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Sample records for assinaturas temporais ndvi

  1. Séries temporais de NDVI do sensor SPOT Vegetation e algoritmo SAM aplicados ao mapeamento de cana‑de‑açúcar

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    Luiz Eduardo Vicente

    2012-09-01

    Full Text Available O objetivo deste trabalho foi avaliar o mapeamento de área de cana‑de‑açúcar por meio de série temporal, de seis anos de dados do índice de vegetação por diferença normalizada (NDVI, oriundos do sensor Vegetation, a bordo do satélite "système pour l'observation de la Terre" (SPOT. Três classes de cobertura do solo (cana‑de‑açúcar, pasto e floresta, do Estado de São Paulo, foram selecionadas como assinaturas espectro‑temporais de referência, que serviram como membros extremos ("endmembers" para classificação com o algoritmo "spectral angle mapper" (SAM. A partir desta classificação, o mapeamento da área de cana‑de‑açúcar foi realizado com uso de limiares na imagem-regra do SAM, gerados a partir dos valores dos espectros de referência. Os resultados mostram que o algoritmo SAM pode ser aplicado a séries de dados multitemporais de resolução moderada, o que permite eficiente mapeamento de alvo agrícola em escala mesorregional. Dados oficiais de áreas de cana‑de‑açúcar, para as microrregiões paulistas, apresentam boa correlação (r² = 0,8 com os dados obtidos pelo método avaliado. A aplicação do algoritmo SAM mostrou ser útil em análises temporais. As séries temporais de NDVI do sensor SPOT Vegetation podem ser utilizadas para mapeamento da área de cana‑de‑açúcar em baixa resolução.

  2. Inferências sobre o calendário agrícola a partir de perfis temporais de NDVI/MODIS

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    Denise Cybis Fontana

    2015-01-01

    Full Text Available Um dos maiores desafios para a modelagem de rendimentos de grãos, no contexto das estimativas de safras feitas de forma operacional para grandes áreas, está relacionado à identificação no tempo dos períodos em que as culturas anuais apresentam maior suscetibilidade a estresses ambientais. Para a cultura da soja, cultivada no período de primavera-verão no sul do Brasil, o principal fator de risco é a ocorrência de estresse hídrico no florescimento e enchimento de grãos. Esses subperíodos ocorrem em períodos distintos ao longo da região de produção como consequência de práticas de manejo diferenciadas dos produtores. Este trabalho teve como objetivo relacionar o calendário agrícola da cultura da soja a perfis temporais do índice de vegetação por diferença normalizada (NDVI/MODIS, com intuito de apresentar/validar uma tecnologia de baixo custo e adequada acurácia para fins de monitoramento e previsão de safras. Para tanto, foram analisados os dados de calendário agrícola (subperíodos de floração, enchimento de grãos e maturação da cultura da soja em regionais da EMATER (RS e imagens NDVI do sensor MODIS. Os resultados mostraram que os perfis temporais de NDVI permitem acompanhar a evolução temporal da biomassa da cultura da soja e determinar a ocorrência dos subperíodos do ciclo. As diferenças no valor do NDVI entre safras, regionais e subperíodos do ciclo da cultura demonstram a sensibilidade deste índice em detectar as respostas das plantas de soja às condições ambientais. Como consequência dos dados de NDVI serem gerados a partir das imagens MODIS, é possível a espacialização da informação acerca dos subperíodos para todas as safras e em todo o Estado, o que permite maior detalhamento temporal e espacial comparativamente à atual disponibilidade dos dados.

  3. Tratamento de ruídos e caracterização de fisionomias do Cerrado utilizando séries temporais do sensor MODIS

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    Antonio Felipe Couto Junior

    2011-06-01

    Full Text Available O Cerrado é formado por um mosaico de fisionomias campestres, savânicas e florestais que possuem um típico ciclo fenológico. Nesse contexto, os dados do MODIS fornecem medidas diárias que permitem monitorar a sazonal fenologia da vegetação. O objetivo deste trabalho foi caracterizar formações savânicas, formações florestais e áreas de cerrado convertido pela ação antrópica, utilizando séries temporais de NDVI e EVI do sensor MODIS, após a suavização de ruídos. A metodologia adotada pode ser subdividida nos seguintes passos: (a confecção do cubo temporal com NDVI e EVI, onde o perfil em z corresponde à assinatura temporal, (b tratamento do ruído e (c detecção das assinaturas temporais. A Transformação pela Fração Mínima de Ruído (MNF foi aplicada para suavizar ruídos contidos nas séries temporais. Os resultados indicaram que os valores de NDVI foram maiores que os valores de EVI e existiu relação com as estações do ano. As formações florestais foram as que apresentaram maiores valores de NDVI e EVI, possuindo ainda as menores variações entre as estações. As áreas convertidas apresentaram os menores valores dos dois índices, tendo grande queda em seus valores no início da estação seca, provavelmente por se tratar do período de colheita. O estudo concluiu que as séries temporais NDVI e EVI são úteis na diferenciação dos tipos de vegetação.

  4. Metodologia para mapeamento da expansão de cana-de-açúcar no Estado de Mato Grosso por meio de séries temporais de NDVI/MODIS

    OpenAIRE

    Víctor Danilo Manabe

    2014-01-01

    Resumo: O aumento na produção da cana-de-açúcar vem gerando grande discussão sobre a sustentabilidade da produção e a sua influência direta na mudança de uso da terra, principalmente em áreas de pastagem e cultura anual. O estudo da dinâmica da cana-de-açúcar tem influência direta em questões como a composição da produção agrícola, nos impactos sobre a biodiversidade, no desenvolvimento social e humano e na definição de políticas públicas. Índice de vegetação, através de séries temporais de i...

  5. Os nomes do nome: o caso da assinatura Alejo Carpentier

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    Eduardo Ferraz Felippe

    2014-12-01

    Full Text Available Este texto parte do problema do falseamento da assinatura Alejo Carpentier para analisar sua trajetória intelectual e a intenção de controlar lugares de leitura de sua obra. Utiliza-se a troca epistolar com Roberto González Echevarría como um momento privilegiado desse controle por meio de sua escrita de si e da assinatura Alejo Carpentier. Ao fim, utiliza-se do tema da dupla assinatura com o fito de ponderar acerca das relações entre memória, escrita de si e engajamento político.

  6. Votação online para iniciativas populares na Califórnia: coleta eletrônica de assinaturas

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    Walter S. Baer

    2012-05-01

    Full Text Available Este artigo discute o processo de coleta online de assinaturas para proposições legislativas, tendo por ponto de partida o processo vigente para iniciativa popular na Califórnia. Nele, descreve-se como a assinatura online de petições de iniciativa popular funcionaria, bem assim como questões de segurança e outras objeções à coleta de assinaturas via internet poderiam ser abordadas e, finalmente, os prós e contras de se aplicar este método de coleta de assinaturas às iniciativas populares.

  7. Tendências temporais de índices de vegetação nos campos do Pampa do Brasil e do Uruguai

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    Ana Paula Luz Wagner

    2013-09-01

    Full Text Available O objetivo deste trabalho foi avaliar a redução do vigor vegetativo da cobertura vegetal do Pampa do Brasil e do Uruguai, por meio da identificação de tendências negativas em séries temporais de imagens. Utilizaram-se séries temporais de imagens de NDVI/EVI do sensor Modis, de 2000 a 2011; imagens de índices de umidade do solo do "climate forecast system reanalysis"; e dados de precipitação pluvial de estações meteorológicas. O estudo quantificou tendências lineares e não lineares nas séries de NDVI e EVI, em áreas de campos. Na tendência monotônica de Mann-Kendall, a 5% de probabilidade, 81,9% da área total estudada foi significativa com o NDVI, e 74,8%, com o EVI; no entanto, o EVI apresentou contraste superior na estimativa dos parâmetros. Os resultados mostraram maior sinal negativo a oeste, com valores médios de R²>0,15, r<-0,3 e τ <-0,15 na tendência dos índices de vegetação, e tendência decrescente para NDVI, EVI e precipitação pluvial, com menores valores médios de umidade do solo. A tendência negativa dos índices de vegetação, relacionada à combinação da ocorrência de deficit hídrico em solos rasos com o sobrepastoreio, indica alterações no padrão de cobertura vegetal do Pampa, com redução do vigor vegetativo.

  8. The relationship of GIMMS AVHRR NDVI, MODIS NDVI, SPOT NDVI and SeaWiFS NDVI for phenological analysis

    Science.gov (United States)

    Chai, J.; de Beurs, K.

    2010-12-01

    Normalized Difference Vegetation Index (NDVI) products derived from the NOAA AVHRR, MODIS, SPOT and SeaWiFS sensors are commonly used for Land Surface Phenology (LSP) analysis. NDVI data can be used to track green vegetation growth stages (emergence, growth, maturity, and harvest), which in turn can help us better monitor the impacts of climate change. However, NDVI products from different instruments vary in spatial resolution, temporal coverage and spectral range. As a result, multi-sensor NDVI products are rarely used in a single phenological study. Most studies that compare NDVI data with the object of extending available records, developed cross sensor translation equations. Instead, in this work, we aim to compare multi-sensor NDVI data by using phenological models. To understand the relationship of LSP derived measurements based on different NDVI datasets, we test two hypotheses: 1)Although there is dissimilarity in data construction, LSP measurements retrieved from NDVI time series from different sensors follow linear relationships if compared by eco-region. To prove this, we compared the Start of Season (SOS) and End of Season (EOS) as extracted from different sensors within the EPA eco-region framework and found that the LSP measurements follow a linear relationship. 2) A phenologically fitted geographic framework could better reflect the similarities among data sources in multi-sensor NDVI comparisons. We found that the EPA eco-region framework appropriately represents the distribution of SOS and EOS in selected areas but that modification of the currently existed eco-region and pheno-region systems could aid future multi-sensor NDVI LSP studies. Comparison and verification are carried out based on different phenological models (SOS, EOS and peak timing).

  9. Modelling critical NDVI curves in perennial ryegrass

    DEFF Research Database (Denmark)

    Gislum, R; Boelt, B

    2010-01-01

      The use of optical sensors to measure canopy reflectance and calculate crop index as e.g. normalized difference vegetation index (NDVI) is widely used in agricultural crops, but has so far not been implemented in herbage seed production. The present study has the purpose to develop a critical...... NDVI curve where the critical NDVI, defined as the minimum NDVI obtained to achieve a high seed yield, will be modelled during the growing season. NDVI measurements were made at different growing degree days (GDD) in a three year field experiment where different N application rates were applied.......9 and intervene in case of a lower NDVI, which means to apply more nitrogen (N). However, this might be impossible in some years. From a practical point of view aims are therefore to obtain the highest NDVI as late as possible in the growing season and if NDVI has to increase this is done by an additional N...

  10. Explaining NDVI trends in northern Burkina Faso

    DEFF Research Database (Denmark)

    Rasmussen, Kjeld; Fensholt, Rasmus; Fog, Bjarne;

    2014-01-01

    Many studies have shown a ‘greening of the Sahel’ on the basis of analysis of time series of satellite images and this has shown to be, at least partly, explained by changes in rainfall. In northern Burkina Faso, an area stands out as anomalous in such analysis, since it is characterized by a dis......Many studies have shown a ‘greening of the Sahel’ on the basis of analysis of time series of satellite images and this has shown to be, at least partly, explained by changes in rainfall. In northern Burkina Faso, an area stands out as anomalous in such analysis, since it is characterized...... by a distinct spatial pattern and strongly dominated by negative trends in Normalized Difference Vegetation Index (NDVI). The aim of the paper is to explain this distinct pattern. When studied over the period 2000–2012, using NDVI data from the MODIS sensor the spatial pattern of NDVI trends indicates that non...

  11. Repercussões temporais da ligadura do ducto biliar principal em ratos Wistar

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    Maia Eugenio Lincoln Campos

    2003-01-01

    Full Text Available OBJETIVO: Objetivou-se investigar os efeitos temporais da ligadura do ducto biliar principal, em ratos Wistar. MÉTODOS: Utilizaram-se 48 ratos machos distribuídos em 2 grupos e redistribuídos em 4 subgrupos (n=06, identificados pelo tempo estipulado para a coleta das amostras (12, 24, 48 e 168 horas. Após laparotomia, os animais foram submetidos à dissecção e passagem de dois fios circundando o ducto biliar principal, sem ligadura (Grupo 1 e com ligadura (Grupo 2. RESULTADOS: As concentrações das bilirrubinas séricas (total, direte e indireta quando comparadas ao repectivo grupo controle, aumentaram (p<0,05 nos animais do grupo 2, nos tempos 24, 48 e 168 horas. As concentrações de proteína C reativa e fosfatase alcalina aumentaram (p<0,05 no grupo 2 no tempo 24 horas e nos tempos 24 e 48 horas, respectivamente. Concentrações de albumina e gamaglutamil transferase, não apresentaram diferenças significantes nos dois grupos. Foram observadas, no exame histopatológico, hiperplasia ductal, pericolangite e colangite no grupo 2 e pericolangite no grupo 1. CONCLUSÕES: A ligadura do ducto biliar principal induz aumento das concentrações séricas de bilirrubinas, proteína C reativa e fosfatase alcalina. Hiperplasia ductal, pericolangite e colangite são as principais alterações histológicas encontradas nos fígados dos ratos submetidos à ligadura do ducto biliar principal.

  12. Evaluation of the Quality of NDVI3g Dataset against Collection 6 MODIS NDVI in Central Europe between 2000 and 2013

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    Anikó Kern

    2016-11-01

    Full Text Available Remote sensing provides invaluable insight into the dynamics of vegetation with global coverage and reasonable temporal resolution. Normalized Difference Vegetation Index (NDVI is widely used to study vegetation greenness, production, phenology and the responses of ecosystems to climate fluctuations. The extended global NDVI3g dataset created by Global Inventory Modeling and Mapping Studies (GIMMS has an exceptional 32 years temporal coverage. Due to the methodology that was used to create NDVI3g inherent noise and uncertainty is present in the dataset. To evaluate the accuracy and uncertainty of application of NDVI3g at regional scale we used Collection-6 data from the MODerate resolution Imaging Spectroradiometer (MODIS sensor on board satellite Terra as a reference. After noise filtering, statistical harmonization of the NDVI3g dataset was performed for Central Europe based on MOD13 NDVI. Mean seasonal NDVI profiles, start, end and length of the growing season, magnitude and timing of peak NDVI were calculated from NDVI3g (original, noise filtered and harmonized and MODIS NDVI and compared with each other. NDVI anomalies were also compared and evaluated using simple climate sensitivity metrics. The results showed that (1 the original NDVI3g has limited applicability in Central Europe, which was also implied by the significant disagreement between the NDVI3g and MODIS NDVI datasets; (2 the harmonization of NDVI3g with MODIS NDVI is promising since the newly created dataset showed improved quality for diverse vegetation metrics. For NDVI anomaly detection NDVI3g showed limited applicability, even after harmonization. Climate–NDVI relationships are not represented well by NDVI3g. The presented results can help researchers to assess the expected quality of the NDVI3g-based studies in Central Europe.

  13. As interrelações envolvendo as principais Bolsas de Valores mundiais: um enfoque utilizando séries temporais

    OpenAIRE

    BATISTA, Arturo Toscanini Soares

    2009-01-01

    As alocações de recursos financeiros em aplicações de bolsas de valores passam por análise dos diversos mercados bursáteis. Nesse sentido, este estudo buscou como objetivo principal a análise das inter-relações existentes entre as bolsas de valores do G7 (grupo dos sete países mais economicamente desenvolvidos) e do BRIC (grupo dos quatro principais países emergentes da atualidade). Para concretização desse objetivo, foram utilizados séries temporais dos principais índices dos ...

  14. Sensitivity of Climate to Changes in NDVI

    Science.gov (United States)

    Bounoua, L.; Collatz, G. J.; Los, S. O.; Sellers, P. J.; Dazlich, D. A.; Tucker, C. J.; Randall, D. A.

    1999-01-01

    The sensitivity of global and regional climate to changes in vegetation density is investigated using a coupled biosphere-atmosphere model. The magnitude of the vegetation changes and their spatial distribution are based on natural decadal variability of the normalized difference vegetation index (ndvi). Different scenarios using maximum and minimum vegetation cover were derived from satellite records spanning the period 1982-1990. Albedo decreased in the northern latitudes and increased in the tropics with increased ndvi. The increase in vegetation density revealed that the vegetation's physiological response was constrained by the limits of the available water resources. The difference between the maximum and minimum vegetation scenarios resulted in a 46% increase in absorbed visible solar radiation and a similar increase in gross photosynthetic C02 uptake on a global annual basis. This caused the canopy transpiration and interception fluxes to increase, and reduced those from the soil. The redistribution of the surface energy fluxes substantially reduced the Bowen ratio during the growing season, resulting in cooler and moister near-surface climate, except when soil moisture was limiting. Important effects of increased vegetation on climate are : (1) A cooling of about 1.8 K in the northern latitudes during the growing season and a slight warming during the winter, which is primarily due to the masking of high albedo of snow by a denser canopy. and (2) A year round cooling of 0.8 K in the tropics. These results suggest that increases in vegetation density could partially compensate for parallel increases in greenhouse warming . Increasing vegetation density globally caused both evapotranspiration and precipitation to increase. Evapotranspiration, however increased more than precipitation resulting in a global soil-water deficit of about 15 %. A spectral analysis on the simulated results showed that changes in the state of vegetation could affect the low

  15. Temporal variations of NDVI and correlations between NDVI and hydro-climatological variables at Lake Baiyangdian, China

    Science.gov (United States)

    Wang, Fei; Wang, Xuan; Zhao, Ying; Yang, Zhifeng

    2014-09-01

    In this paper, correlations between vegetation dynamics (represented by the normalized difference vegetation index (NDVI)) and hydro-climatological factors were systematically studied in Lake Baiyangdian during the period from April 1998 to July 2008. Six hydro-climatological variables including lake volume, water level, air temperature, precipitation, evaporation, and sunshine duration were used, as well as extracted NDVI series data representing vegetation dynamics. Mann-Kendall tests were used to detect trends in NDVI and hydro-climatological variation, and a Bayesian information criterion method was used to detect their abrupt changes. A redundancy analysis (RDA) was used to determine the major hydro-climatological factors contributing to NDVI variation at monthly, seasonal, and yearly scales. The results were as follows: (1) the trend analysis revealed that only sunshine duration significantly increased over the study period, with an inter-annual increase of 3.6 h/year ( p RDA showed that evaporation and temperature were highly correlated with monthly changes in NDVI. At larger time scales, however, water level and lake volume gradually became more important than evaporation and precipitation in terms of their influence on NDVI. These results suggest that water availability is the most important factor in vegetation restoration. In this paper, we recommend a practical strategy for lake ecosystem restoration that takes into account changes in NDVI.

  16. Monitoring Forest Fire with MODIS-NDVI Images in Beijing

    Institute of Scientific and Technical Information of China (English)

    TIAN Xiaorui; SHU Lifu; WANG Mingyu; ZHAO Fengjun

    2006-01-01

    Fuel moisture monitoring is an important component of fire danger rating system in fire management This paper describes the application of NDVI images in monitoring potential fire danger and analyses the relationship between MODIS-NDVI and fire weather index.The series of weather data in Beijing are used in this analysis including fire seasons in spring during 2004 to 2005.Canadian Fire Weather Index (FWI) is selected in this study, because it can properly estimate moisture conditions of live fuel.Fine fuel moisture, drought code and FWI values are generated by using the squared inverse distance algorithm.Strong correlations have previously been observed between FWI variables and NDVI data.The MODIS-NDVI images can be used in fire management as component related with live fuel moisture and fire danger.

  17. NDVI to Detect Sugarcane Aphid Injury to Grain Sorghum.

    Science.gov (United States)

    Elliott, N C; Backoulou, G F; Brewer, M J; Giles, K L

    2015-06-01

    Multispectral remote sensing has potential to provide quick and inexpensive information on sugarcane aphid, Melanaphis sacchari (Zehntner), pest status in sorghum fields. We describe a study conducted to determine if injury caused by sugarcane aphid to sorghum plants in fields of grain sorghum could be detected using multispectral remote sensing from a fixed wing aircraft. A study was conducted in commercial grain sorghum fields in the Texas Gulf Coast region in June 2014. Twenty-six commercial grain sorghum fields were selected and rated for the level of injury to sorghum plants in the field caused by sugarcane aphid. Plant growth stage ranged from 5.0 (watery ripe) to 7.0 (hard dough) among fields; and plant injury rating from sugarcane aphid ranged from 1.0 (little or no injury) to 4.0 (>40% of plants displaying injury) among fields. The normalized differenced vegetation index (NDVI) is calculated from light reflectance in the red and near-infrared wavelength bands in multispectral imagery and is a common index of plant stress. High NDVI indicates low levels of stress and low NDVI indicates high stress. NDVI ranged from -0.07 to 0.26 among fields. The correlation between NDVI and plant injury rating was negative and significant, as was the correlation between NDVI and plant growth stage. The negative correlation of NDVI with injury rating indicated that plant stress increased with increasing plant injury. Reduced NDVI with increasing plant growth probably resulted from reduced photosynthetic activity in more mature plants. The correlation between plant injury rating and plant growth stage was positive and significant indicating that plant injury from sugarcane aphid increased as plants matured. The partial correlation of NDVI with plant injury rating was negative and significant indicating that NDVI decreased with increasing plant injury after adjusting for its association with plant growth stage. We demonstrated that remotely sensed imagery acquired from grain

  18. Correlation between NDVI and the annual groundnut yield in Senegal

    Science.gov (United States)

    Martin, Samuel; Borondo, Javier; Morales, Alfredo; Losada, Juan Carlos; Tarquis, Ana M.; Benito, Rosa M.

    2016-04-01

    A key strategy to assert and minimize risk in agriculture is to gather information about the factors that may affect the production. That is why remote sensing measurements have become a fundamental tool in this area. Between all the existing measurements, the Normalized Difference Vegetation Index (NDVI) is one of the most useful. The NDVI, which is computed using satellite images, takes into account the physicochemical mechanism of the photosynthesis in order to quantify the photosynthetic activity of a an area. A natural question that arises from the risk and hazard management point of view is if this index can help us estimate or even forecast the yield of a given harvest. Intuitively, this should be possible if a correlation between NDVI and yield is found. We have focused our study in the country of Senegal, where more than 70% of the work force is employed in the agricultural sector. Since Senegal is also one of the most important peanut oil producer and exporter, the crop we have chosen for this research is the peanut. The economic relevance of this product guarantees that a significant fraction of the soil will be used for this crop. We have worked with NDVI data computed from satellite images taken with the MODIS instrument of the Terra satellite launched by NASA on 1999. In order to explore the correlations with agricultural yield, we have also retrieved production data from the Food and Agriculture Organization (FAO) of the United Nations. The results we have obtained suggest that a linear correlation between NDVI and yield do exist; moreover, this correlation can be enhanced if, instead of yearly averages of NDVI, the NDVI corresponding to a smaller time period -which lies within the growing season - is taken. Acknowledgements First author acknowledges the Research Grant obtained from CEIGRAM in 2015

  19. O desenvolvimento de noções temporais através da linguagem The development of temporal concepts through language

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    Zena Winona Eisenberg

    2011-01-01

    Full Text Available A vida nas cidades modernas expõe a criança a inúmeros conceitos temporais abstratos: após o seu nascimento, a criança toma conhecimento da programação de atividades com horários específicos, a ordem em que ocorrem e sua duração. Neste estudo investigamos o desenvolvimento de conceitos temporais através da linguagem. Participaram do estudo 20 famílias e suas crianças de 36 a 65 meses de idade que foram recrutadas em creches e pré-escolas numa grande área metropolitana dos Estados Unidos. Pedimos às famílias que gravassem quatro conversas com suas crianças durante o jantar. Os resultados demonstram os diferentes papéis que pais e mães desempenham na negociação de conceitos temporais, assim como a importância do desenvolvimento verbal da criança para sua utilização de conceitos temporais.Life in modern cities exposes a young child to numerous abstract concepts of time. Since birth, a child is introduced to activities with set schedule, set order, and duration. In this study it was investigated the development of time concepts through language. Twenty families and their 36 to 65 months old children who were recruited from day care centers and preschools in a large metropolitan area in the USA participated in this study. Parents were asked to audiotape four dinner conversations at home with their child. Results point to the different roles parents play in the negotiation of time concepts, as well as the importance of children's verbal development in the use of time concepts.

  20. Trend change detection in NDVI time series: Effects of inter-annual variability and methodology

    NARCIS (Netherlands)

    Forkel, M.; Carvalhais, N.; Verbesselt, J.; Mahecha, M.D.; Neigh, C.; Reichstein, M.

    2013-01-01

    Changing trends in ecosystem productivity can be quantified using satellite observations of Normalized Difference Vegetation Index (NDVI). However, the estimation of trends from NDVI time series differs substantially depending on analyzed satellite datase

  1. An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images

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    Yuhan Rao

    2015-06-01

    Full Text Available Due to technical limitations, it is impossible to have high resolution in both spatial and temporal dimensions for current NDVI datasets. Therefore, several methods are developed to produce high resolution (spatial and temporal NDVI time-series datasets, which face some limitations including high computation loads and unreasonable assumptions. In this study, an unmixing-based method, NDVI Linear Mixing Growth Model (NDVI-LMGM, is proposed to achieve the goal of accurately and efficiently blending MODIS NDVI time-series data and multi-temporal Landsat TM/ETM+ images. This method firstly unmixes the NDVI temporal changes in MODIS time-series to different land cover types and then uses unmixed NDVI temporal changes to predict Landsat-like NDVI dataset. The test over a forest site shows high accuracy (average difference: −0.0070; average absolute difference: 0.0228; and average absolute relative difference: 4.02% and computation efficiency of NDVI-LMGM (31 seconds using a personal computer. Experiments over more complex landscape and long-term time-series demonstrated that NDVI-LMGM performs well in each stage of vegetation growing season and is robust in regions with contrasting spatial and spatial variations. Comparisons between NDVI-LMGM and current methods (i.e., Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM, Enhanced STARFM (ESTARFM and Weighted Linear Model (WLM show that NDVI-LMGM is more accurate and efficient than current methods. The proposed method will benefit land surface process research, which requires a dense NDVI time-series dataset with high spatial resolution.

  2. Using NDVI to measure precipitation in semi-arid landscapes

    Science.gov (United States)

    Birtwhistle, Amy N.; Laituri, Melinda; Bledsoe, Brian; Friedman, Jonathan M.

    2016-01-01

    Measuring precipitation in semi-arid landscapes is important for understanding the processes related to rainfall and run-off; however, measuring precipitation accurately can often be challenging especially within remote regions where precipitation instruments are scarce. Typically, rain-gauges are sparsely distributed and research comparing rain-gauge and RADAR precipitation estimates reveal that RADAR data are often misleading, especially for monsoon season convective storms. This study investigates an alternative way to map the spatial and temporal variation of precipitation inputs along ephemeral stream channels using Normalized Difference Vegetation Index (NDVI) derived from Landsat Thematic Mapper imagery. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG), a region covering 3,367 km2 of semiarid landscapes in southwestern Arizona, USA. The change in NDVI from a pre-to post-monsoon season image along ephemeral stream channels explained 73% of the variance in annual monsoonal precipitation totals from a nearby rain-gauge. In addition, large seasonal changes in NDVI along channels were useful in determining when and where flow events have occurred.

  3. AÇÃO ANTRÓPICA SOBRE AS ESCALAS TEMPORAIS DOS FENÔMENOS GEOMORFOLÓGICOS

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    Archimedes Perez Filho

    2012-02-01

    Full Text Available Formas e processos da superfície terrestre possuem manifestação espacial e temporal. Com relação ao tempo, definimos no presente artigo pelo menos quatro escalas de importância na compreensão do objeto de estudo da geomorfologia, a saber: tempo da natureza, histórico do homem, presente e futuro. A verificação da reativação da rede de drenagem e intensificação de processos erosivos relacionados às alterações no nível de base local, devido à construção de represas de usinas hidrelétricas, bem como do fenômeno de desertificação antrópica, ocasionado pela remoção da cobertura vegetal natural em áreas de Neossolos Quartzarênicos são indicadores da capacidade do sistema antrópico de influenciar processos geomorfológicos, impondo-lhes ritmos diferentes, com consequente alteração de suas escalas temporais de ocorrência. Deste modo, comprova-se que processos e formas que se manifestariam na escala de tempo geológico, passam a ocorrer nas escalas do tempo histórico do homem e presente, evidenciando que as formas variadas, rápidas e agressivas com que o homem tem interferido na dinâmica natural da Terra resultam em processos geomorfológicos com gênese antrópica.

  4. Active-Optical Sensors Using Red NDVI Compared to Red Edge NDVI for Prediction of Corn Grain Yield in North Dakota, U.S.A.

    Directory of Open Access Journals (Sweden)

    Lakesh K. Sharma

    2015-11-01

    Full Text Available Active-optical sensor readings from an N non-limiting area standard established within a farm field are used to predict yield in the standard. Lower yield predictions from sensor readings obtained from other parts of the field outside of the N non-limiting standard area indicate a need for supplemental N. Active-optical sensor algorithms for predicting corn (Zea mays, L. yield to direct in-season nitrogen (N fertilization in corn utilize red NDVI (normalized differential vegetative index. Use of red edge NDVI might improve corn yield prediction at later growth stages when corn leaves cover the inter-row space resulting in “saturation” of red NDVI readings. The purpose of this study was to determine whether the use of red edge NDVI in two active-optical sensors (GreenSeeker™ and Holland Scientific Crop Circle™ improved corn yield prediction. Nitrogen rate experiments were established at 15 sites in North Dakota (ND. Sensor readings were conducted at V6 and V12 corn. Red NDVI and red edge NDVI were similar in the relationship of readings with yield at V6. At V12, the red edge NDVI was superior to the red NDVI in most comparisons, indicating that it would be most useful in developing late-season N application algorithms.

  5. UAV-based NDVI calculation over grassland: An alternative approach

    Science.gov (United States)

    Mejia-Aguilar, Abraham; Tomelleri, Enrico; Asam, Sarah; Zebisch, Marc

    2016-04-01

    The Normalised Difference Vegetation Index (NDVI) is one of the most widely used indicators for monitoring and assessing vegetation in remote sensing. The index relies on the reflectance difference between the near infrared (NIR) and red light and is thus able to track variations of structural, phenological, and biophysical parameters for seasonal and long-term monitoring. Conventionally, NDVI is inferred from space-borne spectroradiometers, such as MODIS, with moderate resolution up to 250 m ground resolution. In recent years, a new generation of miniaturized radiometers and integrated hyperspectral sensors with high resolution became available. Such small and light instruments are particularly adequate to be mounted on airborne unmanned aerial vehicles (UAV) used for monitoring services reaching ground sampling resolution in the order of centimetres. Nevertheless, such miniaturized radiometers and hyperspectral sensors are still very expensive and require high upfront capital costs. Therefore, we propose an alternative, mainly cheaper method to calculate NDVI using a camera constellation consisting of two conventional consumer-grade cameras: (i) a Ricoh GR modified camera that acquires the NIR spectrum by removing the internal infrared filter. A mounted optical filter additionally obstructs all wavelengths below 700 nm. (ii) A Ricoh GR in RGB configuration using two optical filters for blocking wavelengths below 600 nm as well as NIR and ultraviolet (UV) light. To assess the merit of the proposed method, we carry out two comparisons: First, reflectance maps generated by the consumer-grade camera constellation are compared to reflectance maps produced with a hyperspectral camera (Rikola). All imaging data and reflectance maps are processed using the PIX4D software. In the second test, the NDVI at specific points of interest (POI) generated by the consumer-grade camera constellation is compared to NDVI values obtained by ground spectral measurements using a

  6. Eletromiografia dos músculos temporais e masseteres em pacientes com disfunção temporomandibular tratados com placa interoclusal

    OpenAIRE

    2010-01-01

    Os objetivos do presente estudo foram analisar os efeitos do tratamento de pacientes com Desordem temporomandibular (DTM) articular crônica com a placa interoclusal estabilizadora modelo Michigan por meio dos índices eletromiográficos POC dos temporais, POC dos masseteres, TORS, ASSIM, Ativação, Ativação absoluta, TORQUE, Impacto, em máximo apertamento dental voluntário (MCV) em máxima intercuspidação habitual (MIH) e máximo apertamento voluntário com algodão entre os dentes (MAA). Foram tamb...

  7. A global study of NDVI difference among moderate-resolution satellite sensors

    Science.gov (United States)

    Fan, Xingwang; Liu, Yuanbo

    2016-11-01

    Moderate-resolution sensors, including AVHRR (Advanced Very High Resolution Radiometer), MODIS (MODerate-resolution Imaging Spectroradiometer) and VIIRS (Visible-Infrared Imager-Radiometer Suite), have provided over forty years of global scientific data. In the form of NDVI (Normalized Difference Vegetation Index), these data greatly benefit environmental studies. However, their usefulness is compromised by sensor differences. This study investigates the global NDVI difference and its spatio-temporal patterns among typical moderate-resolution sensors, as supported by state-of-the-art remote sensing derived products. Our study demonstrates that the atmosphere plays a secondary role to LULC (Land Use/Land Cover) in inter-sensor NDVI differences. With reference to AVHRR/3, AVHRR/1 and 2 exhibit negative NDVI biases for vegetated land cover types. In summer (July), the area of negative bias shifts northward, and the magnitude increases in the Northern Hemisphere. For most LULC types, the bias generally shifts in the negative direction from winter (January) to summer. A linear regression of the NDVI difference versus NDVI shows a close correlation between the slope value and vegetation phenology. Overall, NDVI differences are controlled by LULC type and vegetation phenology. Our study can be used to generate a long-term, consistent NDVI data set from composite MODIS and AVHRR NDVI data. LULC-dependent and temporally variable correction equations are recommended to reduce inter-sensor NDVI differences.

  8. The temporal and spatial relationship between NDVI and climatological parameters in Colorado

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper describes the spatial and temporal relationship between AVHRR/NDVI (Normalized Difference Vegetation Index) and climatological parameters (temperature and precipitation), which, in some sense, is influenced by topographical factors and land-cover types in Colorado. The correlation coefficients and partial correlation coefficients have been computed pixel by pixel over Colorado in order to analyze the relationship. The temporal variation and correlation of AVHRR/NDVI, temperature and precipitation were analyzed with a sampling method. The study reveals that there exists a close correspondence between monthly NDVI and temperature, which has strong impact from temperature on the changes of NDVI in Colorado. The spatial changes of NDVI are not influenced obviously by the precipitation since these two variables are different from each other in time series in Colorado. The study clearly revealed the spatial variation and its distribution patterns of relationship between NDVI and climatic parameters (temperature and precipitation) in Colorado.

  9. Propriedades de estruturas temporais rápidas submilimétricas durante uma grande explosão solar

    Science.gov (United States)

    Raulin, J.-P.; Kaufmann, P.; Gimenez de Castro, C. G.; Pacini, A. A.; Makhmutov, V.; Levato, H.; Rovira, M.

    2003-08-01

    Apresentamos novas propriedades de variações rápidas da emissão submilimétrica durante uma das maiores explosões solares do ciclo solar 23. Os dados analisados neste estudo foram obtidos com o Telescópio Solar Submilimétrico (SST), que observa o Sol em 212 GHz e 405 GHz, e comparados com emissões em Raios-X duros e Raios-gama (fótons de energia > 10 MeV), que foram obtidas pelo experimento GRS do Yohkoh. Aplicamos diferentes metodologias para detectar e caracterizar, ao longo do evento, os pulsos submilimétricos (duração de 50-300 ms) detectados acima de uma componente mais lenta (alguns minutos). Os resultados mostram que durante a fase impulsiva, num instante próximo ao tempo do máximo do evento, houve um aumento da ocorrência de maiores e de mais rápidas estruturas temporais. Também identificamos uma boa correlação com as emissões em raios-X e raios-gama (até a faixa de energia 10-100 MeV), indicando que os pulsos rápidos submilimétricos refletiram injeções primárias de energia durante o evento.O espectro do fluxo desses pulsos é crescente com a freqüência entre 212 and 405 GHz, na maioria dos casos, ao contrário do observado para a componente gradual. As posições calculadas para as estruturas rápidas são discretas, compactas e localizadas em toda a área da região ativa, o que é previsto nos modelos de explosões solares decorrentes de instabilidades múltiplas em diferentes pequenas regiões. Por outro lado, a posição calculada para a componente lenta é estável durante a fase impulsiva. Assim, a comparação entre as características do espectro de fluxo e da localização da emissão, para os pulsos rápidos e para a componente gradual, sugere que as respectivas emissões são de natureza diferente.

  10. Tendência das séries temporais de precipitação da região sul do Brasil

    Directory of Open Access Journals (Sweden)

    Adilson Pinheiro

    2013-09-01

    Full Text Available O objetivo deste trabalho é avaliar a presença de tendências nas séries temporais de precipitação no Sul do Brasil. Foram analisadas séries temporais diárias, mensais e anuais de 18 estações pluviométricas. As distribuições de probabilidade normal e de extremos tipo I foram empregadas para análise dos dados. Foi, ainda, aplicado o teste de tendência de Mann-Kendall na detecção de tendências ou de variabilidades climáticas. Os resultados mostram uma tendência positiva dos máximos diários anuais ao longo do tempo, assim como significativa elevação dos totais mensais e anuais na maioria das estações. O teste de tendência de Mann-Kendal mostra mudanças estatisticamente significativas, ao nível de 95%, em 16 das 18 estações pluviométricas analisadas.

  11. Study on the Influence of Abrupt Climate Variation on the Vegetation Based on NDVI

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    [Objective] The research aimed to study the influence of abrupt climate variation on the vegetation based on NDVI. [Method] Based on NDVI and climate data in China during 1982-2000, by using Mann-kendall (MK) abrupt change detection method, the abrupt variations of climate and NDVI were detected. Then, the relationship between two kinds of abrupt variations was discussed. [Result] The large-area abrupt variations of monthly average temperature and rainfall happened in 1983, and the occurrence range in 1999 ...

  12. Analysis of the Relationship Between Climate and NDVI Variability at Global Scales

    Science.gov (United States)

    Zeng, Fan-Wei; Collatz, G. James; Pinzon, Jorge; Ivanoff, Alvaro

    2011-01-01

    interannual variability in modeled (CASA) C flux is in part caused by interannual variability in Normalized Difference Vegetation Index (NDVI) Fraction of Photosynthetically Active Radiation (FPAR). This study confirms a mechanism producing variability in modeled NPP: -- NDVI (FPAR) interannual variability is strongly driven by climate; -- The climate driven variability in NDVI (FPAR) can lead to much larger fluctuation in NPP vs. the NPP computed from FPAR climatology

  13. Dynamic LiDAR-NDVI classification of fluvial landscape units

    Science.gov (United States)

    Ramírez-Núñez, Carolina; Parrot, Jean-François

    2015-04-01

    The lower basin of the Coatzacoalcos River is a wide floodplain in which, during the wet season, local and major flooding are distinguished. Both types of floods, intermittent and regional, are important in terms of resources; the regional flood sediments enrich the soils of the plains and intermittent floods allow obtaining aquatic resources for subsistence during the heatwave. In the floodplain different abandoned meanders and intermittent streams are quickly colonized by aquatic vegetation. However, from the 1990s, the Coatzacoalcos River floodplain has important topographic changes due to mining, road and bridges construction; erosion and sedimentation requires continuous parcel boundaries along with the increasing demand of channel reparation, embankments, levees and bridges associated to tributaries. NDVI data, LiDAR point cloud and various types of flood simulations taking into account the DTM are used to classify the dynamic landscape units. These units are associated to floods in relation with water resources, agriculture and livestock. In the study area, the first returns of the point cloud allow extracting vegetation strata. The last returns correspond to the bare earth surface, especially in this area with few human settlements. The surface that is not covered by trees or by aquatic vegetation, correspond to crops, pastures and bare soils. The classification is obtained by using the NDVI index coupled with vegetation strata and water bodies. The result shows that 47.96% of the area does not present active vegetation and it includes 31.53% of bare soils. Concerning the active vegetation, pastures, bushes and trees represent respectively 25.59%, 11.14% and 13.25%. The remaining 1.25% is distributed between water bodies with aquatic vegetation, trees and shrubs. Dynamic landscape units' classification represents a tool for monitoring water resources in a fluvial plain. This approach can be also applied to forest management, environmental services and

  14. A Normalized Difference Vegetation Index (NDVI Time-Series of Idle Agriculture Lands: A Preliminary Study

    Directory of Open Access Journals (Sweden)

    Andrew K Skidmore

    2011-01-01

    Full Text Available In this paper, the NDVI time-series collected from the study area between year 2003 and 2005 of all land cover types are plotted and compared. The study area is the agricultural zones in Banphai District, Khonkean, Thailand. The LANDSAT satellite images of different dates were first transformed into a time series of Normalized Difference Vegetation Index (NDVI images before the investigation. It can be visually observed that the NDVI time series of the Idle Agriculture Land (IAL has the NDVI values closed to zero. In other words, the trend of the NDVI values remains, approximately, unchanged about the zero level for the whole period of the study time. In contrast, the non-idle areas hold a higher level of the NDVI variation. The NDVI values above 0.5 can be found in these non-idle areas during the growing seasons. Thus, it can be hypothesized that the NDVI time-series of the different land cover types can be used for IAL classification. This outcome is a prerequisite to the follow-up study of the NDVI pattern classification that will be done in the near future.

  15. Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology

    Science.gov (United States)

    Forkel, Matthias; Carvalhais, Nuno; Verbesselt, Jan; Mahecha, Miguel D.; Neigh, Christopher S.R.; Reichstein, Markus

    2013-01-01

    Changing trends in ecosystem productivity can be quantified using satellite observations of Normalized Difference Vegetation Index (NDVI). However, the estimation of trends from NDVI time series differs substantially depending on analyzed satellite dataset, the corresponding spatiotemporal resolution, and the applied statistical method. Here we compare the performance of a wide range of trend estimation methods and demonstrate that performance decreases with increasing inter-annual variability in the NDVI time series. Trend slope estimates based on annual aggregated time series or based on a seasonal-trend model show better performances than methods that remove the seasonal cycle of the time series. A breakpoint detection analysis reveals that an overestimation of breakpoints in NDVI trends can result in wrong or even opposite trend estimates. Based on our results, we give practical recommendations for the application of trend methods on long-term NDVI time series. Particularly, we apply and compare different methods on NDVI time series in Alaska, where both greening and browning trends have been previously observed. Here, the multi-method uncertainty of NDVI trends is quantified through the application of the different trend estimation methods. Our results indicate that greening NDVI trends in Alaska are more spatially and temporally prevalent than browning trends. We also show that detected breakpoints in NDVI trends tend to coincide with large fires. Overall, our analyses demonstrate that seasonal trend methods need to be improved against inter-annual variability to quantify changing trends in ecosystem productivity with higher accuracy.

  16. Relationships between tree-ring width index and NDVI of grassland in Delingha

    Institute of Scientific and Technical Information of China (English)

    HE Jicheng; SHAO Xuemei

    2006-01-01

    Using five well-replicated Qilian juniper (Sabina przewalskii Kom.) tree-ring width index series, monthly normalized difference vegetation index (NDVI) of grassland, and climatic data from 1982 to 2001, the relationships between tree-ring width index, NDVI of grassland, and climatic data were analyzed firstly. Then, the relationship between tree-ring width index and NDVI of grassland was explored. The results showed that: (1) Temperature and precipitation in June influenced tree-ring width index and NDVI of grassland deeply in Delingha. (2) There were significant relationships between five tree-ring width index series (DLH1-DLH5) and monthly NDVI of grassland from June to September, with the most significant relationship being between tree-ring width index series and NDVI of grassland in August. (3) The PC1 (the first principal component derived from DLH1-DLH5 series) exhibited good agreement with monthly NDVI of grassland in the grass growth season (from June to September) and the averaged NDVI in the growth season, which was attributed to their common responses to water-supply limit in Delingha. This study may allow an increase in studying the past dynamics of grassland in Delingha in that the variation of grassland NDVI during the last millennium has been reconstructed from PC1.

  17. STUDY ON THE INTERACTION BETWEEN NDVI PROFILE AND THE GROWING STATUS OF CROPS

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    Daily and ten-day Normalized Difference Vegetation Index( NDVI) of crops were retrieved from meteorological satellite NOAA AVHRR images. The temporal variations of the NDVI were analyzed during the whole growing season, and thus the principle of the interaction between NDVI profile and the growing status of crops was discussed. As a case in point, the relationship between integral NDVI and winter wheat yield of Henan Province in 1999 had been analyzed. By putting integral NDVI values of 60 sample counties into the winter wheat yield-integral NDVI coordination, scattering map was plotted. It demonstrated that integral NDVI had a close relation with winter wheat yield. These relation could be described with linear, cubic polynomial, and exponential regression, and the cubic polynomial regression was the best way. In general, NDVI reflects growing status of green vegetation, so crop monitoring and crop yield estimation could be realized by using remote sensing technique on the basis of time serial NDVI data together with agriculture calendars.

  18. Study on NDVI-Ts space by combining LAI and evapotranspiration

    Institute of Scientific and Technical Information of China (English)

    HAN Lijuan; WANG Pengxin; YANG Hua; LIU Shaomin; WANG Jindi

    2006-01-01

    This paper focuses on interpreting the different spatial relationships between NDVI and Ts, a triangular or a trapezoid, and on analyzing transformation conditions, the physical and ecological meanings of the vegetation index-surface temperature space as well. Further, we use the Temperature-Vegetation Dryness Index (TVDI) to explain the existent meaning of a triangular space after NDVI reaches its saturated state by employing the relationships between NDVI, LAI and evapotranspiration.The specific relations between NDVI and Ts are useful for describing, validating and updating land surface models.

  19. Spatiotemporal variability and predictability of Normalized Difference Vegetation Index (NDVI) in Alberta, Canada.

    Science.gov (United States)

    Jiang, Rengui; Xie, Jiancang; He, Hailong; Kuo, Chun-Chao; Zhu, Jiwei; Yang, Mingxiang

    2016-09-01

    As one of the most popular vegetation indices to monitor terrestrial vegetation productivity, Normalized Difference Vegetation Index (NDVI) has been widely used to study the plant growth and vegetation productivity around the world, especially the dynamic response of vegetation to climate change in terms of precipitation and temperature. Alberta is the most important agricultural and forestry province and with the best climatic observation systems in Canada. However, few studies pertaining to climate change and vegetation productivity are found. The objectives of this paper therefore were to better understand impacts of climate change on vegetation productivity in Alberta using the NDVI and provide reference for policy makers and stakeholders. We investigated the following: (1) the variations of Alberta's smoothed NDVI (sNDVI, eliminated noise compared to NDVI) and two climatic variables (precipitation and temperature) using non-parametric Mann-Kendall monotonic test and Thiel-Sen's slope; (2) the relationships between sNDVI and climatic variables, and the potential predictability of sNDVI using climatic variables as predictors based on two predicted models; and (3) the use of a linear regression model and an artificial neural network calibrated by the genetic algorithm (ANN-GA) to estimate Alberta's sNDVI using precipitation and temperature as predictors. The results showed that (1) the monthly sNDVI has increased during the past 30 years and a lengthened growing season was detected; (2) vegetation productivity in northern Alberta was mainly temperature driven and the vegetation in southern Alberta was predominantly precipitation driven for the period of 1982-2011; and (3) better performances of the sNDVI-climate relationships were obtained by nonlinear model (ANN-GA) than using linear (regression) model. Similar results detected in both monthly and summer sNDVI prediction using climatic variables as predictors revealed the applicability of two models for

  20. Spatiotemporal variability and predictability of Normalized Difference Vegetation Index (NDVI) in Alberta, Canada

    Science.gov (United States)

    Jiang, Rengui; Xie, Jiancang; He, Hailong; Kuo, Chun-Chao; Zhu, Jiwei; Yang, Mingxiang

    2016-09-01

    As one of the most popular vegetation indices to monitor terrestrial vegetation productivity, Normalized Difference Vegetation Index (NDVI) has been widely used to study the plant growth and vegetation productivity around the world, especially the dynamic response of vegetation to climate change in terms of precipitation and temperature. Alberta is the most important agricultural and forestry province and with the best climatic observation systems in Canada. However, few studies pertaining to climate change and vegetation productivity are found. The objectives of this paper therefore were to better understand impacts of climate change on vegetation productivity in Alberta using the NDVI and provide reference for policy makers and stakeholders. We investigated the following: (1) the variations of Alberta's smoothed NDVI (sNDVI, eliminated noise compared to NDVI) and two climatic variables (precipitation and temperature) using non-parametric Mann-Kendall monotonic test and Thiel-Sen's slope; (2) the relationships between sNDVI and climatic variables, and the potential predictability of sNDVI using climatic variables as predictors based on two predicted models; and (3) the use of a linear regression model and an artificial neural network calibrated by the genetic algorithm (ANN-GA) to estimate Alberta's sNDVI using precipitation and temperature as predictors. The results showed that (1) the monthly sNDVI has increased during the past 30 years and a lengthened growing season was detected; (2) vegetation productivity in northern Alberta was mainly temperature driven and the vegetation in southern Alberta was predominantly precipitation driven for the period of 1982-2011; and (3) better performances of the sNDVI-climate relationships were obtained by nonlinear model (ANN-GA) than using linear (regression) model. Similar results detected in both monthly and summer sNDVI prediction using climatic variables as predictors revealed the applicability of two models for

  1. Agreement evaluation of AVHRR and MODIS 16-day composite NDVI data sets

    Science.gov (United States)

    Ji, L.; Gallo, K.; Eidenshink, J.C.; Dwyer, J.

    2008-01-01

    Satellite-derived normalized difference vegetation index (NDVI) data have been used extensively to detect and monitor vegetation conditions at regional and global levels. A combination of NDVI data sets derived from AVHRR and MODIS can be used to construct a long NDVI time series that may also be extended to VIIRS. Comparative analysis of NDVI data derived from AVHRR and MODIS is critical to understanding the data continuity through the time series. In this study, the AVHRR and MODIS 16-day composite NDVI products were compared using regression and agreement analysis methods. The analysis shows a high agreement between the AVHRR-NDVI and MODIS-NDVI observed from 2002 and 2003 for the conterminous United States, but the difference between the two data sets is appreciable. Twenty per cent of the total difference between the two data sets is due to systematic difference, with the remainder due to unsystematic difference. The systematic difference can be eliminated with a linear regression-based transformation between two data sets, and the unsystematic difference can be reduced partially by applying spatial filters to the data. We conclude that the continuity of NDVI time series from AVHRR to MODIS is satisfactory, but a linear transformation between the two sets is recommended.

  2. Evaluating temporal consistency of long-term global NDVI datasets for trend analysis

    NARCIS (Netherlands)

    Tian, F.; Fensholt, R.; Verbesselt, J.; Grogan, K.; Horion, S.; Wang, Y.

    2015-01-01

    As a way to understand vegetation changes, trend analysis on NDVI (normalized difference vegetation index) time series data have been widely performed at regional to global scales. However, most long-term NDVI datasets are based upon multiple sensor systems and unsuccessful corrections related to se

  3. Batendo palmas a uma só mão: Colonialismo, pós-colonialismo e as fronteiras espácio-temporais do modernismo

    Directory of Open Access Journals (Sweden)

    Susan Stanford Friedman

    2012-10-01

    Full Text Available O ensaio põe em causa a ideia dominante de que o Ocidente inventou a modernidade e o modernismo, enquanto o resto do mundo se limitou a imitar o Ocidente mediante formas dele derivadas. Reflecte sobre as paisagens urbanas de Xangai e Manhattan para desfazer a equivalência comummente aceite entre modernização e ocidentalização, e socorre-se da história mundial comparada e dos estudos pós-coloniais para sugerir novos modos de pensar os limites espácio-temporais do modernismo/modernidade. Põe em paralelo as traduções de gravuras japonesas por Cassatt, as adaptações de artefactos africanos por Picasso e a reescrita de Conrad pelo escritor sudanês Tayeb Salih para demonstrar a existência de fluxos culturais transcontinentais na formação de diferentes modernismos.

  4. Aspectos temporais auditivos em adolescentes do 6º ano do Ensino Fundamental Temporal aspects of hearing in adolescents from the 6th year of elementary education

    Directory of Open Access Journals (Sweden)

    Sulamita da Silva Marcelino Terto

    2012-01-01

    Full Text Available OBJETIVO: esclarecer a relação entre desempenho escolar e aspectos temporais auditivos. MÉTODO: estudo descritivo-transversal com amostra de conveniência, composta por 82 estudantes, na faixa etária de 11 a 13 anos, sendo 43 do sexo feminino e 38 do sexo masculino do 6º ano de uma escola de financiamento privado na Região Metropolitana de Belo Horizonte. Cada estudante respondeu a um formulário de caracterização da amostra, realizou o Teste de Desempenho Escolar e foi submetido aos testes que avaliam os aspectos temporais auditivos: Teste Padrão de Duração, Teste Padrão de Frequência e Teste Gap-in-Noise. RESULTADOS: os testes que avaliam os aspectos temporais auditivos não sofreram influência relacionada às variáveis sexo, idade, realização de atividades de musicalização e preferência manual. Com exceção da variável "acompanhamento fonoaudiológico" que apresentou significância estatística no teste Gap-in-Noise. Os subtestes do Teste de Desempenho Escolar que exerceram maior influencia no desempenho nos testes Padrão de Duração e Padrão de Frequência foram Escrita, seguida de Leitura e Aritmética. CONCLUSÃO: a análise dos dados revelou que há correlação entre desempenho escolar e aspectos temporais auditivos. Cabe ressaltar que os testes que avaliam a ordenação temporal complexa (Teste Padrão de Frequência e Teste Padrão de Duração são influenciados pelo desempenho no Teste de Desempenho Escolar. Porém o mesmo não ocorre com o teste que avalia resolução temporal (Gap-in-Noise.PURPOSE: to elucidate the relationship between school performance and temporal aspects of hearing. METHOD: a descriptive cross-sectional convenience sample composed of 82 students, aged 11-13 years, 43 females, and 38 males in the 6th grade at a private funding school in the Metropolitan Region of Belo Horizonte. Each student responded to one form of sample characterization, performed the Academic Performance Test and was

  5. Aspectos temporais auditivos em adolescentes do 6º ano do ensino fundamental Temporal aspects of hearing in adolescents from the 6th year of elementary education

    Directory of Open Access Journals (Sweden)

    Sulamita da Silva Marcelino Terto

    2013-04-01

    Full Text Available OBJETIVO: esclarecer a relação entre desempenho escolar e aspectos temporais auditivos. MÉTODO: estudo descritivo-transversal com amostra de conveniência, composta por 82 estudantes, na faixa etária de 11 a 13 anos, sendo 43 do sexo feminino e 38 do sexo masculino do 6º ano de uma escola de financiamento privado na Região Metropolitana de Belo Horizonte. Cada estudante respondeu a um formulário de caracterização da amostra, realizou o Teste de Desempenho Escolar e foi submetido aos testes que avaliam os aspectos temporais auditivos: Teste Padrão de Duração, Teste Padrão de Frequência e Teste Gap-in-Noise. RESULTADOS: os testes que avaliam os aspectos temporais auditivos não sofreram influência relacionada às variáveis sexo, idade, realização de atividades de musicalização e preferência manual. Com exceção da variável "acompanhamento fonoaudiológico" que apresentou significância estatística no teste Gap-in-Noise. Os subtestes do Teste de Desempenho Escolar que exerceram maior influencia no desempenho nos testes Padrão de Duração e Padrão de Frequência foram Escrita, seguida de Leitura e Aritmética. CONCLUSÃO: a análise dos dados revelou que há correlação entre desempenho escolar e aspectos temporais auditivos. Cabe ressaltar que os testes que avaliam a ordenação temporal complexa (Teste Padrão de Frequência e Teste Padrão de Duração são influenciados pelo desempenho no Teste de Desempenho Escolar. Porém o mesmo não ocorre com o teste que avalia resolução temporal (Gap-in-Noise.PURPOSE: to elucidate the relationship between school performance and temporal aspects of hearing. METHOD: a descriptive cross-sectional convenience sample composed of 82 students, aged 11-13 years, 43 females, and 38 males in the 6th grade at a private funding school in the Metropolitan Region of Belo Horizonte. Each student responded to one form of sample characterization, performed the Academic Performance Test and was

  6. Quantitative Analysis of Relationship Between HJ-1 NDVI and MODIS NDVI%环境一号卫星与 MODIS NDVI 的定量关系分析

    Institute of Scientific and Technical Information of China (English)

    陈星; 刘智华

    2015-01-01

    不同遥感器由于波段设置和光谱响应函数差异导致其在红光和近红外波段所接收的地物反射信号不同,产生了 NDVI 的不一致性问题,针对这一问题,该文研究了 HJ-1 NDVI 和 MODIS NDVI 的定量关系。采用高光谱 Hyperion 数据进行光谱卷积和空间卷积,模拟 HJ-1与 MODIS 两遥感器波段反射率数据。通过计算 NDVI,进行回归分析求出两者之间的定量关系。分别基于单一覆盖类型和混合覆盖类型建立 HJ-1与 MODIS 的转换方程,排除其定量关系可能受不同土地覆盖类型的影响。定量分析与精度验证表明:HJ-1 NDVI 与 MODIS NDVI有很高的线性正相关性(R 2>0.99);单一覆盖类型转换精度高于混合覆盖类型转换精度,均能满足定量应用要求,但单一覆盖类型转换在实际应用中较为复杂,可采用混合覆盖类型转换方程进行 HJ-1 NDVI 与 MODIS NDVI 的转换。%Quantitative relationship between NDVI of HJ-1 and MODIS was acquired using Hyperion hyperspectral data. Hyperion scenes were processed to simulate NDVI of the two sensors.To study the effect of land cover on the relationship of NDVI of HJ-1 and MODIS,regression models were derived both for land cover-dependent and land cover-independent situation. The conversion models were directly validated by comparison of HJ-1 and MODIS image data.The result indicated that HJ-1 NDVI was highly correlated with MODIS NDVI (R2 >0.99);Regression models under both situations worked well.The land cover-dependent model worked slightly better than the land cover-independent,but it was more complicated when used.So it was suggested to use a single equation to convert HJ-1 NDVI to MODIS NDVI.

  7. Trauma dos ossos temporais e suas complicações: aspectos na tomografia computadorizada Temporal bone trauma and complications: computed tomography findings

    Directory of Open Access Journals (Sweden)

    Ana Maria Doffémond Costa

    2013-04-01

    Full Text Available A maioria das fraturas dos ossos temporais resulta de traumas cranianos bruscos, de alta energia, estando muitas vezes relacionadas a outras fraturas cranianas ou a politraumatismo. As fraturas e os deslocamentos da cadeia ossicular, na orelha média, representam umas das principais complicações das injúrias nos ossos temporais e, por isso, serão abordadas de maneira mais profunda neste artigo. Os outros tipos de injúrias englobam as fraturas labirínticas, fístula dural, paralisia facial e extensão da linha de fratura ao canal carotídeo. A tomografia computadorizada tem papel fundamental na avaliação inicial dos pacientes politraumatizados, pois é capaz de identificar injúrias em importantes estruturas que podem causar graves complicações, como perda auditiva de condução ou neurossensorial, tonturas e disfunções do equilíbrio, fístulas perilinfáticas, paralisia do nervo facial, lesões vasculares, entre outras.Most temporal bone fractures result from high-energy blunt head trauma, and are frequently related to other skull fractures or to polytrauma. Fractures and displacements of ossicular chain in the middle ear represent some of the main complications of temporal bone injury, and hence they will be more deeply approached in the present article. Other types of injuries include labyrinthine fractures, dural fistula, facial nerve paralysis and extension into the carotid canal. Computed tomography plays a fundamental role in the initial evaluation of polytrauma patients, as it can help to identify important structural injuries that may lead to severe complications such as sensorineural hearing loss, conductive hearing loss, dizziness and balance dysfunction, perilymphatic fistulas, facial nerve paralysis, vascular injury and others.

  8. Comportamento do NDVI obtido por sensor ótico ativo em cereais Behavior of NDVI obtained from an active optical sensor in cereals

    Directory of Open Access Journals (Sweden)

    Fabrício Pinheiro Povh

    2008-08-01

    Full Text Available O objetivo deste trabalho foi avaliar, com um sensor ótico ativo, o comportamento do índice de vegetação por diferença normalizada (NDVI - "normalized difference vegetation index", nas culturas de trigo, triticale, cevada e milho. Cinco experimentos foram conduzidos no Paraná e São Paulo, com variação de classes de solo, doses e fontes de N, e variedades de trigo. As seguintes variáveis foram avaliadas: NDVI, teor de N foliar, matéria seca e produtividade das culturas. Análises de regressões foram realizadas entre as doses de N aplicadas e NDVI, teor de N foliar, matéria seca e produtividade. Análises de correlação entre as variáveis foram realizadas. O trigo, triticale e cevada apresentaram resposta às aplicações de doses crescentes de N, pelo aumento nas leituras do NDVI, no teor de N foliar e na produtividade. Medido pelo sensor ótico ativo utilizado, o NDVI apresenta alto potencial para manejo do N nas culturas do trigo, triticale e cevada, e baixo potencial para a cultura do milho. Há interferência das variedades de trigo nas leituras do sensor ótico ativo.The objective of this work was to evaluate the behavior of the normalized difference vegetation index (NDVI, with an active optical sensor, in wheat, triticale, barley and corn crops. Experiments were conducted in Paraná and São Paulo, comparing different soil classes, N rates and sources, and wheat varieties. The following variables were determined: NDVI, N foliar content, dry mass and crop yield. Regression analyses were performed between NDVI and applied N rates, N foliar content, dry mass and yield. Correlation analyses among the variables were performed. Wheat, triticale and barley crops showed response to increasing N rates by the increase in the NDVI readings, to N foliar content and to yield. Measured by the used active optical sensor the NDVI shows high potential for N management wheat, triticale and barley crops, and low potential for corn crops. There

  9. Using NDVI and guided sampling to develop yield prediction maps of processing tomato crop

    Energy Technology Data Exchange (ETDEWEB)

    Fortes, A.; Henar Prieto, M. del; García-Martín, A.; Córdoba, A.; Martínez, L.; Campillo, C.

    2015-07-01

    The use of yield prediction maps is an important tool for the delineation of within-field management zones. Vegetation indices based on crop reflectance are of potential use in the attainment of this objective. There are different types of vegetation indices based on crop reflectance, the most commonly used of which is the NDVI (normalized difference vegetation index). NDVI values are reported to have good correlation with several vegetation parameters including the ability to predict yield. The field research was conducted in two commercial farms of processing tomato crop, Cantillana and Enviciados. An NDVI prediction map developed through ordinary kriging technique was used for guided sampling of processing tomato yield. Yield was studied and related with NDVI, and finally a prediction map of crop yield for the entire plot was generated using two geostatistical methodologies (ordinary and regression kriging). Finally, a comparison was made between the yield obtained at validation points and the yield values according to the prediction maps. The most precise yield maps were obtained with the regression kriging methodology with RRMSE values of 14% and 17% in Cantillana and Enviciados, respectively, using the NDVI as predictor. The coefficient of correlation between NDVI and yield was correlated in the point samples taken in the two locations, with values of 0.71 and 0.67 in Cantillana and Enviciados, respectively. The results suggest that the use of a massive sampling parameter such as NDVI is a good indicator of the distribution of within-field yield variation. (Author)

  10. The effect of topography on arctic-alpine aboveground biomass and NDVI patterns

    Science.gov (United States)

    Riihimäki, Henri; Heiskanen, Janne; Luoto, Miska

    2017-04-01

    Topography is a key factor affecting numerous environmental phenomena, including Arctic and alpine aboveground biomass (AGB) distribution. Digital Elevation Model (DEM) is a source of topographic information which can be linked to local growing conditions. Here, we investigated the effect of DEM derived variables, namely elevation, topographic position, radiation and wetness on AGB and Normalized Difference Vegetation Index (NDVI) in a Fennoscandian forest-alpine tundra ecotone. Boosted regression trees were used to derive non-parametric response curves and relative influences of the explanatory variables. Elevation and potential incoming solar radiation were the most important explanatory variables for both AGB and NDVI. In the NDVI models, the response curves were smooth compared with AGB models. This might be caused by large contribution of field and shrub layer to NDVI, especially at the treeline. Furthermore, radiation and elevation had a significant interaction, showing that the highest NDVI and biomass values are found from low-elevation, high-radiation sites, typically on the south-southwest facing valley slopes. Topographic wetness had minor influence on AGB and NDVI. Topographic position had generally weak effects on AGB and NDVI, although protected topographic position seemed to be more favorable below the treeline. The explanatory power of the topographic variables, particularly elevation and radiation demonstrates that DEM-derived land surface parameters can be used for exploring biomass distribution resulting from landform control on local growing conditions.

  11. Desertification Risk Monitoring for North Shaanxi Province, China, Using Normalized Difference Vegetation Index (NDVI)

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    In this study, the remote sensing is applied to the examination of the relationship between desertification and normalized difference vegetation index (NDVI) in the context of northern Shaanxi Province. This relationship is also examined using spatial analysis methods. A strong negative correlation is found in the largest area desert, indicating that the relationship between desert and NDVI is not a simple linear one and that the correlation coefficient between NDVI and vegetation abundance is significant.The normalized difference vegetation index (NDVI) was compared with other vegetation index-based methodologies. NDVI is a valuable first-cut indicator for such systems, although the analysis and interpretation of its relationship to desertification are complex and also based on the detailed analysis of its reiationship to ecological zone, vegetation type and season. Conclusions thus made would help to upgrade the methodology as an effective tool for early-warning desertification in the northern Shaanxi Province where a drought is a recurring threat. This methodology includes the integration of NDVI with other socio-economic and bio-physical indicators in GIS, the complementation of desert area data with satellite data, and the analysis of the relationship between NDVI and specific climatic zones, for each season and vegetation type.

  12. Effect of Temporal Resolution of NDVI on Potential Evapotranspiration Estimation and Hydrological Model Performance

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Normalized difference vegetation index (NDVI) data, obtained from remote sensing information, are essential in the Shuttleworth-Wallace(S-W) model for estimation of evapotranspiration. In order to study the effect of temporal resolution of NDVI on potential evapotranspiration (PET) estimation and hydrological model performance,monthly and 10-day NDVI data set were used to estimate potential evapotranspiration from January 1985 to December 1987 in Huangnizhuang catchment, Anhui Province, China. The differences of the two calculation results were analyzed and used to drive the block-wise use of the TOPMODEL with the Muskingum-Cunge routing (BTOPMC) model to test the effect on model performance. The results show that both annual and monthly PETs estimated by 10-day NDVI are lower than those estimated by monthly NDVI. Annual PET from the vegetation root zone (PETr) lowers 9.77%-13.64% and monthly PETr lowers 3.28%-17.44% in the whole basin. PET from the vegetation interception (PETi) shows the same trend as PETr. In addition, temporal resolution of NDVI has more effect on PETr in summer and on PETi in winter. The correlation between PETr as estimated by 10-day NDVI and pan measurement (R2= 0.835)is better than that between monthly NDVI and pan measurement (R2 = 0.775). The two potential evapotranspiration estimates were used to drive the BTOPMC model and calibrate parameters, and model performance was found to be similar. In summary, the effect of temporal resolution of NDVI on potential evapotranspiration estimation is significant,but trivial on hydrological model performance.

  13. A Non-Stationary 1981-2012 AVHRR NDVI(sub 3g) Time Series

    Science.gov (United States)

    Pinzon, Jorge E.; Tucker, Compton J.

    2014-01-01

    The NDVI(sub 3g) time series is an improved 8-km normalized difference vegetation index (NDVI) data set produced from Advanced Very High Resolution Radiometer (AVHRR) instruments that extends from 1981 to the present. The AVHRR instruments have flown or are flying on fourteen polar-orbiting meteorological satellites operated by the National Oceanic and Atmospheric Administration (NOAA) and are currently flying on two European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) polar-orbiting meteorological satellites, MetOp-A and MetOp-B. This long AVHRR record is comprised of data from two different sensors: the AVHRR/2 instrument that spans July 1981 to November 2000 and the AVHRR/3 instrument that continues these measurements from November 2000 to the present. The main difficulty in processing AVHRR NDVI data is to properly deal with limitations of the AVHRR instruments. Complicating among-instrument AVHRR inter-calibration of channels one and two is the dual gain introduced in late 2000 on the AVHRR/3 instruments for both these channels. We have processed NDVI data derived from the Sea-Viewing Wide Field-of-view Sensor (SeaWiFS) from 1997 to 2010 to overcome among-instrument AVHRR calibration difficulties. We use Bayesian methods with high quality well-calibrated SeaWiFS NDVI data for deriving AVHRR NDVI calibration parameters. Evaluation of the uncertainties of our resulting NDVI values gives an error of plus or minus 0.005 NDVI units for our 1981 to present data set that is independent of time within our AVHRR NDVI continuum and has resulted in a non-stationary climate data set.

  14. A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series

    Directory of Open Access Journals (Sweden)

    Jorge E. Pinzon

    2014-07-01

    Full Text Available The NDVI3g time series is an improved 8-km normalized difference vegetation index (NDVI data set produced from Advanced Very High Resolution Radiometer (AVHRR instruments that extends from 1981 to the present. The AVHRR instruments have flown or are flying on fourteen polar-orbiting meteorological satellites operated by the National Oceanic and Atmospheric Administration (NOAA and are currently flying on two European Organization for the Exploitation of Meteorological Satellites (EUMETSAT polar-orbiting meteorological satellites, MetOp-A and MetOp-B. This long AVHRR record is comprised of data from two different sensors: the AVHRR/2 instrument that spans July 1981 to November 2000 and the AVHRR/3 instrument that continues these measurements from November 2000 to the present. The main difficulty in processing AVHRR NDVI data is to properly deal with limitations of the AVHRR instruments. Complicating among-instrument AVHRR inter-calibration of channels one and two is the dual gain introduced in late 2000 on the AVHRR/3 instruments for both these channels. We have processed NDVI data derived from the Sea-Viewing Wide Field-of-view Sensor (SeaWiFS from 1997 to 2010 to overcome among-instrument AVHRR calibration difficulties. We use Bayesian methods with high quality well-calibrated SeaWiFS NDVI data for deriving AVHRR NDVI calibration parameters. Evaluation of the uncertainties of our resulting NDVI values gives an error of ± 0.005 NDVI units for our 1981 to present data set that is independent of time within our AVHRR NDVI continuum and has resulted in a non-stationary climate data set.

  15. Evaluating temporal consistency of long-term global NDVI datasets for trend analysis

    DEFF Research Database (Denmark)

    Tian, Feng; Fensholt, Rasmus; Verbesselt, Jan

    2015-01-01

    -sensor NDVI time series by analyzing the co-occurrence between breaks in the NDVI time series and sensor shifts from GIMMS3g (Global Inventory Modeling and Mapping Studies 3rd generation), VIP3 (Vegetation Index and Phenology version 3), LTDR4 (Long Term Data Record version 4) and SPOT-VGT (Système Pour l...... of artifacts are found in the arid region. Although temporal consistency throughout all examined datasets increases after 2000 due to the usage of advanced platforms and sensors, variations in NDVI values from 2010 to 2011 still result in different trends at global and regional scales....

  16. Análise e classificação de séries temporais não estacionárias utilizando métodos não-lineares

    OpenAIRE

    Marcelo Resende Thielo

    2000-01-01

    Neste trabalho fazemos revisão de alguns dos principais métodos para análise não-linear de séries temporais originadas a partir de sistemas de baixa dimensionalidade com dinâmica predominantemente determinística, dando ênfase ao problema de classificação/clusterização nãosupervisionada destas mesmas séries. Várias medidas de dissimilaridade são utilizadas em conjunto com métodos heurísticos baseados em algoritmos estocásticos, para a organização de segmentos de séries temporais não estacionár...

  17. NOAA Climate Data Record (CDR) of Normalized Difference Vegetation Index (NDVI), Version 4

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Advanced Very High Resolution...

  18. Spatial and Temporal Patterns of Global NDVI Trends: Correlations with Climate and Human Factors

    Science.gov (United States)

    LIU, Y.; Li, S.

    2015-12-01

    Abstract: Changes in vegetation activity are driven by multiple natural and anthropogenic factors, which can be reflected by Normalized Difference Vegetation Index (NDVI) derived from satellite. In this paper, NDVI trends from 1982 to 2012 are first estimated by the Theil-Sen median slope method to explore their spatial and temporal patterns. Then the impact of climate variables and human activity on the observed NDVI trends is analyzed. Our results show on average NDVI increased by 0.46×10-3 per year from 1982 to 2012 globally with decadal variations. For most regions of the world, a greening (increasing) - browning(decreasing) - greening (G-B-G) trend is observed over the periods 1982-2004, 1995-2004, and 2005-2012, respectively. A positive partial correlation of NDVI and temperature is observed in the first period but it decreases and occasionally becomes negative in the following periods, especially in the Humid Temperate and Dry Domain Regions. This suggests a weakened effect of temperature on vegetation growth. Precipitation, on the other hand, is found to have a positive impact on the NDVI trend. This effect becomes stronger in the third period of 1995-2004, especially in the Dry Domain Region. Anthropogenic effects and human activities, derived here from the Human Footprint Dataset and the associated Human Influence Index (HII), have varied impacts on the magnitude (absolute value) of the NDVI trends across continents. Significant positive effects are found in Asia, Africa, and Europe, suggesting that intensive human activity could accelerate the change in NDVI and vegetation. A more accurate attribution of vegetation change to specific climatic and anthropogenic factors is instrumental to understand vegetation dynamics and requires further research.

  19. NDVI-based vegetation responses to climate change in an arid area of China

    Science.gov (United States)

    Xu, Yufeng; Yang, Jing; Chen, Yaning

    2016-10-01

    Warming of the climate system is unequivocal, and the change of climate variables will eventually have a great impact on vegetation cover and agricultural practices, especially in the arid area Xinjiang in China, whose agriculture and ecosystems are heavily vulnerable to climate change. In this paper, normalized difference vegetation index (NDVI) was used to study the vegetation growth and its response to climate change in Xinjiang. Firstly, two NDVI datasets (Global Inventory Modeling and Mapping Studies (GIMMS) and Moderate Resolution Imaging Spectroradiometer (MODIS)) were merged through a pixel-wise regression analysis to obtain a long time series of NDVI data, and then, relationships between yearly NDVI and yearly climate variables, and monthly NDVI and monthly climate variables were extensively investigated for grassland and cropland in northern and southern Xinjiang, respectively. Results show the following: (1) there was an increasing trend in NDVI for both grassland and cropland in both northern and southern Xinjiang over the past decades and trends were significant except that for grassland in northern Xinjiang; (2) precipitation and evaporation were more important than temperature for grassland in northern Xinjiang, while precipitation and temperature were more important than evaporation for grassland in southern Xinjiang and cropland in both northern and southern Xinjiang; (3) NDVI was highly correlated with accumulated monthly precipitation instead of monthly precipitation, and there was a lagged effect of precipitation, temperature, and evaporation on NDVI change. However, lagged effects were only significant in specific months. The results could be helpful to agricultural practices; e.g., based on lagged effect of precipitation, irrigation in July is very important for crop growth.

  20. Influence of BRDF on NDVI and biomass estimations of Alaska Arctic tundra

    Science.gov (United States)

    Buchhorn, Marcel; Raynolds, Martha K.; Walker, Donald A.

    2016-12-01

    Satellites provide the only practical source of data for estimating biomass of large and remote areas such as the Alaskan Arctic. Researchers have found that the normalized difference vegetation index (NDVI) correlates well with biomass sampled on the ground. However, errors in NDVI and biomass estimates due to bidirectional reflectance distribution function (BRDF) effects are not well reported in the literature. Sun-sensor-object geometries and sensor band-width affect the BRDF, and formulas relating NDVI to ground-sampled biomass vary between projects. We examined the effects of these different variables on five studies that estimated above-ground tundra biomass of two common arctic vegetation types that dominate the Alaska tundra, moist acidic tussock tundra (MAT) and moist non-acidic tundra (MNT). We found that biomass estimates were up to 33% (excluding extremes) more sensitive than NDVI to BRDF effects. Variation between the sensors resulted in differences in NDVI of under 3% over all viewing geometries, and wider bands were more stable in their biomass estimates than narrow bands. MAT was more sensitive than MNT to BRDF effects due to irregularities in surface reflectance created by the tussocks. Finally, we found that studies that sampled only a narrow range of biomass and NDVI produced equations that were more difficult to correct for BRDF effects.

  1. Variability of African Farming Systems from Phenological Analysis of NDVI Time Series

    Science.gov (United States)

    Vrieling, Anton; deBeurs, K. M.; Brown, Molly E.

    2011-01-01

    Food security exists when people have access to sufficient, safe and nutritious food at all times to meet their dietary needs. The natural resource base is one of the many factors affecting food security. Its variability and decline creates problems for local food production. In this study we characterize for sub-Saharan Africa vegetation phenology and assess variability and trends of phenological indicators based on NDVI time series from 1982 to 2006. We focus on cumulated NDVI over the season (cumNDVI) which is a proxy for net primary productivity. Results are aggregated at the level of major farming systems, while determining also spatial variability within farming systems. High temporal variability of cumNDVI occurs in semiarid and subhumid regions. The results show a large area of positive cumNDVI trends between Senegal and South Sudan. These correspond to positive CRU rainfall trends found and relate to recovery after the 1980's droughts. We find significant negative cumNDVI trends near the south-coast of West Africa (Guinea coast) and in Tanzania. For each farming system, causes of change and variability are discussed based on available literature (Appendix A). Although food security comprises more than the local natural resource base, our results can perform an input for food security analysis by identifying zones of high variability or downward trends. Farming systems are found to be a useful level of analysis. Diversity and trends found within farming system boundaries underline that farming systems are dynamic.

  2. Neural Networks as a Tool for Constructing Continuous NDVI Time Series from AVHRR and MODIS

    Science.gov (United States)

    Brown, Molly E.; Lary, David J.; Vrieling, Anton; Stathakis, Demetris; Mussa, Hamse

    2008-01-01

    The long term Advanced Very High Resolution Radiometer-Normalized Difference Vegetation Index (AVHRR-NDVI) record provides a critical historical perspective on vegetation dynamics necessary for global change research. Despite the proliferation of new sources of global, moderate resolution vegetation datasets, the remote sensing community is still struggling to create datasets derived from multiple sensors that allow the simultaneous use of spectral vegetation for time series analysis. To overcome the non-stationary aspect of NDVI, we use an artificial neural network (ANN) to map the NDVI indices from AVHRR to those from MODIS using atmospheric, surface type and sensor-specific inputs to account for the differences between the sensors. The NDVI dynamics and range of MODIS NDVI data at one degree is matched and extended through the AVHRR record. Four years of overlap between the two sensors is used to train a neural network to remove atmospheric and sensor specific effects on the AVHRR NDVI. In this paper, we present the resulting continuous dataset, its relationship to MODIS data, and a validation of the product.

  3. Intercomparison of Seven NDVI Products over the United States and Mexico

    Directory of Open Access Journals (Sweden)

    William Scheftic

    2014-01-01

    Full Text Available Satellites have provided large-scale monitoring of vegetation for over three decades, and several satellite-based Normalized Difference Vegetation Index (NDVI datasets have been produced. Here we intercompare four long-term NDVI datasets based largely on the AVHRR sensor (NDVIg, NDVI3g, STAR, VIP and three datasets based on newer sensors (SPOT, Terra, Aqua and evaluate the effectiveness of homogenizing the datasets using the green vegetation fraction (GVF and the impact it has on phenology trends. Results show that all NDVI datasets are highly correlated with each other. However, there are significant differences in the regression slopes that vary spatially and temporally. There is a general trend towards higher maximum annual NDVI over much of the temperate forests of the US and a longer greening period due mostly to a delayed end of the season. These trends are less well-defined over rainfall dependent ecosystems in Mexico and the southwest US Compared with the NDVI datasets, the derived GVF datasets show more one-to-one relationships, have reduced interannual variation, preserve their relationships better over the entire time period and are characterized by weaker trends. Finally, weak agreement between the trends in the datasets stresses the importance of using multiple datasets to evaluate changes in vegetation and its phenology.

  4. Can temporal and spatial NDVI predict regional bird-species richness?

    Directory of Open Access Journals (Sweden)

    Sebastián Nieto

    2015-01-01

    Full Text Available Understanding the distribution of the species and its controls over biogeographic scales is still a major challenge in ecology. National Park Networks provide an opportunity to assess the relationship between ecosystem functioning and biodiversity in areas with low human impacts. We tested the productivity–biodiversity hypothesis which states that the number of species increases with the available energy, and the ​variability–biodiversity hypothesis which states that the number of species increases with the diversity of habitats. The available energy and habitat heterogeneity estimated by the normalized difference vegetation index (NDVI was shown as a good predictor of bird-species richness for a diverse set of biomes in previously published studies. However, there is not a universal relationship between NDVI and bird-species richness. Here we tested if the NDVI can predict bird species richness in areas with low human impact in Argentina. Using a dataset from the National Park Network of Argentina we found that the best predictor of bird species richness was the minimum value of NDVI per year which explained 75% of total variability. The inclusion of the spatial heterogeneity of NDVI improved the explanation power to 80%. Minimum NDVI was highly correlated with precipitation and winter temperature. Our analysis provides a tool for assessing bird-species richness at scales on which land-use planning practitioners make their decisions for Southern South America.

  5. Detecting leaf pulvinar movements on NDVI time series of desert trees: a new approach for water stress detection.

    Directory of Open Access Journals (Sweden)

    Roberto O Chávez

    Full Text Available Heliotropic leaf movement or leaf 'solar tracking' occurs for a wide variety of plants, including many desert species and some crops. This has an important effect on the canopy spectral reflectance as measured from satellites. For this reason, monitoring systems based on spectral vegetation indices, such as the normalized difference vegetation index (NDVI, should account for heliotropic movements when evaluating the health condition of such species. In the hyper-arid Atacama Desert, Northern Chile, we studied seasonal and diurnal variations of MODIS and Landsat NDVI time series of plantation stands of the endemic species Prosopis tamarugo Phil., subject to different levels of groundwater depletion. As solar irradiation increased during the day and also during the summer, the paraheliotropic leaves of Tamarugo moved to an erectophile position (parallel to the sun rays making the NDVI signal to drop. This way, Tamarugo stands with no water stress showed a positive NDVI difference between morning and midday (ΔNDVI mo-mi and between winter and summer (ΔNDVI W-S. In this paper, we showed that the ΔNDVI mo-mi of Tamarugo stands can be detected using MODIS Terra and Aqua images, and the ΔNDVI W-S using Landsat or MODIS Terra images. Because pulvinar movement is triggered by changes in cell turgor, the effects of water stress caused by groundwater depletion can be assessed and monitored using ΔNDVI mo-mi and ΔNDVI W-S. For an 11-year time series without rainfall events, Landsat ΔNDVI W-S of Tamarugo stands showed a positive linear relationship with cumulative groundwater depletion. We conclude that both ΔNDVI mo-mi and ΔNDVI W-S have potential to detect early water stress of paraheliotropic vegetation.

  6. High resolution mapping of Normalized Difference Vegetation Indices (NDVI) of biological soil crusts

    Science.gov (United States)

    Fischer, T.; Veste, M.; Eisele, A.; Bens, O.; Spyra, W.; Hüttl, R. F.

    2012-04-01

    Normalized Difference Vegetation Indices (NDVI) are typically determined using satellite or airborne remote sensing, or field portable spectrometers, which give an averaged signal on centimetre to meter scale plots. Biological soil crust (BSC) patches may have smaller sizes, and ecophysiological, hydrological as well as pedological processes may be heterogeneously distributed within this level of resolution. A ground-based NDVI imaging procedure using low-cost equipment (Olympus Camedia 5000z digital camera equipped with a Hoya R72 infrared filter) was developed in this study to fill this gap at the level of field research, where carrying costly and bulky equipment to remote locations is often the limiting factor for data collection. A commercially available colour rendition chart (GretagMacbeth ColorChecker®) with known red (600-700 nm) and NIR (800-900 nm) reflectances was placed into each scene and used for calibration purposes on a per-image basis. Generation of NDVI images involved (i) determination of red and NIR reflectances from the pixel values of the red and NIR channels, respectively, and (ii) calculation and imaging of the NDVI, where NDVI values of -1 to +1 were mapped to grey values of 0 to 255. The correlation between NDVI values retrieved from these images and NDVI values determined using conventional field spectrometry (ASD FieldSpec 3 portable spectroradiometer) was close (r2 =0.91), the 95% confidence interval amounted to 0.10 NDVI units. The pixel resolution was 0.8 mm in the field and 0.2 mm in the laboratory, but can still be improved significantly with closer distance to the crust or with higher camera resolution. Geostatistical analysis revealed that both spatial variability as well as size of individual objects characterized by the NDVI increased with crust development. The latter never exceeded 4 mm in the investigated crusts, which points to the necessity of high resolution imaging for linking remote sensing with ecophysiology

  7. Mapping land cover gradients through analysis of hyper-temporal NDVI imagery

    Science.gov (United States)

    Ali, Amjad; de Bie, C. A. J. M.; Skidmore, A. K.; Scarrott, R. G.; Hamad, Amina; Venus, V.; Lymberakis, Petros

    2013-08-01

    The green cover of the earth exhibits various spatial gradients that represent gradual changes in space of vegetation density and/or in species composition. To date, land cover mapping methods differentiate at best, mapping units with different cover densities and/or species compositions, but typically fail to express such differences as gradients. Present interpretation techniques still make insufficient use of freely available spatial-temporal Earth Observation (EO) data that allow detection of existing land cover gradients. This study explores the use of hyper-temporal NDVI imagery to detect and delineate land cover gradients analyzing the temporal behavior of NDVI values. MODIS-Terra MVC-images (250 m, 16-day) of Crete, Greece, from February 2000 to July 2009 are used. The analysis approach uses an ISODATA unsupervised classification in combination with a Hierarchical Clustering Analysis (HCA). Clustering of class-specific temporal NDVI profiles through HCA resulted in the identification of gradients in landcover vegetation growth patterns. The detected gradients were arranged in a relational diagram, and mapped. Three groups of NDVI-classes were evaluated by correlating their class-specific annual average NDVI values with the field data (tree, shrub, grass, bare soil, stone, litter fraction covers). Multiple regression analysis showed that within each NDVI group, the fraction cover data were linearly related with the NDVI data, while NDVI groups were significantly different with respect to tree cover (adj. R2 = 0.96), shrub cover (adj. R2 = 0.83), grass cover (adj. R2 = 0.71), bare soil (adj. R2 = 0.88), stone cover (adj. R2 = 0.83) and litter cover (adj. R2 = 0.69) fractions. Similarly, the mean Sorenson dissimilarity values were found high and significant at confidence interval of 95% in all pairs of three NDVI groups. The study demonstrates that hyper-temporal NDVI imagery can successfully detect and map land cover gradients. The results may improve land

  8. Investigação dos perfís temporais de alta resolução de explosões solares tipo-III decimétricas

    Science.gov (United States)

    Cecatto, J. R.; Fernandes, F. C. R.; Sawant, H. S.; Madsen, F. R. H.

    2003-08-01

    Explosões solares tipo-III indicam a presença de feixes de elétrons acelerados durante "flares" solares. Sua investigação fornece informações tanto sobre os processos de aceleração de partículas quanto das características do agente causador e do local de aceleração. Explosões tipo-III decimétricas são geradas por feixes de elétrons viajando através de arcos magnéticos densos da baixa coroa solar. Os perfís temporais destes fenômenos, quando tomados com alta resolução, informam sobre os mecanismos de aceleração de partículas do feixe e o meio de transporte da energia liberada a partir da região de aceleração. Usando o Brazilian Solar Spectroscope (BSS), em operação no INPE, foram registradas dezenas de explosões tipo-III decimétricas, dentro da faixa de 2050-2250 MHz com alta resolução temporal (20 ms), em 13 de setembro de 2001, entre 13:00 e 16:10 UT. Foram selecionadas 10 explosões isoladas para uma investigação estatística detalhada de seus perfís temporais, em todos os cerca de 50 canais de freqüência. Os resultados indicam que cerca de 70% dos perfís temporais são complexos tanto durante a subida quanto descida. Os 30% restantes indicam que os perfís da subida podem ser bem representados, na maioria dos casos, por um processo não-linear e uma parcela significativa por processos lineares. Os perfís temporais da descida são dominados por um decaimento não-linear. Neste trabalho, será efetuada uma análise dos perfís temporais, tanto durante a subida quanto descida do fluxo, para as explosões selecionadas, em termos dos prováveis mecanismos de aceleração e relaxamento. 2

  9. Séries temporais e redes neurais: uma análise comparativa de técnicas na previsão de vendas do varejo brasileiro

    Directory of Open Access Journals (Sweden)

    Claudio Felisoni de Angelo

    2011-01-01

    Full Text Available Uma importante atividade econômica em qualquer sociedade diz respeito à comercialização de bens. O varejo consiste exatamente no vínculo que se estabelece entre a indústria e o consumidor final. Prever as vendas é essencial para que se possa gerenciar de modo adequado os processos produtivos e de comercialização. No varejo esse aspecto reveste-se de importância ainda maior. Vender significa harmonizar os interesses dos que produzem com aqueles que compram. Portanto, o presente trabalho tem por propósito examinar comparativamente a aplicação de dois métodos de previsão de vendas de varejo no mercado brasileiro: as séries temporais e as redes neurais. A escolha dessas duas técnicas como objeto dessa comparação foi suscitada pela importância que essas duas concepções têm assumido na literatura. Embora a utilização de redes neurais tenha proporcionado a menor soma dos quadrados dos resíduos, pode-se dizer que os resultados empregando modelos do tipo ARIMA se mostraram praticamente equivalentes.

  10. Tratamento dos sufixos modo-temporais na depreensão automática da morfologia dos verbos do português

    Directory of Open Access Journals (Sweden)

    Vera Vasilévski

    2012-01-01

    Full Text Available Este artigo apresenta um analisador morfológico automático de verbos do português, com destaque para seu desempenho no processamento das regras que regem esse sistema verbal e no tratamento das ambigüidades geradas. Nesta etapa, trabalha-se com as ambigüidades decorrentes da alomorfia dos sufixos modo-temporais e da possibilidade de esses morfemas serem zero (Ø em alguns modos e tempos, nas três conjugações do português. Para esclarecer o trabalho feito com o analisador, traz um resumo das regras morfológicas do sistema de verbos do português. Obteve-se êxito no tratamento de muitas das ambigüidades que o programa registrou, as quais eram esperadas, uma vez que coincidem com as ambigüidades do sistema de verbos da língua portuguesa. A resolução da maioria delas fez-se com base em regras computacionais (estruturas de seleção que consideram o contexto do enunciado. Conclui que a resolução de outras ambiguidades relacionadas a modo e tempo verbal somente será possível ao se levar em conta também os morfemas número-pessoais, que são objeto de outro trabalho.

  11. Comparison of Bioclimatic, NDVI and Elevation variables in assessing extent of Commiphora wightii (Arnt.) Bhand.

    Science.gov (United States)

    Kulloli, R. N.; Kumar, S.

    2014-11-01

    Commiphora wightii (Arnt.) Bhand., is an important medicinal plant of Indian Medicine System (IMS) since ancient time. It is used in different ailments of obesity, arthritis, rheumatism and high cholesterol. Due to overexploitation its natural populations declined to large extent. IUCN has put it under Data Deficient (DD) category due to lack of data on its extent of occurrence in nature. Hence, the study was carried out using MaxEnt distribution modelling algorithm to estimate its geographic distribution and to identify potential habitats for its reintroduction. For modelling employed 68 presence locality data, 19 bioclimatic variables, Normalize Difference Vegetation Index (NDVI) and elevation data. These were tested for multicollinearity and those variables having r-value less than 0.8 were selected for further analysis, which was carried out in two ways i) Bioclimatic variables and elevation; ii) NDVI and elevation. Area Under the Curve (AUC) in both analysis was above 0.9 for all variables, indicating very high accuracy of prediction. Variables governing distribution of C. wightii in the analysis using bioclimatic and elevation data set are precipitation seasonality (56.6 %), annual precipitation (16.4 %) and elevation (14.7 %). Extent of occurrence of C.wightii predicted by model closely matched in the districts of Jaisalmer and Barmer. In the second analysis elevation (48.3 %), NDVI of June (11.1 %) and August (11.2 %) contributed for NDVI and Elevation data set. NDVI of June corresponds to its leafing phase while NDVI of August to flowering phase. Area of its occurrence predicted for NDVI and elevation data set are Bikaner, Churu, Jhunjhunun some part of Jodhpur which are completely sandy, where C. wightii is totally absent. Extent of occurrence was also validated in ground survey. Potential areas for its reintroduction were identified as Jaisalmer and Barmer districts in Indian arid zone.

  12. Combined analysis of land cover change and NDVI trends in the Northern Eurasian grain belt

    Institute of Scientific and Technical Information of China (English)

    Christopher K.WRIGHT; Kirsten M.de BEURS; Geoffrey M.HENEBRY

    2012-01-01

    We present an approach to regional environmental monitoring in the Northern Eurasian grain belt combining time series analysis of MODIS normalized difference vegetation index (NDVI) data over the period 2001-2008 and land cover change (LCC) analysis of the 2001and 2008 MODIS Global Land Cover product (MCD12Q1).NDVI trends were overwhelmingly negative across the grain belt with statistically significant (p ≤ 0.05)positive trends covering only 1% of the land surface.LCC was dominated by transitions between three classes;cropland,grassland,and a mixed cropland/natural vegetation mosaic.Combining our analyses of NDVI trends and LCC,we found a pattern of agricultural abandonment (cropland to grassland) in the southern range of the grain belt coinciding with statistically significant (p≤0.05)negative NDVI trends and likely driven by regional drought.In the northern range of the grain belt we found an opposite tendency toward agricultural intensification; in this case,represented by LCC from cropland mosaic to pure cropland,and also associated with statistically significant (p≤0.05) negative NDVI trends.Relatively small clusters of statistically significant (p ≤ 0.05) positive NDVI trends corresponding with both localized land abandonment and localized agricultural intensification show that land use decision making is not uniform across the region.Land surface change in the Northern Eurasian grain belt is part of a larger pattern of land cover land use change (LCLUC) in Eastern Europe,Russia,and former territories of the Soviet Union following realignment of socialist land tenure and agricultural markets.Here,we show that a combined analysis of LCC and NDVI trends provides a more complete picture of the complexities of LCLUC in the Northern Eurasian grain belt,involving both broader climatic forcing,and narrower anthropogenic impacts,than might be obtained from either analysis alone.

  13. NDVI and Land Cover Change Analysis Using MODIS data in Tunisia

    Science.gov (United States)

    Kim, D.

    2014-12-01

    Desertification has been one of the global problems in respect of society, economy, and environment. However its cause and effect is diverse and complex, and yet not clearly identified. In order to understand and control desertification, monitoring using satellite images is a major and fundamental part. This study therefore aims to conduct time series analyses for Normalized Difference Vegetation Index (NDVI) and land cover change, and to analyse their area distribution between two different years targeted in Tunisia. NDVI and land cover map are obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS), which includes 17 land cover types. First, the time series analysis was conducted every three years from 2002 to 2011. Second, we compared area distribution of NDVI and land cover between 2002 and 2011. We defined that there was 'severe' desertification if NDVI was under 0.24 and classified the severe area within the two images respectively. The extracted area undergone severe desertification in 2011 was then overlaid on the NDVI map of 2002 to see the change. Barren or sparsely vegetated area of 2011 was also extracted first and overlaid on the land cover map of 2002 to observe how the land cover type had been changed from the past. It is estimated that desertification has been expanded in Tunisia as low NDVI value increases and barren or sparsely vegetated area expands while water or forest area decreases. In addition, the NDVI value of 2002 was higher and there was a little distribution of barren and sparsely vegetated area compared to 2011. Based on the result, this study is useful to realize the current state of affairs and the necessity of land planning in Tunisia. The result of the study is expected to be used to cope with desertification and land degradation, and further provides base data for establishing policies. This study was carried out with the support of 'Forest Science & Technology Projects (Project No. S211214L030320)' provided by

  14. Combined analysis of land cover change and NDVI trends in the Northern Eurasian grain belt

    Science.gov (United States)

    Wright, Christopher K.; de Beurs, Kirsten M.; Henebry, Geoffrey M.

    2012-06-01

    We present an approach to regional environmental monitoring in the Northern Eurasian grain belt combining time series analysis of MODIS normalized difference vegetation index (NDVI) data over the period 2001-2008 and land cover change (LCC) analysis of the 2001 and 2008 MODIS Global Land Cover product (MCD12Q1). NDVI trends were overwhelmingly negative across the grain belt with statistically significant ( p⩽0.05) positive trends covering only 1% of the land surface. LCC was dominated by transitions between three classes; cropland, grassland, and a mixed cropland/natural vegetation mosaic. Combining our analyses of NDVI trends and LCC, we found a pattern of agricultural abandonment (cropland to grassland) in the southern range of the grain belt coinciding with statistically significant ( p⩽0.05) negative NDVI trends and likely driven by regional drought. In the northern range of the grain belt we found an opposite tendency toward agricultural intensification; in this case, represented by LCC from cropland mosaic to pure cropland, and also associated with statistically significant ( p⩽0.05) negative NDVI trends. Relatively small clusters of statistically significant ( p⩽0.05) positive NDVI trends corresponding with both localized land abandonment and localized agricultural intensification show that land use decision making is not uniform across the region. Land surface change in the Northern Eurasian grain belt is part of a larger pattern of land cover land use change (LCLUC) in Eastern Europe, Russia, and former territories of the Soviet Union following realignment of socialist land tenure and agricultural markets. Here, we show that a combined analysis of LCC and NDVI trends provides a more complete picture of the complexities of LCLUC in the Northern Eurasian grain belt, involving both broader climatic forcing, and narrower anthropogenic impacts, than might be obtained from either analysis alone.

  15. Evaluation of ISLSCP Initiative II FASIR and GIMMS NDVI Products and Implications for Carbon Cycle Science

    Science.gov (United States)

    Hall, F. G.; Masek, J. G.; Collatz, G. J.

    2006-12-01

    Integration of NDVI data into ecological and biogeochemical modeling has placed more stringent requirements on the accuracy and stability of the measurement. We compare two recent AVHRR NDVI datasets included as part of ISLSCP Initiative II: (1) The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) monthly time series and (2) The Global Inventory Modeling and Mapping Studies (GIMMS) monthly time series. Although both started with nearly identical composited AVHRR GAC datasets, each dataset has been processed differently to reduce sensor, atmospheric, and illumination effects that vary over time. We find that the resulting absolute NDVI data records differ substantially and consistently between the two records for large parts of the globe. These differences also propagate into the NDVI anomaly record (e.g. deviations from monthly or annual means) particularly in the 1984-1985, 1994 periods. To assess the effect of these differences on predictions of land surface CO2 fluxes, the fraction of absorbed photosynthetically active radiation (FPAR) was calculated from each record, and used to drive a biogeochemical model (CASA). On a global basis, calculated net ecosystem exchange shows large variability inherited from the NDVI records. However, these variations do not match global CO2 fluxes derived from atmospheric inversion of CO2 concentration measurements. We conclude that other processes (burning, physiologic response to stress) are likely responsible for major anomalies in the observed global land net carbon fluxes to the atmosphere during the period 1982-1998.

  16. A New Neighboring Pixels Method for Reducing Aerosol Effects on the NDVI Images

    Directory of Open Access Journals (Sweden)

    Dandan Wang

    2016-06-01

    Full Text Available A new algorithm was developed in this research to minimize aerosol effects on the normalized difference vegetation index (NDVI. Simulation results show that in red-NIR reflectance space, variations in red and NIR channels to aerosol optical depth (AOD follow a specific pattern. Based on this rational, the apparent reflectance in these two bands of neighboring pixels were used to reduce aerosol effects on NDVI values of the central pixel. We call this method the neighboring pixels (NP algorithm. Validation was performed over vegetated regions in the border area between China and Russia using Landsat 8 Operational Land Imager (OLI imagery. Results reveal good agreement between the aerosol corrected NDVI using our algorithm and that derived from the Landsat 8 surface reflectance products. The accuracy is related to the gradient of NDVI variation. This algorithm can achieve high accuracy in homogeneous forest or cropland with the root mean square error (RMSE being equal to 0.046 and 0.049, respectively. This algorithm can also be applied to atmospheric correction and does not require any information about atmospheric conditions. The use of the moving window analysis technique reduces errors caused by the spatial heterogeneity of aerosols. Detections of regions with homogeneous NDVI are the primary sources of biases. This new method is operational and can prove useful at different aerosol concentration levels. In the future, this approach may also be used to examine other indexes composed of bands attenuated by noises in remote sensing.

  17. Markov Chain Modelling for Short-Term NDVI Time Series Forecasting

    Directory of Open Access Journals (Sweden)

    Stepčenko Artūrs

    2016-12-01

    Full Text Available In this paper, the NDVI time series forecasting model has been developed based on the use of discrete time, continuous state Markov chain of suitable order. The normalised difference vegetation index (NDVI is an indicator that describes the amount of chlorophyll (the green mass and shows the relative density and health of vegetation; therefore, it is an important variable for vegetation forecasting. A Markov chain is a stochastic process that consists of a state space. This stochastic process undergoes transitions from one state to another in the state space with some probabilities. A Markov chain forecast model is flexible in accommodating various forecast assumptions and structures. The present paper discusses the considerations and techniques in building a Markov chain forecast model at each step. Continuous state Markov chain model is analytically described. Finally, the application of the proposed Markov chain model is illustrated with reference to a set of NDVI time series data.

  18. Temporal Stability of the NDVI-LAI Relationship in a Napa Valley Vineyard

    Science.gov (United States)

    Johnson, L. F.

    2003-01-01

    Remotely sensed normalized difference vegetation index (NDVI) values, derived from high-resolution satellite images, were compared with ground measurements of vineyard leaf area index (LAI) periodically during the 2001 growing season. The two variables were strongly related at six ground calibration sites on each of four occasions (r squared = 0.91 to 0.98). Linear regression equations relating the two variables did not significantly differ by observation date, and a single equation accounted for 92 percent of the variance in the combined dataset. Temporal stability of the relationship opens the possibility of transforming NDVI maps to LAI in the absence of repeated ground calibration fieldwork. In order to take advantage of this circumstance, however, steps should be taken to assure temporal consistency in spectral data values comprising the NDVI.

  19. Monitoring drought in the Monglian Plateau based on NDVI_Ts general space, 2000-2010

    Science.gov (United States)

    Cao, Xiaoming; Wang, Juanle; Gao, Zhiqiang; Ning, Jicai; Shi, Runhe; Gao, Wei

    2013-09-01

    This paper presents a new drought assessment method by modifying the NDVI-Ts space, which named NDVI-Ts general space. Based on this method, the general dry side and wet side equation were established for the period of 2000 and 2010 in the Mongolian Plateau. The results showed that: 1) the NDVI-Ts general space was more stable for monitoring drought than that for the single time Remote Sensing data; 2) Drought mainly distributed in the Mongolian Plateau, In Mongolian Plateau, there was about 75% area of drought; 3) Drought changed in the period of 2000 and 2010. In the year of 2003, the area of severe drought is the smallest. In 2001, the drought is the most serious. The results showed that, the distribution of drought was different in different year. There may be close correlation between the occurrence of drought and precipitation.

  20. Trends in normalized difference vegetation index (NDVI) associated with urban development in northern West Siberia

    Science.gov (United States)

    Esau, Igor; Miles, Victoria V.; Davy, Richard; Miles, Martin W.; Kurchatova, Anna

    2016-08-01

    Exploration and exploitation of oil and gas reserves of northern West Siberia has promoted rapid industrialization and urban development in the region. This development leaves significant footprints on the sensitive northern environment, which is already stressed by the global warming. This study reports the region-wide changes in the vegetation cover as well as the corresponding changes in and around 28 selected urbanized areas. The study utilizes the normalized difference vegetation index (NDVI) from high-resolution (250 m) MODIS data acquired for summer months (June through August) over 15 years (2000-2014). The results reveal the increase of NDVI (or "greening") over the northern (tundra and tundra-forest) part of the region. Simultaneously, the southern, forested part shows the widespread decrease of NDVI (or "browning"). These region-wide patterns are, however, highly fragmented. The statistically significant NDVI trends occupy only a small fraction of the region. Urbanization destroys the vegetation cover within the developed areas and at about 5-10 km distance around them. The studied urbanized areas have the NDVI values by 15 to 45 % lower than the corresponding areas at 20-40 km distance. The largest NDVI reduction is typical for the newly developed areas, whereas the older areas show recovery of the vegetation cover. The study reveals a robust indication of the accelerated greening near the older urban areas. Many Siberian cities become greener even against the wider browning trends at their background. Literature discussion suggests that the observed urban greening could be associated not only with special tending of the within-city green areas but also with the urban heat islands and succession of more productive shrub and tree species growing on warmer sandy soils.

  1. Multifractal Downscaling of Rainfall Using Normalized Difference Vegetation Index (NDVI) in the Andes Plateau

    Science.gov (United States)

    Posadas, A. N.; Carbajal, M.; Quiroz, R.

    2017-01-01

    In this paper, a multifractal downscaling technique is applied to adequately transformed and lag corrected normalized difference vegetation index (NDVI) in order to obtain daily estimates of rainfall in an area of the Peruvian Andean high plateau. This downscaling procedure is temporal in nature since the original NDVI information is provided at an irregular temporal sampling period between 8 and 11 days, and the desired final scale is 1 day. The spatial resolution of approximately 1 km remains the same throughout the downscaling process. The results were validated against on-site measurements of meteorological stations distributed in the area under study. PMID:28125607

  2. Response of vegetation NDVI to climatic extremes in the arid region of Central Asia: a case study in Xinjiang, China

    Science.gov (United States)

    Yao, Junqiang; Chen, Yaning; Zhao, Yong; Mao, Weiyi; Xu, Xinbing; Liu, Yang; Yang, Qing

    2017-02-01

    Observed data showed the climatic transition from warm-dry to warm-wet in Xinjiang during the past 30 years and will probably affect vegetation dynamics. Here, we analyze the interannual change of vegetation index based on the satellite-derived normalized difference vegetation index (NDVI) with temperature and precipitation extreme over the Xinjiang, using the 8-km NDVI third-generation (NDVI3g) from the Global Inventory Modelling and Mapping Studies (GIMMS) from 1982 to 2010. Few previous studies analyzed the link between climate extremes and vegetation response. From the satellite-based results, annual NDVI significantly increased in the first two decades (1981-1998) and then decreased after 1998. We show that the NDVI decrease over the past decade may conjointly be triggered by the increases of temperature and precipitation extremes. The correlation analyses demonstrated that the trends of NDVI was close to the trend of extreme precipitation; that is, consecutive dry days (CDD) and torrential rainfall days (R24) positively correlated with NDVI during 1998-2010. For the temperature extreme, while the decreases of NDVI correlate positively with warmer mean minimum temperature (Tnav), it correlates negatively with the number of warmest night days (Rwn). The results suggest that the climatic extremes have possible negative effects on the ecosystem.

  3. A ground-validated NDVI dataset for monitoring vegetation dynamics and mapping phenology in Fennoscandia and the Kola peninsula

    NARCIS (Netherlands)

    Beck, P.S.A.; Jonsson, P.; Hogda, K.A.; Karlsen, S.R.; Skidmore, A.K.; Eklundh, L.

    2007-01-01

    An NDVI dataset covering Fennoscandia and the Kola peninsula was created for vegetation and climate studies, using Moderate Resolution Imaging Spectroradiometer 16-day maximum value composite data from 2000 to 2005. To create the dataset, (1) the influence of the polar night and snow on the NDVI val

  4. Deriving phenological metrics from NDVI through an open source tool developed in QGIS

    Science.gov (United States)

    Duarte, Lia; Teodoro, A. C.; Gonçalves, Hernãni

    2014-10-01

    Vegetation indices have been commonly used over the past 30 years for studying vegetation characteristics using images collected by remote sensing satellites. One of the most commonly used is the Normalized Difference Vegetation Index (NDVI). The various stages that green vegetation undergoes during a complete growing season can be summarized through time-series analysis of NDVI data. The analysis of such time-series allow for extracting key phenological variables or metrics of a particular season. These characteristics may not necessarily correspond directly to conventional, ground-based phenological events, but do provide indications of ecosystem dynamics. A complete list of the phenological metrics that can be extracted from smoothed, time-series NDVI data is available in the USGS online resources (http://phenology.cr.usgs.gov/methods_deriving.php).This work aims to develop an open source application to automatically extract these phenological metrics from a set of satellite input data. The main advantage of QGIS for this specific application relies on the easiness and quickness in developing new plug-ins, using Python language, based on the experience of the research group in other related works. QGIS has its own application programming interface (API) with functionalities and programs to develop new features. The toolbar developed for this application was implemented using the plug-in NDVIToolbar.py. The user introduces the raster files as input and obtains a plot and a report with the metrics. The report includes the following eight metrics: SOST (Start Of Season - Time) corresponding to the day of the year identified as having a consistent upward trend in the NDVI time series; SOSN (Start Of Season - NDVI) corresponding to the NDVI value associated with SOST; EOST (End of Season - Time) which corresponds to the day of year identified at the end of a consistent downward trend in the NDVI time series; EOSN (End of Season - NDVI) corresponding to the NDVI value

  5. VisionDraughts - um sistema de aprendizagem de jogos de damas baseado em redes neurais, diferenças temporais, algoritmos eficientes de busca em árvores e informações perfeitas contidas em bases de dados

    OpenAIRE

    2008-01-01

    O objetivo deste trabalho é propor um sistema de aprendizagem de damas, Vision-Draughts, baseado nos trabalhos de Neto e Julia (LS-Draughts) e de Mark Lynch (NeuroDraughts). O NeuroDraughts é um bom jogador automático de damas que utiliza a técnica de aprendizagem por diferenças temporais para ajustar os pesos de uma rede neural artificial multi-camadas cujo papel é estimar o quanto um estado do tabuleiro do jogo, representado em sua camada de entrada através do mapeamento NET-FEA...

  6. Estimating the effect of urease inhibitor on rice yield based on NDVI at key growth stages

    Directory of Open Access Journals (Sweden)

    Kailou LIU,Yazhen LI,Huiwen HU

    2014-06-01

    Full Text Available The effect of the urease inhibitor, N-(n-butyl thiophosphoric triamide (NBPT at a range of application rates on rice production was examined in a field experiment at Jinxian County, Jiangxi Province, China. The normalized difference vegetation index (NDVI was measured at key growth stages in both early and late rice. The results showed that the grain yield increased significantly when urea was applied with NBPT, with the highest yield observed at 1.00% NBPT (wt/wt. NDVI differed with the growth stage of rice; it remained steady from the heading to the filling stage. Rice yield could be predicted from the NDVI taken at key rice growing stages, with R2 ranging from 0.34 to 0.69 in early rice and 0.49 to 0.70 in late rice. The validation test showed that RMSE (t·hm-2 values were 0.77 and 0.87 in early and late rice, respectively. Therefore, it was feasible to estimate rice yield for different amounts of urease inhibitor using NDVI.

  7. Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data

    Directory of Open Access Journals (Sweden)

    Xavier Alexandre Cândido

    2004-01-01

    Full Text Available Leaf area index (LAI is an important parameter of the vegetation canopy, and is used, for instance, to estimate evapotranspiration, an important component of the hydrological cycle. This work analyzed the relationship between LAI, measured in field, and NDVI from four dates (derived from Landsat-7/ETM+ data, and with such vegetation index, to generate and analyze LAI maps of the study area for the diverse dates. LAI data were collected monthly in the field with LAI-2000 equipment in stands of sugar cane, pasture, corn, eucalypt, and riparian forest. The relationships between LAI and NDVI were adjusted by a potential model; 57% to 72% of the NDVI variance were explained by the LAI. LAI maps generated by empirical relationships between LAI and NDVI showed reasonable precision (standard error of LAI estimate ranged from 0.42 to 0.87 m² m-2. The mean LAI value of each monthly LAI map was shown to be related to the total precipitation in the three previous months.

  8. Check and modification of GlobeLand30 with MODIS NDVI

    Science.gov (United States)

    Zhang, Weiwei; Liao, Anping; Peng, Shu; Zheng, Xinyan; Li, Ming

    2015-10-01

    MODIS NDVI time-series data could indicate vegetation status in each season and have been widely used for land cover classification and studies in the fields of vegetation and land degradation monitoring. During global land cover mapping project at 30m resolution aiming at developing high quality product, there were mistakes of classification between bareland and vegetation in GlobeLand30 data in regions surrounding deserts because that the dates of some images are not in growing season. In this paper, we proposed a method to check GlobeLand30 data of 2010 in these areas. Max NDVI value of MODIS NDVI time-series data is chosen to represent growing conditions of vegetation. And then vegetation fraction (VF) calculated from the max NDVI value is divided into bareland and vegetation based on the definition of bareland that VF of bareland is lower than 10%. The dimidiated VF maps are employed to check GlobeLand30 with the help of high resolution images and other references. Finally, errors found out by steps above are modified with VF maps and segmentation objects of images at 30m resolution. 149 map sheets of GlobeLand30 were checked and 105 of them were modified. 13409 samples in 10 map sheets totally were selected to assess the effect of the approach. The result showed that the accuracy after modification of GlobeLand30 was higher than that before modification.

  9. Hyper-temporal SPOT-NDVI dataset parameterization captures species distributions

    NARCIS (Netherlands)

    Girma, Atkilt; Bie, de C.A.J.M.; Skidmore, Andrew K.; Venus, Valentijn; Bongers, Frans

    2016-01-01

    Hyper-temporal SPOT NDVI images contain useful information about the environment in which a species occurs, including information such as the beginning, end, peak, and curvature of photosynthetically active vegetation (PAV) greenness signatures. This raises the question: can parameterization of h

  10. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI

    NARCIS (Netherlands)

    Beck, P.S.A.; Atzberger, C.; Hogda, K.A.; Johansen, B.; Skidmore, A.K.

    2006-01-01

    Current models of vegetation dynamics using the normalized vegetation index (NDVI) time series perform poorly for high-latitude environments. This is due partly to specific attributes of these environments, such as short growing season, long periods of darkness in winter, persistence of snow cover,

  11. Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series

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    Clement Atzberger

    2013-12-01

    Full Text Available Time series of normalized difference vegetation index (NDVI are important data sources for environmental monitoring. Continuous efforts are put into their production and updating. The recently released Global Inventory Modeling and Mapping Studies (GIMMS NDVI3g data set is a consistent time series with 1/12° spatial and bi-monthly temporal resolution. It covers the time period from 1981 to 2011. However, it is unclear if vegetation density and phenology derived from GIMMS are comparable to those obtained from Moderate Resolution Imaging Spectroradiometer (MODIS NDVI with 250 m ground resolution. To check the consistency between GIMMS and MODIS data sets, a comparative analysis was performed. For a large European window (40 × 40°, data distribution, spatial and temporal agreement were analyzed, as well as the timing of important phenological events. Overall, only a moderately good agreement of NDVI values was found. Large differences occurred during winter. Large discrepancies were also observed for phenological metrics, in particular the start of season. Information regarding the maximum of season was more consistent. Hence, both data sets should be well inter-calibrated before being used concurrently.

  12. Characterising and quantifying vegetative drought in East Africa using fuzzy modelling and NDVI data

    NARCIS (Netherlands)

    Rulinda, Coco M.; Dilo, Arta; Bijker, Wietske; Stein, Alfred

    2012-01-01

    This study aims at improving the characterisation and quantification of vegetative drought as a vague spatial phenomenon. 10-day NOAA-AVHRR NDVI images of East Africa from September 2005 to April 2006 are used. Vegetative drought is characterised using a membership function to model the gradual tran

  13. Analysis of Postfire Vegetation Dynamics of Mediterranean Shrub Species Based on Terrestrial and NDVI Data

    Science.gov (United States)

    Hernández-Clemente, Rocío; Navarro Cerrillo, R. M.; Hernández-Bermejo, J. E.; Escuin Royo, S.; Kasimis, N. A.

    2009-05-01

    The present study offers an analysis of regeneration patterns and diversity dynamics after a wildfire, which occurred in 1993 and affected about 7000 ha in southern Spain. The aim of the work was to analyze the rule in the succession of shrub species after fire, relating it to the changes registered in the Normalized Difference Vegetation Index (NDVI). Fractional vegetation cover was recorded from permanent plots in 2000 and 2005. NDVI data related to each time were obtained from Landsat images. Both data sets, from fieldwork and remote sensing, were analyzed through statistical and quantitative analyses and then correlated. Results have permitted the description of the change in plant cover and species composition on a global and plot scale. It can be affirmed that, from the seventh to the twelfth year after the fire, the floristic composition within the burned area remained unchanged at a global level. However, on a smaller scale (plot level), the major shrub species, Ulex parviflorus, Rosmarinus officinalis, and Cistus clusii, underwent significant changes. The regeneration dynamics established by these species conditioned plant species composition and, consequently, diversity indexes such as Shannon (H) and Simpson (D). The changes recorded in the NDVI values corresponding to the surveyed plots were highly correlated with those found in the regrowth of the main species. Areas dominated by U. parviflorus in a senile phase were related to a decrease in NDVI values and an increase in the number of species. This result describes the successional dynamics; the dryness of the main colonizer shrub species is allowing the regrowth and re-establishment of other species. Within the study area, NDVI shows sensitivity to postfire plant cover changes and indirectly expresses the diversity dynamics.

  14. Recent trends in agricultural production of Africa based on AVHRR NDVI time series

    Science.gov (United States)

    Vrieling, Anton; de Beurs, Kirsten M.; Brown, Molly E.

    2008-10-01

    African agriculture is expected to be hard-hit by ongoing climate change. Effects are heterogeneous within the continent, but in some regions resulting production declines have already impacted food security. Time series of remote sensing data allow us to examine where persistent changes occur. In this study, we propose to examine recent trends in agricultural production using 26 years of NDVI data. We use the 8-km resolution AVHRR NDVI 15-day composites of the GIMMS group (1981-2006). Temporal data-filtering is applied using an iterative Savitzky-Golay algorithm to remove noise in the time series. Except for some regions with persistent cloud cover, this filter produced smooth profiles. Subsequently two methods were used to extract phenology indicators from the profiles for each raster cell. These indicators include start of season, length of season, time of maximum NDVI, maximum NDVI, and cumulated NDVI over the season. Having extracted the indicators for every year, we aggregate them for agricultural areas at sub-national level using a crop mask. The aggregation was done to focus the analysis on agriculture, and allow future comparison with yield statistics. Trend analysis was performed for yearly aggregated indicators to assess where persistent change occurred during the 26-year period. Results show that the phenology extraction method chosen has an important influence on trend outcomes. Consistent trends suggest a rising yield trend for 500-1100 mm rainfall zones ranging from Senegal to Sudan. Negative yield trends are expected for the southern Atlantic coast of West Africa, and for western Tanzania.

  15. NDVI from Landsat 8 Vegetation Indices to Study Movement Dynamics of Capra Ibex in Mountain Areas

    Science.gov (United States)

    Pirotti, F.; Parraga, M. A.; Stuaro, E.; Dubbini, M.; Masiero, A.; Ramanzin, M.

    2014-09-01

    In this study we analyse the correlation between the spatial positions of Capra ibex (mountain goat) on an hourly basis and the information obtained from vegetation indices extracted from Landsat 8 datasets. Eight individuals were tagged with a collar with a GNSS receiver and their position was recorded every hour since the beginning of 2013 till 2014 (still ongoing); a total of 16 Landsat 8 cloud-free datasets overlapped that area during that time period. All images were brought to a reference radiometric level and NDVI was calculated. To assess behaviour of animal movement, NDVI values were extracted at each position (i.e. every hour). A daily "area of influence" was calculated by spatially creating a convex hull perimeter around the 24 points relative to each day, and then applying a 120 m buffer (figure 4). In each buffer a set of 24 points was randomly chosen and NDVI values again extracted. Statistical analysis and significance testing supported the hypothesis of the pseudo-random NDVI values to be have, in average, lower values than the real NDVI values, with a p value of 0.129 for not paired t test and p value of < 0.001 for pairwise t test. This is still a first study which will go more in depth in near future by testing models to see if the animal movements in different periods of the year follow in some way the phenological stage of vegetation. Different aspects have to be accounted for, such as the behaviour of animals when not feeding (e.g. resting) and the statistical significance of daily distributions, which might be improved by analysing broader gaps of time.

  16. Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors

    Science.gov (United States)

    Gamon, J. A.; Kovalchuck, O.; Wong, C. Y. S.; Harris, A.; Garrity, S. R.

    2015-07-01

    The vegetation indices normalized difference vegetation index (NDVI) and photochemical reflectance index (PRI) provide indicators of pigmentation and photosynthetic activity that can be used to model photosynthesis from remote sensing with the light-use-efficiency model. To help develop and validate this approach, reliable proximal NDVI and PRI sensors have been needed. We tested new NDVI and PRI sensors, "spectral reflectance sensors" (SRS sensors; recently developed by Decagon Devices, during spring activation of photosynthetic activity in evergreen and deciduous stands. We also evaluated two methods of sensor cross-calibration - one that considered sky conditions (cloud cover) at midday only, and another that also considered diurnal sun angle effects. Cross-calibration clearly affected sensor agreement with independent measurements, with the best method dependent upon the study aim and time frame (seasonal vs. diurnal). The seasonal patterns of NDVI and PRI differed for evergreen and deciduous species, demonstrating the complementary nature of these two indices. Over the spring season, PRI was most strongly influenced by changing chlorophyll : carotenoid pool sizes, while over the diurnal timescale, PRI was most affected by the xanthophyll cycle epoxidation state. This finding demonstrates that the SRS PRI sensors can resolve different processes affecting PRI over different timescales. The advent of small, inexpensive, automated PRI and NDVI sensors offers new ways to explore environmental and physiological constraints on photosynthesis, and may be particularly well suited for use at flux tower sites. Wider application of automated sensors could lead to improved integration of flux and remote sensing approaches for studying photosynthetic carbon uptake, and could help define the concept of contrasting vegetation optical types.

  17. Trends in the normalized difference vegetation index (NDVI) associated with urban development in arctic and subarctic Western Siberia

    Science.gov (United States)

    Outten, S.; Miles, V.; Ezau, I.

    2015-12-01

    Changes in normalized difference vegetation index (NDVI) in the high Arctic have been reliably documented, with widespread "greening" (increase in NDVI), specifically along the northern rim of Eurasia and Alaska. Whereas in West Siberia south of 65N, widespread "browning" (decrease in NDVI) has been noted, although the causes remain largely unclear. In this study we report results of statistical analysis of the spatial and temporal changes in NDVI around 28 major urban areas in the arctic and subarctic Western Siberia. Exploration and exploitation of oil and gas reserves has led to rapid industrialization and urban development in the region. This development has significant impact on the environment and particularly in the vegetation cover in and around the urbanized areas. The analysis is based on 15 years (2000-2014) of high-resolution (250 m) Moderate Resolution Imaging Spectroradiometer (MODIS) data acquired for summer months (June through August) over the entire arctic and subarctic Western Siberian region. The analysis shows that the NDVI background trends are generally in agreement with the trends reported in previous coarse-resolution NDVI studies. Our study reveals greening over the arctic (tundra and tundra-forest) part of the region. Simultaneously, the southern (boreal taiga forest) part is browning, with the more densely vegetation areas or areas with highest NDVI, particularly along Ob River showing strong negative trend. The unexpected and interesting finding of the study is statistically robust indication of the accelerated increase of NDVI ("greening") in the older urban areas. Many Siberian cities become greener even against the decrease in the NDVI background. Moreover, interannual variations of urban NDVI are not coherent with the NDVI background variability. We also find that in tundra zones, NDVI values are higher in a 5-10 km buffer zone around the city edge than in rural areas (40 km distance from the city edge), and in taiga in a 5-10 km

  18. Tendências temporais de atividade física no Brasil (2006-2009 Time trends of physical activity in Brazil (2006-2009

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    Pedro C Hallal

    2011-09-01

    Full Text Available OBJETIVO: Analisar as tendências temporais de atividade física (AF nas capitais brasileiras entre 2006 e 2009. MÉTODOS: A análise apresentada neste artigo é baseada nos dados do VIGITEL, totalizando uma amostra anual aproximada de 54.000 indivíduos. Foram analisados indicadores de AF no tempo livre, trabalho, em casa e no deslocamento, além do tempo assistindo à televisão e de inatividade considerando todos os domínios de AF. A variação dos indicadores no período foi aferida por meio de modelos de regressão de Poisson, tendo como variável explanatória o ano do inquérito. Foi considerada significativa a evolução correspondente a um coeficiente de regressão diferente de zero (pOBJECTIVE: To examine time trends in physical activity (PA in Brazilian state capitals from 2006 to 2009. METHODS: This analysis is based on data from the Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases (VIGITEL accounting for an annual sample of approximately 54,000 individuals. PA indicators were analyzed in free time (leisure, work, home and transportation, time spent in front of the television and inactivity considering all PA domains. Poisson regression models were used to measure the variation of indicators over time. We considered the changes corresponding to a regression coefficient different from zero as being statistically significant (p<0.05. RESULTS: The percentage of active commuters increased from 11.7 to 14.4% (p<0.001 whereas the proportion of physically inactive individuals in the four domains decreased from 11.7 to 8.7% (p<0.001. There were no significant changes in the other indicators. Women were less active than men in all indicators, except for household chores. However, in this indicator the percentage of active women decreased from 71.4 to 67.1% (p<0.001. Between 2006 and 2009, PA levels in the Brazilian population were stable during free time and household chores, but increased in transportation

  19. NDVI, scale invariance and the modifiable areal unit problem: An assessment of vegetation in the Adelaide Parklands

    Science.gov (United States)

    Nouri, Hamideh; Anderson, Sharolyn; Sutton, Paul; Beecham, Simon; Nagler, Pamela L.; Jarchow, Christopher J; Roberts, Dar A.

    2017-01-01

    This research addresses the question as to whether or not the Normalised Difference Vegetation Index (NDVI) is scale invariant (i.e. constant over spatial aggregation) for pure pixels of urban vegetation. It has been long recognized that there are issues related to the modifiable areal unit problem (MAUP) pertaining to indices such as NDVI and images at varying spatial resolutions. These issues are relevant to using NDVI values in spatial analyses. We compare two different methods of calculation of a mean NDVI: 1) using pixel values of NDVI within feature/object boundaries and 2) first calculating the mean red and mean near-infrared across all feature pixels and then calculating NDVI. We explore the nature and magnitude of these differences for images taken from two sensors, a 1.24 m resolution WorldView-3 and a 0.1 m resolution digital aerial image. We apply these methods over an urban park located in the Adelaide Parklands of South Australia. We demonstrate that the MAUP is not an issue for calculation of NDVI within a sensor for pure urban vegetation pixels. This may prove useful for future rule-based monitoring of the ecosystem functioning of green infrastructure.

  20. Assessing Fractional Tree, Grass, and Bare Soil Cover from NDVI and Rainfall Time Series along the Kalahari Transect, Africa

    Science.gov (United States)

    Scanlon, T. M.; Albertson, J. D.; Caylor, K. K.; Williams, C. A.

    2001-12-01

    Savanna ecosystems are water-limited, a characteristic that can be exploited to estimate fractional cover of trees, grass, and bare soil over large-scale areas from synthesis of remote sensing and rainfall measurements. A method is presented to estimate fractional cover components along the Kalahari Transect (KT), an aridity gradient in southern Africa, based upon the differing ways in which grasses and trees respond to rainfall. Mean wet season normalized difference vegetation index (NDVI) and the sensitivity of the NDVI to variation in wet season rainfall are used as input into a linear unmixing model, and end-members for this analysis are extracted on the basis of best fit to the observed data. The end-members for the mixing analysis are consistent with the qualitative characteristics of trees (high NDVI, low sensitivity of NDVI to interannual variations in rainfall), bare soil (low NDVI, low sensitivity), and the transient grass/ bare soil area (moderate NDVI, high sensitivity). Sensitivity of NDVI to rainfall was based upon the relationship between NDVI and the standardized anomalies, or z-score, of the wet season precipitation, resulting in a 22% improvement in the number of significant relationships (parea is limited by the tree fractional cover on the wetter end of the transect, peaks at approximately 450 mm of mean wet season rainfall, and is limited by rainfall on the more arid portion of the transect. With NDVI for grass inferred from the data, predictions of yearly tree, grass, and bare soil fractional cover can be derived. No calibration or training sets were required for this unmixing procedure, and an additional advantage of this method over traditional unmixing approaches is that cover components can be predicted for future rainfall scenarios. This remote sensing-based model framework, together with a tree/grass interaction submodel, could be used to predict long-term migration of the cover components along this gradient in response to climate

  1. A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States

    Science.gov (United States)

    Gu, Y.; Brown, J.F.; Verdin, J.P.; Wardlow, B.

    2007-01-01

    A five-year (2001-2005) history of moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) data was analyzed for grassland drought assessment within the central United States, specifically for the Flint Hills of Kansas and Oklahoma. Initial results show strong relationships among NDVI, NDWI, and drought conditions. During the summer over the Tallgrass Prairie National Preserve, the average NDVI and NDWI were consistently lower (NDVI 0.6 and NDWI>0.4). NDWI values exhibited a quicker response to drought conditions than NDVI. Analysis revealed that combining information from visible, near infrared, and short wave infrared channels improved sensitivity to drought severity. The proposed normalized difference drought index (NDDI) had a stronger response to summer drought conditions than a simple difference between NDVI and NDWI, and is therefore a more sensitive indicator of drought in grasslands than NDVI alone. Copyright 2007 by the American Geophysical Union.

  2. Applying Markov Chains for NDVI Time Series Forecasting of Latvian Regions

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    Stepchenko Arthur

    2015-12-01

    Full Text Available Time series of earth observation based estimates of vegetation inform about variations in vegetation at the scale of Latvia. A vegetation index is an indicator that describes the amount of chlorophyll (the green mass and shows the relative density and health of vegetation. NDVI index is an important variable for vegetation forecasting and management of various problems, such as climate change monitoring, energy usage monitoring, managing the consumption of natural resources, agricultural productivity monitoring, drought monitoring and forest fire detection. In this paper, we make a one-step-ahead prediction of 7-daily time series of NDVI index using Markov chains. The choice of a Markov chain is due to the fact that a Markov chain is a sequence of random variables where each variable is located in some state. And a Markov chain contains probabilities of moving from one state to other.

  3. On the Variation of NDVI with the Principal Climatic Elements in the Tibetan Plateau

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    Yunchuan Yang

    2013-04-01

    Full Text Available Temperature and precipitation have been separately reported to be the main factors affecting the Normalized Difference Vegetation Index (NDVI in the Tibetan Plateau. The effects of the main climatic factors on the yearly maximum NDVI (MNDVI in the Tibetan Plateau were examined on different scales. The result underscored the observation that both precipitation and temperature affect MNDVI based on weather stations or physico-geographical regions. Precipitation is the main climatic factor that affects the vegetation cover in the entire Tibetan Plateau. Both annual mean precipitation and annual mean precipitation of the growing period are related with MNDVI, and the positive correlations are manifested in a linear manner. By comparison, the weakly correlated current between MNDVI and all the temperature indexes is observed in the study area.

  4. Subdivision of Pantanal Quaternary Wetlands: Modis Ndvi Timeseries in the Indirect Detection of Sediments Granulometry

    Science.gov (United States)

    Penatti, N. C.; de Almeida, T. I. R.

    2012-07-01

    The Pantanal is the world's largest wetland presenting a variety of ecological sub-regions. The region is characterized by seasonal floods followed by long droughts. At this period, some areas rapidly dry, while others remain soaked. The study hypothesis was based on the statement that this phenomenon cannot be totally explained by small relief variations but by the sediment granulometry: the pelitic sediments allow the soil to retain moisture longer, implying that the vegetation has greater possibilities of continuing photosynthetically active even during the drought. It was developed based on the spectral behaviour of MODIS products, validated by previous fieldwork. Using MODIS, we studied a large scale patterns in spatial and seasonal dynamics of the vegetation in different regions of Pantanal. So, two indirect parameters of the local physical environment - sediment granulometry and water availability - potentially can be estimated. We calculated the NDVI from MOD09GQ for rainy and dry seasons, generating triplets (NDVI/NIR and Red bands) that allowed to identify vegetation changes in those periods. The 16-days composites of NDVI (MOD13Q1) were used to generate a 5-year time-series for pixels associated with 161 locals sampled for granulometric analyses. The samples were taken in 10 different areas from the 20 geological and environmentally homologous areas delimited in this research. The clear tendency in the time-series confirms the working hypothesis, indicating that there is a high relationship between drought-related changes in vegetation extracted from NDVI and sediment texture, parameter that plays an important role in soil moisture, influencing the vegetation response to droughts.

  5. Evaluation of vegetation cover using the normalized difference vegetation index (NDVI

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    Gabriela Camargos Lima

    2013-08-01

    Full Text Available Soil loss by water erosion is the main cause of soil degradation in Brazil. However, erosion can be reduced by the presence of vegetation. The Normalized Difference Vegetation Index (NDVI makes it possible to identify the vegetative vigor of crops or natural vegetation which facilities the identification of areas with vegetation covers. This information is very important in identifying the phenomena which might be occurring in a particular area, especially those related to soil degradation by water erosion. Thus, the aim of this work was to assess the canopy cover by using NDVI, checking the image accuracy using the Coverage Index (CI based on the Stocking method, in the Sub-basin of Posses, which belongs to the Cantareira System, located in the Extrema municipality, Minas Gerais, Brazil. Landsat-5 TM images were used. The sub-basin of Posses was very altered in comparison to the surrounding areas. The NDVI technique proved to be a suitable tool to assess the uses that occur in the sub-basin of Posses, as validated by the Stocking methodology. The map derived from NDVI allowed the geographic distribution of different land uses to be observed and allowed for the identification of critical areas in relation to vegetation cover as well. This finding can be used to optimize efforts to recover and protect soil in areas with bare soil and degraded pasture, in order to reduce environmental degradation. The CI has not exceeded 40% for land use classes that occur in the majority of the sub-basin (91%, except in areas of woody vegetation.

  6. Spatiotemporal NDVI, LAI, albedo, and surface temperature dynamics in the southwest of the Brazilian Amazon forest

    Science.gov (United States)

    Querino, Carlos Alexandre Santos; Beneditti, Cristina Aparecida; Machado, Nadja Gomes; da Silva, Marcelo José Gama; da Silva Querino, Juliane Kayse Albuquerque; dos Santos Neto, Luiz Alves; Biudes, Marcelo Sacardi

    2016-04-01

    During the last decades, the Amazon rainforest underwent uncontrolled exploitation that modified its environmental variables. The current paper analyzes the spatiotemporal dynamics of the normalized difference vegetation index (NDVI), leaf area index (LAI), and surface albedo, and temperature in two different vegetation covers, preserved and deforested areas. We calculated the remote-sensing products using Landsat 5 TM images obtained during the dry season 1984, 1991, 2000, and 2011 of the central region of the State of Rondônia, Brazil. The results showed a reduction of vegetation indexes NDVI (˜0.70 in 1984 to ˜0.27 in 2011) and LAI (˜1.8 in 1984 to ˜0.3 in 2011), with an increase of surface albedo (0.12 in 1984 to 0.20 in 2011) and temperature (˜24°C in 1984 to 30°C in 2011) as the effect of the rainforest converted in grassland during the study period. No changes in any variables were observed in the protected area. Forest conversion into grassland resulted in a decrease of 69% in NDVI and 110% in LAI and a rise of 59% and 24% in albedo and surface temperature, respectively.

  7. Multisensor NDVI-Based Monitoring of the Tundra-Taiga Interface (Mealy Mountains, Labrador, Canada

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    Heather Ward

    2013-03-01

    Full Text Available The analysis of a series of five normalized difference vegetation index (NDVI images produced information about a Labrador (Canada portion of the tundra-taiga interface. The twenty-five year observation period ranges from 1983 to 2008. The series composed of Landsat, SPOT and ASTER images, provided insight into regional scale characteristics of the tundra-taiga interface that is usually monitored from coarse resolution images. The image set was analyzed by considering an ordinal classification of the NDVI to account for the cumulative effect of differences of near-infrared spectral resolutions, the temperature anomalies, and atmospheric conditions. An increasing trend of the median values in the low, intermediate and high NDVI classes is clearly marked while accounting for variations attributed to cross-sensor radiometry, phenology and atmospheric disturbances. An encroachment of the forest on the tundra for the whole study area was estimated at 0 to 60 m, depending on the period of observation, as calculated by the difference between the median retreat and advance of an estimated location of the tree line. In small sections, advances and retreats of up to 320 m are reported for the most recent four- and seven-year periods of observations.

  8. Aspectos prosódicos temporais da leitura de escolares com dislexia do desenvolvimento Temporal prosodic aspects of reading in students with developmental dyslexia

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    Luciana Mendonça Alves

    2009-01-01

    Full Text Available OBJETIVO: Analisar, do ponto de vista fonético, por meio de medidas acústicas e perceptivas, os aspectos prosódicos temporais presentes na leitura em voz alta de escolares com e sem dislexia, a fim de identificar diferenças de desempenho entre os dois tipos de leitores que possam apontar para características peculiares da dislexia. MÉTODOS: Gravação da leitura de um texto por 40 escolares (entre nove e 14 anos, cursando da 3ª à 5ª série, sendo 10 disléxicos (grupo clínico e 30 escolares sem queixas de alterações de aprendizagem (grupo não-clínico. Os dados foram analisados perceptivamente e acusticamente, utilizando-se o programa WinPitch. As seguintes medidas foram realizadas: duração e localização das pausas, tempo total de elocução, taxa de elocução, tempo de articulação e taxa de articulação. RESULTADOS: Em comparação com o grupo não-clínico, o grupo clínico apresentou maior número de pausas e pausas mais longas; os valores obtidos para as taxas de elocução e de articulação indicaram respectivamente menor velocidade de leitura e uma lentidão na produção de cada gesto articulatório. CONCLUSÃO: As dificuldades identificadas no processamento da leitura pelas crianças com dislexia dificultam a organização prosódica na leitura de um texto.PURPOSE: To analyze the temporal prosodic aspect in loud reading of students with and without dyslexia from the phonetic point of view through acoustic and perceptual evaluation, in order to identify differences in performance between the two types of readers that may point to particular characteristics of dyslexia. METHODS: Forty students from 3rd to 5th grades with ages ranging from nine to 14 years, ten dyslexic (clinical group and 30 without any complaints of learning deficits (non-clinical group were recorded during loud reading of a text. Data were perceptually and acoustically analyzed using the software WinPitch. The following measures were taken: pause

  9. Tabagismo em estudantes de Medicina: tendências temporais e fatores associados Smoking among medical students: temporal trends and related variables

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    Ana Maria Baptista Menezes

    2004-06-01

    Full Text Available INTRODUÇÃO: Após o declínio observado na prevalência de tabagismo entre estudantes de Medicina entre as décadas de 1960 e 1980, parece estar ocorrendo, atualmente, uma estabilização nessa prevalência. OBJETIVO: Avaliar as tendências temporais de tabagismo entre estudantes de Medicina da Universidade Federal de Pelotas (RS nos últimos dezessete anos, e alguns dos fatores associados ao hábito de fumar desses estudantes. MÉTODO: Estudos transversais com metodologias comparáveis foram conduzidos em 1986, 1991, 1996 e 2002. Questionários auto-aplicáveis foram utilizados. Definiu-se como fumante o indivíduo que fumava mais de um cigarro por dia há mais de um mês. Foram realizadas análises descritivas iniciais, análises brutas com utilização dos testes de qui-quadrado para heterogeneidade e tendência linear, e regressão de Poisson para avaliar o efeito do ano cursado sobre a freqüência de tabagismo, com controle para a idade do estudante. RESULTADOS: A prevalência atual de tabagismo entre os estudantes foi de 10,1%, valor estatisticamente similar ao dos levantamentos de 1991 e 1996. Não foram encontradas diferenças na prevalência de tabagismo por sexo, idade, tabagismo materno ou paterno. A freqüência de tabagismo aumentou durante a faculdade. CONCLUSÕES: A tendência de declínio na prevalência de tabagismo em estudantes de Medicina da Universidade Federal de Pelotas parece estar sendo substituída por uma estabilização em torno de 10% a 15%. O combate ao fumo ainda parece indispensável em ambientes universitários, especialmente nas escolas de Medicina.BACKGROUND: Although the prevalence of smoking among medical students declined steadily between the 1960s and 1980s, it seems to have stabilized in recent years. OBJECTIVES: To evaluate temporal trends, over the last 17 years, in the smoking habits of medical students at the Universidade Federal de Pelotas, in the state of Rio Grande do Sul, Brazil, and to identify

  10. NDVI Variation and Its Responses to Climate Change on the Northern Loess Plateau of China from 1998 to 2012

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    Tingting Ning

    2015-01-01

    Full Text Available This study analyzed temporal and spatial changes of normalized difference vegetation index (NDVI on the northern Loess Plateau and their correlation with climatic factors from 1998 to 2012. The possible impacts of human activities on the NDVI changes were also explored. The results showed that (1 the annual maximum NDVI showed an upward trend. The significantly increased NDVI and decreasing severe desertification areas demonstrate that the vegetation condition improved in this area. (2 Over the past decades, climate tended to be warmer and drier. However, the mean temperature significantly decreased and precipitation slightly increased from 1998 to 2012, especially in spring and summer, which was one of the major reasons for the increase in the annual maximum NDVI. Compared to temperature, vegetation was more sensitive to precipitation changes in this area. The NDVI and annual precipitation changes were highly synchronous over the first half of the year, while a 1-month time lag existed between the two variables during the second half of the year. (3 Positive human activities, including the “Grain for Green” program and successful environmental treatments at coal mining bases, were some of the other factors that improved the vegetation condition.

  11. NDVI statistical distribution of pasture areas at different times in the Community of Madrid (Spain)

    Science.gov (United States)

    Martín-Sotoca, Juan J.; Saa-Requejo, Antonio; Díaz-Ambrona, Carlos G. H.; Tarquis, Ana M.

    2015-04-01

    The severity of drought has many implications for society, including its impacts on the water supply, water pollution, reservoir management and ecosystem. However, its impacts on rain-fed agriculture are especially direct. Because of the importance of drought, there have been many attempts to characterize its severity, resulting in the numerous drought indices that have been developed (Niemeyer 2008). 'Biomass index' based on satellite image derived Normalized Difference Vegetation Index (NDVI) has been used in countries like United States of America, Canada and Spain for pasture and forage crops for some years (Rao, 2010). This type of agricultural insurance is named as 'index-based insurance' (IBI). IBI is perceived to be substantially less costly to operate and manage than multiple peril insurance. IBI contracts pay indemnities based not on the actual yield (or revenue) losses experienced by the insurance purchaser but rather based on realized NDVI values (historical data) that is correlated with farm-level losses (Xiaohui Deng et al., 2008). Definition of when drought event occurs is defined on NDVI threshold values mainly based in statistical parameters, average and standard deviation that characterize a normal distribution. In this work a pasture area at the north of Community of Madrid (Spain) has been delimited. Then, NDVI historical data was reconstructed based on remote sensing imaging MODIS, with 500x500m2 resolution. A statistical analysis of the NDVI histograms at consecutives 46 intervals of that area was applied to search for the best statistical distribution based on the maximum likelihood criteria. The results show that the normal distribution is not the optimal representation when IBI is available; the implications in the context of crop insurance are discussed (Martín-Sotoca, 2014). References Kolli N Rao. 2010. Index based Crop Insurance. Agriculture and Agricultural Science Procedia 1, 193-203. Martín-Sotoca, J.J. (2014) Estructura Espacial

  12. Correlation analysis of Normalized Different Vegetation Index (NDVI)difference series and climate variables in the Xilingole steppe,China from 1983 to 1999

    Institute of Scientific and Technical Information of China (English)

    GU Zhihui; CHEN Jin; SHI Peijun; XU Ming

    2007-01-01

    There is a crucial need in the study of global change to understand how terrestrial ecosystems respond to the climate system.It has been demonstrated by many researches that Normalized Different Vegetation Index (NDVI)time series from remotely sensed data,which provide effective information of vegetation conditions on a large scale with highly temporal resolution,have a good relation with meteorological factors.However,few of these studies have taken the cumulative property of NDVI time series into account.In this study,NDVI difference series were proposed to replace the original NDVI time series with NDVI difference series to reappraise the relationship between NDVI and meteorological factors.As a proxy of the vegetation growing process,NDVI difference represents net primary productivity of vegetation at a certain time interval under an environment controlled by certain climatic conditions and other factors.This data replacement is helpful to eliminate the cumulative effect that exist in original NDVI time series,and thus is more appropriate to understand how climate system affects vegetation growth in a short time scale.By using the correlation analysis method,we studied the relationship between NOAA/AVHRR ten-day NDVI difference series and corresponding meteorological data from 1983 to 1999 from 11 meteorological stations located in the Xilingole steppe in Inner Mongolia.The results show that:(1)meteorological factors are found to be more significantly correlation with NDVI difference at the biomass-rising phase than that at the falling phase;(2)the relationship between NDVI difference and climate variables varies with vegetation types and vegetation communities.In a typical steppe dominated by Leymus chinensis,temperature has higher correlation with NDVI difference than precipitation does,and in a typical steppe dominated by Stipa krylovii,the correlation between temperature and NDVI difference is lower than that between precipitation and NDVI difference.In a

  13. Mapping return levels of absolute NDVI variations for the assessment of drought risk in Ethiopia

    Science.gov (United States)

    Tonini, F.; Hochmair, H. H.; Jona Lasinio, G.

    2012-12-01

    The analysis and forecasting of extreme climatic events has become increasingly relevant to planning effective financial and food-related interventions in third-world countries. Natural disasters and climate change, both large and small scale, have a great impact on non-industrialized populations who rely exclusively on activities such as crop production, fishing, and similar livelihood activities. It is important to identify the extent of the areas prone to severe drought conditions in order to study the possible consequences of the drought on annual crop production. In this paper, we aim to identify such areas within the South Tigray zone, Ethiopia, using a transformation of the Normalized Difference Vegetation Index (NDVI) called Absolute Difference NDVI (ADVI). Negative NDVI shifts from the historical average can generally be linked to a reduction in the vigor of local vegetation. Drought is more likely to increase in areas where negative shifts occur more frequently and with high magnitude, making it possible to spot critical situations. We propose a new methodology for the assessment of drought risk in areas where crop production represents a primary source of livelihood for its inhabitants. We estimate ADVI return levels pixel per pixel by fitting extreme value models to independent monthly minima. The study is conducted using SPOT-Vegetation (VGT) ten-day composite (S10) images from April 1998 to March 2009. In all short-term and long-term predictions, we found that central and southern areas of the South Tigray zone are prone to a higher drought risk compared to other areas.; Temporal autocorrelation among monthly minima within the Alamata woreda. (a) ACF-Boxplot and (b) PACF-Boxplot. ; ADVI return level estimates. (a) 10-Month return levels. (b) 100-Month return levels. (c) 1000-Month return levels.

  14. Variation of biomass and carbon pool with NDVI and altitude in sub-tropical forests of northwestern Himalaya.

    Science.gov (United States)

    Bhardwaj, D R; Banday, Muneesa; Pala, Nazir A; Rajput, Bhalendra Singh

    2016-11-01

    In the present study, forests at three altitudes, viz., A1 (600-900 m), A2 (900-1200 m) and A3 (1200-1500 m) above mean sea level having normalised differential vegetation index (NDVI) values of N1 (0.0-0.1), N2 (0.1-0.2), N3 (0.2-0.3), N4 (0.3-0.4) and N5 (0.4-0.5) were selected for studying their relationship with the biomass and carbon pool in the state of Himachal Pradesh, India. The study reported maximum stem density of (928 trees ha(-1)) at the A2 altitude and minimum in the A3 and A1 with 600 trees ha(-1) each. The stem densities in relation to NDVIs were observed in the order N5 > N3 > N4 > N1 > N2 and did not show any definite trend with increasing altitude. Highest stem volume (295.7 m(3) ha(-1)) was observed in N1 NDVI and minimum (194.1 m(3) ha(-1)) in N3 index. The trend observed for stem biomass at different altitudes was A3 > A1 > A2 and for NDVIs, it was N5 > N1 > N4 > N2 > N3. Maximum aboveground biomass (265.83 t ha(-1)) was recorded in the 0.0-0.1 NDVI and minimum (169.05 t ha(-1)) in 0.2-0.3 NDVI index. Significantly, maximum total soil carbon density (90.82 t C ha(-1)) was observed in 0.4-0.5 NDVI followed by 0.3-0.4 NDVI (77.12 t C ha(-1)). The relationship between soil carbon and other studied parameters was derived through different functions simultaneously. Cubic function showed highest r (2) in most cases, followed by power, inverse and exponential function. The relationship with NDVI showed highest r (2) (0.62) through cubic functions. In relationship between ecosystem carbon with other parameters of different altitudinal gradient and NDVI, only one positively significant relation was formed with total density (0.579) through cubic function. The present study thus reveals that soil carbon density was directly related to altitude and NDVIs, but the vegetation carbon density did not bear any significant relation with altitude and NDVI.

  15. Recent variations in NDVI-based plant growth and their relationship with climate in boreal intact forest landscapes

    Science.gov (United States)

    Jin, J.; Jiang, H.; Lu, X.; Zhang, X.

    2015-12-01

    Intact Forest Landscapes (IFLs), defined as large unbroken expanses of forest landscape without signs of significant human activity, have significant ecological values. Previous studies suggest a reversal in the greening of boreal plants was exhibited in the late 1990s. In this study, we focus on variations in plant growth of boreal IFLs from 2000 to 2014 and their correlation with local climatic factors between 45°N and 70°N. The average Normalized Difference Vegetation Index (NDVI) during the growing season (GS, which is from April to October) derived from MOD13C2, is used as a proxy of plant growth. Compared to a significant increase in GS NDVI of boreal plants during the 1980s and early 1990s, GS NDVI of ca. 85.7% of total IFLs in the study area exhibited insignificant change after 2000. About 10.2% of total boreal IFLs exhibited significant greening (an increase in GS NDVI), and only 4.1% of the total showed significant browning (a decrease in GS NDVI) during the study period. For greening boreal IFLs, ca. 46.0% of these showed a significant correlation between GS temperature and NDVI. For browning IFLs, an increase in precipitation during the non-growing season (NGS, which is from previous November to current March) and cooling in GS and NGS were the main climatic causes for decreases of GS NDVI. However, over 65% of browning boreal IFLs did not correlate with any climatic factor, and the browning may be associated with artificial activities. About 49.4% of no-change boreal IFLs showed significant correlation between GS NDVI and climatic factors, and 72.5% of these sensitive plants exhibited a significant positive correlation between GS temperature and NDVI. On the whole, an increase in GS and NGS temperature could promote plant growth of boreal IFLs, while an increase of NGS precipitation mainly inhibited plant growth. However, nearly half of total boreal IFLs displayed no sensitivity to any climatic factors chosen in our present work.

  16. 蒙古高原NDVI的空间格局及分异%NDVI spatial pattern and its differentiation on the Mongolian Plateau

    Institute of Scientific and Technical Information of China (English)

    张雪艳; 胡云锋; 庄大方; 齐永清; 马欣

    2009-01-01

    GIMMS NDVI database and geo-statistics were used to depict the spatial distribu-tion and temporal stability of NDVI on the Mongolian Plateau. The results demonstrated that: (1) Regions of interest with high NDVI indices were distributed primarily in forested moun-tainous regions of the east and the north, areas with low NDVI indices were primarily distrib-uted in the Gobi desert regions of the west and the southwest, and areas with moderate NDVI values were mainly distributed in a middle steppe strap from northwest to southeast. (2) The maximum NDVI values maintained for the past 22 years showed little variation. The average NDVI variance coefficient for the 22-year period was 15.2%. (3) NDVI distribution and vege-tation cover showed spatial autocorrelations on a global scale. NDVI patterns from the vegetation cover also demonstrated anisotropy; a higher positive spatial correlation was in-dicated in a NW-SE direction, which suggested that vegetation cover in a NW-SE direction maintained increased integrity, and vegetation assemblage was mainly distributed in the same specific direction. (4) The NDVl spatial distribution was mainly controlled by structural factors, 88.7% of the total spatial variation was influenced by structural and 11.3% by random factors. And the global autocorrelation distance was 1178 km, and the average vegetation patch length (NW-SE) to width (NE-SW) ratio was approximately 2.4:1.0.

  17. Evaluating the utility and seasonality of NDVI values for assessing post-disturbance recovery in a subalpine forest.

    Science.gov (United States)

    Buma, Brian

    2012-06-01

    Forest disturbances around the world have the potential to alter forest type and cover, with impacts on diversity, carbon storage, and landscape composition. These disturbances, especially fire, are common and often large, making ground investigation of forest recovery difficult. Remote sensing offers a means to monitor forest recovery in real time, over the entire landscape. Typically, recovery monitoring via remote sensing consists of measuring vegetation indices (e.g., NDVI) or index-derived metrics, with the assumption that recovery in NDVI (for example) is a meaningful measure of ecosystem recovery. This study tests that assumption using MODIS 16-day imagery from 2000 to 2010 in the area of the Colorado's Routt National Forest Hinman burn (2002) and seedling density counts taken in the same area. Results indicate that NDVI is rarely correlated with forest recovery, and is dominated by annual and perennial forb cover, although topography complicates analysis. Utility of NDVI as a means to delineate areas of recovery or non-recovery are in doubt, as bootstrapped analysis indicates distinguishing power only slightly better than random. NDVI in revegetation analyses should carefully consider the ecology and seasonal patterns of the system in question.

  18. Inter-annual variation of NDVI over Korea Peninsula using harmonic analysis

    Science.gov (United States)

    Kim, In-hwan; Han, Kyung-Soo; Pi, Kyoung-Jin; Park, Soo-Jae; Kim, Sang-Il

    2010-10-01

    Global warming and climatic changes due to human activities impact on marine and terrestrial ecosystems, which feedbacks to climate system. These negative feedbacks amplify or accelerate again global climate change. In particular, life cycle of vegetation sensitively vary according to global climate change. This study attempts to analyze quantitatively vegetation change in Korea peninsula using harmonic analysis. Satellite data was extracted from SPOT/VEGETATION S10 MVC (Maximum Value Composite) NDVI (Normalized Difference Vegetation Index) products during 10 years (1999 to 2008) around Korea peninsula. This NDVI data set was pre-processed to correct noise pixels cause by cloud and ground wetness. Variation of vegetation life cycle was analyzed through amplitudes and phases of annual harmonic components (first harmonic components) per year for two land cover types (cropland and forest). The results clearly show that the peak of vegetation life cycle in Korea peninsula is brought forward to early. Especially, it represents that the phases over low latitudes area between 32.8°N and 38°N steadily decrease every year both forest and cropland. The study estimated that phase values moved up approximately 0.5 day per year in cropland and 0.8 day per year in forest.

  19. [Dynamic changes in vegetation NDVI from 1982 to 2012 and its responses to climate change and human activities in Xinjiang, China].

    Science.gov (United States)

    Du, Jia-qiang; Jiaerheng, Ahati; Zhao, Chenxi; Fang, Guang-ling; Yin, Jun-qi; Xiang, Bao; Yuan, Xin-jie; Fang, Shi-feng

    2015-12-01

    Vegetation plays an important role in regulating the terrestrial carbon balance and the climate system, and also overwhelmingly dominates the provisioning of ecosystem services. Therefore, it has significance to monitor the growth of vegetation. Based on AVHRR GIMMS NDVI and MODIS NDVI datasets, we analyzed the spatiotemporal patterns of change in NDVI and their linkage with climate change and human activity from 1982 to 2012 in the typical arid region, Xinjiang of northwestern China, at pixel and regional scales. At regional scale, although a statistically significant positive trend of growing season NDVI with a rate of 4.09 x 10⁻⁴· a⁻¹ was found during 1982-2012, there were two distinct periods with opposite trends in growing season NDVI before and after 1998, respectively. NDVI in growing season first significantly increased with a rate of 10 x 10⁻⁴· a⁻¹ from 1982 to 1998, and then decreased with a rate of -3 x 10⁻⁴· a⁻¹ from 1998 to 2012. The change in trend of NDVI from increase to decrease mainly occurred in summer, followed by autumn, and the reversal wasn't observed in spring. At pixel scale, the NDVI in farmland significantly increased; the NDVI changes in the growing season and all seasons showed polarization: Areas with significant change mostly increased in size as the NDVI record grown in length. The rate of increase in size of areas with significantly decreasing NDVI was larger than that with significantly increasing NDVI, which led to the NDVI increase obviously slowing down or stopping at regional scale. The vegetation growth in the study area was regulated by both climate change and human activity. Temperature was the most important driving factor in spring and autumn, whereas precipitation in summer. Extensive use of fertilizers and increased farmland irrigated area promoted the vegetation growth. However, the rapid increase in the proportion of cotton cultivation and use of drip irrigation might reduce spring NDVI in the

  20. Evaluation of methods to derive green-up dates based on daily NDVI satellite observations

    Science.gov (United States)

    Doktor, Daniel

    2010-05-01

    Bridging the gap between satellite derived green-up dates and in situ phenological observations has been the purpose of many studies over the last decades. Despite substantial advancements in satellite technology and data quality checks there is as yet no universally accepted method for extracting phenological metrics based on satellite derived vegetation indices. Dependent on the respective method derived green-up dates can vary up to serveral weeks using identical data sets. Consequently, it is difficult to compare various studies and to accurately determine an increased vegetation length due to changing temperature patterns as observed by ground phenological networks. Here, I compared how the characteristic NDVI increase over temperate deciduous forests in Germany in spring relates to respective budburst events observed on the ground. MODIS Terra daily surface reflectances with a 250 m resolution (2000-2008) were gathered to compute daily NDVI values. As ground truth, observations of the extensive phenological network of the German Weather Service were used. About 1500 observations per year and species (Beech, Oak and Birch) were available evenly distributed all over Germany. Two filtering methods were tested to reduce the noisy raw data. The first method only keeps NDVI values which are classified as ‚ideal global quality' and applies on those a temporal moving window where values are removed which differ more than 20% of the mean. The second method uses an adaptation of the BISE (Best Index Slope Extraction) algorithm. Subsequently, three functions were fitted to the selected observations: a simple linear interpolation, a sigmoidal function and a double logistic sigmoidal function allowing to approximate two temporally separated green-up signals. The green-up date was then determined at halfway between minimum and maximum (linear interpolation) or at the inflexion point of the sigmoidal curve. A number of global threshold values (NDVI 0.4,0.5,0.6) and

  1. Monitoring vegetation dynamics with SPOT-VEGETATION NDVI time-series data in Tarim Basin, Xinjiang, China

    Science.gov (United States)

    Wan, Hongxiu; Sun, Zhandong; Xu, Yongming

    2009-09-01

    Desertification in the arid and semiarid regions directly influences the density and growth status of vegetation, NDVI (Normalized Difference Vegetation Index) has been widely used to monitor vegetation changes. This study analyzed the spatial patters of vegetation activity and its temporal variability in Tarim Basin, Xinjiang, China since 1998 to 2007 with NDVI data derived from SPOT4 Vegetation. The coefficient of variation (CoV) of the NDVI was used as a parameter to characterize the change of vegetation and to compare the amount of variation in different sets of sample data. The method of quantifying changes in CoV values for each pixel was based on linear regression. The slope of linear regression was acted as the criterion for the change direction: pixels with a negative slope are considered to represent ground area with decreasing amounts of vegetation, vice versa. In this paper, We calculated (1) the inter-annual CoV based on the yearly ONDVI, the sum of the monthly NDVI in the growing season (from April to October), for each pixel between 1998-2007 to reveal the spatial patterns of vegetation activity, (2) the intra-annual CoV based on monthly NDVI by MVC to reflect vegetation seasonal dynamics, (3) the slope (") of the intra-annual CoV regression line for each pixel to identify the overall long-term trend of vegetation dynamics. This experiment demonstrated the feasibility of applying the CoV and its regression analysis based on long term SPOT-VGT NDVI time-series data for vegetation dynamics monitoring.

  2. NDVI-Based Vegetation Change in Inner Mongolia from 1982 to 2006 and Its Relationship to Climate at the Biome Scale

    Directory of Open Access Journals (Sweden)

    Linghui Guo

    2014-01-01

    Full Text Available Based on the normalized difference vegetation index (NDVI, we analyzed vegetation change of the six major biomes across Inner Mongolia at the growing season and the monthly timescales and estimated their responses to climate change between 1982 and 2006. To reduce disturbance associated with land use change, those pixels affected by land use change from the 1980s to 2000s were excluded. At the growing season scale, the NDVI increased weakly in the natural ecosystems, but strongly in cropland. Interannual variations in the growing season NDVI for forest was positively linked with potential evapotranspiration and temperature, but negatively correlated with precipitation. In contrast, it was positively correlated with precipitation, but negatively related to potential evapotranspiration for other natural biomes, particularly for desert steppe. Although monthly NDVI trends were characterized as heterogeneous, corresponding to monthly variations in climate change among biome types, warming-related NDVI at the beginning of the growing season was the main contributor to the NDVI increase during the growing season for forest, meadow steppe, and typical steppe, but it constrained the NDVI increase for desert steppe, desert, and crop. Significant one-month lagged correlations between monthly NDVI and climate variables were found, but the correlation characteristics varied greatly depending on vegetation type.

  3. MODIS NDVI Change Detection Techniques and Products Used in the Near Real Time Forwarn System for Detecting, Monitoring, and Analyzing Regional Forest Disturbances

    Science.gov (United States)

    Spruce, J.; Hargrove, W. W.; Gasser, J.; Smoot, J.; Kuper, P.

    2014-12-01

    This presentation discusses MODIS NDVI change detection methods and products used in the ForWarn Early Warning System (EWS) for near real time (NRT) recognition and tracking of regionally evident forest disturbances throughout the conterminous US (CONUS). This EWS has provided NRT forest change products to the forest health protection community since 2010, using temporally processed MODIS Aqua and Terra NDVI time series data to currently compute and post 6 different forest change products for CONUS every 8 days. Multiple change products are required to improve detectability and to more fully assess the nature of apparent disturbances. Each type of forest change product reports per pixel percent change in NDVI for a given 24 day interval, comparing current versus a given historical baseline NDVI. EMODIS 7 day expedited and MODIS MOD13 data are used to obtain current and historical NDVIs, respectively. Historical NDVI data is processed with the Time Series Product Tool (TSPT) and the Phenological Parameters Estimation Tool (PPET) software. While each change product employs maximum value compositing (MVC) of NDVI, the design of specific products primarily differs in terms of the historical baseline. The three main change products use either 1, 3, or all previous years of MVC NDVI as a baseline. Another product uses an Adaptive Length Compositing (ALC) version of MVC to derive an alternative current NDVI that is the freshest quality NDVI as opposed to merely the MVC NDVI across a 24 day time frame. The ALC approach can improve detection speed by 8 to 16 days. ForWarn also includes 2 change products that improve detectability of forest disturbances in lieu of climatic fluctuations, especially in the spring and fall. One compares current MVC NDVI to the zonal maximum under the curve NDVI per pheno-region cluster class, considering all previous years in the MODIS record. The other compares current maximum NDVI to the mean of maximum NDVI for all previous MODIS years. The

  4. Multifractal characteristics of NDVI maps in space and time in the Community of Madrid (Spain)

    Science.gov (United States)

    Sotoca, Juan J. Martin; Saa-Requejo, Antonio; Grau, Juan B.; Tarquis, Ana M.

    2015-04-01

    Satellite information has contributed to improve our understanding of the spatial variability of hydro-climatic and ecological processes. Vegetation activity is tightly coupled with climate, hydro-ecological fluxes, and terrain dynamics in river basins at a wide range of space-time scales (Scheuring and Riedi, 1994). Indices of vegetation activity are constructed using satellite information of reflectance of the relevant spectral bands which enhance the contribution of vegetation being Normalized Difference Vegetation Index (NDVI) widely used. How can we study such a complex system? Multifractals and fractals are related techniques mainly used in physics to characterize the scaling behaviour of a system; they differ in that fractals look at the geometry of presence/absence patterns, while multifractals look at the arrangement of quantities such as population or biomass densities (Saravia et al., 2012). Scaling laws are an emergent general feature of ecological systems; they reflect constraints in their organization that can provide tracks about the underlying mechanisms (Solé and Bascompte, 2006). In this work, we have applied these techniques to study the spatial pattern through one year of NDVI maps. A rectangular area that includes the Community of Madrid and part of the surroundings, consisting of 300 x 280 pixels with a resolution of 500 x 500 m2 has been selected and monthly NDVI maps analyzed using the multifractal spectrum and the map of singularities (Cheng and Agterberg, 1996). The results show a cyclical pattern in the multifractal behaviour and singularity points related to river basin networks (Martín-Sotoca, 2014). References Cheng, Q. and Agterberg, F.P. (1996). Multifractal modeling and spatial statistics. Math. Geol. Vol 28, 1-16. Martín-Sotoca, J.J. (2014) Estructura Espacial de la Sequía en Pastos y sus Aplicaciones en el Seguro Agrario. Master Thesis, UPM (In Spanish). Saravia LA, Giorgi A, Momo F.: Multifractal growth in periphyton

  5. Mapping irrigated areas in Afghanistan over the past decade using MODIS NDVI

    Science.gov (United States)

    Pervez, Md Shahriar; Budde, Michael; Rowland, James

    2014-01-01

    Agricultural production capacity contributes to food security in Afghanistan and is largely dependent on irrigated farming, mostly utilizing surface water fed by snowmelt. Because of the high contribution of irrigated crops (> 80%) to total agricultural production, knowing the spatial distribution and year-to-year variability in irrigated areas is imperative to monitoring food security for the country. We used 16-day composites of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor to create 23-point time series for each year from 2000 through 2013. Seasonal peak values and time series were used in a threshold-dependent decision tree algorithm to map irrigated areas in Afghanistan for the last 14 years. In the absence of ground reference irrigated area information, we evaluated these maps with the irrigated areas classified from multiple snapshots of the landscape during the growing season from Landsat 5 optical and thermal sensor images. We were able to identify irrigated areas using Landsat imagery by selecting as irrigated those areas with Landsat-derived NDVI greater than 0.30–0.45, depending on the date of the Landsat image and surface temperature less than or equal to 310 Kelvin (36.9 ° C). Due to the availability of Landsat images, we were able to compare with the MODIS-derived maps for four years: 2000, 2009, 2010, and 2011. The irrigated areas derived from Landsat agreed well r2 = 0.91 with the irrigated areas derived from MODIS, providing confidence in the MODIS NDVI threshold approach. The maps portrayed a highly dynamic irrigated agriculture practice in Afghanistan, where the amount of irrigated area was largely determined by the availability of surface water, especially snowmelt, and varied by as much as 30% between water surplus and water deficit years. During the past 14 years, 2001, 2004, and 2008 showed the lowest levels of irrigated area (~ 1.5 million hectares), attesting to

  6. Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS Normalized Difference Vegetation Index (NDVI3g at Global Scales

    Directory of Open Access Journals (Sweden)

    Alvaro Ivanoff

    2013-08-01

    Full Text Available Satellite observations of surface reflected solar radiation contain information about variability in the absorption of solar radiation by vegetation. Understanding the causes of variability is important for models that use these data to drive land surface fluxes or for benchmarking prognostic vegetation models. Here we evaluated the interannual variability in the new 30.5-year long global satellite-derived surface reflectance index data, Global Inventory Modeling and Mapping Studies normalized difference vegetation index (GIMMS NDVI3g. Pearson’s correlation and multiple linear stepwise regression analyses were applied to quantify the NDVI interannual variability driven by climate anomalies, and to evaluate the effects of potential interference (snow, aerosols and clouds on the NDVI signal. We found ecologically plausible strong controls on NDVI variability by antecedent precipitation and current monthly temperature with distinct spatial patterns. Precipitation correlations were strongest for temperate to tropical water limited herbaceous systems where in some regions and seasons > 40% of the NDVI variance could be explained by precipitation anomalies. Temperature correlations were strongest in northern mid- to high-latitudes in the spring and early summer where up to 70% of the NDVI variance was explained by temperature anomalies. We find that, in western and central North America, winter-spring precipitation determines early summer growth while more recent precipitation controls NDVI variability in late summer. In contrast, current or prior wet season precipitation anomalies were correlated with all months of NDVI in sub-tropical herbaceous vegetation. Snow, aerosols and clouds as well as unexplained phenomena still account for part of the NDVI variance despite corrections. Nevertheless, this study demonstrates that GIMMS NDVI3g represents real responses of vegetation to climate variability that are useful for global models.

  7. Increased wetness confounds Landsat-derived NDVI trends in the central Alaska North Slope region, 1985-2011

    Science.gov (United States)

    Raynolds, Martha K.; Walker, Donald A.

    2016-08-01

    Satellite data from the circumpolar Arctic have shown increases in vegetation indices correlated to warming air temperatures (e.g. Bhatt et al 2013 Remote Sensing 5 4229-54). However, more information is needed at finer scales to relate the satellite trends to vegetation changes on the ground. We examined changes using Landsat TM and ETM+ data between 1985 and 2011 in the central Alaska North Slope region, where the vegetation and landscapes are relatively well-known and mapped. We calculated trends in the normalized difference vegetation index (NDVI) and tasseled-cap transformation indices, and related them to high-resolution aerial photographs, ground studies, and vegetation maps. Significant, mostly negative, changes in NDVI occurred in 7.3% of the area, with greater change in aquatic and barren types. Large reflectance changes due to erosion, deposition and lake drainage were evident. Oil industry-related changes such as construction of artificial islands, roads, and gravel pads were also easily identified. Regional trends showed decreases in NDVI for most vegetation types, but increases in tasseled-cap greenness (56% of study area, greatest for vegetation types with high shrub cover) and tasseled-cap wetness (11% of area), consistent with documented degradation of polygon ice wedges, indicating that increasing cover of water may be masking increases in vegetation when summarized using the water-sensitive NDVI.

  8. Exploring Long Term Spatial Vegetation Trends in Taiwan from AVHRR NDVI3g Dataset Using RDA and HCA Analyses

    Directory of Open Access Journals (Sweden)

    Hui Ping Tsai

    2016-03-01

    Full Text Available Due to 4000 m elevation variation with temperature differences equivalent to 50 degrees of latitudinal gradient, exploring Taiwan’s spatial vegetation trends is valuable in terms of diverse ecosystems and climatic types covering a relatively small island with an area of 36,000 km2. This study analyzed Taiwan’s spatial vegetation trends with controlling environmental variables through redundancy (RDA and hierarchical cluster (HCA analyses over three decades (1982–2012 of monthly normalized difference vegetation index (NDVI derived from the Advanced Very High Resolution Radiometer (AVHRR NDVI3g data for 19 selected weather stations over the island. Results showed two spatially distinct vegetation response groups. Group 1 comprises weather stations which remained relatively natural showing a slight increasing NDVI tendency accompanied with rising temperature, whereas Group 2 comprises stations with high level of human development showing a slight decreasing NDVI tendency associated with increasing temperature-induced moisture stress. Statistically significant controlling variables include climatic factors (temperature and precipitation, orographic factors (mean slope and aspects, and anthropogenic factor (population density. Given the potential trajectories for future warming, variable precipitation, and population pressure, challenges, such as land-cover and water-induced vegetation stress, need to be considered simultaneously for establishing adequate adaptation strategies to combat climate change challenges in Taiwan.

  9. Detecting Climate Effects on Vegetation in Northern Mixed Prairie Using NOAA AVHRR 1-km Time-Series NDVI Data

    Directory of Open Access Journals (Sweden)

    Zhaoqin Li

    2012-01-01

    Full Text Available Grasslands hold varied grazing capacity, provide multiple habitats for diverse wildlife, and are a key component of carbon stock. Research has indicated that grasslands are experiencing effects related to recent climate trends. Understanding how grasslands respond to climate variation thus is essential. However, it is difficult to separate the effects of climate variation from grazing. This study aims to document vegetation condition under climate variation in Grasslands National Park (GNP of Canada, a grassland ecosystem without grazing for over 20 years, using Normalized Difference Vegetation Index (NDVI data to establish vegetation baselines. The main findings are (1 precipitation has more effects than temperature on vegetation; (2 the growing season of vegetation had an expanding trend indicated by earlier green-up and later senescence; (3 phenologically-tuned annual NDVI had an increasing trend from 1985 to 2007; and (4 the baselines of annual NDVI range from 0.13 to 0.32, and only the NDVI in 1999 is beyond the upper bound of the baseline. Our results indicate that vegetation phenology and condition have slightly changed in GNP since 1985, although vegetation condition in most years was still within the baselines.

  10. Changes in greening in the high Arctic: insights from a 30 year AVHRR max NDVI dataset for Svalbard

    Science.gov (United States)

    Vickers, Hannah; Arild Høgda, Kjell; Solbø, Stian; Rune Karlsen, Stein; Tømmervik, Hans; Aanes, Ronny; Hansen, Brage B.

    2016-10-01

    Satellite-aided studies of vegetation cover, biomass and productivity are becoming increasingly important for monitoring the effects of a changing climate on the biosphere. With their large spatial coverage and good temporal resolution, space-borne instruments are ideal to observe remote areas over extended time periods. However, long time series datasets with global coverage have in many cases too low spatial resolution for sparsely vegetated high latitude areas. This study has made use of a newly developed 30 year 1 km spatial resolution dataset from 1986 to 2015, provided by the NOAA AVHRR series of satellites, in order to calculate the annual maximum NDVI over parts of Svalbard (78°N). This parameter is indicative of vegetation productivity and has therefore enabled us to study long-term changes in greening within the Inner Fjord Zone on Svalbard. In addition, local meteorological data are available to link maximum NDVI values to the temporal behavior of the mean growing season (summer) temperature for the study area. Over the 30 year period, we find positive trends in both maximum NDVI (average increase of 29%) and mean summer temperature (59%), which were significantly positively correlated with each other. This suggests a temporal greening trend mediated by summer warming. However, as also recently reported for lower latitudes, the strength of the year-to-year correlation between maximum NDVI and mean summer temperature decreased, suggesting that the response of vegetation to summer warming has not remained the same over the entire study period.

  11. NDVI changes in China between 1989 and 1999 using change vector analysis based on time series data

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Change vector analysis (CVA) and principal component analysis in NDVI time-trajectories space are powerful tools to analyze land-cover change. The magnitude of the change vector indicates amplitude of the change, while its direction indicates the nature of the change. CVA is applied to two remotely sensed indicators of land surface conditions, NDVI and spatial structure, in order to improve the capability to detect and categorize land-cover change. The magnitude and type of changes are calculated in China from 1989 to 1999. Through the research, the main conclusions are drawn as follows: 1) The changes of NDVI are quite different between eastern China and western China, and the change range in the east is bigger than that in the west. The trend in NDVI time series is smoothly increasing, the increases happen mostly in Taiwan, Ftjian, Sichuan and Henan provinces and the decreases occur in Yunnan and Xinjiang. 2) The spatial structure index can indicate changes in theseasonal ecosystem dynamics for spatially heterogeneous landscapes. Most of spatial structurechanges, which occurred in southern China, correlated with vegetation growth processes and strike of mountains.

  12. A categorical, improper probability method for combining NDVI and LiDAR elevation information for potential cotton precision agricultural applications

    Science.gov (United States)

    An algorithm is presented to fuse the Normalized Difference Vegetation Index (NDVI) with Light Detection and Ranging (LiDAR) elevation data to produce a map potentially useful for the site-specific scouting and pest management of several insect pests. In cotton, these pests include the Tarnished Pl...

  13. Assessing onset and length of greening period in six vegetation types in Oaxaca, Mexico, using NDVI-precipitation relationships.

    Science.gov (United States)

    Gómez-Mendoza, L; Galicia, L; Cuevas-Fernández, M L; Magaña, V; Gómez, G; Palacio-Prieto, J L

    2008-07-01

    Variations in the normalized vegetation index (NDVI) for the state of Oaxaca, in southern Mexico, were analyzed in terms of precipitation anomalies for the period 1997-2003. Using 10-day averages in NDVI data, obtained from AVHRR satellite information, the response of six types of vegetation to intra-annual and inter-annual fluctuations in precipitation were examined. The onset and temporal evolution of the greening period were studied in terms of precipitation variations through spectral analysis (coherence and phase). The results indicate that extremely dry periods, such as those observed in 1997 and 2001, resulted in low values of NDVI for much of Oaxaca, while good precipitation periods produced a rapid response (20-30 days of delay) from a stressed to a non-stressed condition in most vegetation types. One of these rapid changes occurred during the transition from dry to wet conditions during the summer of 1998. As in many parts of the tropics and subtropics, the NDVI reflects low frequency variations in precipitation on several spatial scales. Even after long dry periods (2001-2002), the various regional vegetation types are capable of recovering when a good rainy season takes place, indicating that vegetation types such as the evergreen forests in the high parts of Oaxaca respond better to rainfall characteristics (timing, amount) than to temperature changes, as is the case in most mid-latitudes. This finding may be relevant to prepare climate change scenarios for forests, where increases in surface temperature and precipitation anomalies are expected.

  14. Environmental Drivers of NDVI-Based Vegetation Phenology in Central Asia

    Directory of Open Access Journals (Sweden)

    Jahan Kariyeva

    2011-02-01

    Full Text Available Through the application and use of geospatial data, this study aimed to detect and characterize some of the key environmental drivers contributing to landscape-scale vegetation response patterns in Central Asia. The objectives of the study were to identify the variables driving the year-to-year vegetation dynamics in three regional landscapes (desert, steppe, and mountainous; and to determine if the identified environmental drivers can be used to explain the spatial-temporal variability of these spatio-temporal dynamics over time. It was posed that patterns of change in terrestrial phenology, derived from the 8 km bi-weekly time series of Normalized Difference Vegetation Index (NDVI data acquired by the Advanced Very High Resolution Radiometer (AVHRR satellites (1981–2008, can be explained through a multi-scale analysis of a suite of environmental drivers. Multiple linear stepwise regression analyses were used to test the hypotheses and address the objectives of the study. The annually computed phenological response variables or pheno-metricstime (season start, season length, and an NDVI-based productivity metric were modeled as a function of ten environmental factors relating to soil, topography, and climate. Each of the three studied regional landscapes was shown to be governed by a distinctive suite of environmental drivers. The phenological responses of the steppe landscapes were affected by the year-to-year variation in temperature regimes. The phenology of the mountainous landscapes was influenced primarily by the elevation gradient. The phenological responses of desert landscapes were demonstrated to have the greatest variability over time and seemed to be affected by soil carbon content and year-to-year variation of both temperature regimes and winter precipitation patterns. Amounts and scales of observed phenological variability over time (measured through coefficient of variation for each pheno-metrictime in each of the regional

  15. Assessment of the environmental effects of mining using SPOT-Vegetation NDVI

    Science.gov (United States)

    Tote, C.; Swinnen, E.; Goossens, M.; Reusen, I.; Delalieux, S.

    2012-04-01

    Within the ImpactMin project, funded by the Framework Programme 7 of the European Commission, new methods for the environmental impact monitoring of mining operations are being developed. The objective of this study is to analyze the impact of mining on soil properties through assessment of the vegetation status using time series analysis of low resolution Normalized Difference Vegetation Index (NDVI) images derived from SPOT-Vegetation. The study focuses on the surroundings of mining areas in the Orenburg region in the Russian Urals. Karabash has been a centre for mining and metal production for well over 3000 years, and environmental impact of (historical) mining in the area is extremely severe. The area was characterized as an 'ecological disaster zone', based on chemical analysis of soil samples in the area [1]. The mining activities were intensified in the early to mid-20th century, but the old smelter was modernized in the 1990s. A time series of 10-daily NDVI images from SPOT-Vegetation (S10 April/1998-December/2010 at 1km2 resolution, http://www.vgt.vito.be/) is analyzed. Different land cover types clearly show different phenology. To remove seasonal vegetation changes and thus to facilitate the interpretation through the historical record, a Standardized Difference Vegetation Index (SDVI) was calculated for each pixel and for each record of the time series. The first results of trend analyses indicate a strong recovery of open forests in the Karabash region in the last decade. To what extent this can be related to reduced mining impact or climate factors, still needs to be assessed. Further research will also focus on the spatial heterogeneity of phenological parameters, in relation to distance to and wind direction of the smelters and soil properties. [1] V. Nestersnko, "Urban associations of elements- environmental pollutants in Karabash city (Chelyabinsk oblast) as a reflection of ore-chemical descriptions of mineral raw material", Proceedings of the

  16. High-Resolution NDVI from Planet's Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture

    KAUST Repository

    Houborg, Rasmus

    2016-09-19

    Planet Labs ("Planet") operate the largest fleet of active nano-satellites in orbit, offering an unprecedented monitoring capacity of daily and global RGB image capture at 3-5 m resolution. However, limitations in spectral resolution and lack of accurate radiometric sensor calibration impact the utility of this rich information source. In this study, Planet\\'s RGB imagery was translated into a Normalized Difference Vegetation Index (NDVI): a common metric for vegetation growth and condition. Our framework employs a data mining approach to build a set of rule-based regression models that relate RGB data to atmospherically corrected Landsat-8 NDVI. The approach was evaluated over a desert agricultural landscape in Saudi Arabia where the use of near-coincident (within five days) Planet and Landsat-8 acquisitions in the training of the regression models resulted in NDVI predictabilities with an r2 of approximately 0.97 and a Mean Absolute Deviation (MAD) on the order of 0.014 (~9%). The MAD increased to 0.021 (~14%) when the Landsat NDVI training image was further away (i.e., 11-16 days) from the corrected Planet image. In these cases, the use of MODIS observations to inform on the change in NDVI occurring between overpasses was shown to significantly improve prediction accuracies. MAD levels ranged from 0.002 to 0.011 (3.9% to 9.1%) for the best performing 80% of the data. The technique is generic and extendable to any region of interest, increasing the utility of Planet\\'s dense time-series of RGB imagery.

  17. Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia

    Directory of Open Access Journals (Sweden)

    Junbang Wang

    2014-03-01

    Full Text Available Gross primary production (GPP plays an important role in the net ecosystem exchange of CO2 between the atmosphere and terrestrial ecosystems. It is particularly important to monitor GPP in Southeast Asia because of increasing rates of tropical forest degradation and deforestation in the region in recent decades. The newly available, improved, third generation Normalized Difference Vegetation Index (NDVI3g from the Global Inventory Modelling and Mapping Studies (GIMMS group provides a long temporal dataset, from July 1981 to December 2011, for terrestrial carbon cycle and climate response research. However, GIMMS NDVI3g-based GPP estimates are not yet available. We applied the GLOPEM-CEVSA model, which integrates an ecosystem process model and a production efficiency model, to estimate GPP in Southeast Asia based on three independent results of the fraction of photosynthetically active radiation absorbed by vegetation (FPAR from GIMMS NDVI3g (GPPNDVI3g, GIMMS NDVI1g (GPPNDVI1g, and the Moderate Resolution Imaging Spectroradiometer (MODIS MOD15A2 FPAR product (GPPMOD15. The GPP results were validated using ground data from eddy flux towers located in different forest biomes, and comparisons were made among the three GPPs as well as the MOD17A2 GPP products (GPPMOD17. Based on validation with flux tower derived GPP estimates the results show that GPPNDVI3g is more accurate than GPPNDVI1g and is comparable in accuracy with GPPMOD15. In addition, GPPNDVI3g and GPPMOD15 have good spatial-temporal consistency. Our results indicate that GIMMS NDVI3g is an effective dataset for regional GPP simulation in Southeast Asia, capable of accurately tracking the variation and trends in long-term terrestrial ecosystem GPP dynamics.

  18. Different responses of MODIS-derived NDVI to root-zone soil moisture in semi-arid and humid regions

    Science.gov (United States)

    Wang, Xianwei; Xie, Hongjie; Guan, Huade; Zhou, Xiaobing

    2007-06-01

    SummarySurface representation of the root-zone soil moisture is investigated so that feasibility of using optical remote sensing techniques to indirectly map root-zone soil moisture is assessed. Specifically, covariation of root-zone soil moisture with the normalized difference of vegetation index (NDVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) is studied at three sites (New Mexico, Arizona, and Texas) selected from the Soil Climate Analysis Network (SCAN). The three sites represent two types of vegetation (shrub and grass) and two types of climate conditions: semi-arid (New Mexico and Arizona) and humid (Texas). Collocated deseasonalized time series of soil moistures at five depths (5 cm, 10 cm, 20 cm, 50 cm, and 100 cm) and NDVI (8-day composite in 250 m resolution) during the period of February 2000 through April 2004 were used for correlation analysis. Similar analysis was also conducted for the raw time series for comparison purposes. The linear regression of both the deseasonalized time series and the raw time series was used to estimate root-zone soil moisture. Results show that (1) the deseasonalized time series results in consistent and significant correlation (0.46-0.55) between NDVI and root-zone soil moisture at the three sites; (2) vegetation (NDVI) at the humid site needs longer time (10 days) to respond to soil moisture change than that at the semi-arid sites (5 days or less); (3) the time-series of root-zone soil moisture estimated by a linear regression model based on deseasonalized time series accounts for 42-71% of the observed soil moisture variations for the three sites; and (4) in the semi-arid region, root-zone soil moisture of shrub-vegetated area can be better estimated using NDVI than that of grass-vegetated area.

  19. Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at Global Scales

    Science.gov (United States)

    Zeng, Fanwei; Collatz, George James; Pinzon, Jorge E.; Ivanoff, Alvaro

    2013-01-01

    Satellite observations of surface reflected solar radiation contain informationabout variability in the absorption of solar radiation by vegetation. Understanding thecauses of variability is important for models that use these data to drive land surface fluxesor for benchmarking prognostic vegetation models. Here we evaluated the interannualvariability in the new 30.5-year long global satellite-derived surface reflectance index data,Global Inventory Modeling and Mapping Studies normalized difference vegetation index(GIMMS NDVI3g). Pearsons correlation and multiple linear stepwise regression analyseswere applied to quantify the NDVI interannual variability driven by climate anomalies, andto evaluate the effects of potential interference (snow, aerosols and clouds) on the NDVIsignal. We found ecologically plausible strong controls on NDVI variability by antecedent precipitation and current monthly temperature with distinct spatial patterns. Precipitation correlations were strongest for temperate to tropical water limited herbaceous systemswhere in some regions and seasons 40 of the NDVI variance could be explained byprecipitation anomalies. Temperature correlations were strongest in northern mid- to-high-latitudes in the spring and early summer where up to 70 of the NDVI variance was explained by temperature anomalies. We find that, in western and central North America,winter-spring precipitation determines early summer growth while more recent precipitation controls NDVI variability in late summer. In contrast, current or prior wetseason precipitation anomalies were correlated with all months of NDVI in sub-tropical herbaceous vegetation. Snow, aerosols and clouds as well as unexplained phenomena still account for part of the NDVI variance despite corrections. Nevertheless, this study demonstrates that GIMMS NDVI3g represents real responses of vegetation to climate variability that are useful for global models.

  20. Mapping and Evaluation of NDVI Trends from Synthetic Time Series Obtained by Blending Landsat and MODIS Data around a Coalfield on the Loess Plateau

    Directory of Open Access Journals (Sweden)

    Kun Wang

    2013-09-01

    Full Text Available The increasingly intensive and extensive coal mining activities on the Loess Plateau pose a threat to the fragile local ecosystems. Quantifying the effects of coal mining activities on environmental conditions is of great interest for restoring and managing the local ecosystems and resources. This paper generates dense NDVI (Normalized Difference Vegetation Index time series between 2000 and 2011 at a spatial resolution of 30 m by blending Landsat and MODIS (Moderate Resolution Imaging Spectroradiometer data using the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM and further evaluates its capability for mapping vegetation trends around a typical coalfield on the Loss Plateau. Synthetic NDVI images were generated using (1 STARFM-generated NIR (near infrared and red band reflectance data (scheme 1 and (2 Landsat and MODIS NDVI images directly as inputs for STARFM (scheme 2. By comparing the synthetic NDVI images with the corresponding Landsat NDVI, we found that scheme 2 consistently generated better results (0.70 < R2 < 0.76 than scheme 1 (0.56 < R2 < 0.70 in this study area. Trend analysis was then performed with the synthetic dense NDVI time series and the annual maximum NDVI (NDVImax time series. The accuracy of these trends was evaluated by comparing to those from the corresponding MODIS time series, and it was concluded that both the trends from synthetic/MODIS NDVI dense time series and synthetic/MODIS NDVImax time series (2000–2011 were highly consistent. Compared to trends from MODIS time series, trends from synthetic time series are better able to capture fine scale vegetation changes. STARFM-generated synthetic NDVI time series could be used to quantify the effects of mining activities on vegetation, but the test areas should be selected with caution, as the trends derived from synthetic and MODIS time series may be significantly different in some areas.

  1. High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

    Directory of Open Access Journals (Sweden)

    Hamideh Nouri

    2014-01-01

    Full Text Available Evapotranspiration estimation has benefitted from recent advances in remote sensing and GIS techniques particularly in agricultural applications rather than urban environments. This paper explores the relationship between urban vegetation evapotranspiration (ET and vegetation indices derived from newly-developed high spatial resolution WorldView-2 imagery. The study site was Veale Gardens in Adelaide, Australia. Image processing was applied on five images captured from February 2012 to February 2013 using ERDAS Imagine. From 64 possible two band combinations of WorldView-2, the most reliable one (with the maximum median differences was selected. Normalized Difference Vegetation Index (NDVI values were derived for each category of landscape cover, namely trees, shrubs, turf grasses, impervious pavements, and water bodies. Urban landscape evapotranspiration rates for Veale Gardens were estimated through field monitoring using observational-based landscape coefficients. The relationships between remotely sensed NDVIs for the entire Veale Gardens and for individual NDVIs of different vegetation covers were compared with field measured urban landscape evapotranspiration rates. The water stress conditions experienced in January 2013 decreased the correlation between ET and NDVI with the highest relationship of ET-Landscape NDVI (Landscape Normalized Difference Vegetation Index for shrubs (r2 = 0.66 and trees (r2 = 0.63. However, when the January data was excluded, there was a significant correlation between ET and NDVI. The highest correlation for ET-Landscape NDVI was found for the entire Veale Gardens regardless of vegetation type (r2 = 0.95, p > 0.05 and the lowest one was for turf (r2 = 0.88, p > 0.05. In support of the feasibility of ET estimation by WV2 over a longer period, an algorithm recently developed that estimates evapotranspiration rates based on the Enhanced Vegetation Index (EVI from MODIS was employed. The results revealed a

  2. Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models

    Science.gov (United States)

    Gu, Yingxin; Wylie, Bruce K.; Boyte, Stephen

    2016-01-01

    In this study, we developed a method that identifies an optimal sample data usage strategy and rule numbers that minimize over- and underfitting effects in regression tree mapping models. A LANDFIRE tile (r04c03, located mainly in northeastern Nevada), which is a composite of multiple Landsat 8 scenes for a target date, was selected for the study. To minimize any cloud and bad detection effects in the original Landsat 8 data, the compositing approach used cosine-similarity-combined pixels from multiple observations based on data quality and temporal proximity to a target date. Julian date 212, which yielded relatively low "no data and/or cloudy” pixels, was used as the target date with Landsat 8 observations from days 140–240 in 2013. The 30-m Landsat 8 composited data were then upscaled to 250 m using a spatial averaging method. Six Landsat 8 spectral bands (bands 1–6) at 250-m resolution were used as independent variables for developing the piecewise regression-tree models to predict the 250-m eMODIS NDVI (dependent variable). Furthermore, to ensure the high quality of the derived 250-m Landsat 8 data, and avoid any additional cloud and atmospheric effects, the percentage of 30-m pixels with “0” values within a 250-m pixel was calculated. Only those 250-m pixels with 0% of “0” values (i.e., all the 30-m pixels within a 250-m pixel have no zero values pixels) were selected to develop the regression-tree model.The 7-day maximum value composites of 250-m MODIS NDVI for the year 2013 were obtained from the USGS expedited MODIS (eMODIS) data archive (https://lta.cr.usgs.gov/emodis). Pixels with bad quality, negative values, clouds, snow cover, and low view angles were filtered out based on the MODIS quality assurance data to ensure high quality eMODIS NDVI data. The 2013 weekly NDVI data were then stacked and temporally smoothed using a weighted least-squares approach to reduce additional atmospheric noise. Temporal smoothing helps to ensure reliable

  3. High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors

    Science.gov (United States)

    Nouri, Hamideh; Beecham, Simon; Anderson, Sharolyn; Nagler, Pamela

    2014-01-01

    Evapotranspiration estimation has benefitted from recent advances in remote sensing and GIS techniques particularly in agricultural applications rather than urban environments. This paper explores the relationship between urban vegetation evapotranspiration (ET) and vegetation indices derived from newly-developed high spatial resolution WorldView-2 imagery. The study site was Veale Gardens in Adelaide, Australia. Image processing was applied on five images captured from February 2012 to February 2013 using ERDAS Imagine. From 64 possible two band combinations of WorldView-2, the most reliable one (with the maximum median differences) was selected. Normalized Difference Vegetation Index (NDVI) values were derived for each category of landscape cover, namely trees, shrubs, turf grasses, impervious pavements, and water bodies. Urban landscape evapotranspiration rates for Veale Gardens were estimated through field monitoring using observational-based landscape coefficients. The relationships between remotely sensed NDVIs for the entire Veale Gardens and for individual NDVIs of different vegetation covers were compared with field measured urban landscape evapotranspiration rates. The water stress conditions experienced in January 2013 decreased the correlation between ET and NDVI with the highest relationship of ET-Landscape NDVI (Landscape Normalized Difference Vegetation Index) for shrubs (r2 = 0.66) and trees (r2 = 0.63). However, when the January data was excluded, there was a significant correlation between ET and NDVI. The highest correlation for ET-Landscape NDVI was found for the entire Veale Gardens regardless of vegetation type (r2 = 0.95, p > 0.05) and the lowest one was for turf (r2 = 0.88, p > 0.05). In support of the feasibility of ET estimation by WV2 over a longer period, an algorithm recently developed that estimates evapotranspiration rates based on the Enhanced Vegetation Index (EVI) from MODIS was employed. The results revealed a significant positive

  4. Clinical and eeg analysis of mesial and lateral temporal lobe seizures Análise clínica e eletrencefalográfica de crises epilépticas temporais de origem mesial e lateral

    Directory of Open Access Journals (Sweden)

    FÁBIO GALVÃO DANTAS

    1998-09-01

    contralateral à área epileptogênica. Verbalização crítica, automatismo de cuspir, piscamento palpebral bilateral, desorientação espacial prolongada e maior percentual de preservação da linguagem no período pós-crítico foram relacionados a crises temporais direitas. Afasia pós-crítica e desorientação global, a crises temporais esquerdas. O EEG teve importante acurácia lateralizatória em ambos os grupos, especialmente quanto à atividade crítica rítmica e achados pós-críticos.

  5. Assessment of MODIS sun-sensor geometry variations effect on observed NDVI using MSG SEVIRI geostationary data

    DEFF Research Database (Denmark)

    Fensholt, R.; Sandholt, I.; Proud, Simon Richard

    2010-01-01

    The quality of Earth observation (EO) based vegetation monitoring has improved during recent years, which can be attributed to the enhanced sensor design of new satellites such as MODIS (Moderate Resolution Imaging Spectroradiometer) on Terra and Aqua. It is however expected that sun-sensor...... geometry variations will have a more visible impact on the Normalized Difference Vegetation Index (NDVI) from MODIS compared to earlier data sources, since noise related to atmosphere and sensor calibration is substantially reduced in the MODIS data stream. For this reason, the effect of varying MODIS...... viewing geometry on red, near-infrared (NIR) and NDVI needs to be quantified. Data from the geostationary MSG (Meteosat Second Generation) SEVIRI (Spinning Enhanced Visible and Infrared Imager) sensor is well suited for this purpose due to the fixed position of the sensor, the spectral resolution...

  6. Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series

    DEFF Research Database (Denmark)

    Estel, Stephan; Kuemmerle, Tobias; Alcántara, Camilo;

    2015-01-01

    Farmland abandonment is a widespread land-use change in temperate regions, due to increasing yields on productive lands, conservation policies, and the increasing imports of agricultural products from other regions. Assessing the environmental outcomes of abandonment and the potential for reculti......Farmland abandonment is a widespread land-use change in temperate regions, due to increasing yields on productive lands, conservation policies, and the increasing imports of agricultural products from other regions. Assessing the environmental outcomes of abandonment and the potential...... for recultivation hinges on incomplete knowledge about the spatial patterns of fallow and abandoned farmland, especially at broad geographic scales. Our goals were to develop a methodology to map active and fallow land using MODIS Normalized Differenced Vegetation Index (NDVI) time series and to provide the first...... observations from the field and from satellite images. The annual maps had an average overall accuracy of 90.1% (average user's accuracy of the fallow class was 73.9%), and we detected an average of 128.7 million hectares (Mha) of fallow land (24.4% of all farmland). Using the fallow/active time series, we...

  7. Evaluation of a Reduced Cost Active NDVI Sensor for Crop Nutrient Management

    Directory of Open Access Journals (Sweden)

    Jared Crain

    2012-01-01

    Full Text Available There are methods to increase fertilizer nitrogen use efficiency through optical sensor-based nitrogen application; however, the sensors are expensive and cost prohibitive to farmers in the developing world. This study evaluated a novel, reduced cost, prototype, and optical sensor to determine if it could be used with the same level of accuracy as a commercial sensor. The stability of the prototype sensor (pocket sensor to maintain an accurate calibration over time, the effect of operator on sensor readings, and sensor performance in maize and wheat were assessed. Evaluation of the sensor performance was conducted in existing wheat and maize trials, as well as turf grass canopies at the International Maize and Wheat Improvement Center, Ciudad Obregon, Mexico.The prototype sensors were highly correlated to the commercial GreenSeeker NDVI sensor in turf grass, wheat, and maize canopies (r2>0.97, r2>0.95, and r2>0.91, resp.. The Pocket Sensors lacked some precision in comparison to the commercial sensor; however, even with the reduced precision, the cost of the sensor and robustness of N fertilizer algorithms compensate for this apparent weakness. The pocket sensor is a new and viable tool to assess wheat and maize nitrogen status and make nitrogen recommendations based upon the data collected with this sensor.

  8. LUCC in China over the Last Half Century: Conversion of Corona into NDVI Imagery

    Science.gov (United States)

    Veroustraete, Frank; Hui, Fang; Liu, Tie; Dong, Qinghan; Willems, Patrick

    2011-01-01

    It is only by using the first collection of intelligence satellite imagery acquired by CORONA, that time series of NDVI imagery can go back for a time lapse of 48 years. This is an exceptionally long time period if not the longest, for which remote sensing imagery can be used to estimate land use change (LUCC), for specific regions on the globe. Essentially China and the former USSR can be documented using CORONA satellite data allowing a multi-temporal coverage of a time period of 48 years. Typical, - for many regions of the globe - is that a 50 year time span represents the principal time period in which many anthropogenic induced land use changes have taken place (from the early sixties). In this study we give an account of the LUCC which has taken place in the Xinjiang province in North-western China over the last 44 years. This province contains the longest inland water basin on the globe, e.g. that of the Tarim river and is a major cotton producer in China. We could demonstrate that over the last 44 years the river basin has undergone drastic land use changes.

  9. Deriving Vegetation Dynamics of Natural Terrestrial Ecosystems from MODIS NDVI/EVI Data over Turkey

    Directory of Open Access Journals (Sweden)

    Onder Gulbeyaz

    2008-09-01

    Full Text Available The 16-day composite MODIS vegetation indices (VIs at 500-m resolution for the period between 2000 to 2007 were seasonally averaged on the basis of the estimated distribution of 16 potential natural terrestrial ecosystems (NTEs across Turkey. Graphical and statistical analyses of the time-series VIs for the NTEs spatially disaggregated in terms of biogeoclimate zones and land cover types included descriptive statistics, correlations, discrete Fourier transform (DFT, time-series decomposition, and simple linear regression (SLR models. Our spatio-temporal analyses revealed that both MODIS VIs, on average, depicted similar seasonal variations for the NTEs, with the NDVI values having higher mean and SD values. The seasonal VIs were most correlated in decreasing order for: barren/sparsely vegetated land > grassland > shrubland/woodland > forest; (subnival > warm temperate > alpine > cool temperate > boreal = Mediterranean; and summer > spring > autumn > winter. Most pronounced differences between the MODIS VI responses over Turkey occurred in boreal and Mediterranean climate zones and forests, and in winter (the senescence phase of the growing season. Our results showed the potential of the time-series MODIS VI datasets in the estimation and monitoring of seasonal and interannual ecosystem dynamics over Turkey that needs to be further improved and refined through systematic and extensive field measurements and validations across various biomes.

  10. Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series

    Directory of Open Access Journals (Sweden)

    Mohammed Y. Said

    2013-02-01

    Full Text Available The spatial distribution of crops and farming systems in Africa is determined by the duration of the period during which crop and livestock water requirements are met. The length of growing period (LGP is normally assessed from weather station data—scarce in large parts of Africa—or coarse-resolution rainfall estimates derived from weather satellites. In this study, we analyzed LGP and its variability based on the 1981–2011 GIMMS NDVI3g dataset. We applied a variable threshold method in combination with a searching algorithm to determine start- and end-of-season. We obtained reliable LGP estimates for arid, semi-arid and sub-humid climates that are consistent in space and time. This approach effectively mapped bimodality for clearly separated wet seasons in the Horn of Africa. Due to cloud contamination, the identified bimodality along the Guinea coast was judged to be less certain. High LGP variability is dominant in arid and semi-arid areas, and is indicative of crop failure risk. Significant negative trends in LGP were found for the northern part of the Sahel, for parts of Tanzania and northern Mozambique, and for the short rains of eastern Kenya. Positive trends occurred across western Africa, in southern Africa, and in eastern Kenya for the long rains. Our LGP analysis provides useful information for the mapping of farming systems, and to study the effects of climate variability and other drivers of change on vegetation and crop suitability.

  11. Salt marsh mapping based on a short-time interval NDVI time-series from HJ-1 CCD imagery

    Science.gov (United States)

    SUN, C.

    2015-12-01

    Salt marshes are regard as one of the most dynamic and valuable ecosystems in coastal zone. It is crucial to obtain accurate information on the species composition and spatial distribution of salt marshes in time since they are experiencing tremendous replacement and disappearance. However, discriminating various types of salt marshes is a rather difficult task because of the strong spectral similarities. In previous studies, salt marsh mappings were mainly focused on high-spatial and hyperspectral resolution imageries combined with auxiliary information but this method can hardly extend to a large region. With high temporal and moderate spatial resolutions, Chinese HJ-1 CCD imagery would not only allow monitoring phenological changes of salt marsh vegetation in short-time intervals, but also cover large areas of salt marshes. Taking the middle coast of Jiangsu (east China) as an example, our study first constructed a monthly NDVI time-series to classify various types of salt marshes. Then, we tested the idea of compressed time-series continuously to broaden the applicability and portability of this particular approach. The results showed that (1) the overall accuracy of salt marsh mapping based on the monthly NDVI time-series reached 90.3%, which increased approximately 16.0% in contrast with a single-phase classification strategy; (2) a compressed time-series, including NDVI from six key months (April, June to September, and November) demonstrated very little decline (2.3%) in overall accuracy but led to obvious improvements in unstable regions; (3) Spartina alterniflora identification could be achieved with only a scene NDVI image from November, which could provide an effective way to regularly monitor its distribution. Besides, by comparing the calibrated performance between HJ-1 CCD and other sensors (i.e., Landsat TM/ETM+, OLI), we certified the reliability of HJ-1 CCD imagery, which is expected to pave the way for laws expansibility from this imagery.

  12. Thirty-two Years of Sahelian Zone Growing Season Non-Stationary NDVI3g Patterns and Trends

    Directory of Open Access Journals (Sweden)

    Assaf Anyamba

    2014-04-01

    Full Text Available We update the Global Inventory Modeling and Mapping Studies (GIMMS analysis of Sahelian vegetation dynamics and trends using the normalized difference vegetation index (NDVI; version 3g 1981 to 2012 data set. We compare the annual NDIV3g and July to October growing season averages with the three rainfall data sets: the Africa Rainfall Climatology from 1983 to 2012, the Variability Analyses of Surface Climate Observations Version-1.1 from 1951 to 2000, and the Nicholson ground-station precipitation rainfall data from 1981 to 1994. We use the Nicholson ground-station annual precipitation data to determine the reliability of the two continental precipitation data sets for specific locations and specific times, extrapolate these confirmed relationships over the Sahelian Zone from 1983 to 2012 with the Africa Rainfall Climatology, and then place these zonal findings within the 1951 to 2000 record of the Variability Analyses of Surface Climate Observations Version-1.1 precipitation data set. We confirm the extreme nature of the 1984–1985 Sahelian drought, a signature event that marked the minima during the 1980s desiccation period followed within ten years by near-maxima rainfall event in 1994 and positive departures is NDVI, marking beginning of predominantly wetter conditions that have persisted to 2012. We also show the NDVI3g data capture “effective” rainfall, the rainfall that is utilized by plants to grow, as compared to rainfall that evaporates or is runoff. Using our effective rainfall concept, we estimate average effective rainfall for the entire Sahelian Zone for the 1984 extreme drought was 223 mm/yr as compared to 406 mm/yr in during the 1994 wet period. We conclude that NDVI3g data can used as a proxy for analyzing and interpreting decadal-scale land surface variability and trends over semi arid-lands.

  13. Does EO NDVI seasonal metrics capture variations in species composition and biomass due to grazing in semi-arid grassland savannas?

    DEFF Research Database (Denmark)

    Olsen, J. L.; Miehe, S.; Ceccato, Pietro;

    2015-01-01

    with moderate – coarse resolution satellite imagery. It is shown that sampling plots excluded from grazing have a different species composition characterized by a longer growth cycle as compared to plots under controlled grazing or communal grazing. Also substantially higher ESSB is observed for grazing...... exclosures as compared to grazed areas, substantially exceeding the amount of biomass expected to be ingested by livestock for this area. The seasonal integrated NDVI (NDVI small integral; capturing only the signal inherent to the growing season recurrent vegetation), derived using absolute thresholds...... to estimate start and end of growing seasons, is identified as the metric most strongly related to ESSB for all grazing regimes. However plot-pixel comparisons demonstrate how the NDVI/ESSB relationship changes due to grazing-induced variation in annual plant species composition and the NDVI values for grazed...

  14. The Influence of Vegetation Cover on Summer Precipitation in China: a Statistical Analysis of NDVI and Climate Data

    Institute of Scientific and Technical Information of China (English)

    张井勇; 董文杰; 符淙斌; 吴凌云

    2003-01-01

    This study provides new evidence for the feedback effects of vegetation cover on summer precipitation in different regions of China by calculating immediate (same season), and one-and two-season lagged correlations between the normalized difference vegetation index (NDVI) and summer precipitation. The results show that the correlation coefficients between NDVI in spring and the previous winter and precipitation in summer are positive in most regions of China, and they show significant difference between regions. The stronger one-and two-season lagged correlations occur in the eastern arid/semi-arid region, Central China,and Southwest China out of the eight climatic regions of China, and this implies that vegetation cover change has more sensitive feedback effects on summer precipitation in the three regions. The three regions are defined as sensitive regions. Spatial analyses of correlations between spring NDVI averaged over each sensitive region and summer precipitation of 160 stations suggest that the vegetation cover strongly affects summer precipitation not only over the sensitive region itself but also over other regions, especially the downstream region.

  15. Preliminary analysis on the relationships between Tibetan Plateau NDVI change and its surface heat source and precipitation of China

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Using the automatic weather station data obtained from the Tibetan Plateau (TP), the normalized dif- ference vegetation index and the monthly precipitation data of China and by the methods of correlation and composite analysis, preliminary analytical results are achieved concerning the relationships be- tween TP NDVI change and its surface heat source and precipitation of China. The results of our re- search may lead to the following conclusions: (1) A positive correlation relationship exists between TP NDVI change and its surface heat source, including the sensible heat and the latent heat. As to the correlation of the former, it is more remarkable in western TP than in eastern TP, and as to the correla- tion of the latter, however it turns out contrary. (2) With the improvement of TP vegetation, its surface heat source of every season is also mainly reinforced, especially in summer. As to the contribution of the sensible heat and the latent heat to the increment of the TP surface heat source intensity, the for- mer is comparatively more significant than the latter in winter and spring, while in summer and autumn, the two have almost the same importance. (3) The correlation coefficient between summer NDVI over TP and the corresponding period precipitation of China displays a belt distribution of "+?+" from south to north China. (4) Anomalous surface heating field over TP derived from vegetation change is probably an important factor to affect summer precipitation of China.

  16. Identification of rice field using Multi-Temporal NDVI and PCA method on Landsat 8 (Case Study: Demak, Central Java)

    Science.gov (United States)

    Sukmono, Abdi; Ardiansyah

    2017-01-01

    Paddy is one of the most important agricultural crop in Indonesia. Indonesia’s consumption of rice per capita in 2013 amounted to 78,82 kg/capita/year. In 2017, the Indonesian government has the mission of realizing Indonesia became self-sufficient in food. Therefore, the Indonesian government should be able to seek the stability of the fulfillment of basic needs for food, such as rice field mapping. The accurate mapping for rice field can use a quick and easy method such as Remote Sensing. In this study, multi-temporal Landsat 8 are used for identification of rice field based on Rice Planting Time. It was combined with other method for extract information from the imagery. The methods which was used Normalized Difference Vegetation Index (NDVI), Principal Component Analysis (PCA) and band combination. Image classification is processed by using nine classes, those are water, settlements, mangrove, gardens, fields, rice fields 1st, rice fields 2nd, rice fields 3rd and rice fields 4th. The results showed the rice fields area obtained from the PCA method was 50,009 ha, combination bands was 51,016 ha and NDVI method was 45,893 ha. The accuracy level was obtained PCA method (84.848%), band combination (81.818%), and NDVI method (75.758%).

  17. Evaluating the Relationship between Field Aerodynamic Roughness and the MODIS BRDF, NDVI, and Wind Speed over Grassland

    Directory of Open Access Journals (Sweden)

    Qiang Xing

    2017-01-01

    Full Text Available Aerodynamic roughness (AR is an important parameter that influences the momentum and energy exchange between the earth’s surface and the atmosphere. In this study, profile wind data observed during the vegetation growing period (April–September in 2013 and 2014 at the A’rou grassland station, which is in the upstream of the Heihe River Basin (HRB, were used to determine the relationship between the field AR and the Moderate-resolution Imaging Spectroradiometer (MODIS near-infrared (NIR bi-directional reflectance distribution function (BRDF R index, the normalized difference vegetation index (NDVI, and a combination of these indices. In addition, the relationship between the average wind speed at a height of 1 m and the field AR is also presented. The results indicate that the MODIS NIR BRDF_R index and the NDVI are both sensitive indicators of the AR over grassland (R2: 0.5228 for NIR BRDF_R; R2: 0.579 for NDVI. Moreover, the combined index shows a significantly increased R2 value of 0.721, which is close to the result inferred from the wind speed (R2: 0.7411. The proposed remote sensing-based combination index (CI has the potential for use in evaluations of the AR over grasslands during growing season and its sensitivity can reach levels that are comparable to considering the effects of wind speed, which usually requires ground-based observations.

  18. Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA

    Science.gov (United States)

    Gu, Yingxin; Wylie, Bruce K.; Bliss, Norman B.

    2013-01-01

    This study assessed and described a relationship between satellite-derived growing season averaged Normalized Difference Vegetation Index (NDVI) and annual productivity for grasslands within the Greater Platte River Basin (GPRB) of the United States. We compared growing season averaged NDVI (GSN) with Soil Survey Geographic (SSURGO) database rangeland productivity and flux tower Gross Primary Productivity (GPP) for grassland areas. The GSN was calculated for each of nine years (2000–2008) using the 7-day composite 250-m eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. Strong correlations exist between the nine-year mean GSN (MGSN) and SSURGO annual productivity for grasslands (R2 = 0.74 for approximately 8000 pixels randomly selected from eight homogeneous regions within the GPRB; R2 = 0.96 for the 14 cluster-averaged points). Results also reveal a strong correlation between GSN and flux tower growing season averaged GPP (R2 = 0.71). Finally, we developed an empirical equation to estimate grassland productivity based on the MGSN. Spatially explicit estimates of grassland productivity over the GPRB were generated, which improved the regional consistency of SSURGO grassland productivity data and can help scientists and land managers to better understand the actual biophysical and ecological characteristics of grassland systems in the GPRB. This final estimated grassland production map can also be used as an input for biogeochemical, ecological, and climate change models.

  19. Strategy for the development of a smart NDVI camera system for outdoor plant detection and agricultural embedded systems.

    Science.gov (United States)

    Dworak, Volker; Selbeck, Joern; Dammer, Karl-Heinz; Hoffmann, Matthias; Zarezadeh, Ali Akbar; Bobda, Christophe

    2013-01-24

    The application of (smart) cameras for process control, mapping, and advanced imaging in agriculture has become an element of precision farming that facilitates the conservation of fertilizer, pesticides, and machine time. This technique additionally reduces the amount of energy required in terms of fuel. Although research activities have increased in this field, high camera prices reflect low adaptation to applications in all fields of agriculture. Smart, low-cost cameras adapted for agricultural applications can overcome this drawback. The normalized difference vegetation index (NDVI) for each image pixel is an applicable algorithm to discriminate plant information from the soil background enabled by a large difference in the reflectance between the near infrared (NIR) and the red channel optical frequency band. Two aligned charge coupled device (CCD) chips for the red and NIR channel are typically used, but they are expensive because of the precise optical alignment required. Therefore, much attention has been given to the development of alternative camera designs. In this study, the advantage of a smart one-chip camera design with NDVI image performance is demonstrated in terms of low cost and simplified design. The required assembly and pixel modifications are described, and new algorithms for establishing an enhanced NDVI image quality for data processing are discussed.

  20. Correlation of meteorological parameters and remotely sensed normalized difference vegetation index (NDVI) with cotton leaf curl virus (CLCV) in Multan

    Science.gov (United States)

    Ahmed, A.; Akhtar, A.; Khalid, B.; Shamim, A.

    2013-06-01

    Climate change and weather has a profound effect on the spread of Cotton Leaf Curl Virus (CLCV) which is transmitted by whitefly. Climate change is altering temperature and precipitation patterns, resulting in the shift of some insect/pest from small population to large population thus effecting crops yield. To find out the relationship between the weather conditions, outburst of CLCV and changes in Normalized Difference Vegetation Index (NDVI) values due to the outburst of CLCV, a study was carried out for tehsil Multan. Data was acquired for the months of June, July, August and September for the year 2010. Regression analysis between CLCV and meteorological conditions as well as between CLCV and NDVI was performed. Meteorological parameters included temperature, humidity, precipitation, cloud cover, wind direction, pan evaporation and sunshine hours. NDVI values were calculated from SPOT satellite imagery (1km) using ArcMap10 and WinDisp v5.1. Correlation coefficients obtained in most of the cases were acceptable however the significance F and P-value were higher than their critical value at 95% level of significance. Therefore significant correlation was found only between CLCV and temperature and between CLCV and PAN evaporation during the month of July.

  1. Using NDVI and EVI to Map Spatiotemporal Variation in the Biomass and Quality of Forage for Migratory Elk in the Greater Yellowstone Ecosystem

    Directory of Open Access Journals (Sweden)

    Erica L. Garroutte

    2016-05-01

    Full Text Available The Normalized Difference Vegetation Index (NDVI and the Enhanced Vegetation Index (EVI have gained considerable attention in ecological research and management as proxies for landscape-scale vegetation quantity and quality. In the Greater Yellowstone Ecosystem (GYE, these indices are especially important for mapping spatiotemporal variation in the forage available to migratory elk (Cervus elaphus. Here, we examined how the accuracy of using MODIS-derived NDVI and EVI as proxies for forage biomass and quality differed across elevation-related phenology and land use gradients, determined if polynomial NDVI/EVI, site, and season effects improved these models, and then mapped spatiotemporal variation in the abundance of high quality forage available to elk across the Upper Yellowstone River Basin (UYRB of the GYE. Models with a polynomial NDVI effect explained 19%–55% more variation in biomass than the linear NDVI and EVI models. Models with linear season effect explained 14%–20% more variation in chlorophyll, 37%–69% more variation in crude protein, and 26%–50% more variation in in vitro dry matter digestibility (IVDMD than the linear NDVI and EVI models. Linear NDVI models explained more variation in biomass and quality across the UYRB than the linear EVI models. The accuracy of these models was lowest in grasslands with late onset of growth, in irrigated agriculture, and after the peak in biomass. Forage biomass and quality varied across the elevation-related phenology and land use gradients in the UYRB throughout the season. At their seasonal peak, the abundance of high quality forage for elk was 50% greater in grasslands with late onset of growth and 200% greater in irrigated agriculture than in all other grasslands, suggesting that these grasslands play an especially important role in the movement and fitness of migratory elk. These results provide novel information on the utility of NDVI and EVI for mapping spatiotemporal patterns of

  2. Combined Spatial and Temporal Effects of Environmental Controls on Long-Term Monthly NDVI in the Southern Africa Savanna

    Directory of Open Access Journals (Sweden)

    Miguel A. Campo-Bescós

    2013-12-01

    Full Text Available Deconstructing the drivers of large-scale vegetation change is critical to predicting and managing projected climate and land use changes that will affect regional vegetation cover in degraded or threated ecosystems. We investigate the shared dynamics of spatially variable vegetation across three large watersheds in the southern Africa savanna. Dynamic Factor Analysis (DFA, a multivariate time-series dimension reduction technique, was used to identify the most important physical drivers of regional vegetation change. We first evaluated the Advanced Very High Resolution Radiometer (AVHRR- vs. the Moderate Resolution Imaging Spectroradiometer (MODIS-based Normalized Difference Vegetation Index (NDVI datasets across their overlapping period (2001–2010. NDVI follows a general pattern of cyclic seasonal variation, with distinct spatio-temporal patterns across physio-geographic regions. Both NDVI products produced similar DFA models, although MODIS was simulated better. Soil moisture and precipitation controlled NDVI for mean annual precipitation (MAP < 750 mm, and above this, evaporation and mean temperature dominated. A second DFA with the full AVHRR (1982–2010 data found that for MAP < 750 mm, soil moisture and actual evapotranspiration control NDVI dynamics, followed by mean and maximum temperatures. Above 950 mm, actual evapotranspiration and precipitation dominate. The quantification of the combined spatio-temporal environmental drivers of NDVI expands our ability to understand landscape level changes in vegetation evaluated through remote sensing and improves the basis for the management of vulnerable regions, like the southern Africa savannas.

  3. Eclipse Impact on a Remote Sensing Data Set: PAL NDVI 10-Day Composite from February 11 to 20 in 1999 for Western Australia

    Directory of Open Access Journals (Sweden)

    Chai K. Lim

    2010-08-01

    Full Text Available Pathfinder Normalized Difference Vegetation Index (NDVI derived from Channel 1 (Red and Channel 2 (near-infrared of Advanced Very High Resolution Radiometer (AVHRR onboard NOAA 14 became abnormally high for the 10-day composite from February 11 to 20 in 1999 for Western Australia. There was a solar eclipse in the satellite path on February 16 about the same time when NOAA 14 was above the eclipse location, causing the Channel 1 value to be 0 in many cells. The NDVI composite updating rule was to capture the greenest condition of each composite period. There seems to have been a possible lack of quality control during the NDVI composite generation, which could have caused the abnormally high NDVI values. However, there were some cells within the affected area that had values close to normal for NDVI as well as Channel 1 and Channel 2. The abnormal NDVI data values could have been avoided by not using the data obtained during the eclipse in the generation of the composite. Further investigation on those cells which were not affected by the eclipse is suggested for a better quality control of remote sensing data obtained during eclipse occurrences.

  4. Spatio-temporal variability of NDVI-precipitation over southernmost South America: possible linkages between climate signals and epidemics

    Energy Technology Data Exchange (ETDEWEB)

    Tourre, Y M [METEO-France, Meteopole, 42 Avenue Coriolis, 31057 Toulouse Cedex 1 (France); Jarlan, L [Centre d' Etudes Spatiales de la Biosphere (CESBIO), 18 avenue Edouard Belin, F-31401 Toulouse Cedex 4 (France); Lacaux, J-P [Universite Paul Sabatier (UPS), Observatoire Midi Pyrenees (OMP), 12 Avenue Edouard Belin, 31400 Toulouse (France); Rotela, C H [Instituto de Altos Estudios Espaciales ' Mario Gulich' , Comision Nacional de Actividades Espaciales (CONAE), Universidad Nacional de Cordoba (Argentina); Lafaye, M [CNES, DSP/ARP/AV, 18 Avenue Edouard Belin, F-31401 Toulouse Cedex 4 (France)

    2008-10-15

    Climate-environment variability affects the rates of incidence of vector-borne and zoonotic diseases and is possibly associated with epidemics outbreaks. Over southernmost South America the joint spatio-temporal evolution of climate-environment is analyzed for the 1982-2004 period. Detailed mapping of normalized difference vegetation index (NDVI) and rainfall variability are then compared to zones with preliminary epidemiological reports. A significant quasi-biennial signal (2.2- to 2.4-year periods, or QB) for joint NDVI-rainfall variability is revealed. From rotated EOFs, dominant NDVI patterns are partitioned according to their lead frequencies: (1) the 'QB group' (2.1-to 3-year periods) includes six modes over southern Brazil, Uruguay, northern-central Argentina (two modes), the southern Paraguay-northern Argentina border, and the Santa Cruz Province; (2) the QB1 (2.4- to 3-year periods) + quasi-quadrennial (QQ) mode over the Misiones Province; and (3) the QB2 (2.1- to 2.5-year periods) + QQ + inter-annual (IA) (3- to 7-year periods) two modes over south-eastern Argentina. Modes within the 'QB group' are positively correlated with global climate signals and SST. The Uruguayan mode is correlated with global ENSO (8-month lag) whilst the southern Entre-Rios/northern Buenos Aires provinces are correlated with central equatorial Pacific SSTs (3-month lag). The Santa Cruz (Patagonia) Province is most correlated with the Pacific South America (PSA) index and SST patterns (3-month lag) along the Antarctica circumpolar current. The spatial distribution of lead NDVI modes includes the Formosa, Misiones, Chaco and Buenos Aires provinces among others, known for being prone to vector-borne epidemics such as dengue fever, malaria, leishmaniasis (American cutaneous leishmaniasis or ACL), hantivirus, chagas and Argentine hemorrhagic fever (AHF). Some provinces also correspond to regions where lead NDVI PCs' modes are associated with high

  5. Spatio-temporal variability of NDVI-precipitation over southernmost South America: possible linkages between climate signals and epidemics

    Science.gov (United States)

    Tourre, Y. M.; Jarlan, L.; Lacaux, J.-P.; Rotela, C. H.; Lafaye, M.

    2008-10-01

    Climate-environment variability affects the rates of incidence of vector-borne and zoonotic diseases and is possibly associated with epidemics outbreaks. Over southernmost South America the joint spatio-temporal evolution of climate-environment is analyzed for the 1982-2004 period. Detailed mapping of normalized difference vegetation index (NDVI) and rainfall variability are then compared to zones with preliminary epidemiological reports. A significant quasi-biennial signal (2.2- to 2.4-year periods, or QB) for joint NDVI-rainfall variability is revealed. From rotated EOFs, dominant NDVI patterns are partitioned according to their lead frequencies: (1) the 'QB group' (2.1-to 3-year periods) includes six modes over southern Brazil, Uruguay, northern-central Argentina (two modes), the southern Paraguay-northern Argentina border, and the Santa Cruz Province; (2) the QB1 (2.4- to 3-year periods) + quasi-quadrennial (QQ) mode over the Misiones Province; and (3) the QB2 (2.1- to 2.5-year periods) + QQ + inter-annual (IA) (3- to 7-year periods) two modes over south-eastern Argentina. Modes within the 'QB group' are positively correlated with global climate signals and SST. The Uruguayan mode is correlated with global ENSO (8-month lag) whilst the southern Entre-Rios/northern Buenos Aires provinces are correlated with central equatorial Pacific SSTs (3-month lag). The Santa Cruz (Patagonia) Province is most correlated with the Pacific South America (PSA) index and SST patterns (3-month lag) along the Antarctica circumpolar current. The spatial distribution of lead NDVI modes includes the Formosa, Misiones, Chaco and Buenos Aires provinces among others, known for being prone to vector-borne epidemics such as dengue fever, malaria, leishmaniasis (American cutaneous leishmaniasis or ACL), hantivirus, chagas and Argentine hemorrhagic fever (AHF). Some provinces also correspond to regions where lead NDVI PCs' modes are associated with high-frequency climate signals such as the

  6. Sugarcane yield estimates using time series analysis of spot vegetation images Estimativa de produtividade da cana-de-açúcar por meio de séries temporais de imagens spot vegetation

    Directory of Open Access Journals (Sweden)

    Jeferson Lobato Fernandes

    2011-04-01

    Full Text Available The current system used in Brazil for sugarcane (Saccharum officinarum L. crop forecasting relies mainly on subjective information provided by sugar mill technicians and on information about demands of raw agricultural products from industry. This study evaluated the feasibility to estimate the yield at municipality level in São Paulo State, Brazil, using 10-day periods of SPOT Vegetation NDVI images and ECMWF meteorological data. Twenty municipalities and seven cropping seasons were selected between 1999 and 2006. The plant development cycle was divided into four phases, according to the sugarcane physiology, obtaining spectral and meteorological attributes for each phase. The most important attributes were selected and the average yield was classified according to a decision tree. Values obtained from the NDVI time profile from December to January next year enabled to classify yields into three classes: below average, average and above average. The results were more effective for 'average' and 'above average' classes, with 86.5 and 66.7% accuracy respectively. Monitoring sugarcane planted areas using SPOT Vegetation images allowed previous analysis and predictions on the average municipal yield trend.O atual sistema de previsão de safras para a cultura da cana-de-açúcar (Saccharum officinarum L. usado no Brasil depende, em boa parte, de informações subjetivas, baseadas no conhecimento de técnicos do setor sucroalcooleiro e em informações sobre demanda de insumos na cadeia produtiva. Avaliou-se o uso de imagens decendiais de NDVI do sensor SPOT Vegetation e variáveis meteorológicas do modelo do ECMWF para inferir sobre os dados de produtividade oficiais registrados em municípios e safras previamente selecionados. Foram selecionados 20 municípios e sete safras compreendidas entre o período de 1999 e 2006. O ciclo de desenvolvimento da cultura foi dividido em quatro fases, de acordo com a fisiologia, gerando para cada fase atributos

  7. Maize yield and rainfall on different spatial and temporal scales in Southern Brazil Rendimento de milho e chuva em diferentes escalas espaço-temporais no Sul do Brasil

    Directory of Open Access Journals (Sweden)

    Homero Bergamaschi

    2007-05-01

    Full Text Available This study aimed to establish relationships between maize yield and rainfall on different temporal and spatial scales, in order to provide a basis for crop monitoring and modelling. A 16-year series of maize yield and daily rainfall from 11 municipalities and micro-regions of Rio Grande do Sul State was used. Correlation and regression analyses were used to determine associations between crop yield and rainfall for the entire crop cycle, from tasseling to 30 days after, and from 5 days before tasseling to 40 days after. Close relationships between maize yield and rainfall were found, particularly during the reproductive period (45-day period comprising the flowering and grain filling. Relationships were closer on a regional scale than at smaller scales. Implications of the crop-rainfall relationships for crop modelling are discussed.Este trabalho teve como objetivo estabelecer relações entre rendimentos de milho e totais de chuva em diferentes escalas temporais e espaciais, com a finalidade de fornecer bases para modelagem e monitoramento de safras. Utilizou-se uma série de 16 anos de rendimento de milho e dados diários de chuva de 11 municípios e microrregiões do Estado do Rio Grande do Sul. Análises de correlação e regressão foram utilizadas para determinar associações entre rendimento e total de chuva no ciclo do milho, do pendoamento até 30 dias depois, e de 5 dias antes a 40 dias após o pendoamento. Altas relações foram encontradas entre rendimento de milho e chuvas do período reprodutivo, em particular dos 45 dias que englobam florescimento e enchimento de grãos. Essas relações foram mais elevadas em escala regional do que em nível de município. São discutidas implicações das relações clima-chuva para modelagem de cultivos.

  8. Efeito da estimulação acústica contralateral nas medidas temporais das emissões otoacústicas Effect of contralateral acoustic stimulation in temporal measures of otoacoustic emissions

    Directory of Open Access Journals (Sweden)

    Vanessa Nogueira Leme

    2009-01-01

    Full Text Available OBJETIVO: comparar o nível de resposta e o tempo de latência das emissões otoacústicas sem e com apresentação de ruído contralateral. MÉTODOS: foram avaliados 30 indivíduos, com idade entre 18 e 30 anos, sem queixas auditivas e com presença de emissões otoacústicas por produto de distorção. Analisou-se o nível de resposta e latência das emissões otoacústicas por meio do programa Latencygram, com e sem apresentação de ruído contralateral tipo "White noise". RESULTADOS: houve diminuição significante nos níveis de resposta das emissões otoacústicas com apresentação de ruído contralateral, confirmando o efeito de supressão relacionado com a ação do sistema eferente; contudo, não houve diferença significante nos valores de latência das emissões otoacústicas. CONCLUSÃO: o sistema eferente atua apenas na modulação dos níveis de resposta das emissões otoacústicas, contudo não interfere nas medidas temporais das mesmas.PURPOSE: compare the otoacoustic emissions response level and latency in two situations: with and without contralateral competitive noise. METHODS: thirty individuals between eighteen and thirty-year-old, with no auditory complaints and presence of otoacoustic distortion product emissions were evaluated. The latency and the response level of otoacoustic emissions was evaluated using the Latencygram program. The test was performed in two different situations: with and without contralateral competitive white noise. RESULTS: the results demonstrated a significant reduction in otoacoustic emissions response levels with contralateral noise, proving the otoacoustic suppression effect associated with olivocochlear efferent system action. However, there was no significant difference in otoacoustic emissions latency. CONCLUSION: the efferent system may act only in otoacoustic emissions response level modulation but it does not interfere in otoacoustic emissions latency.

  9. Poluição do ar e doenças respiratórias e cardiovasculares: estudo de séries temporais em Cubatão, São Paulo, Brasil

    Directory of Open Access Journals (Sweden)

    Adelaide Cassia Nardocci

    2013-09-01

    Full Text Available Foi avaliado o impacto da poluição do ar nas internações por doenças respiratórias e cardiovasculares em residentes do Município de Cuba-tão, São Paulo, Brasil. Utilizaram-se modelos de séries temporais, com modelos aditivos generalizados, em regressão de Poisson, testando como variáveis independentes as concentrações diárias de material particulado (PM10; dióxido de enxofre (SO2 e o ozônio (O3. Como variáveis de controle a temperatura, umidade, dias da semana e feriados. Para cada incremento de 10µg/m³ de PM10, encontrou-se um excesso de internações de 4,25% (IC95%: 2,82; 5,71; 5,74% (IC95%: 3,80; 7,71 e 2,29% (IC95%: 0,86; 3,73 para doenças respiratórias totais, doenças respiratórias em menores de 5 anos e doenças cardiovasculares em maiores de 39 anos, respectivamente. O SO2 apresentou relação com as doenças cardiovasculares em maiores de 39 anos de 3,51% (IC95%: 1,24; 5,83 e o O3 com as doenças cardiovasculares em maiores de 39 anos: 2,85% (IC95%: 0,77; 4,98 e doenças respiratórias em menores de 5 anos: 3,91% (IC95%: 1,37; 6,51. Os efeitos da poluição atmosférica na saúde em Cubatão são pronunciados, indicando a necessidade de melhoria das políticas de controle.

  10. Spatial and Temporal Variation in Primary Productivity (NDVI) of Coastal Alaskan Tundra: Decreased Vegetation Growth Following Earlier Snowmelt

    Science.gov (United States)

    Gamon, John A.; Huemmrich, K. Fred; Stone, Robert S.; Tweedie, Craig E.

    2015-01-01

    In the Arctic, earlier snowmelt and longer growing seasons due to warming have been hypothesized to increase vegetation productivity. Using the Normalized Difference Vegetation Index (NDVI) from both field and satellite measurements as an indicator of vegetation phenology and productivity, we monitored spatial and temporal patterns of vegetation growth for a coastal wet sedge tundra site near Barrow, Alaska over three growing seasons (2000-2002). Contrary to expectation, earlier snowmelt did not lead to increased productivity. Instead, productivity was associated primarily with precipitation and soil moisture, and secondarily with growing degree days, which, during this period, led to reduced growth in years with earlier snowmelt. Additional moisture effects on productivity and species distribution, operating over a longer time scale, were evident in spatial NDVI patterns associated with microtopography. Lower, wetter regions dominated by graminoids were more productive than higher, drier locations having a higher percentage of lichens and mosses, despite the earlier snowmelt at the more elevated sites. These results call into question the oft-stated hypothesis that earlier arctic growing seasons will lead to greater vegetation productivity. Rather, they agree with an emerging body of evidence from recent field studies indicating that early-season, local environmental conditions, notably moisture and temperature, are primary factors determining arctic vegetation productivity. For this coastal arctic site, early growing season conditions are strongly influenced by microtopography, hydrology, and regional sea ice dynamics, and may not be easily predicted from snowmelt date or seasonal average air temperatures alone. Our comparison of field to satellite NDVI also highlights the value of in-situ monitoring of actual vegetation responses using field optical sampling to obtain detailed information on surface conditions not possible from satellite observations alone.

  11. Preliminary analysis on the relationships between Tibetan Plateau NDVI change and its surface heat source and precipitation of China

    Institute of Scientific and Technical Information of China (English)

    HUA Wei; FAN GuangZhou; ZHOU DingWen; NI ChangJian; LI XueMin; WANG YongLi; LIU YaQin; HUANG XianLun

    2008-01-01

    Using the automatic weather station data obtained from the Tibetan Plateau (TP), the normalized dif-ference vegetation index and the monthly precipitation data of China and by the methods of correlation and composite analysis, preliminary analytical results are achieved concerning the relationships be-tween TP NDVI change and its surface heat source and precipitation of China. The results of our re-search may lead to the following conclusions: (1) A positive correlation relationship exists between TP NDVI change and its surface heat source, including the sensible heat and the latent heat. As to the correlation of the former, it is more remarkable in western TP than in eastern TP, and as to the correla-tion of the latter, however it turns out contrary. (2) With the improvement of TP vegetation, its surface heat source of every season is also mainly reinforced, especially in summer. As to the contribution of the sensible heat and the latent heat to the increment of the TP surface heat source intensity, the for-mer is comparatively more significant than the latter in winter and spring, while in summer and autumn, the two have almost the same importance. (3) The correlation coefficient between summer NDVI over TP and the corresponding period precipitation of China displays a belt distribution of "+-+" from south to north China. (4) Anomalous surface heating field over TP derived from vegetation change is probably an important factor to affect summer precipitation of China.keywords Tibetan Plateau, vegetation change, surface heat source, precipitation of China.

  12. Analysis of NDVI-rainfall relationships reveals vegetation structure and ANPP dynamics in a Chihuahuan grassland-shrubland ecotone

    Science.gov (United States)

    Moreno de las Heras, Mariano; Diaz-Sierra, Ruben; Turnbull, Laura; Wainwright, John

    2015-04-01

    Shrub encroachment is perceived as a symptom of land degradation in the American Southwest, where large areas of grasslands dominated by black and blue grama have transitioned over the last 150 years to shrublands dominated by woody species (mainly creosotebush and mesquite), accompanied by accelerated water and wind erosion. In this study, simulations of plant biomass dynamics indicate that herbaceous and shrub vegetation in drylands have different responses to antecedent precipitation due to functional differences in plant growth and water-use patterns, and therefore shrub encroachment may be reflected in the analysis of landscape-scale vegetation-rainfall relationships. We analyze the structure and dynamics of vegetation at an 18-km2 grassland-shrubland ecotone in the northern edge of the Chihuahuan Desert (Sevilleta National Wildlife Refuge, New Mexico, USA) by investigating the relationship between 2000-13 records of remotely sensed MODIS NDVI and precipitation. Spatial analysis of NDVI-rainfall relationships at the studied ecotone indicates that herbaceous vegetation shows quick growth pulses associated with short-term (previous 2 months) precipitation, while shrubs show a slow response to medium-term (previous 5 months) precipitation. We use these relationships to (a) classify landscape types as a function of the spatial distribution of dominant vegetation, and (b) decompose the NDVI signal into partial primary production components for herbaceous vegetation and shrubs across the study site. We further apply remote-sensed annual net primary production (ANPP) estimations and landscape-type classification to explore the influence of inter-annual variations in seasonal precipitation on the production of herbaceous and shrub vegetation. Our results suggest that changes in the amount and temporal pattern of precipitation comprising reductions in monsoonal summer rainfall and/or increases in winter precipitation may enhance the shrub-encroachment process in the

  13. Temporal and spatial analysis of vegetation coverage changes in Ordos area based on time series GIMMS-NDVI data

    Science.gov (United States)

    Han, Ruimei; Zou, Youfeng; Ma, Chao; Liu, Pei

    2014-11-01

    Ordos area is the desert-wind erosion desertification steppe transition zone and the complex ecological zone. As the research area, Ordos City has the similar natural geographic environment to ShenDong coalfield. To research its ecological patterns and natural evolution law, it has instructive to reveal temporal and spatial changes of ecological environment with artificial disturbance in western mining. In this paper, a time series of AVHRR-NDVI(Normalized Difference Vegetation Index) data was used to monitor the change of vegetation temporal and spatial dynamics from 1981 to 2006 in Ordos City and ShenDong coalfield, where were as the research area. The MVC (Maximum Value Composites) method, average operation, linear regression, and gradation for NDVI change trend were used to obtained some results, as follows: ¬vegetation coverage had obvious characteristics with periodic change in research area for 26 years, and vegetation growth peak appeared on August, while the lowest appeared on January. The extreme values in Ordos City were 0.2351 and 0.1176, while they were 0.2657 and 0.1272 in ShenDong coalfield. The NDVI value fluctuation was a modest rise trend overall in research area. The extreme values were 0.3071 and 0.1861 in Ordos City, while they were 0.3454 and 0.1904 in ShenDong coalfield. In spatial distribution, slight improvement area and slight degradation area were accounting for 42.49% and 8.37% in Ordos City, while slight improvement area moderate improvement area were accounting for 70.59% and 29.41% in ShenDong coalfield. Above of results indicated there was less vegetation coverage in research area, which reflected the characteristics of fragile natural geographical environment. In addition, vegetation coverage was with a modest rise on the whole, which reflected the natural environment change.

  14. Análise de séries temporais em epidemiologia: uma introdução sobre os aspectos metodológicos Time series analysis in epidemiology: an introduction to methodological aspects

    Directory of Open Access Journals (Sweden)

    Maria do Rosário Dias de Oliveira Latorre

    2001-11-01

    Full Text Available Este é um artigo introdutório sobre análise de séries temporais, onde se pretende apresentar, de maneira sumária, alguns modelos estatísticos mais utilizados em análise de séries temporais . Uma série temporal, também denominada série histórica, é uma seqüência de dados obtidos em intervalos regulares de tempo durante um período específico. Na análise de uma série temporal, primeiramente deseja-se modelar o fenômeno estudado para, a partir daí, descrever o comportamento da série, fazer estimativas e, por último, avaliar quais os fatores que influenciaram o comportamento da série, buscando definir relações de causa e efeito entre duas ou mais séries. Para tanto, há um conjunto de técnicas estatísticas disponíveis que dependem do modelo definido (ou estimado para a série, bem como do tipo de série analisada e do objetivo do trabalho. Para analise de tendências, podem se ajustar modelos de regressão polinomial baseados na série inteira ou em vizinhança de um determinado ponto. Isso também pode ser realizado com funções matemáticas. Define-se como um fenômeno sazonal aquele que ocorre regularmente em períodos fixos de tempo e, se existir sazonalidade dita determinística na série, podem-se utilizar modelos de regressão que incorporem funções do tipo seno ou cosseno à variável tempo. Os modelos auto-regressivos formam outra classe de modelos. Na análise do comportamento de uma série histórica livre de tendência e de sazonalidade podem ser utilizados modelos auto-regressivos (AR ou que incorporem médias móveis (ARMA. Quando há tendência, utilizam-se os modelos auto-regressivos integrados de médias móveis (ARIMA e, para incorporar o componente de sazonalidade, utilizam-se os modelos SARIMA. Por último há os modelos lineares generalizados. Neste grupo de modelos estatísticos, a variável resposta é um processo de contagem e as variáveis independentes são variáveis candidatas a explicar o

  15. Relation of NDVI obtained from different remote sensing at different space and resolutions sensors in Spanish Dehesas

    Science.gov (United States)

    Escribano Rodríguez, Juan; Tarquis, Ana M.; Saa-Requejo, Antonio; Díaz-Ambrona, Carlos G. H.

    2015-04-01

    Satellite data are an important source of information and serve as monitoring crops on large scales. There are several indexes, but the most used for monitoring vegetation is NDVI (Normalized Difference Vegetation Index), calculated from the spectral bands of red (RED) and near infrared (NIR), obtaining the value according to relationship: [(NIR - RED) / (NIR + RED)]. During the years 2010-2013 monthly monitoring was conducted in three areas of Spain (Salamanca, Caceres and Cordoba). Pasture plots were selected and satellite images of two different sensors, DEIMOS-1 and MODIS were obtained. DEIMOS-1 is based on the concept Microsat-100 from Surrey. It is designed for imaging the Earth with a resolution good enough to study terrestrial vegetation cover (20x20 m), although with a wide range of visual field (600 km) to get those images with high temporal resolution. By contrast, MODIS images present a much lower spatial resolution (500x500 m). Indices obtained from both sensors to the same area and date are compared and the results show r2 = 0.56; r2 = 0.65 and r2 = 0.90 for the areas of Salamanca, Cáceres and Cordoba respectively. According to the results obtained show that the NDVI obtained by MODIS is slightly larger than that obtained by the sensor for DEIMOS for same time and area. References J.A. Escribano, C.G.H. Diaz-Ambrona, L. Recuero, M. Huesca, V. Cicuendez, A. Palacios-Orueta y A.M. Tarquis. Aplicacion de Indices de Vegetacion para evaluar la falta de produccion de pastos y montaneras en dehesas. I Congreso Iberico de la Dehesa y el Montado. 6-7 Noviembre, 2013, Badajoz. J.A. Escribano Rodriguez, A.M. Tarquis, C.G. Hernandez Diaz-Ambrona. Pasture Drought Insurance Based on NDVI and SAVI. Geophysical Research Abstracts, 14, EGU2012-13945, 2012. EGU General Assembly 2012. Juan Escribano Rodriguez, Carmelo Alonso, Ana Maria Tarquis, Rosa Maria Benito, Carlos Hernandez Diaz-Ambrona. Comparison of NDVI fields obtained from different remote sensors

  16. NDVI Variation of Tree Rings between March and May since 1915 in the Eastern Part of the Qilian Mountains of China

    Institute of Scientific and Technical Information of China (English)

    Yajun WANG; Ruijie LU; Hongwei MENG; Yanli SANG

    2013-01-01

    [Objective] The aim was to analyze the correlation between tree-ring width of Picea crassifolia in the east of Qilian Mountains and the precipitation,temperature and the normalized difference vegetation index (NDVI).[Method] The correlation analysis and the regression analysis were used in this study.[Result] The tree-ring width was significantly correlated with the autumn precipitation and the spring average NDVI.The conversion equation between tree-ring width and spring NDVI (R2=48.5%,R2ad=46.2%,F=21.627,P<0.001) was developed and NDVI sequence was reconstructed during the period 1915-2007.The drought in the 1920s was pronounced.Vegetation cover in the Qilian Mountains increased during the period 1922-1934,1940-1957,1965-1969,1984-1988 and 1995-1997,but decreased during 1935-1939,1958-1964,1970-1983,1989-1994 and 1998-2005.[Conclusion]The reconstructed NDVI showed the drought evolution in the study area.

  17. Assessment of Regional Vegetation Response to Climate Anomalies: A Case Study for Australia Using GIMMS NDVI Time Series between 1982 and 2006

    Directory of Open Access Journals (Sweden)

    Wanda De Keersmaecker

    2017-01-01

    Full Text Available Within the context of climate change, it is of utmost importance to quantify the stability of ecosystems with respect to climate anomalies. It is well acknowledged that ecosystem stability may change over time. As these temporal stability changes may provide a warning for increased vulnerability of the system, this study provides a methodology to quantify and assess these temporal changes in vegetation stability. Within this framework, vegetation stability changes were quantified over Australia from 1982 to 2006 using GIMMS NDVI and climate time series (i.e., SPEI (Standardized Precipitation and Evaporation Index. Starting from a stability assessment on the complete time series, we aim to assess: (i the magnitude and direction of stability changes; and (ii the similarity in these changes for different stability metrics, i.e., the standard deviation of the NDVI anomaly (SD, auto-correlation at lag one of the NDVI anomaly (AC and the correlation of NDVI anomaly with SPEI (CS. Results show high variability in magnitude and direction for the different stability metrics. Large areas and types of Australian vegetation showed an increase in variability (SD over time; however, vegetation memory (AC decreased. The association of NDVI anomalies with drought events (CS showed a mixed response: the association increased in the western part, while it decreased in the eastern part. This methodology shows the potential for quantifying vegetation responses to major climate shifts and land use change, but results could be enhanced with higher resolution time series data.

  18. Pattern of NDVI-based vegetation greening along an altitudinal gradient in the eastern Himalayas and its response to global warming.

    Science.gov (United States)

    Li, Haidong; Jiang, Jiang; Chen, Bin; Li, Yingkui; Xu, Yuyue; Shen, Weishou

    2016-03-01

    The eastern Himalayas, especially the Yarlung Zangbo Grand Canyon Nature Reserve (YNR), is a global hotspot of biodiversity because of a wide variety of climatic conditions and elevations ranging from 500 to > 7000 m above sea level (a.s.l.). The mountain ecosystems at different elevations are vulnerable to climate change; however, there has been little research into the patterns of vegetation greening and their response to global warming. The objective of this paper is to examine the pattern of vegetation greening in different altitudinal zones in the YNR and its relationship with vegetation types and climatic factors. Specifically, the inter-annual change of the normalized difference vegetation index (NDVI) and its variation along altitudinal gradient between 1999 and 2013 was investigated using SPOT-VGT NDVI data and ASTER global digital elevation model (GDEM) data. We found that annual NDVI increased by 17.58% in the YNR from 1999 to 2013, especially in regions dominated by broad-leaved and coniferous forests at lower elevations. The vegetation greening rate decreased significantly as elevation increased, with a threshold elevation of approximately 3000 m. Rising temperature played a dominant role in driving the increase in NDVI, while precipitation has no statistical relationship with changes in NDVI in this region. This study provides useful information to develop an integrated management and conservation plan for climate change adaptation and promote biodiversity conservation in the YNR.

  19. Response to climate change of different tree species and NDVI variation since 1923 in the middle arid region of Ningxia, China

    Institute of Scientific and Technical Information of China (English)

    YaJun Wang; RuiJie Lu; YuZhen Ma; HongWei Meng; ShangYu Gao

    2014-01-01

    The normalized difference vegetation index (NDVI) is used extensively to describe vegetation cover and ecological environ-ment change. The purpose of this study was to contrast the response of different tree species growing in the same habitat to climate change and retrieve past NDVI using tree-ring width data from tree cores collected from the transitional zone of Pinus tabulaeformis and Picea crassifolia in the Luoshan Mountains in the middle arid region of Ningxia. Correlation analysis indi-cated that radial growth of P. tabulaeformis is more sensitive to precipitation and temperature change than that of P. crassifolia. Natural factors such as water availability and heat at this elevation are more suited to the growth of P. crassifolia, and are more advantageous to its renewal and succession. P. crassifolia is probably the better of the two species for protecting the forest ecosystem and conserving water in the Luoshan desertification area. Ring width of P. crassifolia correlates significantly with average NDVI for April-May (r=0.641, p<0.01), and both of them are influenced positively by precipitation in April-May. The reconstructed NDVI for 1923-2007 shows the relatively low vegetation cover occurred in the 1920s-1930s, the 1960s-1970s, and the early 21st century. The reconstructed NDVI better reflected the drought climate in the study area.

  20. Monitoring the Sequential Cropping Index of Arable Land in Zhejiang Province of China Using MODIS-NDVI

    Institute of Scientific and Technical Information of China (English)

    PENG Dai-liang; HUANG Jing-feng; JIN Hui-min

    2007-01-01

    The sequential cropping index of arable land is important agricultural information. The aim of this article is to monitor and analyze the parameter, and offer reference for agricultural production. The cropping index of arable land in Zhejiang Province, China from 2001 to 2004 was calculated using the second order difference based MODIS (moderate resolution imagine spectroradimeter) vegetation data from NASA (National Aeronautic and Space Administration) in America and the land use map with a scale of 1:25 000. It was found that the peak of the time series of the NDVI curve indicated that the ground biomass of crops reached the maximum, and fluctuated with the crops growing processes such as sowing,seeding, heading, ripeness, and harvesting within one year. Thus, the sequential cropping index was defined as the number of peaks of the time series of the NDVI curve. The sequential cropping index of all cities in Zhejiang Province,China was worked out. It is seen from the spatial distribution that the cropping index in the southwest Zhejiang Province is larger than that in the northeast. As for the temporal distribution, the sequential cropping index decreased from 2001 to 2003, whereas it increased slightly from 2003 to 2004. However, the index of arable land was relatively low, as far as the geographic position and climatic resource were concerned, and the potential of the sequential cropping index was great.

  1. Calibration of remotely sensed, coarse resolution NDVI to CO2 fluxes in a sagebrush-steppe ecosystem

    Science.gov (United States)

    Wylie, B.K.; Johnson, D.A.; Laca, Emilio; Saliendra, Nicanor Z.; Gilmanov, T.G.; Reed, B.C.; Tieszen, L.L.; Worstell, B.B.

    2003-01-01

    The net ecosystem exchange (NEE) of carbon flux can be partitioned into gross primary productivity (GPP) and respiration (R). The contribution of remote sensing and modeling holds the potential to predict these components and map them spatially and temporally. This has obvious utility to quantify carbon sink and source relationships and to identify improved land management strategies for optimizing carbon sequestration. The objective of our study was to evaluate prediction of 14-day average daytime CO2 fluxes (Fday) and nighttime CO2 fluxes (Rn) using remote sensing and other data. Fday and Rn were measured with a Bowen ratio-energy balance (BREB) technique in a sagebrush (Artemisia spp.)-steppe ecosystem in northeast Idaho, USA, during 1996-1999. Micrometeorological variables aggregated across 14-day periods and time-integrated Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (iNDVI) were determined during four growing seasons (1996-1999) and used to predict Fday and Rn. We found that iNDVI was a strong predictor of Fday (R2 = 0.79, n = 66, P Elsevier Science Inc. All rights reserved.

  2. Effect of Sensitivity Improvement of Visible to NIR Digital Cameras on NDVI Measurements in Particular for Agricultural Field Monitoring

    Directory of Open Access Journals (Sweden)

    Kohei Arai

    2015-12-01

    Full Text Available Effect of sensitivity improvement of Near Infrared: NIR digital cameras on Normalized Difference Vegetation Index: NDVI measurements in particular for agricultural field monitoring is clarified. Comparative study is conducted between sensitivity improved visible to near infrared camera of CuInGaSe: CIGS and the conventional camera. Signal to Noise: S/N ratio and sensitivity are evaluated with NIR camera data which are acquired in tea farm areas and rice paddy fields. From the experimental results, it is found that S/N ratio of the conventional digital camera with NIR wavelength coverage is better than CIGS utilized image sensor while the sensitivity of the CIGS image sensor is much superior to that of the conventional camera. Also, it is found that NDVI derived from the CIGS image sensor is much better than that from the conventional camera due to the fact that the sensitivity of the CIGS image sensor in red color wavelength region is much better than that of the conventional camera.

  3. Future Climate Impact on the Desertification in the Dry Land Asia Using AVHRR GIMMS NDVI3g Data

    Directory of Open Access Journals (Sweden)

    Lijuan Miao

    2015-04-01

    Full Text Available Dry Land Asia is the largest arid and semi-arid region in the northern hemisphere that suffers from land desertification. Over the period 1982–2011, there were both overall improvement and regional degeneration in the vegetation NDVI. We analyze future climate changes in these area using two ensemble-average methods from CMIP5 data. Bayesian Model Averaging shows a better capability to represent the future climate and less uncertainty represented by the 22-model ensemble than does the Simple Model Average. From 2006 to 2100, the average growing season temperature value will increase by 2.9 °C, from 14.4 °C to 17.3 °C under three climate scenarios (RCP 26, RCP 45 and RCP 85. We then conduct multiple regression analysis between climate changes compiled from the Climate Research Unit database and vegetation greenness from the GIMMS NDVI3g dataset. There is a general acceleration in the desertification trend under the RCP 85 scenario in middle and northern part of Middle Asia, northwestern China except Xinjiang and the Mongolian Plateau (except the middle part. The RCP 85 scenario shows a more severe desertification trend than does RCP 26. Desertification in dry land Asia, particularly in the regions highlighted in this study, calls for further investigation into climate change impacts and adaptations.

  4. Assessing the consistency between AVHRR and MODIS NDVI datasets for estimating terrestrial net primary productivity over India

    Indian Academy of Sciences (India)

    R K Nayak; N Mishra; V K Dadhwal; N R Patel; M Salim; K H Rao; C B S Dutt

    2016-08-01

    This study examines the consistency between the AVHRR and MODIS normalized difference vegetation index (NDVI) datasets in estimating net primary productivity (NPP) and net ecosystem productivity (NEP) over India during 2001–2006 in a terrestrial ecosystem model. Harmonic analysis is employed to estimate seasonal components of the time series. The stationary components (representing long-termmean) of the respective NDVI time series are highly coherent and exhibit inherent natural vegetation characteristics with high values over the forest, moderate over the cropland, and small over the grassland. Both data exhibit strong semi-annual oscillations over the cropland dominated Indo-Gangetic plains while annual oscillations are strong over most parts of the country. MODIS has larger annual amplitude than that of the AVHRR. The similar variability exists on the estimates of NPP and NEP across India. In an annual scale, MODIS-based NPP budget is 1.78 PgC, which is 27% higher than the AVHRR-based estimate. It revealed that the Indian terrestrial ecosystem remained the sink of atmospheric CO$_2$during the study period with 42 TgC y$^{−1}$ NEP budget associated with MODIS-based estimate against 18 TgC y$^{−1}$ for the AVHRR-based estimate.

  5. ASSESSING DROUGHT SEVERITY AND ITS IMPACT ON VEGETATION WITHIN OLTENIA PLAIN USING NDVI FROM MODIS (2000-2010

    Directory of Open Access Journals (Sweden)

    IRINA ONȚEL

    2014-05-01

    Full Text Available Assessing drought severity and its impact on vegetation within Oltenia Plain using NDVI from MODIS (2000-2010. Remote sensing is often used for detecting seasonal vegetation changes, treating a phenomenon both from a spatial and temporal perspective. Regional assessment of the drought has a huge importance in future studies and measures taken in order to diminish its negative effects in the agricultural sector. Considering this fact as a premise, the primary objective of our study aims at observing the impact on the vegetation of the wellknown and, probably, the most severe meteorological risk in Oltenia Plain, the drought, using the NDVI analysis and several drought indexes and correlations. At the same time, one of our goals was to see the characteristic periods of the drought by consulting the effects it has over the vegetation. Although a lot of work has been devoted to examining the drought on a temporal and spatial scale, the results were conclusive, showing a direct relation between the values of the rainfall and the phenological state of the vegetation. Our interest was accomplished via a multi-indices assessment of the drought impact, according to which, the binome vegetation – humidity proved to be the best way to estimate the drought periods in Oltenia Plain, as well as drought exposure and vulnerability.

  6. Assessing Habitat Quality of Forest-Corridors through NDVI Analysis in Dry Tropical Forests of South India: Implications for Conservation

    Directory of Open Access Journals (Sweden)

    Paramesha Mallegowda

    2015-02-01

    Full Text Available Most wildlife habitats and migratory routes are extremely threatened due to increasing demands on forestland and forest resources by burgeoning human population. Corridor landscape in Biligiri Rangaswamy Temple Tiger Reserve (BRT is one among them, subjected to various anthropogenic pressures. Human habitation, intensive farming, coffee plantations, ill-planned infrastructure developments and rapid spreading of invasive plant species Lantana camara, pose a serious threat to wildlife habitat and their migration. Aim of this work is to create detailed NDVI based land change maps and to use them to identify time-series trends in greening and browning in forest corridors in the study area and to identify the drivers that are influencing the observed changes. Over the four decades in BRT, NDVI increased in the core area of the forest and reduced in the fringe areas. The change analysis between 1973 and 2014 shows significant changes; browning due to anthropogenic activities as well as natural processes and greening due to Lantana spread. This indicates that the change processes are complex, involving multiple driving factors, such as socio-economic changes, high population growth, historical forest management practices and policies. Our study suggests that the use of updated and accurate change detection maps will be useful in taking appropriate site specific action-oriented conservation decisions to restore and manage the degraded critical wildlife corridors in human-dominated landscape.

  7. Does EO NDVI seasonal metrics capture variations in species composition and biomass due to grazing in semi-arid grassland savannas?

    Science.gov (United States)

    Olsen, J. L.; Miehe, S.; Ceccato, P.; Fensholt, R.

    2015-07-01

    Most regional scale studies of vegetation in the Sahel have been based on Earth observation (EO) imagery due to the limited number of sites providing continuous and long term in situ meteorological and vegetation measurements. From a long time series of coarse resolution normalized difference vegetation index (NDVI) data a greening of the Sahel since the 1980s has been identified. However, it is poorly understood how commonly applied remote sensing techniques reflect the influence of extensive grazing (and changes in grazing pressure) on natural rangeland vegetation. This paper analyses the time series of Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI metrics by comparing it with data from the Widou Thiengoly test site in northern Senegal. Field data include grazing intensity, end of season standing biomass (ESSB) and species composition from sizeable areas suitable for comparison with moderate - coarse resolution satellite imagery. It is shown that sampling plots excluded from grazing have a different species composition characterized by a longer growth cycle as compared to plots under controlled grazing or communal grazing. Also substantially higher ESSB is observed for grazing exclosures as compared to grazed areas, substantially exceeding the amount of biomass expected to be ingested by livestock for this area. The seasonal integrated NDVI (NDVI small integral; capturing only the signal inherent to the growing season recurrent vegetation), derived using absolute thresholds to estimate start and end of growing seasons, is identified as the metric most strongly related to ESSB for all grazing regimes. However plot-pixel comparisons demonstrate how the NDVI/ESSB relationship changes due to grazing-induced variation in annual plant species composition and the NDVI values for grazed plots are only slightly lower than the values observed for the ungrazed plots. Hence, average ESSB in ungrazed plots since 2000 was 0.93 t ha-1, compared to 0.51 t ha-1 for

  8. Monitoring of vegetation condition using the NDVI/ENSO anomalies in Central Asia and their relationships with ONI (very strong) phases

    Science.gov (United States)

    Aralova, Dildora; Toderich, Kristina; Jarihani, Ben; Gafurov, Dilshod; Gismatulina, Liliya

    2016-10-01

    An investigation of temporal dynamics of El Niño-Southern Oscillation (ENSO) and spatial patterns of dryness/wetness period over arid and semi-arid zones of Central Asia and their relationship with Normalized Difference Vegetation Index (NDVI) values (1982-2011) have explored in this article. For identifying periodical oscillations and their relationship with NDVI values have selected El Nino 3.4 index and thirty years of new generation bi-weekly NDVI 3g acquired by the Advanced Very High Resolution Radiometer (AVHRR) satellites time-series data. Based on identification ONI (Oceanic Nino Index) is a very strong El Nino (warm) anomalies observed during 1982-1983, 1997-1998 and very strong La Nino (cool) period events have observed 1988-1989 years. For correlation these two factors and seeking positive and negative trends it has extracted from NDVI time series data as "low productivity period" following years: 1982-1983, 1997 -1998; and as "high productivity period" following years: 1988 -1989. Linear regression observed warm events as moderate phase period selected between moderate El Nino (ME) and NDVI with following periods:1986-1987; 1987-1988; 1991-1992; 2002-2003; 2009-2010; and moderate La Niña (ML) periods and NDVI (1998-1999; 1999-2000; 2007-2008) which has investigated a spatial patterns of wetness conditions. The results indicated that an inverse relationship between very strong El Nino and NDVI, decreased vegetation response with larger positive ONI value; and direct relationship between very strong La Niña and NDVI, increased vegetation response with smaller negative ONI value. Results assumed that significant impact of these anomalies influenced on vegetation productivity. These results will be a beneficial for efficient rangeland/grassland management and to propose drought periods for assessment and reducing quantity of flocks' due to a lack of fodder biomass for surviving livestock flocks on upcoming years in rangelands. Also results demonstrate

  9. Spatio-temporal changes of NDVI and its relation with climatic variables in the source regions of the Yangtze and Yellow rivers

    Institute of Scientific and Technical Information of China (English)

    YANG Zhaoping; GAO Jixi; ZHOU Caiping; SHI Peili; ZHAO Lin; SHEN Wenshou; OUYANG Hua

    2011-01-01

    The source regions of the Yangtze and Yellow rivers are important water conservation areas of China.In recent years,ecological deterioration trend of the source regions caused by global climate change and unreasonable resource development increased gradually.In this paper,the spatial distribution and dynamic change of vegetation cover in the source regions of the Yangtze and Yellow rivers are analyzed in recent 10 years based on 1-km resolution multi-temporal SPOTVGT-DN data from 1998 to 2007.Meanwhile,the correlation relationships between air temperature,precipitation,shallow ground temperature and NDVl,which is 3×3 pixel at the center of Wudaoliang,Tuotuohe,Qumalai,Maduo,and Dari meteorological stations were analyzed.The results show that the NDVI values in these two source regions are increasing in recent 10 years.Spatial distribution of NDVl which was consistent with hydrothermal condition decreased from southeast to northwest of the source regions.NDVl with a value over 0.54 was mainly distributed in the southeastern source region of the Yellow River,and most NDVI values in the northwestern source region of the Yangtze River were less than 0.22.Spatial changing trend of NDVI has great difference and most parts in the source regions of the Yangtze and Yellow rivers witnessed indistinct change.The regions with marked increasing trend were mainly distributed on the south side of the Tongtian River,some part of Keqianqu,Tongtian,Chumaer,and Tuotuo rivers in the source region of the Yangtze River and Xingsuhai,and southern Dari county in the source region of the Yellow River.The regions with very marked increasing tendency were mainly distributed on the south side of Tongtian Rriver and sporadically distributed in hinterland of the source region of the Yangtze River.The north side of Tangula Range in the source region of the Yangtze River and Dari and Maduo counties in the source region of the Yellow River were areas in which NDVI changed with marked decreasing

  10. Preditores espaço-temporais do andar para testes de capacidade funcional em pacientes com doença de Parkinson Gait spatial and temporal predictors for functional capacity tests in Parkinson's disease patients

    Directory of Open Access Journals (Sweden)

    MDR Sánchez-Arias

    2008-10-01

    Full Text Available OBJETIVOS: Determinar quais parâmetros espaço-temporais são preditores do andar de indivíduos com doença de Parkinson idiopática para os testes de resistência aeróbia e agilidade, propostos pela bateria de testes da American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD. MATERIAIS E MÉTODOS: Foram selecionados seis homens e seis mulheres com comprometimento e estágio da doença em níveis leve e moderado, que realizaram os testes de agilidade e resistência aeróbia, conforme o protocolo da AAHPERD, e andaram 8m sobre uma passarela. Uma câmera digital registrou uma passada central. Marcadores foram fixados no quinto metatarso e na face lateral do calcâneo do membro inferior direito e no primeiro metatarso e na face medial do calcâneo do membro inferior esquerdo. As variáveis dependentes selecionadas foram: tempo nos testes de agilidade e resistência e as variáveis cinemáticas (comprimento da passada - CP, cadência - CAD, duração da passada - DP, duração da fase de duplo suporte - DDS, duração do suporte simples - SS, duração da fase de balanço - DB e velocidade da passada - VP. RESULTADOS: Para agilidade, o teste de Pearson apontou correlação estatisticamente significativa entre as variáveis CP (r=-0,70; pOBJECTIVE: To determine which spatial and temporal parameters are predictors of the gait pattern of individuals with idiopathic Parkinson's disease, for the aerobic endurance and agility tests included in the battery of tests of the AAHPERD protocol. METHODS: Six men and six women with mild and moderate impairment and disease stage were selected. They performed agility and aerobic endurance test in accordance with the AAHPERD protocol, and walked 8 m on a walkway. A digital video camera recorded one central stride. Markers were attached to the fifth metatarsal and lateral face of the calcaneus of the right leg and to the first metatarsal and medial face of the calcaneus of the left leg. The

  11. Variações espaço-temporais no estoque de sementes do solo na floresta amazônica Space-time variations in soil seed stock in an amazon rainforest

    Directory of Open Access Journals (Sweden)

    Niwton Leal Filho

    2013-09-01

    Full Text Available A dispersão eficiente, a longevidade e a capacidade das sementes de permanecer em estado latente a espera de condições adequadas de germinação no banco de sementes do solo da floresta garantem a presença de espécies arbóreas pioneiras nas áreas perturbadas. As variações estacionais e espaciais na densidade e na composição florística do banco de sementes em Florestas Tropicais Úmidas são assuntos ainda pouco compreendidos. Este trabalho verificou a existência de modificações espaço-temporais do banco de sementes presente em áreas de Floresta Tropical úmida localizadas próximas a Manaus, AM. Em cada uma das seis áreas estudadas, foram coletadas 40 amostras circulares de solo superficial (10 cm de diâmetro e 2 cm de profundidade ao acaso. Essas amostras foram coletadas a cada dois meses, entre agosto/2004 e junho/2005,. As amostras de solo foram distribuídas em bandejas em casa de vegetação e a emergência das sementes presentes no solo foi acompanhada por 4 meses. Houve uma redução significativa (H: 14,09, p The dispersion efficiency, longevity and the ability of seeds to remain latent waiting for suitable conditions for germination in the forest soil seed bank ensures the presence of pioneer tree species in disturbed areas. The seasonal and spatial variations in the density and floristic composition of the seed bank in tropical rainforests is a subject still little understood. This work verified the existence of spatio-temporal changes of the seed bank present in areas of humid tropical rain forest located near Manaus, Amazonas. In each of the six study areas, 40 circular samples of topsoil (10 cm in diameter and 2 cm deep were randomly collected every two months, from August 2004 to June/2005. Inside a greenhouse, the collected soil samples were distributed in trays and the emergence of seeds present in the soil was accompanied during four months. There was a significant reduction (H: 14.09112, p <0.05 in the mean

  12. Dinámica temporal del NDVI del bosque y pastizal natural en el Chaco de la Provincia de Santiago del Estero, Argentina / The temporal dynamic of NDVI, of forest and grassland in the Chaco Seco of Santiago del Estero province, Argentine

    Directory of Open Access Journals (Sweden)

    Hugo Raul Zerda

    2010-04-01

    Full Text Available Mediante imágenes mapas del índice de vegetación de diferencia normalizada (NDVI derivados del SPOT 4-Vegetation, se analizó la dinámica interanual y mensual de muestras de bosque nativo y pastizal natural de la provincia de Santiago del Estero, Argentina. Los resultados, muestran diferencias significativas (p pequenõs 0.05 para ambas coberturas, en la dinámica interanual y mensual. La actividad fotosintética del bosque se muestra superior a la del pastizal natural, analizada a partir de las curvas de NDVI. La dinámica del bosque y del pastizal natural, sigue el modelo regional de precipitaciones, alcanzando mayores valores de NDVI, durante la estación húmeda estival (Octubre-Mayo y menores valores de NDVI, durante la estación seca invernal (Junio-Septiembre. El bosque presentó mayor estabilidad que el pastizal natural, ante variaciones en las precipitaciones y temperatura, esperable por la mayor diversidad de especies en los bosques, y especialmente por las leñosas de raíces más profundas. La curva NDVI del pastizal natural, muestra sensibilidad al efecto de las elevadas intensidades de radiación en el verano, evapotranspiración y sequías; y debido a la mayor eficiencia del sistema radicular para el aprovechamiento del agua disponible, responde de manera inmediata ante las precipitaciones.AbstarctThe interannual and monthly dynamic of samples of forest and grassland from Santiago del Estero province, Argentine Republic, was analyzed through maps of vegetation of normalized difference (NDVI index derived from Vegetation/SPOT4 sensor. The results demonstrate that both covers, interannual and monthly dynamic mentioned before, have significant differences (p<0.05. The photosynthetic activity of the forest is superior compared with the one of the grassland, analyzed from the NDVI curves. The forest and the grassland dynamic, follows the regional precipitation pattern, reaching higher values from NDVI, during the summer humid

  13. AVHRR、SPOT-VGT 和 MODIS 3种NDVI 遥感数据在韩江流域的对比分析%A comparative analysis of AVHRR, SPOT-VGT and MODIS NDVI remote sensing data over Hanjiang River basin

    Institute of Scientific and Technical Information of China (English)

    刘远; 周买春

    2015-01-01

    目的寻找最能真实反映南方地区植被变化状况的遥感数据,并将其用于评价土地覆被变化及其带来的影响.方法通过分析韩江流域2001—2006年间AVHRR、SPOT-VGT和MODIS 3种归一化植被指数( NDVI)遥感数据,比较它们对不同植被响应特征的异同,并采用线性回归方法分析它们的相关关系.结果和结论3种NDVI遥感空间分布总体格局大体一致,且MODIS和SPOT-VGT的NDVI空间分布吻合良好.MODIS传感器波段宽度窄、空间分辨率高,对地物分辨能力高,NDVI在流域内的变化范围大,数值分布分散.3种NDVI的季节变化步调基本一致,幅度相当.MODIS NDVI最能精确反映地面植被覆盖的变化,而AVHRR NDVI反映的流域地面植被变化情况与实际不相符.3种NDVI反映的各种植被季节变化情况基本一致,MODIS NDVI与SPOT-VGT NDVI的相似度更高. MODIS NDVI能够明显区分农作物、郁闭灌木林和草地的季节变化与其他植被的不同,比SPOT-VGT NDVI 和AVHRR NDVI能更好地反映地面植被的多样性和植被覆盖的变化.在全流域和各种植被类型上,3种NDVI两两间都表现出一定的线性关系,其中MODIS NDVI与SPOT-VGT NDVI间的线性关系最强.由MODIS NDVI与AVHRR NDVI的线性回归关系预测的韩江流域2000年的NDVI与实测值吻合良好,为MODIS NDVI时间序列向历史年份拓展提供了思路.%[Objective]To select an optimum time series in remote sensing data for evaluating land cover changes and their impacts on southern China .[Method] Three types of remote sensing NDVI data from AVHRR, SPOT-VGT and MODIS were analysed to compare their similarities and differences in different vegetation types over Hanjiang River basin from 2001 to 2006, and their correlations were analysed using linear regression method .[Result and conclusion] These data had generally similar distribution patterns in space .MODIS and SPOT-VGT NDVI

  14. Assessing vegetation structure and ANPP dynamics in a grassland-shrubland Chihuahuan ecotone using NDVI-rainfall relationships

    Science.gov (United States)

    Moreno-de las Heras, M.; Diaz-Sierra, R.; Turnbull, L.; Wainwright, J.

    2015-05-01

    Climate change and the widespread alteration of natural habitats are major drivers of vegetation change in drylands. In the Chihuahuan Desert, large areas of grasslands dominated by perennial grass species have transitioned over the last 150 years to shrublands dominated by woody species, accompanied by accelerated water and wind erosion. Multiple mechanisms drive the shrub-encroachment process, including precipitation variations, land-use change, and soil erosion-vegetation feedbacks. In this study, using a simple ecohydrological modelling framework, we show that herbaceous (grasses and forbs) and shrub vegetation in drylands have different responses to antecedent precipitation due to functional differences in plant-growth and water-use patterns. Therefore, shrub encroachment may be reflected in the analysis of landscape-scale vegetation-rainfall relationships. We analyse the structure and dynamics of vegetation at an 18 km2 grassland-shrubland ecotone in the northern edge of the Chihuahuan Desert (McKenzie Flats, Sevilleta National Wildlife Refuge, NM, USA) by investigating the relationship between decade-scale (2000-2013) records of remotely sensed vegetation greenness (MODIS NDVI) and antecedent rainfall. NDVI-rainfall relationships show a high sensitivity to spatial variations on dominant vegetation types across the grassland-shrubland ecotone, and provide biophysical criteria to (a) classify landscape types as a function of the spatial distribution of dominant vegetation and to (b) decompose the NDVI signal into partial components of annual net primary production (ANPP) for herbaceous vegetation and shrubs. Analysis of remotely sensed ANPP dynamics across the study site indicates that plant growth for herbaceous vegetation is particularly synchronized with monsoonal summer rainfall. For shrubs, ANPP is better explained by winter plus summer precipitation, overlapping the monsoonal period (June-September) of rain concentration. Our results suggest that shrub

  15. Assessing vegetation structure and ANPP dynamics in a grassland-shrubland Chihuahuan ecotone using NDVI-rainfall relationships

    Science.gov (United States)

    Moreno-de las Heras, M.; Diaz-Sierra, R.; Turnbull, L.; Wainwright, J.

    2015-01-01

    Climate change and the widespread alteration of natural habitats are major drivers of vegetation change in drylands. A classic case of vegetation change is the shrub-encroachment process that has been taking place over the last 150 years in the Chihuahuan Desert, where large areas of grasslands dominated by perennial grass species (black grama, Bouteloua eriopoda, and blue grama, B. gracilis) have transitioned to shrublands dominated by woody species (creosotebush, Larrea tridentata, and mesquite, Prosopis glandulosa), accompanied by accelerated water and wind erosion. Multiple mechanisms drive the shrub-encroachment process, including exogenous triggering factors such as precipitation variations and land-use change, and endogenous amplifying mechanisms brought about by soil erosion-vegetation feedbacks. In this study, simulations of plant biomass dynamics with a simple modelling framework indicate that herbaceous (grasses and forbs) and shrub vegetation in drylands have different responses to antecedent precipitation due to functional differences in plant growth and water-use patterns, and therefore shrub encroachment may be reflected in the analysis of landscape-scale vegetation-rainfall relationships. We analyze the structure and dynamics of vegetation at an 18 km2 grassland-shrubland ecotone in the northern edge of the Chihuahuan Desert (McKenzie Flats, Sevilleta National Wildlife Refuge, NM, USA) by investigating the relationship between decade-scale (2000-2013) records of medium-resolution remote sensing of vegetation greenness (MODIS NDVI) and precipitation. Spatial evaluation of NDVI-rainfall relationship at the studied ecotone indicates that herbaceous vegetation shows quick growth pulses associated with short-term (previous 2 months) precipitation, while shrubs show a slow response to medium-term (previous 5 months) precipitation. We use these relationships to (a) classify landscape types as a function of the spatial distribution of dominant vegetation

  16. Dynamic Changes of Vegetation Coverage in She Country of Huangshan City based on NDVI%基于 NDVI 的黄山市歙县植被覆盖度动态变化研究

    Institute of Scientific and Technical Information of China (English)

    白洪伟; 洪艳

    2016-01-01

    The She country Huangshan City as the research area ,using the area of 2006 , 2009 and 2014 three TM/ETM+ image data ,extracted from NDVI ,using pixel dichoto‐my algorithm to calculate the vegetation cover and dynamic trend ,and analysis of vegeta‐tion cover change . The results showed that the vegetation coverage increased by 24 . 4314km2 ,and the grade III vegetation area increased by 863 .6194km2 ,and the grade IV vegetation area increased by 145 .7595km2 .T he forest area in She country and dense shrub forest ,farmland and grassland in excellent yield grade IV ,vegetation coverage increasing , low yield pasture and sporadic vegetation ,waters ,residential land ,industrial land and bare land ,vegetation has grade II of the good trend of transformation .%以安徽省黄山市歙县为研究目标,对该地区2006年、2009年和2014年三期T M/E T M+影像数据进行分析,提取出NDVI ,再利用像元二分法推算植被覆盖率及其变化的过程,简要分析其植被覆盖度变化原因。研究结果表明,植被覆盖度一级植被面积增加约25 km2,三级植被面积增加约870 km2,四级植被面积增加146 km2,二级植被向其他植被等级转移,三、四级植被覆盖度不断增大,一、二级植被也有改造的良好趋势。

  17. NDVI e fluxo de CO2 em lavoura de soja no Rio Grande do Sul NDVI and CO2 flow in a soybean crop in Rio Grande do Sul, Brasil

    Directory of Open Access Journals (Sweden)

    Celso Pinheiro Rodrigues

    2013-03-01

    Full Text Available O aumento das emissões dos gases de efeito estufa (GEE se configura, atualmente, como um dos principais problemas ambientais, o que pode afetar significativamente as atividades humanas e os ecossistemas terrestres. Um dos principais GEE é o CO2, o qual tem sido emitido indiscriminadamente em função do estilo de vida atual, assim como pela intensificação das atividades agrícolas. Neste contexto, o objetivo da pesquisa foi estudar a relação entre o comportamento espectral da cultura de soja ao longo de seu ciclo de desenvolvimento, utilizando imagens NDVI (Normalized Difference Vegetation Index e o fluxo de CO2, calculado pelo método de covariância de vórtices (eddy covariance, gerando informações e metodologia para investigar as trocas de carbono em uma área de cultivo de soja no estado do Rio Grande do Sul, durante a safra de 2008/2009. Utilizou-se imagens TM do satélite Landsat 5, dados fenológicos e dados coletados em estação micrometeorológica ao longo do ciclo de desenvolvimento da soja. Os resultados mostraram que o padrão temporal do fluxo de CO2 ao longo do dia é cíclico, sendo que no período diurno apresenta valores negativos (captura e no período noturno, positivos (liberação. A radiação solar global determina a magnitude do aprisionamento de CO2 pela cultura da soja, mas o fluxo é modulado pelo estádio fenológico da cultura. A atividade fotossintética das plantas de soja é maior durante o estádio vegetativo, quando coincide a maior incidência de radiação solar e o maior aparato fotossintético. O NDVI, obtido de imagens Landsat, é um indicador da evolução da biomassa da soja ao longo do ciclo. Existe correlação entre o NDVI e o fluxo negativo de CO2 (captura, ocorridos no período diurno. Portanto, técnicas de sensoriamento remoto demonstram potencialidade na geração de informações úteis sobre as trocas de CO2 entre a superfície e a atmosfera.The increasing on the greenhouse gases (GHG

  18. 智能便携式NDVI测量仪%A Intelligent Portable Instrument for Measuring NDVI

    Institute of Scientific and Technical Information of China (English)

    郝晓剑; 郝丽娜; 刘良云; 周汉昌

    2005-01-01

    介绍了一种测量归一化植被差异指数(NDVI,Normalized Difference Vegetation Index)的新仪器.该仪器能快速、方便、准确地测定农作物在生长的不同时期对氮肥的需求量,确定植物施肥的最佳时机.它具有结构简单、成本低、轻便、低功耗等特点.该测量仪已被用作测量几种小麦的NDVI值.实验结果表明,该NDVI测量仪测得的数据与ASD公司FR2500地物光谱仪测定的数据是一致的.

  19. Insensitivity of Tree-Ring Growth to Temperature and Precipitation Sharpens the Puzzle of Enhanced Pre-Eruption NDVI on Mt. Etna (Italy).

    Science.gov (United States)

    Seiler, Ruedi; Kirchner, James W; Krusic, Paul J; Tognetti, Roberto; Houlié, Nicolas; Andronico, Daniele; Cullotta, Sebastiano; Egli, Markus; D'Arrigo, Rosanne; Cherubini, Paolo

    2017-01-01

    On Mt. Etna (Italy), an enhanced Normalized Difference in Vegetation Index (NDVI) signature was detected in the summers of 2001 and 2002 along a distinct line where, in November 2002, a flank eruption subsequently occurred. These observations suggest that pre-eruptive volcanic activity may have enhanced photosynthesis along the future eruptive fissure. If a direct relation between NDVI and future volcanic eruptions could be established, it would provide a straightforward and low-cost method for early detection of upcoming eruptions. However, it is unclear if, or to what extent, the observed enhancement of NDVI can be attributed to volcanic activity prior to the subsequent eruption. We consequently aimed at determining whether an increase in ambient temperature or additional water availability owing to the rise of magma and degassing of water vapour prior to the eruption could have increased photosynthesis of Mt. Etna's trees. Using dendro-climatic analyses we quantified the sensitivity of tree ring widths to temperature and precipitation at high elevation stands on Mt. Etna. Our findings suggest that tree growth at high elevation on Mt. Etna is weakly influenced by climate, and that neither an increase in water availability nor an increase in temperature induced by pre-eruptive activity is a plausible mechanism for enhanced photosynthesis before the 2002/2003 flank eruption. Our findings thus imply that other, yet unknown, factors must be sought as causes of the pre-eruption enhancement of NDVI on Mt. Etna.

  20. Evaluating EO-based canopy water stress from seasonally detrended NDVI and SIWSI with modeled evapotranspiration in the Senegal River Basin

    DEFF Research Database (Denmark)

    Olsen, Jørgen L.; Stisen, Simon; Proud, Simon Richard;

    2015-01-01

    detrended anomalies are evaluated using a gridded rainfall product (RFE2) and modeled actual evapotranspiration (ETa) for the Senegal River basin in 2008. Daily NDVI and SIWSI were found spatially highly correlated to ETa with r=0.73 for both indices, showing the importance of the north/south vegetation...

  1. The effect of choosing three different C factor formulae derived from NDVI on a fully raster-based erosion modelling

    Science.gov (United States)

    Sulistyo, Bambang

    2016-11-01

    The research was aimed at studying the efect of choosing three different C factor formulae derived from NDVI on a fully raster-based erosion modelling of The USLE using remote sensing data and GIS technique. Methods applied was by analysing all factors affecting erosion such that all data were in the form of raster. Those data were R, K, LS, C and P factors. Monthly R factor was evaluated based on formula developed by Abdurachman. K factor was determined using modified formula used by Ministry of Forestry based on soil samples taken in the field. LS factor was derived from Digital Elevation Model. Three C factors used were all derived from NDVI and developed by Suriyaprasit (non-linear) and by Sulistyo (linear and non-linear). P factor was derived from the combination between slope data and landcover classification interpreted from Landsat 7 ETM+. Another analysis was the creation of map of Bulk Density used to convert erosion unit. To know the model accuracy, model validation was done by applying statistical analysis and by comparing Emodel with Eactual. A threshold value of ≥ 0.80 or ≥ 80% was chosen to justify. The research result showed that all Emodel using three formulae of C factors have coeeficient of correlation value of > 0.8. The results of analysis of variance showed that there was significantly difference between Emodel and Eactual when using C factor formula developed by Suriyaprasit and Sulistyo (non-linear). Among the three formulae, only Emodel using C factor formula developed by Sulistyo (linear) reached the accuracy of 81.13% while the other only 56.02% as developed by Sulistyo (nonlinear) and 4.70% as developed by Suriyaprasit, respectively.

  2. A Web Architecture to Geographically Interrogate CHIRPS Rainfall and eMODIS NDVI for Land Use Change

    Science.gov (United States)

    Burks, Jason E.; Limaye, Ashutosh

    2014-01-01

    Monitoring of rainfall and vegetation over the continent of Africa is important for assessing the status of crop health and agriculture, along with long-term changes in land use change. These issues can be addressed through examination of long-term precipitation (rainfall) data sets and remote sensing of land surface vegetation and land use types. Two products have been used previously to address these goals: the Climate Hazard Group Infrared Precipitation with Stations (CHIRPS) rainfall data, and multi-day composites of Normalized Difference Vegetation Index (NDVI) from the USGS eMODIS product. Combined, these are very large data sets that require unique tools and architecture to facilitate a variety of data analysis methods or data exploration by the end user community. To address these needs, a web-enabled system has been developed to allow end-users to interrogate CHIRPS rainfall and eMODIS NDVI data over the continent of Africa. The architecture allows end-users to use custom defined geometries, or the use of predefined political boundaries in their interrogation of the data. The massive amount of data interrogated by the system allows the end-users with only a web browser to extract vital information in order to investigate land use change and its causes. The system can be used to generate daily, monthly and yearly averages over a geographical area and range of dates of interest to the user. It also provides analysis of trends in precipitation or vegetation change for times of interest. The data provided back to the end-user is displayed in graphical form and can be exported for use in other, external tools. The development of this tool has significantly decreased the investment and requirements for end-users to use these two important datasets, while also allowing the flexibility to the end-user to limit the search to the area of interest.

  3. Automatic calibration of a parsimonious ecohydrological model in a sparse basin using the spatio-temporal variation of the NDVI

    Science.gov (United States)

    Ruiz-Pérez, Guiomar; Manfreda, Salvatore; Caylor, Kelly; Francés, Félix

    2016-04-01

    Drylands are extensive, covering 30% of the Earth's land surface and 50% of Africa. In these water-controlled areas, vegetation plays a key role in the water cycle. Ecohydrological models provide a tool to investigate the relationships between vegetation and water resources. However, studies in Africa often face the problem that many ecohydrological models have quite extensive parametrical requirements, while available data are scarce. Therefore, there is a need for searching new sources of information such as satellite data. The advantages of the use of satellite data in dry regions has been deeply demonstrated and studied. But, the use of this kind of data forces to introduce the concept of spatio-temporal information. In this context, we have to deal with the fact that there is a lack in terms of statistics and methodologies to incorporate the spatio-temporal data during the calibration and validation processes. This research wants to be a contribution in that sense. The used ecohydrological model was calibrated in the Upper Ewaso river basin in Kenya only using NDVI (Normalized Difference Vegetation Index) data from MODIS. An automatic calibration methodology based on Singular Value Decomposition techniques was proposed in order to calibrate the model taking into account the temporal variation and, also, the spatial pattern of the observed NDVI and the simulated LAI. The obtained results have demonstrated: (1) the satellite data is an extraordinary useful tool of information and it can be used to implement ecohydrological models in dry regions; (2) the proposed model calibrated only using satellite data is able to reproduce the vegetation dynamics (in time and in space) and, also, the observed discharge at the outlet point; and (3) the proposed automatic calibration methodology works satisfactorily and it includes spatio-temporal data, in other words, it takes into account the temporal variation and the spatial pattern of the analyzed data.

  4. The effect of preceding wintertime Arctic polar vortex on springtime NDVI patterns in boreal Eurasia, 1982-2015

    Science.gov (United States)

    Li, Jing; Fan, Ke; Xu, Jianjun; Powell, Alfred M.; Kogan, Felix

    2016-08-01

    The polar vortex is implicated in certain cold events in boreal Eurasia and has a further influence on land surface properties (e.g., vegetation and snow) during spring. The Normalized Difference Vegetation Index (NDVI) can be used as a proxy of land surface responses to climate changes to a certain degree. In this study, we demonstrate the significant correlation between preceding wintertime Arctic polar vortex intensity (WAPVI) and springtime NDVI (SNDVI) over a 34-year period (1982-2015) in boreal Eurasia (50°-75°N, 0°-150°E). Results show that a positive phase of WAPVI tends to increase the SNDVI in Europe and Lake Baikal, but causes a significant decrease in Siberia; the physical mechanisms involved in this relationship are then investigated. A positive phase of WAPVI leads to anomalies in surface air temperature and rainfall over Eurasia, which then induces a significant decrease in snow cover and snow depth in Europe and Lake Baikal and an increase of snow depth in Siberia. The colder ground temperature in Siberia during spring is considered responsible for the stronger snow depth and weaker vegetation growth in this region. The weaker and thinner snow cover in Europe and Baikal produces a decrease in albedo and an increase in heat. Thin snow melts fast in the following spring and land releases more heat to the atmosphere; consequently, warm and moist land surface facilitates vegetation growth in Europe and the Baikal regions during positive WAPVI years. In addition, WAPVI can induce sea surface temperature (SST) anomalies in the North Atlantic, which displays a tripole pattern similar to that of the empirical mode pattern in winter. Furthermore, the SST anomalous pattern persisting from winter to spring can trigger a stationary wave-train propagating from west to east in boreal Eurasia, with "negative-positive-negative-positive" geopotential height anomalies, which further exerts an impact on vegetation growth through modulation of the heat balance.

  5. Analysis of trends in fused AVHRR and MODIS NDVI data for 1982-2006: Indication for a CO2 fertilization effect in global vegetation

    Science.gov (United States)

    Los, S. O.

    2013-04-01

    Recent studies report an increase in vegetation greenness in mid-to-high northern latitudes. This increase is observed in leaf-out data in Europe and North America since the 1950s and in satellite data since the 1980s. Increased vegetation greenness is potentially a factor contributing to a land CO2 sink. Various causes for increased vegetation greenness are suggested, but their relative importance is uncertain. In the present study, the effect of climate and CO2 fertilization on increased vegetation greenness and the land CO2 sink are investigated. The study is organized as follows: (1) A model is used to simulate monthly global normalized difference vegetation index (NDVI) fields for 1901-2006. The model is derived from NDVI, precipitation, and temperature data for 1982-1999. The modeled fields, referred to as reconstructed vegetation index (RVI), are tested back in time on phenological data (1950s-1990s) and forward in time on Moderate Resolution Imaging Spectrometer (MODIS) data (2001-2006). The RVI represents the response of NDVI to variations in climate. (2) Residuals between RVI and NDVI are analyzed for associations with variations in downwelling solar radiation, nitrogen deposition, satellite-related artifacts, and CO2 fertilization. CO2 fertilization was the only factor that improved RVI modeling. (3) The effect of climate variations and CO2 fertilization on the land CO2 sink, as manifested in the RVI, is explored with the Carnegie Ames Stanford Assimilation (CASA) model. Climate (temperature and precipitation) and CO2 fertilization each explain approximately 40% of the observed global trend in NDVI for 1982-2006. For 1901-2006, estimated trends in NDVI related to CO2 fertilization are four to five times larger than climate-related trends. CASA simulations indicate that the CO2 fertilization effect on vegetation greenness contributes about 0.7 Pg C per year to the recent land CO2 sink. This is a conservative estimate and is likely larger. This effect of

  6. Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data

    Directory of Open Access Journals (Sweden)

    Prajna Regmi

    2012-11-01

    Full Text Available Drained thermokarst lake basins accumulate significant amounts of soil organic carbon in the form of peat, which is of interest to understanding carbon cycling and climate change feedbacks associated with thermokarst in the Arctic. Remote sensing is a tool useful for understanding temporal and spatial dynamics of drained basins. In this study, we tested the application of high-resolution X-band Synthetic Aperture Radar (SAR data of the German TerraSAR-X satellite from the 2009 growing season (July–September for characterizing drained thermokarst lake basins of various age in the ice-rich permafrost region of the northern Seward Peninsula, Alaska. To enhance interpretation of patterns identified in X-band SAR for these basins, we also analyzed the Normalized Difference Vegetation Index (NDVI calculated from a Landsat-5 Thematic Mapper image acquired on July 2009 and compared both X-band SAR and NDVI data with observations of basin age. We found significant logarithmic relationships between (a TerraSAR-X backscatter and basin age from 0 to 10,000 years, (b Landat-5 TM NDVI and basin age from 0 to 10,000 years, and (c TerraSAR-X backscatter and basin age from 50 to 10,000 years. NDVI was a better indicator of basin age over a period of 0–10,000 years. However, TerraSAR-X data performed much better for discriminating radiocarbon-dated basins (50–10,000 years old. No clear relationships were found for either backscatter or NDVI and basin age from 0 to 50 years. We attribute the decreasing trend of backscatter and NDVI with increasing basin age to post-drainage changes in the basin surface. Such changes include succession in vegetation, soils, hydrology, and renewed permafrost aggradation, ground ice accumulation and localized frost heave. Results of this study show the potential application of X-band SAR data in combination with NDVI data to map long-term succession dynamics of drained thermokarst lake basins.

  7. 近10年浙江植被物候的遥感监测及时空动态%Vegetation Phenology Monitoring and Spatio-temporai Dynamics in Zhejiang Province in Past 10 Years

    Institute of Scientific and Technical Information of China (English)

    何月; 樊高峰; 张小伟; 高大伟; 胡波

    2012-01-01

    In order to understand the vegetation phenological variation of Zhejiang Province comprehensively and further improve the vegetation response to climate change mechanism, the vegetation phenological metrics (the beginning data, the ending data and length of growing season) and its spatio-temporal variation in Zhejiang Province were analyzed, based on the reconstructed MODIS NDVI time-series using the improved Savitzky-Golay filter. To explore the vegetation phenology from 2001 to 2010, a polynomial fitting and dynamic threshold method were utilized. The results showed that vegetation growing season of Zhejing Province started in late March and ended in mid November, the average length of growing season was about 222 days. In past 10 years, the beginning time of growing season expressed the advance trend, but not significant, while the ending time was significantly delayed, the length of growing season was extended, about 7 days every 10 years. The spatial pattern of the begging time of growing season was embodied by transition from south to north, the ending time was relatively concentrated. Vegetation growing season of extended area was similar of the shortened area. Phenological characteristics of different vegetation types showed great differences. Coniferous forest and shrub grassland of the typical vegetation phenological changes were analyzed, the NDVI variation of shrub grassland was larger than coniferous forest both in annual and inner-annual. Coniferous forest growth season was shorter than the shrub grassland about 35 days, and extension of the trend, while shrub grass growing season changed not obviously.%为了全面认识浙江植被物候变化规律,进一步完善区域气候变化的植被响应机制,基于改进的Savitzky-Golay滤波算法重构了2001-2010年MODIS NDVI时间序列数据,利用分段多项式拟合和动态阈值法提取了浙江省近10年的植被重要物候期(生长季开始时间、结束时间和生长季长度),分析

  8. High NDVI and Potential Canopy Photosynthesis of South American Subtropical Forests despite Seasonal Changes in Leaf Area Index and Air Temperature

    Directory of Open Access Journals (Sweden)

    Piedad M. Cristiano

    2014-02-01

    Full Text Available The canopy photosynthesis and carbon balance of the subtropical forests are not well studied compared to temperate and tropical forest ecosystems. The main objective of this study was to assess the seasonal dynamics of Normalized Difference Vegetation Index (NDVI and potential canopy photosynthesis in relation to seasonal changes in leaf area index (LAI, chlorophyll concentration, and air temperatures of NE Argentina subtropical forests throughout the year. We included in the analysis several tree plantations (Pinus, Eucalyptus and Araucaria species that are known to have high productivity. Field studies in native forests and tree plantations were conducted; stem growth rates, LAI and leaf chlorophyll concentration were measured. MODIS satellite-derived LAI (1 km SIN Grid and NDVI (250m SIN Grid from February 2000 to 2012 were used as a proxy of seasonal dynamics of potential photosynthetic activity at the stand level. The remote sensing LAI of the subtropical forests decreased every year from 6 to 5 during the cold season, similar to field LAI measurements, when temperatures were 10 °C lower than during the summer. The yearly maximum NDVI values were observed during a few months in autumn and spring (March through May and November, respectively because high and low air temperatures may have a small detrimental effect on photosynthetic activity during both the warm and the cold seasons. Leaf chlorophyll concentration was higher during the cold season than the warm season which may have a compensatory effect on the seasonal variation of the NDVI values. The NDVI of the subtropical forest stands remained high and fairly constant throughout the year (the intra-annual coefficient of variation was 1.9%, and were comparable to the values of high-yield tree plantations. These results suggest that the humid subtropical forests in NE Argentina potentially could maintain high canopy photosynthetic activity throughout the year and thus this ecosystem may

  9. High-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture

    Directory of Open Access Journals (Sweden)

    Rasmus Houborg

    2016-09-01

    Full Text Available Planet Labs (“Planet” operate the largest fleet of active nano-satellites in orbit, offering an unprecedented monitoring capacity of daily and global RGB image capture at 3–5 m resolution. However, limitations in spectral resolution and lack of accurate radiometric sensor calibration impact the utility of this rich information source. In this study, Planet’s RGB imagery was translated into a Normalized Difference Vegetation Index (NDVI: a common metric for vegetation growth and condition. Our framework employs a data mining approach to build a set of rule-based regression models that relate RGB data to atmospherically corrected Landsat-8 NDVI. The approach was evaluated over a desert agricultural landscape in Saudi Arabia where the use of near-coincident (within five days Planet and Landsat-8 acquisitions in the training of the regression models resulted in NDVI predictabilities with an r2 of approximately 0.97 and a Mean Absolute Deviation (MAD on the order of 0.014 (~9%. The MAD increased to 0.021 (~14% when the Landsat NDVI training image was further away (i.e., 11–16 days from the corrected Planet image. In these cases, the use of MODIS observations to inform on the change in NDVI occurring between overpasses was shown to significantly improve prediction accuracies. MAD levels ranged from 0.002 to 0.011 (3.9% to 9.1% for the best performing 80% of the data. The technique is generic and extendable to any region of interest, increasing the utility of Planet’s dense time-series of RGB imagery.

  10. Potential NDVI in Longxi Loess Plateau based on CART model%基于CART模型陇西黄土高原潜在NDVI模拟

    Institute of Scientific and Technical Information of China (English)

    王超; 戚鹏程; 冯兆东

    2009-01-01

    根据研究区30a的气象观测数据,使用栅格化技术,建成陇西黄土高原分布式气候模型(降水量、气温、蒸散发量);然后以人类活动影响较少的森林、灌木林和十草原作为该处的本底NDVI数据,使用分类与回归树模型建立潜在NDVI与栅格化的气候要素的关系,模拟了陇西黄土高原的潜在NDVI;在此基础上分析了外界压力对潜在NDVI的影响.结果表明:1)陇西黄土高原的多年平均降水量有从东南到西北的递减趋势,气温随海拔高度变化明显,多年平均生长季蒸散发量可达300 mm;2)使用CART模型模拟潜在NDVI精度较高,其总体精度达到了82.6%,可满足潜在NDVI的模拟;3)外界压力下的NDVI与潜在NDVI在空间分布上呈现很大的不一致.%Data from some meteorologic stations were used to build a distributed climate models (precipitation, temperature and evapotranspiration), and then an approach was presented for estimating potential NDVI from climate variables and training data of actual NDVI in nature reserves. The actual data from the baseline generally correspond with land cover types in the western China where there are fewer human activities. The results show: 1) the precipitation had a trend from southeast to northwest, the temperature changed with elevation and the average evapotranspiration reached 30 cm; 2) The CART model was accurate enough in estimating the potential NDVI of Longxi Loess Plateau, with the accuracy reaching 82.6%; 3) There was an great difference between the actual NDVI and potential NDVI.

  11. Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets

    Directory of Open Access Journals (Sweden)

    Felix Rembold

    2013-03-01

    Full Text Available For large areas, it is difficult to assess the spatial distribution and inter-annual variation of crop acreages through field surveys. Such information, however, is of great value for governments, land managers, planning authorities, commodity traders and environmental scientists. Time series of coarse resolution imagery offer the advantage of global coverage at low costs, and are therefore suitable for large-scale crop type mapping. Due to their coarse spatial resolution, however, the problem of mixed pixels has to be addressed. Traditional hard classification approaches cannot be applied because of sub-pixel heterogeneity. We evaluate neural networks as a modeling tool for sub-pixel crop acreage estimation. The proposed methodology is based on the assumption that different cover type proportions within coarse pixels prompt changes in time profiles of remotely sensed vegetation indices like the Normalized Difference Vegetation Index (NDVI. Neural networks can learn the relation between temporal NDVI signatures and the sought crop acreage information. This learning step permits a non-linear unmixing of the temporal information provided by coarse resolution satellite sensors. For assessing the feasibility and accuracy of the approach, a study region in central Italy (Tuscany was selected. The task consisted of mapping the spatial distribution of winter crops abundances within 1 km AVHRR pixels between 1988 and 2001. Reference crop acreage information for network training and validation was derived from high resolution Thematic Mapper/Enhanced Thematic Mapper (TM/ETM+ images and official agricultural statistics. Encouraging results were obtained demonstrating the potential of the proposed approach. For example, the spatial distribution of winter crop acreage at sub-pixel level was mapped with a cross-validated coefficient of determination of 0.8 with respect to the reference information from high resolution imagery. For the eight years for which

  12. Detection of land use/land cover changes through the comparative analysis of NDVI-MODIS phenological clusters

    Science.gov (United States)

    Simoniello, Tiziana; Imbrenda, Vito; Lanfredi, Maria

    2013-04-01

    The use of satellite time series provides precious information to understand vegetation dynamics. In particular, they can be profitably used for studying magnitudo and spatial extent of the Earth's land cover alterations, which affect directly biodiversity, can contribute to land degradation, and are linked to climate change by feedback mechanisms. In the framework of PRO-LAND project (PO-FESR Basilicata 2007-2013), we used NDVI-MODIS satellite time series (250 m), available as 16-day composite from the NASA LPDAAC dataset, to analyze land cover changes occurred in Basilicata region (Southern Italy) during the period 2000-2010. We performed a phenological clustering for the years 2000 and 2010 by means of the unsupervised classification fuzzy k-means which is able to identify gradual differences among phenological patterns. The time domain considered is from April to October in order to reduce disturbances due to the presence of clouds, which can distort actual vegetation phenological profiles. The optimal number of clusters to capture the heterogeneity of the examined area was fixed at ten, because it seemed to be a good trade-off between the need of an efficient representation of ecosystems and the ability to detect local fragmentation effects. Results show that the temporal patterns of the ten clusters can be organised in a continuum of phenological curves. They can be sorted unambiguously according to increasing percentage of man-made areas (decreasing percentage of natural areas) and allow us to well discriminate different land cover compositions by looking not only at differences in mean NDVI values but also at differences in the seasonal timing. The cluster sequence for both the examined years mostly follows the spatial arrangement of the land cover classes, and the complex orography of the investigated region. In general, results show that a slight variability characterize the arrangement of cluster cores, particularly for the clusters with a dominance of

  13. Method for NIR Reflectance Estimation with Visible Camera Data based on Regression for NDVI Estimation and its Application for Insect Damage Detection of Rice Paddy Fields

    Directory of Open Access Journals (Sweden)

    Kohei Arai

    2016-10-01

    Full Text Available Method for Near Infrared: NIR reflectance estimation with visible camera data based on regression for Normalized Vegetation Index: NDVI estimation is proposed together with its application for insect damage detection of rice paddy fields. Through experiments at rice paddy fields which is situated at Saga Prefectural Agriculture Research Institute SPARI in Saga city, Kyushu, Japan, it is found that there is high correlation between NIR reflectance and Green color reflectance. Therefore, it is possible to estimate NIR reflectance with visible camera data which results in possibility of estimation of NDVI with drone mounted visible camera data. As is well known that the protein content in rice crops is highly correlated with NIR intensity, or reflectance of rice leaves, it is possible to estimate rice crop quality with drone based visible camera data.

  14. Responses of the reflectance indices PRI and NDVI to experimental warming and drought in European shrublands along a north–south climatic gradient

    DEFF Research Database (Denmark)

    Mänd, Pille; Hallik, Lea; Peñuelas, Josep;

    2010-01-01

    canopy reflectance, effective green leaf area index (green LAIe) and chlorophyll fluorescence of dominant species. The treatment effects on green LAIe varied among sites. We calculated three reflectance indices: photochemical reflectance index PRI [531 nm; 570 nm], normalized difference vegetation index...... NDVI680 [780 nm; 680 nm] using red spectral region, and NDVI570 [780 nm; 570 nm] using the same green spectral region as PRI. All three reflectance indices were significantly related to green LAIe and were able to detect changes in shrubland vegetation among treatments. In general warming treatment...... in vegetation areas with low green LAIe. As both soil reflectance and LAI varied between northern and southern sites it is problematic to draw universal conclusions of climate-derived changes in all vegetation types based merely on PRI measurements. We propose that canopy level PRI measurements can be more...

  15. Data pre-processing: Stratospheric aerosol perturbing effect on the remote sensing of vegetation: Correction method for the composite NDVI after the Pinatubo eruption

    Science.gov (United States)

    Vermote, E.; Elsaleous, N.; Kaufman, Y. J.; Dutton, E.

    1994-01-01

    An operational stratospheric correction scheme used after the Mount Pinatubo (Phillipines) eruption (Jun. 1991) is presented. The stratospheric aerosol distribution is assumed to be only variable with latitude. Each 9 days the latitudinal distribution of the optical thickness is computed by inverting radiances observed in the NOAA AVHRR channel 1 (0.63 micrometers) and channel 2 (0.83 micrometers) over the Pacific Ocean. This radiance data set is used to check the validity of model used for inversion by checking consistency of the optical thickness deduced from each channel as well as optical thickness deduced from different scattering angles. Using the optical thickness profile previously computed and radiative transfer code assuming Lambertian boundary condition, each pixel of channel 1 and 2 are corrected prior to computation of NDVI (Normalized Difference Vegetation Index). Comparison between corrected, non corrected, and years prior to Pinatubo eruption (1989 to 1990) NDVI composite, shows the necessity and the accuracy of the operational correction scheme.

  16. Repetibilidade dos parâmetros espaço-temporais da marcha: comparação entre crianças normais e com paralisia cerebral do tipo hemiplegia espástica Repeatability of spatiotemporal gait parameters: comparison between normal children and children with hemiplegic spastic cerebral palsy

    Directory of Open Access Journals (Sweden)

    PD Dini

    2009-06-01

    Full Text Available OBJETIVO: Avaliar a repetibilidade das medidas dos parâmetros espaço-temporais da marcha por meio de um estudo comparativo entre crianças normais e crianças com paralisia cerebral (PC. MÉTODOS: A amostra foi composta por 17 crianças divididas em dois grupos: um grupo de nove crianças com PC do tipo hemiplegia espástica e um grupo com oito crianças normais que foram avaliadas pelo mesmo pesquisador em duas sessões diferentes, com intervalo de uma semana entre as sessões. As crianças caminharam em velocidade autosselecionada e foram utilizadas seis tentativas nas sessões 1 e 2 para representar a média. Para registro dos parâmetros espaço-temporais, foi utilizado o sistema Peak Motus, com duas câmeras de vídeo SVHS com taxa de aquisição de 60 Hz. Coeficiente de correlação intraclasse (ICC e limites de concordância de Bland-Altman foram escolhidos para análise dos dados. RESULTADOS: Os resultados demonstraram que as crianças com PC apresentaram menor velocidade e comprimento do ciclo do que as crianças normais para as sessões 1 e 2. Para todos os parâmetros espaço-temporais, os dois grupos apresentaram valores de ICC de excelentes a moderados, ou seja, maior do que 0,70. CONCLUSÃO: Pode-se concluir que os dois grupos apresentaram níveis bons de repetibilidade para todos os parâmetros analisados quando seis tentativas foram utilizadas para representar a média.OBJECTIVE: To evaluate the repeatability of spatiotemporal gait parameters by means of a comparative study between normal children and children with cerebral palsy (CP. METHODS: The sample consisted of 17 children divided into two groups: a group of nine children with spastic hemiplegia CP and a group of eight normal children. The children were evaluated by the same researcher in two different sessions, with a one-week interval between the sessions. The children walked at self-selected velocities, and six attempts were performed at each session to represent the

  17. Cattle stocking rates estimated in temperate intensive grasslands with a spring growth model derived from MODIS NDVI time-series

    Science.gov (United States)

    Green, Stuart; Cawkwell, Fiona; Dwyer, Edward

    2016-10-01

    There is an identified need for high resolution animal stocking rate data in temperate grassland systems. Here is presented a 250 m scale characterization of early spring vegetation growth (DOY 32-DOY 120) from 2003 to 2012 based on MODIS NDVI products for this period for Ireland. The average rate of grass growth is determined locally as a simple linear model for each pixel, using only the highest quality data for the period. These decadal spring growth model coefficients, start of season cover and growth rate, are regressed against log of stocking rate (r2 = 0.75). This model stocking rate is used to map grassland use intensity in Ireland, which, when tested against an independent set of stocking rate data, is shown to be successful with an RMSE error of 0.13 for a range of stocking densities from 0.1 to 3.0 LSU/Ha. This model provides the first validated high resolution approach to mapping stocking rates in intensively managed European grassland systems.

  18. Comparison of Uncalibrated Rgbvi with Spectrometer-Based Ndvi Derived from Uav Sensing Systems on Field Scale

    Science.gov (United States)

    Bareth, G.; Bolten, A.; Gnyp, M. L.; Reusch, S.; Jasper, J.

    2016-06-01

    The development of UAV-based sensing systems for agronomic applications serves the improvement of crop management. The latter is in the focus of precision agriculture which intends to optimize yield, fertilizer input, and crop protection. Besides, in some cropping systems vehicle-based sensing devices are less suitable because fields cannot be entered from certain growing stages onwards. This is true for rice, maize, sorghum, and many more crops. Consequently, UAV-based sensing approaches fill a niche of very high resolution data acquisition on the field scale in space and time. While mounting RGB digital compact cameras to low-weight UAVs (digital compact camera was flown to acquire RGB images which are used to compute the RGBVI and (ii) NDVI is computed from a newly modified version of the Yara N-Sensor. The latter is a well-established tractor-based hyperspectral sensor for crop management and is available on the market since a decade. It was modified for this study to fit the requirements of UAV-based data acquisition. Consequently, we focus on three objectives in this contribution: (1) to evaluate the potential of the uncalibrated RGBVI for monitoring nitrogen status in winter wheat, (2) investigate the UAV-based performance of the modified Yara N-Sensor, and (3) compare the results of the two different UAV-based sensing approaches for winter wheat.

  19. Analysis of Vegetation Behavior in a North African Semi-Arid Region, Using SPOT-VEGETATION NDVI Data

    Directory of Open Access Journals (Sweden)

    Abdelghani Chehbouni

    2011-11-01

    Full Text Available The analysis of vegetation dynamics is essential in semi-arid regions, in particular because of the frequent occurrence of long periods of drought. In this paper, multi-temporal series of the Normalized Difference of Vegetation Index (NDVI, derived from SPOT-VEGETATION satellite data between September 1998 and June 2010, were used to analyze the vegetation dynamics over the semi-arid central region of Tunisia. A study of the persistence of three types of vegetation (pastures, annual agriculture and olive trees is proposed using fractal analysis, in order to gain insight into the stability/instability of vegetation dynamics. In order to estimate the state of vegetation cover stress, we propose evaluating the properties of an index referred to as the Vegetation Anomaly Index (VAI. A positive VAI indicates high vegetation dynamics, whereas a negative VAI indicates the presence of vegetation stress. The VAI is tested for the above three types of vegetation, during the study period from 1998 to 2010, and is compared with other drought indices. The VAI is found to be strongly correlated with precipitation.

  20. Does EO NDVI seasonal metrics capture variations in species composition and biomass due to grazing in semi-arid grassland savannas?

    OpenAIRE

    Olsen, J.L.; S. Miehe; P. Ceccato; R. Fensholt

    2015-01-01

    Most regional scale studies of vegetation in the Sahel have been based on Earth observation (EO) imagery due to the limited number of sites providing continuous and long term in situ meteorological and vegetation measurements. From a long time series of coarse resolution normalized difference vegetation index (NDVI) data a greening of the Sahel since the 1980s has been identified. However, it is poorly understood how commonly applied remote sensing techniques reflect the inf...

  1. Performance and effects of land cover type on synthetic surface reflectance data and NDVI estimates for assessment and monitoring of semi-arid rangeland

    Science.gov (United States)

    Olexa, Edward M.; Lawrence, Rick L

    2014-01-01

    Federal land management agencies provide stewardship over much of the rangelands in the arid andsemi-arid western United States, but they often lack data of the proper spatiotemporal resolution andextent needed to assess range conditions and monitor trends. Recent advances in the blending of com-plementary, remotely sensed data could provide public lands managers with the needed information.We applied the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) to five Landsat TMand concurrent Terra MODIS scenes, and used pixel-based regression and difference image analyses toevaluate the quality of synthetic reflectance and NDVI products associated with semi-arid rangeland. Pre-dicted red reflectance data consistently demonstrated higher accuracy, less bias, and stronger correlationwith observed data than did analogous near-infrared (NIR) data. The accuracy of both bands tended todecline as the lag between base and prediction dates increased; however, mean absolute errors (MAE)were typically ≤10%. The quality of area-wide NDVI estimates was less consistent than either spectra lband, although the MAE of estimates predicted using early season base pairs were ≤10% throughout the growing season. Correlation between known and predicted NDVI values and agreement with the 1:1regression line tended to decline as the prediction lag increased. Further analyses of NDVI predictions,based on a 22 June base pair and stratified by land cover/land use (LCLU), revealed accurate estimates through the growing season; however, inter-class performance varied. This work demonstrates the successful application of the STARFM algorithm to semi-arid rangeland; however, we encourage evaluation of STARFM’s performance on a per product basis, stratified by LCLU, with attention given to the influence of base pair selection and the impact of the time lag.

  2. SACRA – global data sets of satellite-derived crop calendars for agricultural simulations: an estimation of a high-resolution crop calendar using satellite-sensed NDVI

    Directory of Open Access Journals (Sweden)

    S. Kotsuki

    2015-01-01

    Full Text Available To date, many studies have performed numerical estimations of food production and agricultural water demand to understand the present and future supply–demand relationship. A crop calendar (CC is an essential input datum to estimate food production and agricultural water demand accurately with the numerical estimations. CC defines the date or month when farmers plant and harvest in cropland. This study aims to develop a new global data set of a satellite-derived crop calendar for agricultural simulations (SACRA and reveal advantages and disadvantages of the satellite-derived CC compared to other global products. We estimate global CC at a spatial resolution of 5 min (≈10 km using the satellite-sensed NDVI data, which corresponds well to vegetation growth and death on the land surface. We first demonstrate that SACRA shows similar spatial pattern in planting date compared to a census-based product. Moreover, SACRA reflects a variety of CC in the same administrative unit, since it uses high-resolution satellite data. However, a disadvantage is that the mixture of several crops in a grid is not considered in SACRA. We also address that the cultivation period of SACRA clearly corresponds to the time series of NDVI. Therefore, accuracy of SACRA depends on the accuracy of NDVI used for the CC estimation. Although SACRA shows different CC from a census-based product in some regions, multiple usages of the two products are useful to take into consideration the uncertainty of the CC. An advantage of SACRA compared to the census-based products is that SACRA provides not only planting/harvesting dates but also a peak date from the time series of NDVI data.

  3. Assessing Impacts of Drought on Agriculture Production and Food Security in Karamoja of Northeastern Uganda with Meteorological and NDVI-Based Indices - Some findings and challenges

    Science.gov (United States)

    Nakalembe, C. L.; Zhang, J.; Justice, C. O.

    2015-12-01

    Drought monitoring and planning requires spatially and temporally continuous information and its impacts on production and on society can easily be quantified when long-term (both crop production and climate) information is available. Such historical information is scanty and at best qualitative for Karamoja in Northeastern Uganda, a region considered to be most vulnerable to drought. To demonstrate the capabilities of currently available satellite data in filling this data gap in smallholder agricultural regions; this study first characterized agricultural drought at multiple temporal and spatial scales using Normalized Difference Vegetation Index (NDVI) data (1999-2011) and monthly rainfall data (1960-2011). Correlation analyses of the NDVI based drought indicators, Standardized Precipitation Index (SPI) and a global product of Palmer Drought Severity Index (PDSI). Spatial information is derived for the 1999-2000 period using MODIS 250m resolution data. The 12 month SPI (SPI-12) had the highest correlation with the MODIS NDVI record from (1999-2011) derived indices reaffirming the cumulative effect of rainfall on vegetation during the growing season and the utility of NDVI as an indicator of drought. Time-series plots were generated, the droughts were ranked and spatial maps derived for the most severe droughts between 2000- 2011. Temporal drought information is correlated with proxy indicators such as food aid supplies, available historical production data, market prices from within and in neighbouring regions and with to primary data collected through interviews with farmers in Moroto district. This study demonstrates that operationalizing drought monitoring can be realized with remote sensing and further affirms the importance of drought and agriculture monitoring for food security.

  4. The 2010 Russian Drought Impact on Satellite Measurements of Solar-Induced Chlorophyll Fluorescence: Insights from Modeling and Comparisons with the Normalized Differential Vegetation Index (NDVI)

    Science.gov (United States)

    Yoshida, Y.; Joiner, J.; Tucker, C.; Berry, J.; Lee, J. -E.; Walker, G.; Reichle, R.; Koster, R.; Lyapustin, A.; Wang, Y.

    2015-01-01

    We examine satellite-based measurements of chlorophyll solar-induced fluorescence (SIF) over the region impacted by the Russian drought and heat wave of 2010. Like the popular Normalized Difference Vegetation Index (NDVI) that has been used for decades to measure photosynthetic capacity, SIF measurements are sensitive to the fraction of absorbed photosynthetically-active radiation (fPAR). However, in addition, SIF is sensitive to the fluorescence yield that is related to the photosynthetic yield. Both SIF and NDVI from satellite data show drought-related declines early in the growing season in 2010 as compared to other years between 2007 and 2013 for areas dominated by crops and grasslands. This suggests an early manifestation of the dry conditions on fPAR. We also simulated SIF using a global land surface model driven by observation-based meteorological fields. The model provides a reasonable simulation of the drought and heat impacts on SIF in terms of the timing and spatial extents of anomalies, but there are some differences between modeled and observed SIF. The model may potentially be improved through data assimilation or parameter estimation using satellite observations of SIF (as well as NDVI). The model simulations also offer the opportunity to examine separately the different components of the SIF signal and relationships with Gross Primary Productivity (GPP).

  5. Analysis of the Scaling Effects in the Area-Averaged Fraction of Vegetation Cover Retrieved Using an NDVI-Isoline-Based Linear Mixture Model

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    Hiroki Yoshioka

    2012-07-01

    Full Text Available The spectral unmixing of a linear mixture model (LMM with Normalized Difference Vegetation Index (NDVI constraints was performed to estimate the fraction of vegetation cover (FVC over the earth’s surface in an effort to facilitate long-term surface vegetation monitoring using a set of environmental satellites. Although the integrated use of multiple sensors improves the spatial and temporal quality of the data sets, area-averaged FVC values obtained using an LMM-based algorithm suffer from systematic biases caused by differences in the spatial resolutions of the sensors, known as scaling effects. The objective of this study is to investigate the scaling effects in area-averaged FVC values using analytical approaches by focusing on the monotonic behavior of the scaling effects as a function of the spatial resolution. The analysis was conducted based on a resolution transformation model introduced recently by the authors in the accompanying paper (Obata et al., 2012. The maximum value of the scaling effects present in FVC values was derived analytically and validated numerically. A series of derivations identified the error bounds (inherent uncertainties of the averaged FVC values caused by the scaling effect. The results indicate a fundamental difference between the NDVI and the retrieved FVC from NDVI, which should be noted for accuracy improvement of long-term observation datasets.

  6. Evaluating the Consistency of the 1982–1999 NDVI Trends in the Iberian Peninsula across Four Time-series Derived from the AVHRR Sensor: LTDR, GIMMS, FASIR, and PAL-II

    Science.gov (United States)

    Alcaraz-Segura, Domingo; Liras, Elisa; Tabik, Siham; Paruelo, José; Cabello, Javier

    2010-01-01

    Successive efforts have processed the Advanced Very High Resolution Radiometer (AVHRR) sensor archive to produce Normalized Difference Vegetation Index (NDVI) datasets (i.e., PAL, FASIR, GIMMS, and LTDR) under different corrections and processing schemes. Since NDVI datasets are used to evaluate carbon gains, differences among them may affect nations’ carbon budgets in meeting international targets (such as the Kyoto Protocol). This study addresses the consistency across AVHRR NDVI datasets in the Iberian Peninsula (Spain and Portugal) by evaluating whether their 1982–1999 NDVI trends show similar spatial patterns. Significant trends were calculated with the seasonal Mann-Kendall trend test and their spatial consistency with partial Mantel tests. Over 23% of the Peninsula (N, E, and central mountain ranges) showed positive and significant NDVI trends across the four datasets and an additional 18% across three datasets. In 20% of Iberia (SW quadrant), the four datasets exhibited an absence of significant trends and an additional 22% across three datasets. Significant NDVI decreases were scarce (croplands in the Guadalquivir and Segura basins, La Mancha plains, and Valencia). Spatial consistency of significant trends across at least three datasets was observed in 83% of the Peninsula, but it decreased to 47% when comparing across the four datasets. FASIR, PAL, and LTDR were the most spatially similar datasets, while GIMMS was the most different. The different performance of each AVHRR dataset to detect significant NDVI trends (e.g., LTDR detected greater significant trends (both positive and negative) and in 32% more pixels than GIMMS) has great implications to evaluate carbon budgets. The lack of spatial consistency across NDVI datasets derived from the same AVHRR sensor archive, makes it advisable to evaluate carbon gains trends using several satellite datasets and, whether possible, independent/additional data sources to contrast. PMID:22205868

  7. Evaluating the Consistency of the 1982–1999 NDVI Trends in the Iberian Peninsula across Four Time-series Derived from the AVHRR Sensor: LTDR, GIMMS, FASIR, and PAL-II

    Directory of Open Access Journals (Sweden)

    José Paruelo

    2010-02-01

    Full Text Available Successive efforts have processed the Advanced Very High Resolution Radiometer (AVHRR sensor archive to produce Normalized Difference Vegetation Index (NDVI datasets (i.e., PAL, FASIR, GIMMS, and LTDR under different corrections and processing schemes. Since NDVI datasets are used to evaluate carbon gains, differences among them may affect nations’ carbon budgets in meeting international targets (such as the Kyoto Protocol. This study addresses the consistency across AVHRR NDVI datasets in the Iberian Peninsula (Spain and Portugal by evaluating whether their 1982–1999 NDVI trends show similar spatial patterns. Significant trends were calculated with the seasonal Mann-Kendall trend test and their spatial consistency with partial Mantel tests. Over 23% of the Peninsula (N, E, and central mountain ranges showed positive and significant NDVI trends across the four datasets and an additional 18% across three datasets. In 20% of Iberia (SW quadrant, the four datasets exhibited an absence of significant trends and an additional 22% across three datasets. Significant NDVI decreases were scarce (croplands in the Guadalquivir and Segura basins, La Mancha plains, and Valencia. Spatial consistency of significant trends across at least three datasets was observed in 83% of the Peninsula, but it decreased to 47% when comparing across the four datasets. FASIR, PAL, and LTDR were the most spatially similar datasets, while GIMMS was the most different. The different performance of each AVHRR dataset to detect significant NDVI trends (e.g., LTDR detected greater significant trends (both positive and negative and in 32% more pixels than GIMMS has great implications to evaluate carbon budgets. The lack of spatial consistency across NDVI datasets derived from the same AVHRR sensor archive, makes it advisable to evaluate carbon gains trends using several satellite datasets and, whether possible, independent/additional data sources to contrast.

  8. Patrones fenológicos de la Provincia de Mendoza, Argentina, mediante serie temporal de imágenes NOAA-AVHRR NDVI GAC Phenological patterns of the province of Mendoza, Argentina, through a temporal series of NOAA-AVHRR NDVI GAC images

    Directory of Open Access Journals (Sweden)

    M. M González Loyarte

    2010-12-01

    Full Text Available Se describe la dinámica temporal de la vegetación de Mendoza mediante análisis de la fenología foliar regional con una serie de 108 imágenes mensuales de índice de vegetación NOAA-AVHRR NDVI GAC. La serie se descompone aplicando la Transformada Rápida de Fourier en parámetros dinámicos: NDVI medio, amplitudes (máxima variabilidad del NDVI y fases (tiempo entre inicio del ciclo y máximo NDVI para diferentes períodos. Con los parámetros con mayor información (variablilidad inter e intraanual se hace una clasificación y se obtiene un mapa de 18 áreas de comportamiento fenológico. Éste se vincula con los ecosistemas y con las unidades de vegetación. Se modela el patrón fenológico (curva NDVI mensual para 17 unidades de vegetación. El mapa aporta elementos dinámicos al estudio regional de la vegetación generando una zonificación nueva explicada por variables que determinan la actividad vegetativa. El patrón fenológico describe el funcionamiento de la vegetación y permite comprender sus variaciones geográficas. El conjunto de la vegetación de Mendoza responde a un ciclo anual con matices localizados de ligera bimodalidad. Los patrones de bajo contraste invierno-verano corresponden a condiciones climáticas xéricas expresando su máximo vegetativo al final del verano; la disponibilidad hídrica incrementa este contraste acortando el tiempo de máxima expresión vegetativa.The temporal dynamics of vegetation in Mendoza is described through analysis of regional foliar phenology using a series of 108 monthly NOAA-AVHRR NDVI GAC images. A Fast Fourier Transform was used to decompose the series into dynamic parameters: mean NDVI, amplitudes (maximum NDVI variability and phases (time from start of cycle to maximum NDVI for different time periods. A classification is made based on those parameters with larger information content (inter- and intra-annual variability, achieving a map of 18 areas of phenological behaviour. This

  9. Análise do NDVI/NOAA em cana-de-açúcar e Mata Atlântica no litoral norte de Pernambuco, Brasil Analysis of NDVI/NOAA in sugar cane and Atlantic Forest in the north of Pernambuco state, Brazil

    Directory of Open Access Journals (Sweden)

    Abdoral de A. Lucas

    2007-12-01

    Full Text Available Neste trabalho se realizou a análise espaço-temporal do NDVI (Índice de Vegetação da Diferença Normalizada na cultura da cana-de-açúcar, considerando-se a idade fenológica e a influência da precipitação pluvial dos meses atual e anterior relativos à safra 2003/2004. A metodologia foi aplicada em três áreas, ou seja, duas com cana-de-açúcar e uma de Mata Atlântica; cada área representa um pixel do satélite NOAA (National Oceanic and Atmospheric Administration. Os pontos amostrais P1 e P2 indicam áreas com plantio de cana e o ponto P3, um fragmento de Mata Atlântica, todos localizados na Usina São José, no Litoral Norte de Pernambuco. O estádio fenológico da cana-de-açúcar foi relacionado com o NDVI e com a precipitação referente a 6 épocas do ciclo da cultura. Aplicou-se, para a análise espaço-temporal, o índice de vegetação da diferença normalizada, utilizando-se imagens do sensor AVHRR (Advanced Very High Resolution Radiometric/NOAa-16. Os resultados mostraram maior influência da precipitação do mês anterior no comportamento do NDVI. Em relação ao ciclo da cultura, o estádio de desenvolvimento acompanha a evolução do NDVI, ou seja, na medida em que ocorre um ganho de biomassa, aumenta o valor do NDVI e ele começa, então, a decair quando se inicia o estádio de maturação, a partir do sétimo mês após o corte.This paper accomplished a space-temporal analysis of NDVI (Normalized Difference Vegetation Index in sugar cane crop, considering the phenological stage and the influence of pluvial precipitation of the current and previous month of 2003/2004 harvest. The methodology was applied in three areas, two with sugar cane and one of Atlantic Forest. Each area represents a pixel of the NOAA (National Oceanic and Atmospheric Administration satellite. Points P1 and P2 represent areas with sugar cane and point P3 a fragment of Atlantic Forest, all located at the Usina São José, in North of Pernambuco

  10. 基于 NDVI 时间序列数据的江西省水稻种植制度变化研究%Study on Rice Cropping System in Jiangxi Province with Time-series NDVI Dataset

    Institute of Scientific and Technical Information of China (English)

    欧立业; 罗烈琴; 易明华

    2016-01-01

    Multiple cropping system is an important way to improve the grain yield , and cropping index as a statistical indicator can re-flect the degree of utilization of the arable land in the time scale .Cropping index of remote sensing monitoring on arable land resource assessment, security of food production , agricultural condition prediction has important practical significance .Jiangxi has always been a big agricultural province , has never been interrupted the export of marketable grain since the founding of state , made an important contribution to national food security .In this case, Jiangxi Province ,as the object of study , using SPOT VGT multi-temporal NDVI data, combined with the SRTM DEM data , remote sensing interpretation of the 2000-2010 three years’ arable land data in a five-year interval , analyze the change of the cultivated land area , crop growth situation , and farming system in Jiangxi province in these three years and the influence factors .%利用Savitzky-Golay滤波对覆盖江西省范围的SPOT VGT NDVI时间序列数据进行平滑处理的基础上,结合坡度数据,通过非监督分类的方法提取了江西省2000、2005和2010年水稻种植范围,并根据NDVI的年内动态变化,从水稻种植范围、水稻生长季起始时间、水稻复种指数和NDVI最大振幅等分析了江西省水稻种植和生长情况,探讨2000~2010年江西省水稻生产的变化。

  11. 基于 SPOT-VGT NDVI 时间序列的农牧交错带植被物候监测%Monitoring vegetation phenology in farming-pastoral zone using SPOT-VGT NDVI data

    Institute of Scientific and Technical Information of China (English)

    侯学会; 牛铮; 高帅; 黄妮

    2013-01-01

      为了分析中国农牧交错带植被典型物候期(生长开始日期,生长结束日期和生长季长度)的变化趋势,利用2001-2010年 SPOT-VGT NDVI(SPOT-VEGETATION normalized differential vegetation index)数据,基于 Savitzky— Golay滤波和动态阈值法,提取了中国北方农牧交错带植被物候期,探讨研究区植被物候期的空间差异和时间变化。研究表明,农牧交错带植被的生长季一般从4月中旬到5月下旬开始,9月下旬至10月下旬结束;从西南部到东北部,植被物候表现出明显的空间差异;农田植被物候期与自然植被略有不同;对研究区10 a 物候期线性拟合,得出研究区大部分植被覆盖区域生长季开始日期呈现提前趋势,提前日期大约为1~10 d 左右;除部分地区外,2001-2010年农牧交错带植被生长季结束日期没有明显变化趋势;10 a 间研究区大部分草地生长季延长,也有一部分地区的生长季出现缩短趋势。研究提取结果与已有的相关研究结果较为一致,可为农牧交错带生态环境评价和保护提供一定的参考。%Vegetation phenology dynamics reflect the response of biosphere to global climate change and terrestrial hydrological cycle mechanism changes. It is connected well to ecosystem primary productivity of terrestrial and carbon cycle. As the best indicator in monitoring the influence of climate on vegetation, plant phenology has become the key point of global change research. The transition zone between cropping area and nomadic area is sensitive to climate change, thus the changes of vegetation phenology in this area has become an essential issue. Based on the Savitzky-Golay filtering and dynamic threshold method, the spatial-temporal pattern of vegetation phenology in farming-pastoral zone in Northern China was analyzed using SPOT-VGT NDVI data from 2001 to 2010. The results showed that vegetation phenology in the study area generally started from mid-April to

  12. Contribution of National near Real Time MODIS Forest Maximum Percentage NDVI Change Products to the U.S. ForWarn System

    Science.gov (United States)

    Spruce, Joseph P.; Hargrove, William; Gasser, Gerald; Smoot, James; Kuper, Philip D.

    2012-01-01

    This presentation reviews the development, integration, and testing of Near Real Time (NRT) MODIS forest % maximum NDVI change products resident to the USDA Forest Service (USFS) ForWarn System. ForWarn is an Early Warning System (EWS) tool for detection and tracking of regionally evident forest change, which includes the U.S. Forest Change Assessment Viewer (FCAV) (a publically available on-line geospatial data viewer for visualizing and assessing the context of this apparent forest change). NASA Stennis Space Center (SSC) is working collaboratively with the USFS, ORNL, and USGS to contribute MODIS forest change products to ForWarn. These change products compare current NDVI derived from expedited eMODIS data, to historical NDVI products derived from MODIS MOD13 data. A new suite of forest change products are computed every 8 days and posted to the ForWarn system; this includes three different forest change products computed using three different historical baselines: 1) previous year; 2) previous three years; and 3) all previous years in the MODIS record going back to 2000. The change product inputs are maximum value NDVI that are composited across a 24 day interval and refreshed every 8 days so that resulting images for the conterminous U.S. are predominantly cloud-free yet still retain temporally relevant fresh information on changes in forest canopy greenness. These forest change products are computed at the native nominal resolution of the input reflectance bands at 231.66 meters, which equates to approx 5.4 hectares or 13.3 acres per pixel. The Time Series Product Tool, a MATLAB-based software package developed at NASA SSC, is used to temporally process, fuse, reduce noise, interpolate data voids, and re-aggregate the historical NDVI into 24 day composites, and then custom MATLAB scripts are used to temporally process the eMODIS NDVIs so that they are in synch with the historical NDVI products. Prior to posting, an in-house snow mask classification product

  13. Improving arable land heterogeneity information in available land cover products for land surface modelling using MERIS NDVI data

    Directory of Open Access Journals (Sweden)

    F. Zabel

    2010-10-01

    Full Text Available Regionalization of physical land surface models requires the supply of detailed land cover information. Numerous global and regional land cover maps already exist but generally, they do not resolve arable land into different crop types. However, arable land comprises a huge variety of different crops with characteristic phenological behaviour, demonstrated in this paper with Leaf Area Index (LAI measurements exemplarily for maize and winter wheat. This affects the mass and energy fluxes on the land surface and thus its hydrology. The objective of this study is the generation of a land cover map for central Europe based on CORINE Land Cover (CLC 2000, merged with CORINE Switzerland, but distinguishing different crop types. Accordingly, an approach was developed, subdividing the land cover class arable land into the regionally most relevant subclasses for central Europe using multiseasonal MERIS Normalized Difference Vegetation Index (NDVI data. The satellite data were used for the separation of spring and summer crops due to their different phenological behaviour. Subsequently, the generated phenological classes were subdivided following statistical data from EUROSTAT. This database was analysed concerning the acreage of different crop types. The impact of the improved land use/cover map on evapotranspiration was modelled exemplarily for the Upper Danube catchment with the hydrological model PROMET. Simulations based on the newly developed land cover approach showed a more detailed evapotranspiration pattern compared to model results using the traditional CLC map, which is ignorant of most arable subdivisions. Due to the improved temporal behaviour and spatial allocation of evapotranspiration processes in the new land cover approach, the simulated water balance more closely matches the measured gauge.

  14. Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China

    Directory of Open Access Journals (Sweden)

    Pengyu Hao

    2016-05-01

    Full Text Available Most methods used for crop classification rely on the ground-reference data of the same year, which leads to considerable financial and labor cost. In this study, we presented a method that can avoid the requirements of a large number of ground-reference data in the classification year. Firstly, we extracted the Normalized Difference Vegetation Index (NDVI time series profiles of the dominant crops from MODIS data using the historical ground-reference data in multiple years (2006, 2007, 2009 and 2010. Artificial Antibody Network (ABNet was then employed to build reference NDVI time series for each crop based on the historical NDVI profiles. Afterwards, images of Landsat and HJ were combined to obtain 30 m image time series with 15-day acquisition frequency in 2011. Next, the reference NDVI time series were transformed to Landsat/HJ NDVI time series using their linear model. Finally, the transformed reference NDVI profiles were used to identify the crop types in 2011 at 30 m spatial resolution. The result showed that the dominant crops could be identified with overall accuracy of 87.13% and 83.48% in Bole and Manas, respectively. In addition, the reference NDVI profiles generated from multiple years could achieve better classification accuracy than that from single year (such as only 2007. This is mainly because the reference knowledge from multiple years contains more growing conditions of the same crop. Generally, this approach showed potential to identify crops without using large number of ground-reference data at 30 m resolution.

  15. Classification mapping and species identification of salt marshes based on a short-time interval NDVI time-series from HJ-1 optical imagery

    Science.gov (United States)

    Sun, Chao; Liu, Yongxue; Zhao, Saishuai; Zhou, Minxi; Yang, Yuhao; Li, Feixue

    2016-03-01

    Salt marshes are seen as the most dynamic and valuable ecosystems in coastal zones, and in these areas, it is crucial to obtain accurate remote sensing information on the spatial distributions of species over time. However, discriminating various types of salt marsh is rather difficult because of their strong spectral similarities. Previous salt marsh mapping studies have focused mainly on high spatial and spectral (i.e., hyperspectral) resolution images combined with auxiliary information; however, the results are often limited to small regions. With a high temporal and moderate spatial resolution, the Chinese HuanJing-1 (HJ-1) satellite optical imagery can be used not only to monitor phenological changes of salt marsh vegetation over short-time intervals, but also to obtain coverage of large areas. Here, we apply HJ-1 satellite imagery to the middle coast of Jiangsu in east China to monitor changes in saltmarsh vegetation cover. First, we constructed a monthly NDVI time-series to classify various types of salt marsh and then we tested the possibility of using compressed time-series continuously, to broaden the applicability of this particular approach. Our principal findings are as follows: (1) the overall accuracy of salt marsh mapping based on the monthly NDVI time-series was 90.3%, which was ∼16.0% higher than the single-phase classification strategy; (2) a compressed time-series, including NDVI from six key months (April, June-September, and November), demonstrated very little reduction (2.3%) in overall accuracy but led to obvious improvements in unstable regions; and (3) a simple rule for Spartina alterniflora identification was established using a scene solely from November, which may provide an effective way for regularly monitoring its distribution.

  16. The role of permafrost and soil water in distribution of alpine grassland and its NDVI dynamics on the Qinghai-Tibetan Plateau

    Science.gov (United States)

    Wang, Xiaoyun; Yi, Shuhua; Wu, Qingbai; Yang, Kun; Ding, Yongjian

    2016-12-01

    Soil temperature and soil water are two important factors controlling vegetation growth. Climate warming and associated permafrost degradation might change these soil conditions and affect alpine grassland on the Qinghai-Tibetan Plateau. However, our current understanding of the role of soil temperature and water at the plateau scale is inadequate. In this study, we used plateau scale soil water content, frozen soil type, vegetation index and land surface temperature datasets to investigate the spatial distribution, limiting factors of vegetation growth and normalized difference vegetation index (NDVI) changing trends in two major alpine grasslands, alpine meadow and alpine steppe, in relation to soil temperature and soil water conditions. Our results showed that: 1) alpine meadow is mainly distributed in seasonal frozen soil areas (55.90% of alpine meadow) with a soil water content between 0.15 and 0.25 m3/m3 and alpine steppe is mainly found in seasonal frozen and sub-stable permafrost areas (69.38% of alpine steppe) with a soil water content between 0.05 and 0.20 m3/m3; 2) at the plateau scale, there were 35.6% (more in colder regions) of alpine meadow pixels and 33.6% (more in wetter regions) of alpine steppe pixels having increase NDVI changing trends during 1982-2012, respectively; and the values having decrease NDVI changing trends are 7.3% and 9.7%, respectively; and 3) the vegetation growth of alpine meadow is mainly limited by soil temperature, while that of alpine steppe is limited by both soil temperature and soil water. We also find the limiting factors of temperature or water can only explain models to consider other factors, such as grazing, erosion and soil texture, among others, in addition to soil temperature and water to make proper projections when simulating the responses of vegetation growth to climate warming in alpine grasslands with different hydro-thermal conditions.

  17. Evaluation of Spatiotemporal Variations of Global Fractional Vegetation Cover Based on GIMMS NDVI Data from 1982 to 2011

    Directory of Open Access Journals (Sweden)

    Donghai Wu

    2014-05-01

    Full Text Available Fractional vegetation cover (FVC is an important biophysical parameter of terrestrial ecosystems. Variation of FVC is a major problem in research fields related to remote sensing applications. In this study, the global FVC from 1982 to 2011 was estimated by GIMMS NDVI data, USGS global land cover characteristics data and HWSD soil type data with a modified dimidiate pixel model, which considered vegetation and soil types and mixed pixels decomposition. The evaluation of the robustness and accuracy of the GIMMS FVC with MODIS FVC and Validation of Land European Remote sensing Instruments (VALERI FVC show high reliability. Trends of the annual FVCmax and FVCmean datasets in the last 30 years were reported by the Mann–Kendall method and Sen’s slope estimator. The results indicated that global FVC change was 0.20 and 0.60 in a year with obvious seasonal variability. All of the continents in the world experience a change in the annual FVCmax and FVCmean, which represents biomass production, except for Oceania, which exhibited a significant increase based on a significance level of p = 0.001 with the Student’s t-test. Global annual maximum and mean FVC growth rates are 0.14%/y and 0.12%/y, respectively. The trends of the annual FVCmax and FVCmean based on pixels also illustrated that the global vegetation had turned green in the last 30 years. A significant trend on the p = 0.05 level was found for 15.36% of the GIMMS FVCmax pixels on a global scale (excluding permanent snow and ice, in which 1.8% exhibited negative trends and 13.56% exhibited positive trends. The GIMMS FVCmean similarly produced a total of 16.64% significant pixels with 2.28% with a negative trend and 14.36% with a positive trend. The North Frigid Zone represented the highest annual FVCmax significant increase (p = 0.05 of 25.17%, which may be caused mainly by global warming, Arctic sea-ice loss and an advance in growing seasons. Better FVC predictions at large regional scales

  18. Monitoring Regional Forest Disturbances across the US with Near Real Time MODIS NDVI Products included in the ForWarn Forest Threat Early Warning System

    Science.gov (United States)

    Spruce, Joseph; Hargrove, William W.; Gasser, Gerald; Norman, Steve

    2013-01-01

    U.S. forests occupy approx.1/3 of total land area (approx. 304 million ha). Since 2000, a growing number of regionally evident forest disturbances have occurred due to abiotic and biotic agents. Regional forest disturbances can threaten human life and property, bio-diversity and water supplies. Timely regional forest disturbance monitoring products are needed to aid forest health management work. Near Real Time (NRT) twice daily MODIS NDVI data provide a means to monitor U.S. regional forest disturbances every 8 days. Since 2010, these NRT forest change products have been produced and posted on the US Forest Service ForWarn Early Warning System for Forest Threats.

  19. 基于环境减灾卫星时序归一化植被指数的冬小麦产量估测%Yield forecasting for winter wheat using time series NDVI from HJ satellite

    Institute of Scientific and Technical Information of China (English)

    陈鹏飞; 杨飞; 杜佳

    2013-01-01

    A NDVI time series curve, proposed from high time resolution remote sensing images, contains rich information for crop yield forecasting. MODIS-NDVI and AVHRR-NDVI are normally used. However, the spatial resolution of MODIS and AVHRR are low. When they used for crop yield forecasting in China, the prediction accuracy will be reduced by a mixed pixel problem, as the farmland is small. China launched a HJ satellite constellation in 2009. The satellite constellation can provide an image with a time resolution of 2 days and a spatial resolution of 30 m. It would be helpful to make crop yield forecasting in field scale in China, based on the NDVI time series curve designed from higher spatial resolution HJ images. Taking Yucheng city as a research area, this study research the feasibility of proposing a NDVI time series curve using HJ satellite images and then making a winter wheat yield forecast using parameters extracted from the above curve. For this purpose, 11 images were acquired with a nearly 10 day interval from February 19th to June 5th, and the winter wheat yields of 12 sample sites were also measured during a field campaign in 2012. Firstly, quintic polynomial least square fitting was used to propose a NDVI time series curve using NDVI values extracted from the above images. The curve covered reviving, jointing, flowering, filling and mature stages of winter wheat. Secondly, parameters of a NDVI time series curve were calculated. They were maximum NDVI and accumulated NDVI during winter wheat growth stage, NDVI value at winter wheat reviving stage, NDVI change rate during winter wheat vegetation growth stage, and NDVI change rate during the winter wheat reproduction growth stage. Thirdly, using collected sample data, the yield prediction models were created, based on the above parameters respectively. Meanwhile, a single-phase image NDVI was also used to propose a yield prediction model, and it was compared to the above models, in order to show if a NDVI time

  20. Variáveis espaço-temporais da marcha de crianças com paralisia cerebral submetidas a eletroestimulação no músculo tibial anterior Spatio-temporal gait variables of children with cerebral palsy undergoing electrostimulation in the anterior tibial muscle

    Directory of Open Access Journals (Sweden)

    BP Jerônimo

    2007-08-01

    Full Text Available OBJETIVO: Este estudo teve como objetivo descrever variáveis espaço-temporais da marcha de crianças de 4 a 5 anos de idade com paralisia cerebral (PC do tipo hemiplegia espástica, antes e após sessões de eletroestimulação do músculo tibial anterior do dimídio plégico. METODOLOGIA: Cinco crianças foram submetidas à eletroestimulação durante 12 sessões (três vezes na semana. Para a coleta dos dados biomecânicos, foi realizada análise da marcha através do sistema Peak Motus versão 7.0 com duas câmeras de vídeo SVHS com taxa de aquisição de 60 Hz. Para reconstrução tridimensional dos movimentos, foi utilizado o método Direct Linear Trasformation (DLT. RESULTADOS: Após a intervenção, todas as crianças apresentaram diferenças menores entre o comprimento dos passos do dimídio plégico e não-plégico (p= 0,009. Observou-se o aumento no comprimento do ciclo em quatro crianças. Duas crianças tiveram aumento da cadência, velocidade e tempo de apoio simples do dimídio plégico. CONCLUSÕES: Foi verificada a melhoria da simetria da marcha relacionada ao comprimento do passo antes e após a intervenção, embora o aumento nas variáveis espaço-temporais não tenha ocorrido da mesma maneira para todas as crianças. Apesar das dificuldades em se obterem amostras maiores e mais homogêneas em estudos desse tipo, os dados sugerem a necessidade de identificação e maior controle das variáveis intervenientes no tratamento e na marcha de crianças portadoras de paralisia cerebral.OBJECTIVE: This study had the objective of describing spatiotemporal gait variables of four to five-year-old children with spastic hemiplegic cerebral palsy, before and after sessions of electrostimulation of the anterior tibial muscle on the paralyzed side. METHOD: Five children underwent 12 sessions of electrostimulation (three times a week. To collect biomechanical data, the gait was analyzed using the Peak Motus system, version 7.0, with two S

  1. Time-Series analysis of MODIS NDVI data along with ancillary data for Land use/Land cover mapping of Uttarakhand

    Science.gov (United States)

    Patakamuri, S. K.; Agrawal, S.; Krishnaveni, M.

    2014-12-01

    Land use and land cover plays an important role in biogeochemical cycles, global climate and seasonal changes. Mapping land use and land cover at various spatial and temporal scales is thus required. Reliable and up to date land use/land cover data is of prime importance for Uttarakhand, which houses twelve national parks and wildlife sanctuaries and also has a vast potential in tourism sector. The research is aimed at mapping the land use/land cover for Uttarakhand state of India using Moderate Resolution Imaging Spectroradiometer (MODIS) data for the year 2010. The study also incorporated smoothening of time-series plots using filtering techniques, which helped in identifying phenological characteristics of various land cover types. Multi temporal Normalized Difference Vegetation Index (NDVI) data for the year 2010 was used for mapping the Land use/land cover at 250m coarse resolution. A total of 23 images covering a single year were layer stacked and 150 clusters were generated using unsupervised classification (ISODATA) on the yearly composite. To identify different types of land cover classes, the temporal pattern (or) phenological information observed from the MODIS (MOD13Q1) NDVI, elevation data from Shuttle Radar Topography Mission (SRTM), MODIS water mask (MOD44W), Nighttime Lights Time Series data from Defense Meteorological Satellite Program (DMSP) and Indian Remote Sensing (IRS) Advanced Wide Field Sensor (AWiFS) data were used. Final map product is generated by adopting hybrid classification approach, which resulted in detailed and accurate land use and land cover map.

  2. A max-to-min technique for making projections of NDVI change in semi-arid Africa for food security early warning

    Science.gov (United States)

    Brown, M. E.; Funk, C. C.

    2005-12-01

    Climatic hazards such as droughts and floods often result in a decline in food production in economically vulnerable pre-industrial economies such as those in Africa. Early warning systems (EWS) have been developed to identify slow onset disasters such famine and epidemic disease that may result from hazardous environmental conditions. These conditions often precede food crises by many months, thus effective monitoring via satellite and in situ observations can allow for successful mitigation activities. Accurate forecasts of NDVI could increase monitoring lead times and allow for effective institutional planning of intervention, making early warning earlier. This paper presents a simple empirical max-to-min model for making 1 to 4 month NDVI projections. These statistical projections are based on parameterized satellite rainfall estimates (RFE) and relative humidity demand (RHD). A heuristic example in central Zimbabwe introduces the RFE growth and RHD loss terms. A quasi-global, one month ahead, 1 degree study then demonstrates reasonable accuracies in many semi-arid regions. In Africa, a 0.1 degree cross-validated skill assessment quantifies the technique's applicability at 1 to 4 month forecast intervals. These results suggest that useful projections can be made over many semi-arid, food insecure regions of Africa, with plausible extensions to drought prone areas of Asia, Australia and South America.

  3. 大兴安岭不同植被火后NDVI恢复过程%NDVI Recovery Process for Post-Fire Vegetation in Daxing’anling

    Institute of Scientific and Technical Information of China (English)

    苗庆林; 田晓瑞; 赵凤君

    2015-01-01

    【目的】利用卫星遥感技术研究火后植被恢复过程及影响因子,分析不同火烧强度、不同植被类型的火后归一化植被指数( NDVI)变化特征,研究大兴安岭东南部火后不同植被恢复过程,为在长时间尺度上进行北方林火后植被恢复过程研究与监测提供参考。【方法】基于火烧前后一系列的 MODIS 数据,利用 NDVI 和地面调查数据,以2006年大兴安岭松岭特大森林火灾为例,研究不同植被类型在不同强度火烧后的植被恢复过程。根据火烧前后NDVI变化提取过火区;结合地面调查,利用监督分类方法划分火烧强度等级;根据火烧强度分级图和土地覆盖类型图,建立属性数据库,生成火烧强度等级-植被类型图。以2003—2005年同期 NDVI最大值为对照,在时间序列上分析植被类型和火烧强度对火后 NDVI 恢复的影响。根据邻近未过火区的 NDVI 变化,分析气象因子对NDVI的影响。【结果】轻度、中度和重度火烧区所占比例分别为29%,40%和31%。主要植被类型常绿针叶林、针阔混交林和灌丛的重度火烧部分分别占50%,52%和60%。重度火烧区域所占比例随着坡度增大而升高。在火后NDVI的变化过程中,各森林类型变化趋势相近,灌丛、草地和沼泽的变化趋势相近。【结论】火后 NDVI总体呈上升趋势,并呈现明显的年际波动。除草地外其余植被类型在重度火烧后的 NDVI值均明显低于中、轻度火烧,但中、轻度火烧的不同植被类型之间差异不明显。森林重度火烧区 NDVI在火后第2年达到最低,轻度火烧区火后6年NDVI基本恢复到火前水平。针阔混交林火后盖度的恢复速度较其他森林类型快。火烧强度对森林群落垂直结构的影响显著,森林火烧后灌木层盖度高于未火烧区,且火烧强度越高,这种现象越显著。双因素方差分析显示植被类

  4. Monitoring Regional Forest Disturbances across the US with near Real Time MODIS NDVI Products Resident to the ForWarn Forest Threat Early Warning System

    Science.gov (United States)

    Spruce, Joseph P.; Hargrove, William W.; Gasser, Gerald

    2013-01-01

    Forest threats across the US have become increasingly evident in recent years. Sometimes these have resulted in regionally evident disturbance progressions (e.g., from drought, bark beetle outbreaks, and wildfires) that can occur across multiyear durations and have resulted in extensive forest overstory mortality. In addition to stand replacement disturbances, other forests are subject to ephemeral, sometimes yearly defoliation from various insects and varying types and intensities of ephemeral damage from storms. Sometimes, after prolonged severe disturbance, signs of recovery in terms of Normalized Difference Vegetation Index (NDVI) can occur. The growing prominence and threat of forest disturbances in part have led to the formation and implementation of the 2003 Healthy Forest Restoration Act which mandated that national forest threat early warning system be developed and deployed. In response, the US Forest Service collaborated with NASA, DOE Oakridge National Laboratory, and the USGS Eros Data Center to build and roll-out the near real time ForWarn early warning system for monitoring regionally evident forest disturbances. Given the diversity of disturbance types, severities, and durations, ForWarn employs multiple historical baselines that are used with current NDVI to derive a suite of six forest change products that are refreshed every 8 days. ForWarn employs daily quarter kilometer MODIS NDVI data from the Aqua and Terra satellites, including MOD13 data for deriving historical baseline NDVIs and eMODIS 7 NDVI for compiling current NDVI. In doing so, the Time Series Product Tool and the Phenological Parameters Estimation Tool are used to temporally de-noise, fuse, and aggregate current and historical MODIS NDVIs into 24 day composites refreshed every 8 days with 46 dates of products per year. The 24 day compositing interval enables disturbances to be detected, while minimizing the frequency of residual atmospheric contamination. Forest change products are

  5. AVALIAÇÃO DOS ÍNDICES DE VEGETAÇÃO NDVI, SR E TVI NA DISCRIMINAÇÃO DE FITOFISIONOMIAS DOS AMBIENTES DO PANTANAL DE CÁCERES/MT

    Directory of Open Access Journals (Sweden)

    Edinéia Aparecida dos Santos Galvanin

    2014-01-01

    Full Text Available This paper compares the performance of some vegetation indexes: Normalized Difference Vegetation Index (NDVI, Simple Ratio (SR e Transformed Vegetation Index (TVI, applied in seasonal periods to verify which one best fits to discriminate the vegetation types of environments of ‘Pantanal’ in Cáceres, Mato Grosso state, Brazil, in Landsat TM 5 image of 2009 in the dry period and 2010 in the humid period. Result verification of indexes images showed that NDVI provide a better performance than the SR and TVI indexes for different environments.

  6. 不同株型品种冬小麦NDVI变化特征及产量分析%Changes in NDVI and yield of winter wheat cultivars with different plant types

    Institute of Scientific and Technical Information of China (English)

    冯美臣; 杨武德

    2011-01-01

    Plant type and irrigation scheme are key influencing factors of real-time yield estimation and monitoring of winter wheat in precision farming. In this paper, MODIS remote sensing data were used in combination with GPS and ground-truth non-remote sensing data to determine the dynamics of normalized difference vegetation index (NDVI) of winter wheat cultivars with different plant types under irrigation and non-irrigation conditions. The relationship between NDVI and yield of different winter wheat cultivats in different growth stages was then analyzed. Results showed the trends in NDVI with developmental stages of different wheat cultivars were same, following a low-high-low curve. There were obvious differences in NDVI from jointing to booting stages for different cultivars, and NDVI for cultivars with horizontal plant types was higher than that for cultivars with erect plant types. It implied that the jointing-to-booting stage was the best period for identifying plant types of winter wheat cultivars. Even for the same cultivar, mean NDVI was obviously different at each growth stage for irrigated and non-irrigated lands. NDVI for irrigated winter wheat was higher than that for non-irrigated winter wheat, with a notable difference especially at the early heading stage. At early heading stage, NDVI was strongly correlated with yield in irrigated and non-irrigated lands. However, regression equation based on NDVI both in the early heading and filling stages gave better prediction for wheat yield than that based on NDVI only in the early heading stage. This was especially the case for non-irrigated wheat fields.%冬小麦不同株型品种和灌溉类型是影响产量遥感估测的重要因素,对二者的实时监测可以提高产量的估测精度.结合遥感数据(MODIS数据)与非遥感数据(GPS数据和外业调查资料),研究了不同株型品种冬小麦在水、旱地条件下归一化差值植被指数(NDVI)的动态变化特征,分析了不同生育

  7. Comparison of Eight Techniques for Reconstructing Multi-Satellite Sensor Time-Series NDVI Data Sets in the Heihe River Basin, China

    Directory of Open Access Journals (Sweden)

    Liying Geng

    2014-03-01

    Full Text Available More than 20 techniques have been developed to de-noise time-series vegetation index data from different satellite sensors to reconstruct long time-series data sets. Although many studies have compared Normalized Difference Vegetation Index (NDVI noise-reduction techniques, few studies have compared these techniques systematically and comprehensively. This study tested eight techniques for smoothing different vegetation types using different types of multi-temporal NDVI data (Advanced Very High Resolution Radiometer (AVHRR (Global Inventory Modeling and Map Studies (GIMMS and Pathfinder AVHRR Land (PAL, Satellite Pour l’ Observation de la Terre (SPOT VEGETATION (VGT, and Moderate Resolution Imaging Spectroradiometer (MODIS (Terra with the ultimate purpose of determining the best reconstruction technique for each type of vegetation captured with four satellite sensors. These techniques include the modified best index slope extraction (M-BISE technique, the Savitzky-Golay (S-G technique, the mean value iteration filter (MVI technique, the asymmetric Gaussian (A-G technique, the double logistic (D-L technique, the changing-weight filter (CW technique, the interpolation for data reconstruction (IDR technique, and the Whittaker smoother (WS technique. These techniques were evaluated by calculating the root mean square error (RMSE, the Akaike Information Criterion (AIC, and the Bayesian Information Criterion (BIC. The results indicate that the S-G, CW, and WS techniques perform better than the other tested techniques, while the IDR, M-BISE, and MVI techniques performed worse than the other techniques. The best de-noise technique varies with different vegetation types and NDVI data sources. The S-G performs best in most situations. In addition, the CW and WS are effective techniques that were exceeded only by the S-G technique. The assessment results are consistent in terms of the three evaluation indexes for GIMMS, PAL, and SPOT data in the study

  8. Analysis of vegetation and land cover dynamics in north-western Morocco during the last decade using MODIS NDVI time series data

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    C. Höpfner

    2011-11-01

    Full Text Available Vegetation phenology as well as the current variability and dynamics of vegetation and land cover, including its climatic and human drivers, are examined in a region in north-western Morocco that is nearly 22 700 km2 big. A gapless time series of Normalized Differenced Vegetation Index (NDVI composite raster data from 29 September 2000 to 29 September 2009 is utilised. The data have a spatial resolution of 250 m and were acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS sensor.

    The presented approach allows to compose and to analyse yearly land cover maps in a widely unknown region with scarce validated ground truth data by deriving phenological parameters. Results show that the high temporal resolution of 16 d is sufficient for (a determining local land cover better than global land cover classifications of Plant Functional Types (PFT and Global Land Cover 2000 (GLC2000 and (b for drawing conclusions on vegetation dynamics and its drivers. Areas of stably classified land cover types (i.e. areas that did not change their land cover type show climatically driven inter- and intra-annual variability with indicated influence of droughts. The presented approach to determine human-driven influence on vegetation dynamics caused by agriculture results in a more than ten times larger area compared with stably classified areas. Change detection based on yearly land cover maps shows a gain of high-productive vegetation (cropland of about 259.3 km2. Statistically significant inter-annual trends in vegetation dynamics during the last decade could however not be discovered. A sequence of correlations was respectively carried out to extract the most important periods of rainfall responsible for the production of green biomass and for the extent of land cover types. Results show that mean daily precipitation from 1 October to 15 December has high correlation results (max. r2=0.85 on an intra

  9. A procedure to derive intra-and inter-annual changes on vegetation from NDVI time series. A case study in Spain

    Energy Technology Data Exchange (ETDEWEB)

    Gilabert, M. A; Martinez, B.; Melia, J.

    2009-07-01

    The objective of this work is to study the spatial patterns of vegetation activity over spain and its temporal variability throughout the period 1989-2002. A multi-resolution analysis (MRA) bases on the wavelet transform has been implemented on NDVI time series from the MEDOKADS database. The MRA decomposes the original signal as a sum of series associated with temporal scales. Specifically, the intra-annual series is processed to define several key features in relation with the vegetation penology. In contras, the inter-annual components of the signal is used to detect trends by means of a Mann-Kendall test and map the magnitude of the land-cover change. Finally, a comprehensive identification of the areas presenting a negative value of the magnitude of change is carried out to select those linked to land degradation processes. Results show a major presence of these areas the Southeast of Spain. (Author) 5 refs.

  10. Spatial and Temporal Variability in the Onset of the Growing Season on Svalbard, Arctic Norway — Measured by MODIS-NDVI Satellite Data

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    Stein Rune Karlsen

    2014-08-01

    Full Text Available The Arctic is among the regions with the most rapid changes in climate and has the expected highest increase in temperature. Changes in the timing of phenological phases, such as onset of the growing season observed from remote sensing, are among the most sensitive bio-indicators of climate change. The study area here is the High Arctic archipelago of Svalbard, located between 76°30ʹ and 80°50ʹN. The goal of this study was to use MODIS Terra data (the MOD09Q1 and MOD09A1 surface reflectance products, both with 8-day temporal composites to map the onset of the growing season on Svalbard for the 2000–2013 period interpreted from field observations. Due to a short and intense period with greening-up and frequent cloud cover, all the cloud free data is needed, which requires reliable cloud masks. We used a combination of three cloud removing methods (State QA values, own algorithms, and manual removal. This worked well, but is time-consuming as it requires manual interpretation of cloud cover. The onset of the growing season was then mapped by a NDVI threshold method, which showed high correlation (r2 = 0.60, n = 25, p < 0.001 with field observations of flowering of Salix polaris (polar willow. However, large bias was found between NDVI-based mapped onset and field observations in bryophyte-dominated areas, which indicates that the results in these parts must be interpreted with care. On average for the 14-year period, the onset of the growing season occurs after July 1st in 68.4% of the vegetated areas of Svalbard. The mapping revealed large variability between years. The years 2000 and 2008 were extreme in terms of late onset of the growing season, and 2002 and 2013 had early onset. Overall, no clear trend in onset of the growing season for the 2000–2013 period was found.

  11. Long-term changes of soil fertility factors and their relationships with NDVI%长期土壤肥力因子变化及其与植被指数耦合关系

    Institute of Scientific and Technical Information of China (English)

    李燕丽; 潘贤章; 周睿; 王昌昆; 刘娅; 石荣杰; 陈冬峰; 赵其国

    2013-01-01

    以广西南宁、崇左地区作为典型区,利用AVHRR和MODIS NDVI遥感影像数据,以及1981年、2011年的土壤数据,分析归一化差异植被指数(NDVI)与土壤肥力因子及其变化之间的相互关系.结果表明:近30年来,土壤pH极显著下降,全氮、速效磷、速效钾含量显著上升;同时,NDVI变化整体呈现缓慢上升趋势,且NDVI变化与土壤有机质变化及土壤全氮变化呈显著正相关.因此,NDVI时间序列数据能够在一定程度上反映土壤有机质和土壤全氮含量的变化,这为土壤肥力长期变化监测提供了一种可行的方法.%Taking the Nanning and Chongzuo of Guangxi Province, South China as test areas, and by using the time-series NDVI of AVHRR and MODIS sensors and the soil data in 1981 and 2011, this paper analyzed the relationships between the normalized difference vegetation index (NDVI) and soil fertility factors, and the correlations between the long-term changes of the NDVI and soil fertility factors. In recent 30 years, the soil pH in test areas declined significantly, while the soil total nitrogen, available phosphorus, and available potassium contents had a significant increase. Meanwhile, the NDVI presented an overall slow-increasing trend, and the changes of the NDVI had significant positive relationships with those of the soil organic matter and total nitrogen, suggesting that the time-series NDVI could be used to indicate the changes of soil organic matter and total nitrogen to some extent, and hence, provide a feasible method for monitoring the long-term change of soil fertility.

  12. Tuberculosis in the twentieth century: time-series mortality in São Paulo, Brazil, 1900-97 A tuberculose através do século: séries temporais para a mortalidade em São Paulo, Brasil, 1900-97

    Directory of Open Access Journals (Sweden)

    José Leopoldo Ferreira Antunes

    1999-09-01

    Full Text Available The objective of this study was to characterize tuberculosis mortality trends in the Municipality of São Paulo, Brazil, from 1900 to 1997. Standardized tuberculosis mortality rates and proportional mortality ratios were calculated and stratified by gender and age group based on data provided by government agencies. These measures were submitted to time-series analysis. We verified distinct trends: high mortality and a stationary trend from 1900 to 1945, a heavy reduction in mortality (7.41% per year from 1945 to 1985, and a resumption of increased mortality (4.08% per year from 1985 to 1995. In 1996 and 1997 we observed a drop in tuberculosis mortality rates, which may be indicating a new downward trend for the disease. The period from 1945 to 1985 witnessed a real reduction in tuberculosis, brought about by social improvements, the introduction of therapeutic resources, and expansion of health services. Recrudescence of tuberculosis mortality from 1985 to 1995 may reflect the increasing prevalence of Mycobacterium and HIV co-infection, besides loss of quality in specific health programs.Com o objetivo de caracterizar tendências da mortalidade por tuberculose no Município de São Paulo, Brasil, 1900-1997, foram calculados e estratificados por gênero e grupo etário os coeficientes padronizados de mortalidade e as razões de mortalidade proporcional, por intermédio de dados providos por agências governamentais. Esxas medidas foram ainda submetidas à análise de séries temporais. Foram verificadas diferentes tendências: de 1900 a 1945, alta mortalidade e tendência estacionária; de 1945 a 1985, forte redução na mortalidade (7,41% por ano; e de 1985 a 1995, retomada do crescimento da mortalidade (4,08% por ano. Em 1996 e 1997, a redução observada nos coeficientes de mortalidade pode estar indicando um novo perfil descendente para a enfermidade. Os anos de 1945 a 1985 marcaram período de acentuada queda para a tuberculose, produzida

  13. Assessing impacts of meteorological drought on vegetation at catchment scale in China based on SPEI and NDVI%基于 SPEI 和 NDVI 的中国流域尺度气象干旱及植被分布时空演变

    Institute of Scientific and Technical Information of China (English)

    王兆礼; 黄泽勤; 李军; 钟睿达; 黄文炜

    2016-01-01

    Drought is a natural disaster caused by long-time water shortage and uneven water distribution, which is one of the most common disasters around the world. Under the background of global warming, droughts have become more and more frequent and devastating, causing negative impacts on agricultural production, ecological environment and social economy. For the protection of vegetation and crops, it would be of practical significance to investigate how vegetation develops under the influence of drought which varies in time and space. This research applied the standard precipitation evaporation index (SPEI) derived from high spatial resolution dataset of precipitation and evaporation, as well as the newly published normalized difference vegetation index (NDVI) which represents the growth condition of vegetation on land. Mann-Kendall (MK) test and correlation analysis were taken to study the spatial and temporal evolution of SPEI and NDVI at catchment scale with the help of ArcGIS 10.1 software. The results of the research illustrated that: 1) The MK value of SPEI at catchment scale showed great coincidence with that of the 4189 grid points both in time and space, indicating the feasibility to investigate the response of vegetation growth under the influence of meteorological drought at catchment scale. SPEI was getting increasing slightly at different time scales during 1962-2012, indicating that China as a whole was being more humid. However, taking the time series of 1982-2012 as the research object, China was getting drier slightly at different time scales. In space, both at annual and at seasonal scale, drought trends were mainly detected in catchments in the Loess Plateau area, Northeast and Southwest China, while catchments in Northwest China presented significant humidifying tendency. 2) The NDVI value of the whole China was upgrading with time during 1982-2012, among which the NDVI in spring, growing season and whole year had a significant increasing trend. In

  14. Monitoring irrigation water consumption using high resolution NDVI image time series (Sentinel-2 like). Calibration and validation in the Kairouan plain (Tunisia)

    Science.gov (United States)

    Saadi, Sameh; Simonneaux, Vincent; Boulet, Gilles; Mougenot, Bernard; Zribi, Mehrez; Lili Chabaane, Zohra

    2015-04-01

    Water scarcity is one of the main factors limiting agricultural development in semi-arid areas. It is thus of major importance to design tools allowing a better management of this resource. Remote sensing has long been used for computing evapotranspiration estimates, which is an input for crop water balance monitoring. Up to now, only medium and low resolution data (e.g. MODIS) are available on regular basis to monitor cultivated areas. However, the increasing availability of high resolution high repetitivity VIS-NIR remote sensing, like the forthcoming Sentinel-2 mission to be lunched in 2015, offers unprecedented opportunity to improve this monitoring. In this study, regional crops water consumption was estimated with the SAMIR software (Satellite of Monitoring Irrigation) using the FAO-56 dual crop coefficient water balance model fed with high resolution NDVI image time series providing estimates of both the actual basal crop coefficient (Kcb) and the vegetation fraction cover. The model includes a soil water model, requiring the knowledge of soil water holding capacity, maximum rooting depth, and water inputs. As irrigations are usually not known on large areas, they are simulated based on rules reproducing the farmer practices. The main objective of this work is to assess the operationality and accuracy of SAMIR at plot and perimeter scales, when several land use types (winter cereals, summer vegetables…), irrigation and agricultural practices are intertwined in a given landscape, including complex canopies such as sparse orchards. Meteorological ground stations were used to compute the reference evapotranspiration and get the rainfall depths. Two time series of ten and fourteen high-resolution SPOT5 have been acquired for the 2008-2009 and 2012-2013 hydrological years over an irrigated area in central Tunisia. They span the various successive crop seasons. The images were radiometrically corrected, first, using the SMAC6s Algorithm, second, using invariant

  15. A User's Version View of a Robustified, Bayesian Weighted Least-Squares Recursive Algorithm for Interpolating AVHRR-NDVI Data: Applications to an Animated Visualization of the Phenology of a Semi-Arid Study Area

    Science.gov (United States)

    Hermance, J. F.; Jacob, R. W.; Bradley, B. A.; Mustard, J. F.

    2005-12-01

    In studying vegetation patterns remotely, the objective is to draw inferences on the development of specific or general land surface phenology (LSP) as a function of space and time by determining the behavior of a parameter (in our case NDVI), when the parameter estimate may be biased by noise, data dropouts and obfuscations from atmospheric and other effects. We describe the underpinning concepts of a procedure for a robust interpolation of NDVI data that does not have the limitations of other mathematical approaches which require orthonormal basis functions (e.g. Fourier analysis). In this approach, data need not be uniformly sampled in time, nor do we expect noise to be Gaussian-distributed. Our approach is intuitive and straightforward, and is applied here to the refined modeling of LSP using 7 years of weekly and biweekly AVHRR NDVI data for a 150 x 150 km study area in central Nevada. This site is a microcosm of a broad range of vegetation classes, from irrigated agriculture with annual NDVIvalues of up to 0.7 to playas and alkali salt flats with annual NDVI values of only 0.07. Our procedure involves a form of parameter estimation employing Bayesian statistics. In utilitarian terms, the latter procedure is a method of statistical analysis (in our case, robustified, weighted least-squares recursive curve-fitting) that incorporates a variety of prior knowledge when forming current estimates of a particular process or parameter. In addition to the standard Bayesian approach, we account for outliers due to data dropouts or obfuscations because of clouds and snow cover. An initial "starting model" for the average annual cycle and long term (7 year) trend is determined by jointly fitting a common set of complex annual harmonics and a low order polynomial to an entire multi-year time series in one step. This is not a formal Fourier series in the conventional sense, but rather a set of 4 cosine and 4 sine coefficients with fundamental periods of 12, 6, 3 and 1

  16. Landscape dynamics assessment of dry climatic zones on the Baikal-Gobi transect from NDVI time series and field investigations data

    Science.gov (United States)

    Sayapina, D. O.; Zharnikova, M. A.; Tsydypov, B. Z.; Sodnomov, B. V.; Garmaev, E. Zh

    2016-11-01

    Starting in the eighties of the 20th century, the scientists of the Baikal Institute of Nature Management (BINM SB RAS) have been conducting field observations of the Transbaikalia geosystems transformation due to the change of climate and nature management. An utmost importance is placed on the study of a negative response of the land geosystems. This is shown through their deterioration, degradation, and desertification in particular. Through the years of research (1985-2015) in dry areas of the north of Central Asia, the scientists of the BINM SB RAS established a network of key sites for contact monitoring of the status and dynamics of the geosystems and the negative natural-anthropogenic processes along the Baikal-Gobi meridional transect (51-44° N, 105-107° E). The monitoring of the status and dynamics of the vegetation cover of some key sites is conducted by processing and analysis of multitemporal and multispectral Landsat and MODIS Terra imagery. An automatic analysis of the time variation of NDVI and a comparison with the progress of the index in the previous seasons are performed. The landscape indication of the key sites is made on the basis of satellite imagery and complete geobotanical descriptions. Landscape profiles and facies maps with natural boundaries are created.

  17. Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments

    Directory of Open Access Journals (Sweden)

    Grant M. Casady

    2012-03-01

    Full Text Available Post-fire vegetation response is influenced by the interaction of natural and anthropogenic factors such as topography, climate, vegetation type and restoration practices. Previous research has analyzed the relationship of some of these factors to vegetation response, but few have taken into account the effects of pre-fire restoration practices. We selected three wildfires that occurred in Bandelier National Monument (New Mexico, USA between 1999 and 2007 and three adjacent unburned control areas. We used interannual trends in the Normalized Difference Vegetation Index (NDVI time series data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS to assess vegetation response, which we define as the average potential photosynthetic activity through the summer monsoon. Topography, fire severity and restoration treatment were obtained and used to explain post-fire vegetation response. We applied parametric (Multiple Linear Regressions-MLR and non-parametric tests (Classification and Regression Trees-CART to analyze effects of fire severity, terrain and pre-fire restoration treatments (variable used in CART on post-fire vegetation response. MLR results showed strong relationships between vegetation response and environmental factors (p < 0.1, however the explanatory factors changed among treatments. CART results showed that beside fire severity and topography, pre-fire treatments strongly impact post-fire vegetation response. Results for these three fires show that pre-fire restoration conditions along with local environmental factors constitute key processes that modify post-fire vegetation response.

  18. 基于MODIS-NDVI的水稻遥感估产——以重庆三峡库区为例%Rice Yield Estimation Based on MOSIS-NDVI: Case Study of Chongqing Three Gorges Warehouse District

    Institute of Scientific and Technical Information of China (English)

    范莉; 罗孳孳

    2009-01-01

    Taking Chongqing Three Gorges warehouse District as object of study, using MODIS-NDVI as a remote sense characteristic parameter, the growth condition of rice in the key growth period was analyzed and the yields of rice was predicted. Due to limitation of saturated NDVI data, NDVI in 0.2-0.8 range in every district and crop yields was selected to establish the model of rice yield estimation, and the correlation analysis was carried out. The results showed that relation coefficient was up to 0.75 in every key growth period. The comparison of forecasting result and actual outputs showed the forecasting was above 90 % in every areas or county, indicating that MODIS NDVI could be effectively used to monitor and estimate the rice yields.%以重庆三峡库区为研究对象,利用MODIS-NDVI为遥感特征参量,分析水稻关键生育期的长势并对产量进行预测.考虑到NDVI数据饱和的局限性,选取库区各区县0.2~0.8范围内的NDVI值与作物产量建立水稻估产模型,进行相关性分析,估算出的水稻产量表明,各关键生育期的相关性系数均在0.75以上,且与实产数据对比表明,各区县预测精度均在90%以上,可见利用MODIS-NDVI能够有效的进行水稻监测和估产.

  19. Time-variations of equivalent water heights'from Grace Mission and in-situ river stages in the Amazon basin Variações temporais do equivalente à altura d'água obtidas da Missão Grace e da altura d'água in-situ nos rios da bacia Amazônica

    Directory of Open Access Journals (Sweden)

    Flavio Guilherme Vaz de Almeida

    2012-03-01

    Full Text Available Gravity Recovery and Climate Experiment (GRACE mission is dedicated to measuring temporal variations of the Earth's gravity field. In this study, the Stokes coefficients made available by Groupe de Recherche en Géodésie Spatiale (GRGS at a 10-day interval were converted into equivalent water height (EWH for a ~4-year period in the Amazon basin (from July-2002 to May-2006. The seasonal amplitudes of EWH signal are the largest on the surface of Earth and reach ~ 1250mm at that basin's center. Error budget represents ~130 mm of EWH, including formal errors on Stokes coefficient, leakage errors (12 ~ 21 mm and spectrum truncation (10 ~ 15 mm. Comparison between in situ river level time series measured at 233 ground-based hydrometric stations (HS in the Amazon basin and vertically-integrated EWH derived from GRACE is carried out in this paper. Although EWH and HS measure different water bodies, in most of the cases a high correlation (up to ~80% is detected between the HS series and EWH series at the same site. This correlation allows adjusting linear relationships between in situ and GRACE-based series for the major tributaries of the Amazon river. The regression coefficients decrease from up to down stream along the rivers reaching the theoretical value 1 at the Amazon's mouth in the Atlantic Ocean. The variation of the regression coefficients versus the distance from estuary is analysed for the largest rivers in the basin. In a second step, a classification of the proportionality between in situ and GRACE time-series is proposed.A missão espacial Gravity Recovery and Climate Experiment (GRACE é dedicada às medidas das variações temporais no campo gravitacional da Terra. Neste estudo, os coeficientes de Stokes disponibilizados pelo Groupe de Recherche en Géodésie Spatiale (GRGS com intervalos de 10 dias foram convertidos no equivalente à altura d'água (EWH para um período de 4 anos na bacia Amazônica (de julho de 2002 a maio de 2006

  20. Air pollution and hospital admissions for respiratory diseases in the subequatorial Amazon: a time series approach Poluição do ar e admissões hospitalares por doenças respiratórias na Amazônia subequatorial: abordagem de séries temporais

    Directory of Open Access Journals (Sweden)

    Eliane Ignotti

    2010-04-01

    Full Text Available The objective of the study is to evaluate the effect of the daily variation in concentrations of fine particulate matter (diameter less than 2.5µm - PM2.5 resulting from the burning of biomass on the daily number of hospitalizations of children and elderly people for respiratory diseases, in Alta Floresta and Tangará da Serra in the Brazilian Amazon in 2005. This is an ecological time series study that uses data on daily number of hospitalizations of children and the elderly for respiratory diseases, and estimated concentration of PM2.5. In Alta Floresta, the percentage increases in the relative risk (%RR of hospitalization for respiratory diseases in children were significant for the whole year and for the dry season with 3-4 day lags. In the dry season these measurements reach 6% (95%CI: 1.4-10.8. The associations were sig-nificant for moving averages of 3-5 days. The %RR for the elderly was significant for the current day of the drought, with a 6.8% increase (95%CI: 0.5-13.5 for each additional 10µg/m3 of PM2.5. No as-sociations were verified for Tangara da Serra. The PM2.5 from the burning of biomass increased hospitalizations for respiratory diseases in children and the elderly.Avaliar o efeito da variação diária nas concentrações de PM2.5 da queima de biomassa sobre o número diário de hospitalizações de crianças e idosos por doenças respiratórias, em Alta Floresta e Tangará da Serra, Amazônia brasileira, em 2005. Estudo ecológico de séries temporais de hospitalizações por doenças respiratórias de crianças e de idosos, estimativas de concentrações diárias de PM2.5, variáveis meteorológicas e de calendário. Para Alta Floresta os aumentos percentuais do risco relativo (%RR de internações por doenças respiratórias em crianças foram significantes para o ano todo e para o período de seca, com defasagens de 3-4 dias. No período de seca o incremento é de 6% (IC95%: 1,4-10,8. Para médias móveis de 3-5 dias as

  1. Alterações químicas temporais nas faixas de adubação e entrelinhas do pomar, nutrição e produção de laranja após calagem superficial Yield and temporal chemical changes in fertilizer bands and inter-rows of an orange orchard after surface liming

    Directory of Open Access Journals (Sweden)

    Jonez Fidalski

    2008-04-01

    Full Text Available Apesar das diferenças químicas entre as faixas de adubação e entrelinhas de pomares de laranjeiras, o critério para a calagem superficial entre esses dois locais ainda é desconhecido. O objetivo deste estudo foi quantificar as alterações químicas temporais nas faixas de adubação e entrelinhas, nutrição e produção de laranja "Pêra" após calagens superficiais, em um Argissolo Vermelho distrófico latossólico, no noroeste do Paraná. Quatro calagens superficiais foram realizadas entre 1996 e 1999 para elevar a saturação por bases a 70 %, a partir da primeira colheita de frutos de laranja. Os calcários dolomítico e calcítico foram distribuídos sobre seis sistemas de manejo de plantas de cobertura permanente nas entrelinhas e nas faixas de adubação, as quais foram manejadas com roçadas mecânicas e herbicida pós-emergente, respectivamente. No período de 1996 a 2004 foram coletadas amostras de tecido foliar e do solo nas profundidades de 0-20 e 20-40 cm e avaliou-se a produção de laranja. As máximas alterações químicas na camada de 0-20 cm de profundidade e no tecido foliar das laranjeiras (Ca ocorreram quatro anos após sucessivas calagens superficiais anuais. A produção de laranja correlacionou-se negativamente com Al3+ e positivamente com pH-CaCl2, Ca2+ e Mg2+ das faixas de adubação e do centro das entrelinhas. As calagens superficiais elevaram a saturação por bases na camada de 0-20 cm de profundidade até 46 % nas faixas de adubação e 64 % nas entrelinhas.Despite the chemical differences in soils under the fertilizer bands and inter-rows in orange orchards, no criterion to determine the need of liming in the two areas is yet known. The objective of this study was to quantify the temporary chemical alterations in fertilizer bands and inter-rows of a "Pêra" orange orchard as well as nutrition and fruit yield after surface liming, in a Typic Paleudults, in northwestern Paraná, Brazil. The soil surface was

  2. Estimativas de um modelo de geração e propagação de ondas empregando campos de vento com diferentes resoluções espaciais e temporais Estimatives of a generation and propagation wave model using wind fields at different spatial and temporal resolution

    Directory of Open Access Journals (Sweden)

    Frederico Francisco Ostritz

    2012-09-01

    Full Text Available O presente trabalho apresenta uma comparação entre algumas rodadas do modelo numérico de geração e propagação de ondas Wavewatch III empregando campos de vento com diferentes resoluções espaciais e temporais em uma região tropical do oceano Atlântico Sul. Os campos de vento utilizados de entrada são os da Reanálise do NCEP (com resolução espacial de cerca de 2º e resolução temporal de 6 horas, do Global Forecast System (resolução espacial de 1º e resolução temporal de 6 horas, bem como os campos de maior resolução espacial e temporal de um modelo de mesoescala (Mesoscale Modeling System, com resolução espacial de 0,2º e resolução temporal de 1 e 6 horas. As estimativas de altura significativa, período de pico e direção principal de propagação do Wavewatch III, assim como as estimativas dos ventos usados como entrada, são comparadas com as medições de ondas de um radar e de um anemômetro, ambos instalados na Bacia de Campos, sudeste do Brasil. Os resultados mostram que campos de vento com maior resolução espacial têm um impacto positivo sobre a previsão das ondas. No entanto, mantendo a mesma resolução espacial e aumentando a resolução temporal, não se obtém melhores estimativas dos campos de onda.This work presents a comparison among several runs of the numerical wave model, Wavewatch III (WW3 employing different temporal and spatial resolutions for the wind fields in a tropical area of the Southern Atlantic Ocean. The input wind fields are from the National Centers for Environmental Prediction (NCEP reanalysis, with 2º spatial resolution and 6 hours temporal resolution, the Global Forecast System (GFS analysis, with 1º spatial resolution and 6 hours temporal resolution, as well as the higher spatial and temporal resolution fields of a mesoscale model (Mesoscale Modeling System, with 0.2º spatial resolution and temporal resolution of 1 and 6 hours. The WW3 estimates of significant wave height

  3. 我国西北地区东部时间序列 NDVI数据集重建方法比较研究%Comparative studies of reconstruction methods for the long term NDVI dataset in the east of Northwest China

    Institute of Scientific and Technical Information of China (English)

    王玮; 郭铌; 沙莎; 胡蝶; 王小平; 李耀辉

    2016-01-01

    A high-level time-series NDVI dataset is not only the basis for continuous monitoring of the land sur-face,but also an important tool for studying change related to climate and land use factors in terrestrial eco-systems.We reconstructed the noise component of the LTDR NDVI data for the east of Northwestern China where the ecosystem is fragile,using various time-series reconstruction methods.This paper use agrometeoro-logical data and high-level NDVI data to evaluate the accuracy of different reconstruction methods.The results show that:1)The vegetation or crop land cover is an important factor affecting fitted results of the various re-construction methods.Each reconstruction method has a different noise reduction ability depending on differ-ences in vegetation or crop growth characters;2)The D-L reconstruction method has a better noise reduction ability and applicability in those areas of grassland,and woodland for which the annual average NDVI data is higher (NDVI≥0.3)and the NDVI curve has obvious seasonal changes;3)The S-G reconstruction method has better fidelity ability and applicability in some areas of crop land in winter wheat and in areas of sparse vegeta-tion for which annual average NDVI data are lower (NDVI<0.3)and where the NDVI curve have no obvious seasonal changes.%高质量、长时序归一化植被指数(NDVI)数据集不仅是连续监测陆地表面特征的基础,也是研究气候与陆地生态系统变化的重要参数。本研究以生态环境较为脆弱的西北地区东部为例,借助多种时间序列重建方法对 LT-DR NDVI 数据集中的噪声进行拟合重建,并结合农业气象资料和高质量 NDVI 数据,对不同重建方法的拟合结果开展适用性评价分析,结果表明,1)下垫面类型是影响重建方法拟合效果的重要因素。根据不同植被类型或作物生长特点,每种重建方法对其噪声消除能力有所不同;2)在年均 NDVI 较高(NDVI≥0.3

  4. Evapotranspiração real obtida através da relação entre o coeficiente dual de cultura da FAO-56 e o NDVI Real actual evapotranspiration obtained through the relationship between the FAO-56 crop dual coefficient and NDVI

    Directory of Open Access Journals (Sweden)

    Bergson Guedes Bezerra

    2010-09-01

    Full Text Available Um requisito fundamental para adoção de manejo da irrigação é a determinação diária da evapotranspiração (ET das culturas. Em caráter operacional o método do coeficiente de cultura proposto pela Food Agriculture Organization (FAO, através do seu relatório 56 (Irrigation and Drainage Paper, é largamente utilizado na determinação da ET, e tem apresentado precisões que o tornam mundialmente aceito. A ET com base no coeficiente de cultura (Kc, obtido a partir de índices de vegetação, particularmente o NDVI, tem sido calculada em vários estudos e para diversas culturas alcançando muita precisão, quando comparado com observações de campo. Diante do exposto, este trabalho teve por objetivo calcular a ET diária e sazonal da cultura do algodoeiro utilizando o método do Kc dual obtido em função do Índice de Vegetação por Diferença Normalizada - NDVI, obtido a partir de imagens TM - Landsat 5 livre da presença de nuvens. Os resultados revelaram precisões bastante confiáveis, pois foram verificadas diferenças menores que 10%, quando comparados com valores da ET obtidos pela técnica da Bowen, corroborando com o desempenho alcançado pelo método em outras pesquisas realizadas em outras regiões do planeta. Dessa forma, pode-se concluir que o método apresenta bastante confiabilidade e simplicidade.A fundamental requirement for adoption of irrigation management is to determine the crop daily evapotranspiration (ET. On an operational basis the crop coefficient method proposed by the Food and Agriculture Organization (FAO through its report 56 (Irrigation and Drainage Paper is widely used in the determination of ET and due to its accurate estimative, it has been globally accepted. The ET-based crop coefficient (Kc obtained from vegetation indices, particularly the Vegetation Index Normalized Difference (NDVI has been measured in several studies and various crops showing great accuracy when compared to field observations

  5. 基于NDVI的石林风景区植被覆盖动态变化对比研究%Comparative Study on Dynamics of Vegetation of Stone Forest Scenic Spot based on NDVI

    Institute of Scientific and Technical Information of China (English)

    陈有君

    2009-01-01

    Based on the method of NDVI, the NDVI of Stone Forest and other areas of Shilin county were calculated and analyzed by choosing the data of Landsat in 1977, TM in 1992, ETM and satellite image in 2000. The results indicated that the vegetation coverage of stone forest scenic spot showed the tendency of declination, decreased from 62.17 % in 1977 to 60.07 % in 2000, the reasons for this result were analyzed as well.%基于归一化植被指数(NDVI)分析方法,选用1977年Landsat、1992年TM、2000年ETM+卫星影像,分别对石林风景区及石林县除石林风景区外的NDVI进行了计算和分析,结果认为,1977~2000年石林风景区植被覆盖度整体呈下降趋势,由1977年的62.15%下降到2000年的60.07%.对造成这一结果的原因进行了浅析.

  6. 桂林市NDVI、地表温度的地物特征及相关性研究%A Research on Land Features and Correlation between NDVI and Land Surface Temperature in Guilin City

    Institute of Scientific and Technical Information of China (English)

    梁保平; 李艺; 陈可宙

    2012-01-01

    The information of NDVI and Land Surface Temperature(LST) were extracted based on TM images in 2006 taking Guilin city as an example.Through the contrastive analysis of the two indices statistical characteristics in different landcover types,the paper discusses the linear relationship between NDVI and LST,regional altitude.The results show that the forest have the largest average value of NDVI,water is the minimum;the construction have the highest average value of LST,forest is the minimum.From the whole of the regional perspective,NDVI and LST have a significant negative correlation.The correlation between NDVI and altitude is segmented characteristics,whichis not apparent in low altitude area(160 m),when the altitude of more than 160 m,the correlation of both presents a significantly positive correlation.%以桂林市作为研究区域,利用2006年的TM影像数据提取了区域归一化植被指数(NDVI)和地表温度(LST)信息,分析了不同地物类型两参数的统计学特征,进一步探讨了植被指数与地表温度和海拔高度之间的线性关系。结果表明:NDVI均值最大的地物类别为林地,最小的为水体;地表温度均值最高的为建设用地,最小的为林地;从整个区域上看,NDVI与地表温度之间存在明显的负相关关系,NDVI与海拔高度h的相关性呈现分段式特征,在低海拔区域(160m以下),两者之间相关性不明显,海拔高度超过160m时,NDVI与海拔高度之间则呈现显著的正相关关系。

  7. Distribución espacial de anomalías del NDVI derivado del sensor VEGETATION SPOT 4/5 ysu relación con las coberturas vegetales, usos de la tierra y características geomorfológicas en la provincia de Santiago del Estero, Argentina / Spatial distribution of anomalies of NDVI derived from sensor VEGETATION SPOT 4/5 and its relation with vegetation cover, uses of ground and geomorphology in Santiago del Estero, Argentina

    Directory of Open Access Journals (Sweden)

    Jose Luis Tiedermann

    2010-12-01

    Full Text Available Se determinaron las anomalías negativas (AN y positivas (AP del NDVI derivado del sensor VEGETATION SPOT 4/5, en la provincia de Santiago del Estero, Argentina. El periodo analizado (1998-2008 tuvo fuertes variaciones en los patrones de precipitación, por efecto del ENSO, por cuanto las anomalías del NDVI fueron evaluadas, mediante tabulación cruzada, en función de dos periodos: húmedo (PH y seco (PS. Las AN, se relacionaron, durante todo el periodo, con vegetación halófila en áreas deprimidas salobres, con vegetación hidrófila en ambientes acuáticos y con suelo rocoso. Durante el PS, las AN se relacionaron con áreas deforestadas con fines agrícolas. Las AP, se relacionaron, durante todo el periodo, con el bosque Chaqueño denso y bosque Chaqueño Serrano denso. La mayor estabilidad y productividad de biomasa verde de los bosques, estaría relacionada, a su mayor biodiversidad, estratificación, al predominio de especies leñosas perennes de raíces profundas y a las estratégicas adaptaciones, morfológicas y fisiológicas, para el uso eficiente del agua. Las regiones geomorfológicas no se relacionan entre si entre periodos.AbstractThe negative (AN and positive (AP anomalies of the NDVI derived from sensor VEGETATION SPOT 4/5 were determined in the province of Santiago del Estero, Argentina. The analyzed period (1998-2008 presented strong variations in rainfall patterns, as a result of the ENSO, inasmuch as the anomalies of the NDVI were evaluated, by means of crossed tabulation, based on two periods: humid (PH and dry (PS. The AN, were related with halophytic species of depressed areas, with vegetation aquatic hydrophilic and rocky ground. During the dry period, the AN were related to deforested areas with agricultural aims. The AP, were related, throughout the period with the forest dense Chaco Semiarid and forest dense Chaco Serrano. The greater stability and productivity of green biomass of forest, would be related, greater

  8. 多种时序NDVI重建方法比较与应用分析%Comparison and Application Analysis of Several NDVI Time-Series Reconstruction Methods

    Institute of Scientific and Technical Information of China (English)

    张晗; 任志远

    2014-01-01

    NDVI时序数列能够模拟植物的生长过程,反映其生长状况。目前重建NDVI时序数列的方法有很多,由于模型和参数的不同导致结果存在不确定性以及偏差。本研究旨在对比3种模型(Whittaker平滑、HANTS和Savitzky-Golay滤波)在物候提取和复种指数提取中的应用,以探讨各模型的优缺点。采用16 d间隔的MODIS MOD13Q12000-2012年陕西地区影像,利用3种模型拟合重建NDVI时序数列。首先,将研究区划分为3个气候区,每区分别选择林地和耕地两个采样点,视觉比较各采样点3种模型拟合效果。其次,通过均方根误差、相关系数和信噪比对比各模型拟合精度,并探讨不同植被类型之间拟合精度的差异。然后,采用动态阈值法提取13年植被物候参数(生长开始日期SOS、生长结束日期EOS、生长周期LOS),对比模型提取不同植被类型物候参数均值和标准差的差异。最后,利用二次差分算法和提取规则获取陕西13年复种指数,对比3种模型提取和统计年鉴计算复种指数之间的差异。Savitzky-Golay 滤波拟合精度较高,复种指数提取精度较高,但是提取物候参数方面存在较大误差;HANTS提取物候参数效果较好,但参数设置复杂以及精度较差;Whittaker平滑参数设置简单,能有效降低原始影像的信噪比,在精度和物候参数提取均表现良好;均方根误差和相关系数作为精度检验的标准,二者存在负相关,相关系数比均方根误差更灵敏。Whittaker平滑能够很好地平衡NDVI时序数列的保真度和粗糙度,在提取物候参数方面表现良好,在提取复种指数方面还有待进一步研究。%[Objective]NDVI time-series can simulate plant growth and reflect its growing status. Several models have been fitted in the past to smooth time-series vegetation index data from different satellite sensors. However, differences

  9. Absolute Radiometric Calibration of the GÖKTÜRK-2 Satellite Sensor Using Tuz GÖLÜ (landnet Site) from Ndvi Perspective

    Science.gov (United States)

    Sakarya, Ufuk; Hakkı Demirhan, İsmail; Seda Deveci, Hüsne; Teke, Mustafa; Demirkesen, Can; Küpçü, Ramazan; Feray Öztoprak, A.; Efendioğlu, Mehmet; Fehmi Şimşek, F.; Berke, Erdinç; Zübeyde Gürbüz, Sevgi

    2016-06-01

    TÜBİTAK UZAY has conducted a research study on the use of space-based satellite resources for several aspects of agriculture. Especially, there are two precision agriculture related projects: HASSAS (Widespread application of sustainable precision agriculture practices in Southeastern Anatolia Project Region (GAP) Project) and AKTAR (Smart Agriculture Feasibility Project). The HASSAS project aims to study development of precision agriculture practice in GAP region. Multi-spectral satellite imagery and aerial hyperspectral data along with ground measurements was collected to analyze data in an information system. AKTAR aims to develop models for irrigation, fertilization and spectral signatures of crops in Inner Anatolia. By the end of the project precision agriculture practices to control irrigation, fertilization, pesticide and estimation of crop yield will be developed. Analyzing the phenology of crops using NDVI is critical for the projects. For this reason, absolute radiometric calibration of the Red and NIR bands in space-based satellite sensors is an important issue. The Göktürk-2 satellite is an earth observation satellite which was designed and built in Turkey and was launched in 2012. The Göktürk-2 satellite sensor has a resolution 2.5 meters in panchromatic and 5 meters in R/G/B/NIR bands. The absolute radiometric calibration of the Göktürk-2 satellite sensor was performed via the ground-based measurements - spectra-radiometer, sun photometer, and meteorological station- in Tuz Gölü cal/val site in 2015. In this paper, the first ground-based absolute radiometric calibration results of the Göktürk-2 satellite sensor using Tuz Gölü is demonstrated. The absolute radiometric calibration results of this paper are compared with the published cross-calibration results of the Göktürk-2 satellite sensor utilizing Landsat 8 imagery. According to the experimental comparison results, the Göktürk-2 satellite sensor coefficients for red and NIR bands

  10. ABSOLUTE RADIOMETRIC CALIBRATION OF THE GÖKTÜRK-2 SATELLITE SENSOR USING TUZ GÖLÜ (LANDNET SITE FROM NDVI PERSPECTIVE

    Directory of Open Access Journals (Sweden)

    U. Sakarya

    2016-06-01

    Full Text Available TÜBİTAK UZAY has conducted a research study on the use of space-based satellite resources for several aspects of agriculture. Especially, there are two precision agriculture related projects: HASSAS (Widespread application of sustainable precision agriculture practices in Southeastern Anatolia Project Region (GAP Project and AKTAR (Smart Agriculture Feasibility Project. The HASSAS project aims to study development of precision agriculture practice in GAP region. Multi-spectral satellite imagery and aerial hyperspectral data along with ground measurements was collected to analyze data in an information system. AKTAR aims to develop models for irrigation, fertilization and spectral signatures of crops in Inner Anatolia. By the end of the project precision agriculture practices to control irrigation, fertilization, pesticide and estimation of crop yield will be developed. Analyzing the phenology of crops using NDVI is critical for the projects. For this reason, absolute radiometric calibration of the Red and NIR bands in space-based satellite sensors is an important issue. The Göktürk-2 satellite is an earth observation satellite which was designed and built in Turkey and was launched in 2012. The Göktürk-2 satellite sensor has a resolution 2.5 meters in panchromatic and 5 meters in R/G/B/NIR bands. The absolute radiometric calibration of the Göktürk-2 satellite sensor was performed via the ground-based measurements - spectra-radiometer, sun photometer, and meteorological station- in Tuz Gölü cal/val site in 2015. In this paper, the first ground-based absolute radiometric calibration results of the Göktürk-2 satellite sensor using Tuz Gölü is demonstrated. The absolute radiometric calibration results of this paper are compared with the published cross-calibration results of the Göktürk-2 satellite sensor utilizing Landsat 8 imagery. According to the experimental comparison results, the Göktürk-2 satellite sensor coefficients for

  11. 重庆2006年夏季特大干旱期间的NDVI与城市热岛%Analysis of NDVI and Urban Heat Island during the Unusual Drought in 2006 Summer in Chongqing

    Institute of Scientific and Technical Information of China (English)

    何泽能; 杨世琦; 易佳

    2011-01-01

    为了深入了解特大干旱期间的城市热岛现象和规律,以MODIS遥感资料和重庆市主城及其周边地区的自动气象站观测资料为基础,探讨了2006年夏季重庆市特大干旱期间的植被指数NDVI和城市热岛.结果表明:2006年夏季,重庆市NDVI的变化规律是:在时间上,基本呈逐渐减小的趋势,与2006年夏季重庆市特大干旱的发展过程较为一致.在干旱的整个时段内,NDVI与热岛强度总体上呈负相关关系,NDVI值越高,热岛效应越弱.城区和郊区干旱的非同步性导致了干旱在初中期主要起增强城市热岛效应的作用,而在后期则有减弱城市热岛效应的作用.总的来说,干旱的出现加重了城市热岛效应.%In order to learn about urban heat island phenomena and disciplinarian during the unusual drought period, the MODIS remote sensing data and temperature data measured in automatic weather stations, which distributed in the urban and suburb were used to investigate the relation of NDVI and urban heat island during the unusual drought in 2006 summer in Chongqing. The result showed that in 2006 summer, the NDVI decreased with time, which mainly was consistent with the change trend of drought in 2006 summer in Chongqing. In the whole period of drought, in the mass NDVI negatively correlate with the urban heat island,the higher the NDVI was, the feebler the urban heat island was. Because of non-synchronization of drought in urban and suburb areas, in the early period drought strengthened urban heat island and in the later period of drought, it weakened urban heat island. All in all, the appearance of drought aggravated the degree of urban heat island.

  12. Evaluation of cropland productivity in the Hebei Plain via graded multi-year MODIS-NDVI data%基于多年MODIS NDVI分级的河北平原农田生产力评价

    Institute of Scientific and Technical Information of China (English)

    王芯; 李红军; 雷玉平

    2011-01-01

    根据中等分辨率航天成像光谱仪(MODIS)遥感数据计算的归一化植被指数(NDVI)被广泛用于作物长势监测和产量预报,但由于NDVI数值在不同年份的同一时期变化较大,直接用于评价农田生产力会有较大误差.本文以河北平原所在的北纬37°~39°之间连续种植的冬小麦农田为研究区域,通过对多年冬小麦MODISNDVI数据进行比较和分级,尝试用每季ND VI在区域内的高低级别评估区域农田生产力.Landsat卫星数据用于对不同时相MODIS图像进行精确配准,从而实现像素尺度上长时间序列数据的统计分析.首先,对区域内2000~2008年间每年作物返青期到成熟期的NDVI平均值及各生育阶段NDVI平均值分别进行高低分级,以了解河北平原农田生产力的空间变异,结果显示其中高水平农田分布在太行山山前平原,指数等级水平并没有完全按南北走向趋势分布,表明该研究方法受纬度差异的影响较小.不同年份分析结果显示,2008年东部地区也出现了较高等级的田块.其次,利用ND VI分级结果计算出9年间ND VI等级的变异系数,对采用不同生育期ND VI可能带来的误差进行了分析,结果显示不同小麦生育期NDVI等级的变异系数不同,返青期和成熟期变异系数较大,且具有一定的地理差异.最后,利用GIS空间分析方法以9年NDVI分级结果为基础制作了以县为单元的麦田生产力等级图,结果显示河北平原农田生产力高低分区,同时也表明中低水平区块有较大提升空间,为河北县级土地管理和耕地质量管理提供理论依据.%Moderate resolution imaging spectroradiometer sensor (MODIS) provides high-temporal, medium-spatial resolution science-quality global land cover data. Calculated normalized differential vegetation index {NDVI) from MODIS data is widely used for crop growth monitoring and yield forecasting. However, variations of NDVI values in the same season of

  13. Applied Research on Distribution of Saline-alkali Soil Based on NDVI Index Inversion Technology%基于NDVI指数反演技术的盐碱土壤分布应用研究

    Institute of Scientific and Technical Information of China (English)

    张建杰; 郭彩霞; 王文斌; 苏尚军; 张强

    2013-01-01

    The distribution of saline-alkali soil and the degree of salinity were investigated in the Sanggan River Valley of Datong Basin by the remote sensing image processing methods,such as the supervised classification,NDVI index,etc. The distribution of saline-alkali soil was indicated based on the image of Landsat and NDVI index,and the results were compared with the second soil census and the filed survey. The results showed that the distribution and salinization degree of saline-alkali soil could be reflected dynamically with macroscopic scale by remote sensing information technology.%利用监督分类、NDVI指数等遥感影像处理方法,在大同盆地桑干河流域开展了土壤盐碱地分布及盐渍化程度的应用研究。基于Landsat卫星影像,依据NDVI指数推断了盐碱土壤的分布,与第二次土壤普查和实地调查的结果进行了比较。结果表明,遥感信息技术可以宏观、动态地有效反映出盐碱地的分布及盐渍化程度。

  14. Effects of short term and long term soil warming on ecosystem phenology of a sub-arctic grassland: an NDVI-based approach

    Science.gov (United States)

    Leblans, Niki; Sigurdsson, Bjarni D.; Janssens, Ivan A.

    2014-05-01

    Phenology has been defined as the study of the timing of recurring biological events and the causes of their timing with regard to abiotic and biotic factors. Ecosystem phenology, including the onset of the growing season and its senescence in autumn, plays an important role in the carbon, water and energy exchange between biosphere and atmosphere at higher latitudes. Factors that influence ecosystem phenology can therefore induce important climate-controlling feedback mechanisms. Global surface temperatures have been predicted to increase in the coming decades. Hence, a better understanding of the effect of temperature on ecosystem phenology is essential. Natural geothermal soil temperature gradients in Iceland offer a unique opportunity to study the soil temperature (Ts) dependence of ecosystem phenology and distinguish short-term (transient) warming effects (in recently established Ts gradients) from long-term (permanent) effects (in centuries-old Ts gradients). This research was performed in the framework of an international research project (ForHot; www.forhot.is). ForHot includes two natural grassland areas with gradients in Ts, dominated by Festuca sp., Agrostis sp.. The first warmed area was created in 2008, when an earthquake in S-Iceland caused geothermal systems to be shifted to previously cold soils. The second area is located about 3 km away from this newly warmed grassland. For this area, there are proofs that the natural soil warming has been continuous for at least 300 year. In the present study we focus on Ts elevation gradients of +0 to +10°C. The experiment consists of five transects with five temperature levels (+0,+1,+3,+5 and +10°C) in the two aforementioned grassland ecosystems (n=25 in each grassland). From April until November 2013, weekly measurements of the normalized difference vegetation index (NDVI) were taken. In the short-term warmed grassland, the greening of the vegetation was 36 days advanced at +10°C Ts and the date of 50

  15. 基于MODIS/NDVI的新疆伊犁河谷植被变化%Vegetation dynamics in Ili River valley of Xinjiang based on MODIS/NDVI

    Institute of Scientific and Technical Information of China (English)

    闫俊杰; 乔木; 周宏飞; 周生斌; 卢磊; 宋鹏

    2013-01-01

    利用2000-2010年16d合成的MODIS/NDVI数据,结合植被异常指数、趋势线分析和Hurst 指数等分析方法,对新疆伊犁河谷植被覆盖的时空变化特征进行了分析.结果表明:(1)伊犁河谷内植被覆盖随海拔增高而先增加后减小,最高植被覆盖区位于2000~2 500m的高程带;2000-2010年伊犁河谷各高程带内植被覆盖整体下降趋势明显,但海拔低于1000m的高程带除外.(2)受干湿环境影响,伊犁河谷全区平均被植异常指数最高值出现在降水最多的2002年,最低值出现在降水最少的2008年,但不同区域植被异常指数的变化存在较大差异.(3)伊犁河谷内植被覆盖增加和减小的区域分别占总面积的4.09%和19.34%,增加区域主要位于伊犁河两岸的平原区,减小区域主要位于乌孙山两端以及伊犁河谷周围海拔2000m左右的低山区域;变标度极差分析结果表明,伊犁河谷内植被覆盖年际变化呈现很强的持续性,未来一定时间内将保持现有变化趋势不变.%16-day composite data set of normalized difference vegetation index (NDVI) from an moderate-resolu-tion imaging spectroradiometer(MODIS) was used to capture essential feature of temporal and spatial vegetation variability in Ili River valley of Xinjiang during the 2000-2010 period.Various statistical analyses involving vegetation anomaly index,linear regression analysis and Hurst index were applied.Examination shows as follows:(1) Vegetation cover of Ili River Valley increases firstly and then decreases as altitude increases,with highest vegetation cover located in the area with the altitude from 2 000 to 2 500 m.Generally,vegetation cover of different elevation zones of Ili River valley followed a decreasing trend during the period of 2000-2010,not including the areas located below 1 000 m above the sea level.(2)As vegetation anomaly index is subject to humidity of the air,so the highest spatially averaged vegetation anomaly index value

  16. 用EOS/MODIS-NDVI监测枣树生长状况的分析%Study of Jujube Growth Situation to be Monitored with EOS/MODIS-NDVI Data

    Institute of Scientific and Technical Information of China (English)

    张学艺; 戴小笠; 张玉兰; 段晓凤; 官景得; 马力文

    2012-01-01

    This paper proved that remote sensing technology could be used to monitor the growth situation of jujube based on the data collected from two long-jujube planting bases, Ningxia Lingwu Racecourse Lake farm and Lingwu gardening field, as research objects. Based on the analysis of the cloudless sky EOS/MODIS data of the jujube child-bearing period from 2005 to 2009 through the Ningxia border, combined with GPS investigation and the indicators of jujube meteorological disaster occurred, the relationship between the NDVI changes and the meteorological disaster happened during the whole jujube growth period was revealed. It was finding that the NDVI curve during the whole growth stages of the jujube was a double peak type. The influence of the overwintering cold injury was more severe to the early growth stage of jujube, whereas the injury effect vanished over time. Further deep analysis of frost damage and variation coefficient indicated that the injury effect of the overwintering cold was severer to the Lingwu gardening field compared with the Lingwu Racecourse Lake farm. From the impact of florescence hot dry weather in late June, jujube NDVI values in early July to mid-August on the whole year lower than normal. However, the effects disappeared till late of August. In a summary, MODIS-NDVI could be used to monitor meteorological disasters rapidly, and provided the technical supports and guidance in the field of meteorological disaster prevention and selection of cultivation area.%为研究遥感技术监测宁夏枣树生长状况,以宁夏灵武马场湖农场和灵武园艺场两个长枣种植基地为研究对象,结合GPS调查、整理2005—2009年红枣生育期过宁夏境内EOS/MODIS晴空资料,并依据红枣气象灾害发生指标,分析红枣生育期归一化植被指数INDV变化及受灾前后的变化规律.结果表明,枣树全生育期INDv变化曲线为双峰型,越冬冻害对枣树前期生长影响大,并随时间推移

  17. Integration of Multisensor Remote Sensing Data for the Retrieval of Consistent Times Series of High-Resolution NDVI Images for Crop Monitoring in Landscapes Dominated By Small-Scale Farming Agricultural

    Science.gov (United States)

    Sedano, F.; Kempeneers, P.

    2014-12-01

    There is a need for timely and accurate information of food supply and early warnings of production shortfalls. Crop growth models commonly rely on information on vegetation dynamics from low and moderate spatial resolution remote sensing imagery. While the short revisit period of these sensors captures the temporal dynamics of crops, they are not able to monitor small-scale farming areas where environmental factors, crop type and management practices often vary at subpixel level. Although better suited to retrieve fine spatial structure, time series of higher resolution imagery (circa 30 m) are often incomplete due to larger revisit periods and persistent cloud coverage. However, as the Landsat archive expands and more fine resolution Earth observation sensors become available, the possibilities of multisensor integration to monitor crop dynamics with higher level of spatial detail are expanding. We have integrated remote sensing imagery from two moderate resolution sensors (MODIS and PROBA-V) and three medium resolution platforms (Landsat 7- 8; and DMC) to improve the characterization of vegetation dynamics in agricultural landscapes dominated by small-scale farms. We applied a data assimilation method to produce complete temporal sequences of synthetic medium-resolution NDVI images. The method implements a Kalman filter recursive algorithm that incorporates models, observations and their respective uncertainties to generate medium-resolution images at time steps for which only moderate-resolution imagery is available. The results for the study sites show that the time series of synthetic NDVI images captured seasonal vegetation dynamics and maintained the spatial structure of the landscape at higher spatial resolution. A more detailed characterization of spatiotemporal dynamics of vegetation in agricultural systems has the potential to improve the estimates of crop growth models and allow a more precise monitoring and forecasting of crop productivity.

  18. 基于NDVI的临汾市植被覆盖动态变化遥感监测研究%Study of the Vegetation Coverage Changes based on NDVI in Linfen City by Remote Sensing

    Institute of Scientific and Technical Information of China (English)

    尹超; 王艳芳; 张爱国

    2011-01-01

    The vegetation coverage change was extracted by NDVI rapidly. In this paper, there were TM/ETM images of Lin- fen, which acquired 1990s and early 20th, selected. The vegetation coverage were calculated based on NDVI. The vegetation coverage and its changes between 1990 and 2002 were also analyzed. The result showed that: the vegetation coverage increased from 39.61% in 1990 to 41.77% in 2002 ; the decreasing rate of very lower vegetation coverage was 57.69% ; the increasing rate of high vegeta- tion coverage was 9.67%.%利用归一化植被指数NDVI能够快速获取地表植被覆盖度及其变化信息,本文利用临汾市90年代和2l世纪初的TM和ETM影像,基于归一化植被指数NDVI,计算出两期的植被覆盖度,并对1990年~2002年问植被覆盖的变化情况进行了遥感监测及原因分析.结果表明,临汾市的植被覆盖度由1990年的39.61%上升为2002年的41.77%,极低覆盖度区域大面积减少,减少率为57.69%,高植被覆盖度区域植被面积有所增加,增加率为9.67%.

  19. 利用NDVI估算云覆盖地区的植被表面温度研究%Study on Estimation of Vegetation Surface Temperature in Cloudy Region by NDVI

    Institute of Scientific and Technical Information of China (English)

    刘梅; 覃志豪; 涂丽丽; 张军

    2011-01-01

    Drought monitoring and other practical applications all need to obtain comprehensive spatial distribution of LST,but cloud cover is a major barrier of this process.We attempt to study the method of estimating vegetation surface temperature of cloudy areas in the remote sensing images by the relationship between changes of LST and ground vegetation.Because of the vegetation transpiration,the density of vegetation has a great effect on changes of spatial distribution of LST.This effect not only exists in cloudless areas,but also can be applied to the cloudy areas.Therefore,we first analyzed the relationship between LST and NDVI in cloudless areas which were nearby cloudy areas and established the equation;Then we used the feature that NDVI was stable within a short time to acquire NDVI value of cloudy areas.At last,we estimated the LST of cloudy areas according to the relationship between the NDVI and LST.We applied this method to Landsat ETM+ images of Liaocheng city in Shandong province.The results show that,when the cloudy area is within or equal to 2 000 pixels(about 1.72 km2),the mean absolute error(MAE) of LST in cloudy area which estimated through NDVI is little than 0.7 ℃,the RMS is1.2 ℃.In order to verify its practicality,we also applied the method to TM images of Bengbu in Anhui province,when cloudy area is within 300 pixels,the MAE is less than 0.1 ℃.Hence,it can be argued that when the range of cloudy area is not very large,using NDVI to estimate the LST of cloudy area has certain feasibility.%干旱监测等实际应用都需要全面掌握地表温度(LST)的空间分布,而云覆盖是这种应用的重要阻碍。试图根据地表温度变化与地表植被之间的相互关系,研究遥感影像中云覆盖区域植被表面温度的估算方法。由于植被的蒸腾作用,植被茂密程度对其表面温度的空间分布有较大影响。这种影响不仅在晴朗无云区域存在,同样适用于云覆盖区域。因此,

  20. Long-term trends in Arctic and Boreal CO2 uptake from 1986 to 2007 inferred from a time dependent inversion compared with satellite NDVI observations to identify likely regions of change

    Science.gov (United States)

    Welp, L. R.; Keeling, R. F.; Patra, P. K.; Nemani, R.; Piper, S. C.

    2011-12-01

    Here we examine long-term trends in CO2 fluxes inverted from atmospheric CO2 concentrations using interannually varying reanalysis transport and seasonally variable fossil fuel emission estimates. We then compare annual and seasonal trends in CO2 fluxes with observations of 1x1 degree resolution NDVI from the AVHRR/MODIS satellite records to see where there is potential co-variance between CO2 source/sink behavior and photosynthetic activity. Temperature increases and elevated atmospheric CO2 concentrations over the last several decades have been credited with increasing vegetation growth in the high northern latitudes and increasing photosynthetic uptake of CO2 from the atmosphere. This climate-carbon negative feedback may help stabilize atmospheric CO2 and temperature. Alternatively, warming of boreal and tundra ecosystems may stimulate heterotrophic respiration more than photosynthesis leading to net CO2 release from the ecosystems to the atmosphere, switching the climate-carbon feedback to a positive, destabilizing relation, warming the planet even more. In addition, satellite evidence points to large regions of the boreal forest that were 'greening' prior to the late 1990s due to more favorable growing conditions, and regions that have been 'browning' since the late 1990s as a result of climate-induced stress or insect and fire disturbance, further decreasing the CO2 uptake potential of boreal forests. Our results show that the land zone north of 60°N, encompassing the tundra biome and excluding Europe (10°W - 63°E), had no significant long-term trend in annual CO2 uptake. The seasonal amplitude of the CO2 flux increased due to enhanced summer uptake as well as fall release, which largely canceled in the annual sum. Comparing July CO2 uptake north of 60°N from 1986 to 2007 with gridded NDVI over the same period showed the strongest correlation in the tundra of North America and Asia. The inversion analysis calculated an increase of 0.29 g C m-2 day-1

  1. 基于NDVI加权指数的冬小麦种植面积遥感监测%Remote sensing monitoring winter wheat area based on weighted NDVI index

    Institute of Scientific and Technical Information of China (English)

    王利民; 刘佳; 杨玲波; 杨福刚; 滕飞; 王小龙

    2016-01-01

    该文针对农业信息服务中冬小麦种植面积调查业务的现状与需求,提出了一种基于NDVI(normal difference vegetation index)时间序列的冬小麦NDVI加权指数(WNDVI,weighted NDVI index)影像算法,可在训练样本、验证样本选择的基础上实现冬小麦面积的自动提取,并以河北省安平县及周边地区2013-2014年度冬小麦面积提取为例,采用GF-1/WFV(wide field view)数据进行了算法实现。算法的主要思路是在时序影像基础上,通过冬小麦NDVI加权指数影像的构建,扩大冬小麦地类与其他地类的差异,结合自适应的阈值获取方法,区分冬小麦地类,获取冬小麦作物面积。算法包括冬小麦时间序列影像的获取、基于网格的样本点设置、构建冬小麦 NDVI 加权指数影像、迭代确定冬小麦NDVI加权指数提取阈值、精度验证这5个部分。影像的获取根据冬小麦的生长时间确定,保证每月1景GF-1/WFV无云影像,并进行预处理及NDVI计算;同时将研究区划分为一定数量的网格,每个网格再等分为2×2个子网格,根据目视解译、专家知识、实地调查等方法,确定左上网格中心点及右下网格中心点的地物类型。统计该期所有左上网格点冬小麦及其他地物的NDVI均值,冬小麦NDVI大于其他地物的将该期影像的权值设置为1,否则设置为−1,将所有时相NDVI影像进行加权平均,即可获取冬小麦NDVI加权指数影像。获取冬小麦NDVI加权指数影像后,还需设置合适的阈值提取冬小麦。该文选用右下网格点目视解译分类结果作为阈值提取依据,具体方法是将冬小麦指数从小到大按照一定间隔划分,作为冬小麦 NDVI 加权指数提取阈值,将各阈值二值法运用,与右下网格点的冬小麦提取的目视解译结果对比,精度最高的就是最优冬小麦 NDVI 加权指数分割阈值。在所有

  2. Evaluation of winter wheat productivity in Huang-Huai-Hai region by multi-year graded MODIS-NDVI%基于多年MODIS-NDVI的黄淮海农区冬小麦生产力评价

    Institute of Scientific and Technical Information of China (English)

    黄珂; 刘忠; 杨丽芳

    2014-01-01

    黄淮海农区是中国重要的粮食生产基地,研究该地区不同等级生产力耕地的空间分布,对提高该地区生产力有重要的意义。该文在提取研究区冬小麦种植空间分布的基础上,对10a时间序列冬小麦MODIS-NDVI进行特征参数提取,并将冬小麦主要生长季多年NDVI特征值均值和年际变异系数,作为多年平均产量水平和稳产水平的指示指标,进行黄淮海农区冬小麦种植区耕地生产力评价,得到黄淮海农区冬小麦生产力空间分布图。结果显示:1)多时相MODIS-NDVI数据可以用于研究区冬小麦种植空间分布提取。经县级尺度验证,有较高的提取精度;2)县级尺度的冬小麦单产水平与其辖区内冬小麦生长关键期多个NDVI特征值有显著的相关关系,可以用来评价冬小麦生产力水平;3)研究区冬小麦种植区耕地以中低生产力水平为主,高生产力水平的耕地只占不到20%。高生产力的麦田大多分布在水热条件较好的黄淮平原亚区,中等生产力麦田大多分布在燕山太行山山麓平原亚区和鲁西黄灌区,而低生产力的麦田多分布在冀、鲁、豫低洼平原亚区。低生产力麦田分布集中连片的区域多为春旱易发、土壤粘淤或低洼积盐的地区。呈现出整体气候条件主导,局部土壤条件影响的高中低生产力空间分布特征。研究结果可以为黄淮海农区的耕地质量管理和中低产田改良提供依据。%Productivity is one basic property of farm land and the spatial pattern can be used as the baseline information in making and implementing appropriate agricultural policies. As an important winter wheat production area of China, food production in the Huang-Huai-Hai region has been receiving considerable attention for a long time. The Normalized Difference Vegetation Index (NDVI) derived from remote sensing techniques is a widely utilized vegetation index in

  3. Application and Analysis of MODIS Satellite NDVI Time Series Change in Winter Wheat Area Estimate%MODIS卫星NDVI时间序列变化在冬小麦面积估算中的应用分析

    Institute of Scientific and Technical Information of China (English)

    李红梅; 张树誉; 王钊

    2011-01-01

    The study area of this paper is Guanzhong in Shanxi province,which is a major wheat-growing region.Based on EOS/MODIS satellite data,the survey data of winter wheat and the classification of land cover based on Landsat/TM image,we can get a vegetation index time series curve of different land cover.According to the NDVI variety of winter wheat during its growth and development period,we eliminate the non-wheat area information.Different thresholds will be set though compared the wheat's NDVI which in different critical growth period.The distribution and area of winter wheat will be analyzed and estimated with the help of spatial analysis module of GIS.The result shows that the accuracy rate of area by using this method is high.This approach may be an important tool for estimating area of regional crop over large area,and application potential of MODIS data in agriculture is proved better.%以陕西小麦主产区关中地区为研究地点,EOS/MODIS卫星数据为主要数据源,借助冬小麦地面定位调查数据和土地覆盖类型图作为辅助信息,计算得到不同覆盖类型的植被指数时序曲线图,找出冬小麦发育期植被指数变化规律,剔除小麦生长季节的非麦区信息,用几个关键期的植被指数变化差值图设定不同阈值,利用GIS空间分析功能得到麦区分布图和麦区面积。结果表明,应用遥感估算麦区面积与实际调查统计结果较为一致。从实际应用来看,该方法为大区域作物面积估算提供了一种更为快捷、经济的途径,也进一步说明MODIS数据在农业领域中的应用潜力。

  4. Aplicação de índices das condições de vegetação no monitoramento em tempo quase real da seca em Moçambique usando NOAA_AVHRR- NDVI

    Directory of Open Access Journals (Sweden)

    Paulo Alberto Covele

    2011-12-01

    Full Text Available Normal 0 21 false false false PT-BR X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabela normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Este artigo tem por objetivo aplicar diferentes índices das condições de vegetação e avaliar suas diferenças e aptidão no monitoramento da distribuição espacial e temporal da seca em Moçambique com base em imagens NDVI da NOAA- AVHRR. Para tanto, avalia as differenças de aptidão dos índices das condições de vegetação especialmente o Índice das Condições de Vegetação (Vegetation Condition Index- VCI, Índice Padronizado de Vegetação (Standardized Vegetation Index- SVI e o Indicador de Productividade da Vegetação (Vegetation Productivity Indicator- VPI no monitoramento da seca em Moçambique. Estes índices são derivados a partir de imagens da Diferença Normalizada do Índice da Vegetação (Normalized Difference Vegetation Index- NDVI de 1981 a 2005, produzidas a partir dos canais 1 e 2 do sensor Advanced Very Higher Resolution Radiometer (AVHRR a bordo dos satélites da National Oceanic and Atmospheric Administration (NOAA.

  5. 地理信息系统支持下Spot/vegetation NDVI影像的大尺度神经网络分类%SPOT/VEGETATION NDVI IMAGE'S LARGE SCALE NEURAL NETWORKS CLASSIFICATION SUPPORTED BY GIS

    Institute of Scientific and Technical Information of China (English)

    巴雅尔; 敖登高娃; 沈彦俊; 朱林; Ryutaro Tateishi; 王一谋

    2005-01-01

    以内蒙古地区Spot/vegetation归一化植被指数(NDVI)影像为基本信息源,综合应用地理信息系统(GIS)技术进行了大尺度神经网络分类实验研究.建立多年份高分辨影像数据库,通过GIS软件集成与遥感影像目视解译方法,在全区范围选取了"纯净"样本数据,并辅助应用DTM数据和影像化多年气像观测数据,完成土地覆盖类型的BP人工神经网络分类.结果表明,GIS技术支持下,大面积区域尺度上spot/vegetation NDVI影像的BP神经网络分类可达到较高的分类精度.

  6. Character analysis of mining disturbance and reclamation trajectory in surface coal-mine area by time-series NDVI%基于时序NDVI的露天煤矿区土地损毁与复垦过程特征分析

    Institute of Scientific and Technical Information of China (English)

    李晶; Zipper Carl E.; 李松; Donovan Patricia F.; Wynne Randolph H.; Oliphant Adam J.; 夏清

    2015-01-01

    露天煤矿区是人类活动强扰动地区之一。该文以阿巴拉契亚煤田区韦恩县为研究区域,应用遥感时序分析法分析了像元尺度的土地损毁和复垦过程特征。得出结论:1984-2010年间,韦兹县露天开采扰动区域占采矿权范围的45.80%,其中植被恢复区域占开采范围的66.45%,开采时间越早,植被恢复像元比例越高;开采造成的地表无植被覆盖期时长中位数为6 a,均值为7 a;已充分复垦的区域,NDVI值恢复至采前水平的加权平均时长为12 a。基于像元变化轨迹的研究,除揭示土地损毁-复垦过程特征外,能较好地反映空间异质性,可以为土地复垦管理和相关政策决策提供科学依据。%Open-pit coal mines are among the most drastic anthropogenic land disturbances. Using Wise County in the USA’s Appalachian coal field as the study area, this paper evaluates the mine land disturbance and reclamation process over a 27-year period by conducting time-series analysis of multispectral remote-sensing data at the pixel scale. Twenty TM/ETM images obtained by the Landsat satellites, with 30 m spatial resolution, are treated as a multiple-year chronosequence. Polygonal vector files defining mining permitted areas and 6 high-resolution aerial images are used as auxiliary data;and the normalized difference vegetation index (NDVI) is used as a vegetative cover indicator. The methodology and study process include 3 steps. First, training data are prepared and multispectral image data are preprocessed. Data preprocessing includes band stacking, extracting the study area as image subsets, masking of cloud, cloud shadow and water, and computing NDVI based on each study-area pixel in each image. After the training data are generated, they are used to identify the NDVI thresholds for separating bare-ground from vegetated pixels, and ever-mined pixels from those un-mined. These separations are performed by visually

  7. Spatial-Temporal Dynamics of NDVI and Its Response to Temperature and Precipitation in the Yellow River Delta during the Period 1998-2008%近十年黄河三角洲NDVI时空动态及其对气温和降水的响应特征

    Institute of Scientific and Technical Information of China (English)

    李明杰; 侯西勇; 应兰兰; 路晓; 朱明明

    2011-01-01

    本文基于SPOT-VGT S10产品(1998年4月-2008年12月)以及相应时段东营站点的气温、降水数据,利用一元线性回归方法、Hurst指数方法分析近10年黄河三角洲NDVI时空动态,并探讨NDVI与气温、降水因子的年际、季节、月际响应特征.研究表明:①NDVI变化以良性发展为主,但NDVI长期无变化区及弱持续性中度改善区值得关注,且NDVI弱、中、强持续性退化区面积较广,理应尤为关注,并探讨和寻找原因;②NDVI变化与气温、降水均有较高的相关性,相关系数分别为0.81、0.63,若考虑1个月的时间延迟,则相关系数分别为0.89、0.75;③延迟1个月的NDVI与气温、降水的相关性研究更具科学性和准确性.春季(2月-4月)、夏季(5月-7月)气温对植物生长起决定作用,秋季(8月-10月)气温无明显变化趋势,NDVI值变化受降水强度影响较大;不同月份气温、降水对NDVI的影响主导作用不同,延迟程度不同.%Satellite remote sensing represents a significant breakthrough in the scientific community, providing critical surface and atmospheric information at a variety of spatial and temporal scales. It has been widely used in the Earth sciences and can also be an effective way to monitor the vegetation dynamics and global changes. Vegetation cover and growth are influenced by climatic changes. Normalized Differential Vegetation Index (NDVI) can essentially reveal the status of vegetation and ecology; however, the relationship between NDVI and the major climatic factors remains still unclear, such as temperature and precipitation. There seems to be few published studies concerned with the use of time series NDVI data investigate the mechanisms of changes in vegetation in response to climatic factors. In this paper, we made use of time series NDVI data to examine the response of vegetation to major climatic factors based on geographic information system (GIS) and statistical methods. We described the

  8. Correlation Analysis between NDVI and Climatic Factors of Grassland Ecosystems in the Northern Tibetan Plateau from 1982 to 2003%1982年至2003年藏北高原草地生态系统NDVI与气候因子的相关分析

    Institute of Scientific and Technical Information of China (English)

    赵玉萍; 张宪洲; 王景升; 沈振西

    2009-01-01

    Normalized difference vegetation index (NDVI), which is closely related to plant absorbability of photosynthetically active radiation (PAR), is generally taken to be a good indicator of terrestrial vegetation. We used time series (1982-2003) NDVI from the Global Inventory Modeling and Mapping Studies (GIMMS) in combination with climatic data from eight meteorological stations to examine the relationships between climatic factors and NDVI for grasslands of different types across the Northern Tibetan Plateau. Also, we discussed contributors affecting the correlation between NDVI and climatic factors. A bivariate correlation analysis was performed to examine the linear correlations and lag-linear correlations between monthly maximized NDVI and 6 monthly climatic factors, including mean monthly air temperature, mean minimum air temperature, mean maximum air temperature, relative humidity, mean wind velocity and cumulative precipitation. The partial correlations between temperature/precipitation, temperature/precipitation/wind velocity and NDVI were investigated by a partial correlation analysis in order to remove errors resulting from interactions among these climatic factors. Except the Gerze and Gaer stations, there were significant positive linear correlations between NDVI and temperature, precipitation and air moisture of the current month (P索县>安多>当雄>班戈>申扎;月均风速与藏北高原草地NDVI呈高度负相关(P<0.001;当雄除外,为D<0.05);②NDVI对气温和降水的响应有滞后效应:改则和噶尔NDVI对气温滞后3个月,其它6个站滞后1个月;噶尔NDVI对降水的滞后期为2个月,其它7个站均滞后1个月;申扎和改则(噶尔)NDVI对空气湿度分别滞后1和2个月,其它5个站无滞后;那曲、安多、班戈和申扎NDVI对降水的累积滞后期为1个月,当雄和索县为2个月,改则和噶尔为4个月,NDVI对降水响应的累积滞后相关系数从东到西呈降低趋势;③除改则和噶尔之外的6

  9. 基于植被指数阈值法的城市边界动态监测技术研究%Research on the Urban Boundary Dynamic Monitor Technology Based on NDVI

    Institute of Scientific and Technical Information of China (English)

    陈剑锋; 谌进波

    2011-01-01

    As accelerating economic growth,rapid urban sprawl and dramatic change of land use structure became an important issue.In order to control the urban rational scale,it is necessary to monitor the urban sprawl in time.With the development of remote sensing(RS) and geographic information system(GIS),RS and GIS techniques are applied more and more in urban land use change detection.Study area lies in Wuhan City,Hubei Province.On the basis of collecting and summarizing literatures,it is carried out monitoring of land use change by RS and GIS.The RS data we used is Landsat ETM+ acquired at 2002.7.The study focused on the methods of urban sprawl dynamic detection.And it is important to determine the threshold by the histogram of NDVI.It is needed to confirm the area that is not covered by vegetation using the threshold of NDVI,and then extract the urban area boundary.Comparing the areas of image,the boundary of city can be recognized.%社会经济的高速发展带动了城市的空间扩展,引起了城市土地利用结构的变化。为了对城市建设用地和城市发展规模进行合理的调控,应该对城市的扩展进行动态监测。在城区扩展动态监测方面,遥感和地理信息系统已经得到了一定的应用。本研究以湖北省武汉市为例,利用2002年7月9日陆地卫星ETM+数据,在遥感和地理信息系统技术支持下,开展武汉市城区扩展的卫星遥感动态监测技术研究。利用NDVI指数确定区分植被区与非植被区的阈值,得到相应的城区范围。该方法的关键在于根据不同土地利用类型的NDVI直方图确定植被区与非植被区的阈值。研究结果表明,在影像间相同地物光谱特征差异较小,且在植被长势好的情况下,利用NDVI植被指数阈值法可以较好地对城区扩展进行动态监测。

  10. Research of Aquatic Vegetation Classification based on NDVI Index in Luoma Lake%基于NDVI指数的骆马湖水生植被分级研究

    Institute of Scientific and Technical Information of China (English)

    曹毅; 王辉

    2014-01-01

    基于典型时段骆马湖 Landsat TM遥感影像,利用归一化植被指数(NDVI)法对骆马湖水生植被进行分级研究。采用标准差分级方法,将骆马湖水生植被分为5个等级。研究结果表明,利用这种分级方法处理的图像能够较准确地反映骆马湖水生植被区域分布和等级分区,能够更准确地给出采砂区和生态保护区域的位置,增强湖区水生态环境保护工作的有效性和针对性。%Based on a typical period of Luoma Lake Landsat images,and using normalized difference vege-tation index (NDVI),the aquatic vegetation classification research on Luoma Lake was carried out.Using the standard deviation and classification method,the Luoma Lake aquatic vegetation was divided into 5 grades.The results showed that,the images processed by this classification method could more accurately reflect the level of regional distribution and aquatic vegetation in Luoma Lake,more accurately position mining district and ecologi-cal protection areas,and improve ecological and environmental conservation work.

  11. Winter Wheat Area Estimation with MODIS-NDVI Time Series Based on Parcel%地块支持下MODIS-NDVI时间序列冬小麦种植面积测量研究

    Institute of Scientific and Technical Information of China (English)

    李乐; 张锦水; 朱文泉; 胡潭高; 侯东

    2011-01-01

    在大尺度冬小麦种植面积测量中,MODIS(moderate resolution imaging spectrometer)数据对绝大部分地区可实现全覆盖数据保障,具有很好的时间序列特征,在探测植物季相节律进行作物估产与动态监测上得到很好的应用,但因受到空间分辨率的限制,其测量结果的可靠性受到较大质疑.地块数据具有明确的位置特征和明显的边界信息,在一定程度上降低了光谱差异和混合像元的复杂程度,在遥感影像上具有很强的相似光谱特征,较像元识别更有优势.以北京市通州为试验区,充分结合冬小麦生长季特征,首次尝试MODIS-NDVI空间地块化,建立其与中分辨率TM耕地地块识别结果的定量关系,进行地块支持下的MODIS-NDVI时间序列冬小麦种植面积测量.研究结果表明,当样本量达到15%以上时,MODIS和TM提取结果区域精度一致性稳定达到96%以上.该方法证明,地块数据可有效改善MODIS-NDVI时序数据遥感识别中,因空间分辨率低引起的误差.实现有碎云影响和无全覆盖中分辨影像时,利用部分中分辨影像样本结合低分辨率全覆盖影像实现大尺度的冬小麦种植面积测量,同时,为其他品种农作物种植面积测量进行先期的实验研究.%Several attributes of MODIS (moderate resolution imaging spectrometer) data, especially the short temporal intervals and the global coverage, provide an extremely efficient way to map cropland and monitor its seasonal change. However, the reliability of their measurement results is challenged because of the limited spatial resolution. The parcel data has clear geo-location and obvious boundary information of cropland. Also, the spectral differences and the complexity of mixed pixels are weak in parcels. All of these make that area estimation based on parcels presents more advantage than on pixels. In the present study, winter wheat area estimation based on MODIS-NDVI time series has been performed with

  12. 基于GIMMSAVHRRNDVI数据的三北防护林工程区植被覆盖动态变化%Dynamic Changes in Vegetation Coverage in the Three-North Shelter Forest Program Based on GIMMS AVHRR NDVI

    Institute of Scientific and Technical Information of China (English)

    王强; 张勃; 戴声佩; 邹悦; 马中华; 张亚宁

    2011-01-01

    本文基于1982年-2006年连续25a的GIMMS AVHRR NDVI植被覆盖指数,采用了最大化NDVI均值法、提取植被覆盖度法和一元线性回归趋势分析方法,对中国三北防护林工程区的四大建设区(风沙区,西北荒漠区,黄土高原丘陵沟壑区和东北、华北平原区)连续25a的植被覆盖时空变化特征进行了动态变化研究。结果表明:①近25a来,研究区植被NDVI平均值总体呈缓慢上升趋势,增速为0.007/10a,其中风沙区和东北、华北平原区植被增速最明显,而西北荒漠区植被呈微弱下降趋势;②四大建设区植被覆盖度有不同程度提%The Shelter Forest System Program in the Three-North Regions of China (the Three-North Shelter Forest Program, TNSFP) is the largest ecological reforestation program in the world, and has made great achievements since it was initiated in 1978. It covers 13 provinces and 551 counties of China, with longitude ranging between 73°26’ E and 127°50’ E and latitude ranging between 33°30’ N and 50°12’ N, covering an area of 4.069×106 km2 which accounts for 42.4% of China’s territory. It was projected to span from November 1978 through December 2050, lasting 73 years, and can divided into three phases and eight stages of construction. The total planning afforestation has been amount to be 0.351×106 km2. Research on vegetation for TNSFP would be of great value to the environment and social and economic development across these regions. In this paper, GIMMS AVHRR Normalized Difference Vegetation Index (NDVI) datasets, a globe dataset with 8-km spatial resolution (square pixels) which was developed by the Global Inventory Monitoring and Modeling Studies (GIMMS) group, was selected as the data source. The spatio-temporal variation in vegetation coverage of the Three-North Regions of China was systematically studied using the NDVI average method, retrieval of vegetation cover, and linear regression trend analysis

  13. 基于NDVI的秦岭山地植被遥感物候及其与气温的响应关系——以陕西境内为例%The Vegetation Remote Sensing Phenology of Qinling Mountains Based on NDVI and It's Response to Temperature:Taking Within the Territory of Shaanxi as An Example

    Institute of Scientific and Technical Information of China (English)

    马新萍; 白红英; 贺映娜; 秦进

    2015-01-01

    The vegetation phenology change was effected evidently by global temperature rising. The phenolog-ical parameters extracted from NDVI data can accurately showed a continuous phenology changes in macro scope. The vegetation phenology parameters was extracted by the method of dynamic threshold based on the MODIS NDVI time series of images data in 2000-2010 at the Qinling Mountains. The measured phenological data was used to verified the accuracy of remote sensing phenology results. The relationship between tempera-ture changes and the phenology of Qinling region was quantitied at the macro scale. The resulte showed that the trend of vegetation phenology variation based on the NDVI are consistent with the results of measured phe-nological data. In 2000-2010, the advanced rate of phenology beginning period was 0.165 6 d/a, the delayed rate of phenology finaling period was 0.109 1 d/a. On space, the vegetation phenology beginning period in the northern region of the Qinling Mountains mainly occurred in the first 120 days to 130 days, it was later than the period of southern slope. The phenological ending period mainly occurred in 300-325 days , the arrival of phenology finaling period in the northern region was later than the southern region. The correlation of NDVI in phenological beginning period and the effective temperature, the spring and growing season temperature is sig-nificantly positive, NDVI in phenological ending period has a significantly positive correlation with the temper-ature in summer and autumn. The temperature lag 2-3 phase behind NDVI at the phenology beginning period.%基于MODIS NDVI时间序列数据,利用动态阈值法提取秦岭山地2000~2010年的物候参数,并结合实测物候资料进行验证,在宏观尺度上量化了气温升高对植物物候的影响程度.研究得出:基于NDVI的物候变化趋势与实测物候资料结果一致;2000~2010年间物候始期提前的速率为0.165 6 d/a,末期推后速率为0.109 1 d/a;空

  14. Aspectos especiais e temporais do problema do enovelamento protéico;

    OpenAIRE

    Hugo de Figueirêdo, Pedro

    2006-01-01

    A maneira na qual uma proteína se enovela a partir de uma espiral aleatória para um estado nativo único, em um intervalo de tempo relativamente curto, é um dos problemas fundamentais da biofísica molecular. É bem aceito que esta estrutura tridimensional única, característica de cada proteína e de sua seqüencia de aminoácidos, determina as funções da proteína. Nesta Tese, duas abordagens distintas serão empregadas para estudar aspectos gerais deste problema: 1) uma modelagem estocástica da cad...

  15. 基于MODIS NDVI多年时序数据的农作物种植识别%Crop information identification based on MODIS NDVI time-series data

    Institute of Scientific and Technical Information of China (English)

    许青云; 杨贵军; 龙慧灵; 王崇; 李鑫川; 黄登成

    2014-01-01

    Arable land is the foundation of the national economy. How to make the best of arable land resources has become a focus problem of modern science and technology information. The rapid development of agricultural condition remote sensing monitoring technology provides more scientific ways and information technology for monitoring the arable land in real-time. In order to obtain the information of Shaanxi Province agricultural condition monitoring for managing arable land more efficiently, this thesis aimed to study the crop planting patterns and types of arable land, and took the main crops (wheat, spring maize, summer maize, rice and rape) of arable land in Shaanxi Province as the research object. Firstly, the remote sensing datasets of 250 m MOD09Q1 time series during 2003-2012 were used, and the Savitzky-Golay filtering method of TIMESAT software was used to reconstruct the NDVI time series datasets. Secondly, combined with the agricultural meteorological station datasets, TM 30 m land cover classification data, and the main crops’ information and crop phenological information in Shaanxi Province, we extracted the change trends of typical terrain feature and determined the interannual dynamic thresholds. According to the threshold of a peak and crop growth period and other information, the crop planting patterns and crop types were identified. Thirdly, owing to the mixed pixel that the major factor affected the classification accuracy of the low spatial resolution remote sensing, therefore, the IDL optimization function (CONSTRAINED_MIN) was used to obtain each crop types’ abundance figure by the method of non-negative least squares. Two kinds of precision validation methods of spatial and quantitative were adopted in this paper. The total classification accuracy and Kappa coefficient were 88.18% and 59.64% respectively according to spatial comparative analysis. The classification results were revised by the crop types’ abundance figure, and the overall

  16. 中国华东及其周边地区NDVI对气温和降水的月际响应特征%Inter-monthly Response Characteristics of NDVI to the Variation of Temperature and Precipitation in East China and Its Surrounding Areas

    Institute of Scientific and Technical Information of China (English)

    崔林丽; 史军

    2011-01-01

    利用SPOT VGT-NDVI数据和气象站点的气温和降水资料,分析了1998—2010年期间我国华东及其周边地区NDVI对气温和降水变化的时空响应特征。结果表明,在整个研究区,NDVI对当月气温和前1月降水变化响应最为强烈。空间上,NDVI对气温变化的响应在整个研究区差异不明显,而对降水变化的响应在北部地区较在中部和南部强。NDVI在多数地区都同步响应于当月气温变化,在北部和南部一些地区对气温变化滞后响应1个月左右。NDVI对降水变化在北部地区滞后响应1个月左右,而在南部地区滞后响应2~3个月。研究区NDVI对气温和降水响应的时间特征、空间分布及总体滞后期与已有的研究结果基本一致,但在南部地区NDVI对降水变化的响应滞后期较已有的研究结果长。不同的数据源、研究范围、气候和植被类型及土壤特性的差异等都有可能造成研究结果的差异。%The interaction between vegetation and atmosphere is important in global climate change and natural resource management and has become a research focus of geosciences in recent years.Spatial and temporal response characteristics of NDVI to the variations of temperature and precipitation in East China and its surrounding areas were analyzed based on the SPOT VGT-DN data from Flemish Institute for Technological Research(VITO),Belgium,and monthly temperature and precipitation data from 135 meteorological stations during 1998-2010.The results indicate that in the whole study area,NDVI has the maximum response to the temperature of the same month,and has the maximum response to the precipitation of previous one month.Spatially,the response of NDVI to temperature has no significant difference among the whole study area,and the response of NDVI to precipitation in the northern part is stronger than that in the middle and southern part of the study area.In the middle part of the study area,NDVI synchronously

  17. Assinatura da deposição atmosférica de testes nucleares em sedimentos da costa brasileira (240+239Pu e 137Cs

    Directory of Open Access Journals (Sweden)

    Christian J. Sanders

    2012-01-01

    Full Text Available The aim of this review is to take a look at Cold War era nuclear tests signatures found in Brazilian coastal sediments. Both137Cs and 240+239Pu signatures have been documented in mangrove, coastal mudflats and continental shelf sediments, associated with above ground nuclear tests beginning in the 1950's. The dates associated to the anthropogenic radionuclide signatures 137Cs and 240+239Pu along sediment columns are confirmed by 210Pb geochronology in many of the studies highlighted in this review. The results outlined in this review characterize the extent to which nuclear fallout products reach the Brazilian coast in quantities sufficient for detection, allowing the use of these radioisotopes as geochronometers.

  18. Pesquisa de assinaturas de selecção de malária na região do gene humano TPI (triosefosfato isomerase)

    OpenAIRE

    Guerra, Mónica

    2012-01-01

    A malária continua a ser a maior causa de doença e mortalidade no Mundo, sobretudo no continente Africano. Das cinco espécies do parasita causador de malária em humanos, Plasmodium falciparum é a mais letal. Em termos evolutivos a malária é um fenómeno recente com cerca de 10 000 anos, período onde tem atuado como importante pressão seletiva no genoma humano, contribuindo para a seleção de inúmeros polimorfismos que propiciam maior resistência ao protozoário parasita. Apesar da interação ...

  19. Assinatura geofísica das rochas alcalinas da porção norte da província alcalina de Góias.

    OpenAIRE

    Feitoza, Lorena Malta

    2011-01-01

    As rochas alcalinas da região de Iporá (Goiás) fazem parte da Província Alcalina de Goiás (PAGO) e vêm sendo estudadas desde o fim da década de 1960. Essa região foi afetada por importantes eventos de magmatismo alcalino durante o Cretáceo Superior, em particular, em regiões submetidas a arqueamentos crustais, condicionadas por falhamentos regionais com direção preferencial NW–SE. Esse ambiente inclui desde complexos máfico–ultramáficos alcalinos, rochas alcalinas subvulcânicas e vulcânicas. ...

  20. 利用 GIS地理统计模块预测海南岛植被指数季节性变化趋势%Prediction of the Seasonal Change Trend of NDVI in Hainan Island by GIS Geostatistical Analysis

    Institute of Scientific and Technical Information of China (English)

    刘少军; 黄彦彬; 张京红; 李天富; 陈汇林; 陈德明

    2006-01-01

    虽然采用遥感图像提取的植被指数在空间上能较好的反映作物的状况,但其不能预测植被指数在空间上的变化范围,如果能从整体上了解不同市县在不同季节的平均植被指数值,就可以对该区域整体植被状态进行量化分析,也就可以从大范围内进行植被指数的预测分析.利用地理信息系统(GIS)和地统计学相结合的地理统计分析模块(ArcGIS Geostatistical Analyst),根据MODIS遥感数据提取的每季度不同市县平均NDVI植被指数,采用Kriging插值的方法分析了海南岛归一化植被指数(NDVI)季节性变化趋势,并与实际采样值进行对比分析,结果表明,利用ArcGIS Geostatistical Analyst中的Kriging插值方法能较好地预测植被指数的空间分布范围.

  1. Expressão de certeza e dúvida na gagueira: estudo dos aspectos temporais da fala

    Directory of Open Access Journals (Sweden)

    Leticia Correa Celeste

    2013-12-01

    Full Text Available OBJETIVO: examinar o papel da organização temporal do discurso na expressão das atitudes de certeza e dúvida em grupo de adultos com gagueira, comparando-a em um grupo de adultos fluentes. MÉTODO: participaram desta pesquisa 24 indivíduos, sendo 12 com gagueira (GE1 e GE2 e 12 sem gagueira (GC. Foram coletadas amostras que teve como base um corpus de 10 frases chave que foram produzidas nas formas neutra, de dúvida e de certeza, totalizando 840 enunciados. A análise acústica foi realizada por meio do programa Praat e os seguintes parâmetros foram analisados: tempos e taxas de elocução e articulação, ocorrência e duração de pausas e disfluências, duração das vogais tônica e pré-tônica e ocorrência da vogal pós-tônica. A análise estatística foi realizada por meio dos testes Kruskall Wallis e qui-quadrado, com índice de significância de 95%. RESULTADOS: a expressão da dúvida apresenta taxa de articulação mais baixa no grupo controle, seguida da forma neutra e de certeza, com diferenças estatisticamente significantes. Ainda no grupo controle, foi observado presença de pausas e disfluências somente na expressão de dúvida. No grupo experimental, a maior diferença encontrada foi na duração da vogal da sílaba tônica. CONCLUSÃO: de uma forma geral, o GC variou mais sua organização temporal a fim de expressar as atitudes. No entanto, é possível observar também uma tendência semelhante no grupo de pessoas com gagueira. Quanto à velocidade de fala, ao retirar as pausas e as disfluências, vemos que tanto GE1 quanto GE2 diferenciam a certeza, articulando cada sílaba de forma mais rápida.

  2. ANÁLISES DE MÉTRICAS DE SIMILARIDADES EM SÉRIES TEMPORAIS PARA RECONHECIMENTO DE PADRÕES

    Directory of Open Access Journals (Sweden)

    João Francisco Monteiro Barragan

    2014-08-01

    Full Text Available 10.12957/cadest.2012.15775Este artigo apresenta uma metodologia para reconhecimento de padrões de operação de uma turbina a gás da unidade termelétrica (UTE Rômulo Almeida, integrante do parque da Petrobrás. A distinção de diferentes padrões de operação, mais especificamente, partidas sem falha e com falha devido a desarme (trip por dispersão de temperatura foi possível devido a um vasto banco de dados obtidos a partir de um Sistema de Gerenciamento de Informações de Plantas Industriais, ou Process Information Management System (PIMS, disponível na UTE. Os padrões identificados foram analisados utilizando métricas de similaridade univariáveis (distância euclidiana entre os coeficientes de autocorrelação, visando prever distinções entre as partidas sem e com trip por dispersão de temperatura. A possibilidade de gerar uma ferramenta que possa apontar para uma possível falha no equipamento com antecedência é um resultado potencial para a implementação de um sistema de controle inteligente.

  3. Research on spatiotemporal pattern of crop phenological characteristics and cropping system in North China based on NDVI time series data%基于时序植被指数的华北地区作物物候期/种植制度的时空格局特征

    Institute of Scientific and Technical Information of China (English)

    李正国; 杨鹏; 周清波; 王仰麟; 吴文斌; 张莉; 张小飞

    2009-01-01

    As the increasingly impacts of climate changes, more researches are starting to focus on the responses of agroecosystem, including changes in crop phenology and crop yield, which have important implications for predicting the potential impacts on grain security in the future. In this study, we investigate spatiotemporal patterns of crop phenological characteristics and classification in North China Plain, by using the SPOT/VGT NDVI ten day composed time-series data collected from April 1998 to March 2008. Firstly, to minimize the effects of anomalous values caused by atmospheric haze and cloud contamination, the software TIMESAT was used to generate smooth time series of NDVI based on an asymmetric Gaussian function; secondly, The characteristics of crop phenology in North China, such as the timing of onset and end of the growing season, length of the growing season, and date of the maximum NDVI, were then defined based on the smoothed NVDI time-series dataset; Thirdly, from the variability of frequency distribution, we try to build classification rules to identify the main grain crops, including summer harvesting crop, autumn harvesting crop with single cropping and autumn harvesting crop with double cropping. Finally, the temporal trends of changes and spatial patterns of the main crops were analyzed and the relationship between the remotely sensed results and agricultural statistical data was evaluated by using Pearson correlation analyses. From the analysis it can be inferred that the crop phenology in North China is mainly characterized by a distinct spatial difference and the compositions of the main grain crops become complex as moving from the North to the South. Correspondingly, spatial patterns of crop phenology and compositions are highly related to its climate conditions and geo-physical environment. In details, the autumn harvesting crop in single-cropping system was the dominant class in this area with the maximum inter-annual variation. The

  4. Decadal Variations in NDVI and Food Production in India

    Data.gov (United States)

    National Aeronautics and Space Administration — In this study we use long-term satellite, climate, and crop observations to document the spatial distribution of the recent stagnation in food grain production...

  5. Initial Validation of NDVI time seriesfrom AVHRR, VEGETATION, and MODIS

    Science.gov (United States)

    Morisette, Jeffrey T.; Pinzon, Jorge E.; Brown, Molly E.; Tucker, Jim; Justice, Christopher O.

    2004-01-01

    The paper will address Theme 7: Multi-sensor opportunities for VEGETATION. We present analysis of a long-term vegetation record derived from three moderate resolution sensors: AVHRR, VEGETATION, and MODIS. While empirically based manipulation can ensure agreement between the three data sets, there is a need to validate the series. This paper uses atmospherically corrected ETM+ data available over the EOS Land Validation Core Sites as an independent data set with which to compare the time series. We use ETM+ data from 15 globally distributed sites, 7 of which contain repeat coverage in time. These high-resolution data are compared to the values of each sensor by spatially aggregating the ETM+ to each specific sensors' spatial coverage. The aggregated ETM+ value provides a point estimate for a specific site on a specific date. The standard deviation of that point estimate is used to construct a confidence interval for that point estimate. The values from each moderate resolution sensor are then evaluated with respect to that confident interval. Result show that AVHRR, VEGETATION, and MODIS data can be combined to assess temporal uncertainties and address data continuity issues and that the atmospherically corrected ETM+ data provide an independent source with which to compare that record. The final product is a consistent time series climate record that links historical observations to current and future measurements.

  6. Beyond NDVI: Extraction of biophysical variables from remote sensing imagery

    NARCIS (Netherlands)

    Clevers, J.G.P.W.

    2014-01-01

    This chapter provides an overview of methods used for the extraction of biophysical vegetation variables from remote sensing imagery. It starts with the description of the main spectral regions in the optical window of the electromagnetic spectrum based on typical spectral signatures of land surface

  7. NDVI and Panchromatic Image Correlation Using Texture Analysis

    Science.gov (United States)

    2010-03-01

    18 Equation 4. Equations of the eight GLCM texture features (After Shi, 2003)....................21 Equation 5...analysis and image classification like the Grey Level Co-occurrence Matrix ( GLCM ) by Haralick, 1973. First-order and second-order texture measures on... GLCM consist of Standard Deviation, Range, Minimum, Maximum and Mean. The second order of texture measures includes Angular Second Moment, Contrast

  8. Chemical signature study of tupiguarani ceramic tradition from Central region of the Rio Grande do Sul state, Brazil; Estudo de assinaturas quimicas em ceramica da tradicao tupiguarani da regiao central do estado do Rio Grande do Sul, Brasil

    Energy Technology Data Exchange (ETDEWEB)

    Bona, Irene Akemy Tomiyoshi

    2006-07-01

    In this work a model based on experimental results using chemical composition data of the pottery sherds applied to Spearmann's no parametric test, principal component analysis and discriminant analysis, was applied. The samples are soils and Tupiguarani Tradition pottery sherd from the central area of the Rio Grande do Sul State. The chemical elements , Al, Ba, Ca, Cr, Fe, K Mn, Pb, Rb, S, Si, Sr, Ti, V and Zn were determined by energy dispersive X-ray fluorescence (EDXFR) while Ce, Cu, Gd, La, Nd, Pr, Sm, Th and Y by high-resolution inductively coupled plasma mass spectrometry (HR-ICP-MS) techniques. Relationships among the pottery characteristics, studied sites and sherd dispersion in the several sites were proposed. Indications of chemical signature of the small pottery with function to go or not to the fire were observed. The largest dispersion is of small pottery with surface treatment no corrugated. The potteries chemical fingerprints from Ijui River, Ibicui-Vacacai Mirim River and Jacui River were verified. (author)

  9. Geochemical signature of columbite-tantalite and radiometric survey of radioactive pegmatites in the region of Parelhas, Rio Grande do Norte, Brazil; Assinatura geoquimica de columbita-tantalita e levantamento radiometrico de pegmatitos radioativos da regiao de Parelhas, RN, Brasil

    Energy Technology Data Exchange (ETDEWEB)

    Moura, Jorge Costa de

    2013-07-01

    This thesis is the result of geochemical, structural and radiometric investigations on radioactive pegmatites of the Borborema Pegmatitic Province in Northeast Brazil. The studied area, located in the surroundings of the city of Parelhas in the region of the Serra da Borborema, is well known for its thousands of pegmatitic bodies exploited in primitive mines called 'garimpos'. The main goal was to find an efficient, cheap and routine inspection procedure to identify the origin of commercialized radioactive columbite-tantalite (coltan) ore. The Brazilian Nuclear Energy Agency (CNEN) controls uranium commerce and nuclear activity in Brazil. Without an effective method to characterize coltan ores from different localities it is impossible to control the trade. The here presented new method was developed by correlating structural features of these pegmatites with the geochemical behavior of their coltan samples. It was found that the variation of the ratio U/Th versus Nb{sub 2}O{sub 5}/Ta{sub 2}O{sub 5} provides geochemical signatures (analytical fingerprints) for the source location of such ore. A test of the new method with coltan samples of commercial batches from the Brazilian states Amapa and Rondonia also generated distinct geochemical signatures. A radiometric survey (CPS) was carried out in several mines and pegmatites to study the environmental impact of gamma radiation. It included in situ measurements of pegmatite walls, host rocks, soil, and accumulated water and revealed that gamma emitters are hardly solubilized and environmental gamma radiation therefore generally is not enhanced to a dangerous level. (author)

  10. Tendências temporais e espaciais da qualidade das águas superficiais da sub-bacia do Rio das Velhas, estado de Minas Gerais

    Directory of Open Access Journals (Sweden)

    Ana Laura Cerqueira Trindade

    Full Text Available RESUMO Este artigo apresenta uma análise da tendência temporal e espacial da qualidade das águas superficiais da sub-bacia do Rio das Velhas, inserida na bacia do Rio São Francisco, em Minas Gerais, Brasil. Foram analisados 16.625 dados coletados no período de 2002 a 2011 pelo programa de monitoramento de qualidade das águas superficiais efetuado pelo Instituto Mineiro de Gestão das Águas (Igam. Testes estatísticos, multivariados e não paramétricos foram utilizados para avaliar 11 variáveis físicas, químicas e microbiológicas de 29 estações de monitoramento. Os resultados das análises de tendência Mann-Kendall/Sazonal de Mann-Kendall sugeriram que a maioria dos cursos d'água da região apresentam valores estáveis das variáveis ao longo do período estudado, com maiores alterações associadas a coliformes termotolerantes, demanda bioquímica de oxigênio (DBO, nitrato e índice de qualidade das águas (IQA, principalmente nas proximidades dos grandes centros urbanos. A análise de Cluster definiu três grandes grupos de estações de monitoramento, agrupadas segundo a qualidade de suas águas, correspondentes aos níveis de alta poluição, poluição moderada e baixa poluição. No entanto, ao longo de toda a sub-bacia, foi observada a degradação da qualidade da água durante o período estudado, principalmente relacionada ao lançamento de esgotos domésticos. Uma importante constatação foi a alteração da qualidade da água no baixo Rio das Velhas, apontada pela tendência de redução do IQA em estações localizadas nessa região, o que merece atenção dos órgãos governamentais para ações de manejo.

  11. Convergência do PIB per capita agropecuário estadual: uma análise de séries temporais

    Directory of Open Access Journals (Sweden)

    Christiano Modesto Penna

    2012-12-01

    Full Text Available Esse artigo examina a existência de tendências comuns do PIB per capita agropecuário e a formação de clubes de convergência entre os estados do Brasil admitindo-se a possibilidade de heterogeneidade no processo de desenvolvimento tecnológico. A metodologia aqui empregada sugere a formação de dois grupos de convergência: o primeiro formado pelos estados do Acre, Espírito Santo, Goiás, Mato Grosso do Sul, Mato Grosso, Minas Gerais, Paraná, Rondônia, Roraima, Rio Grande do Sul, Santa Catarina, São Paulo e Tocantins; e o segundo formado por Alagoas, Amazonas, Amapá, Bahia, Ceará, Maranhão, Pará, Paraíba, Pernambuco, Piauí, Rio de Janeiro, Rio Grande do Norte e Sergipe.

  12. Convergência do PIB per capita agropecuário estadual: uma análise de séries temporais

    Directory of Open Access Journals (Sweden)

    Christiano Modesto Penna

    2012-12-01

    Full Text Available Esse artigo examina a existência de tendências comuns do PIB per capita agropecuário e a formação de clubes de convergência entre os estados do Brasil admitindo-se a possibilidade de heterogeneidade no processo de desenvolvimento tecnológico. A metodologia aqui empregada sugere a formação de dois grupos de convergência: o primeiro formado pelos estados do Acre, Espírito Santo, Goiás, Mato Grosso do Sul, Mato Grosso, Minas Gerais, Paraná, Rondônia, Roraima, Rio Grande do Sul, Santa Catarina, São Paulo e Tocantins; e o segundo formado por Alagoas, Amazonas, Amapá, Bahia, Ceará, Maranhão, Pará, Paraíba, Pernambuco, Piauí, Rio de Janeiro, Rio Grande do Norte e Sergipe.This article examines the existence of common trends of the participation of the agricultural sector in GDP per capita and the formation of convergence clubs among Brazilian states assuming the possibility of heterogeneity in their processes of development. The methodology employed here suggest the formation of two groups of convergence: the first formed by the states of Acre, Espírito Santo, Goiás, Mato Grosso do Sul, Mato Grosso, Minas Gerais, Paraná, Rondônia, Roraima, Rio Grande do Sul, Santa Catarina, São Paulo e Tocantins; and the second consisting of Alagoas, Amazonas, Amapá, Bahia, Ceará, Maranhão, Pará, Paraíba, Pernambuco, Piauí, Rio de Janeiro, Rio Grande do Norte e Sergipe.

  13. Research on TemporaI and Spatial Patterns and Dynamic Laws of Soil Water at Eco-tope between Oasis and Desert

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Based on long term and stationary research, the temporal and spatial patterns and dynamic laws of soil water content in Minqin desert area were studied. Some results are as follows:(1)The change of soil water content in different years is not obviously in shrub sand dune of Nitraria sibirica and Tamarix ramosissima, but it was great in shifting sand dune, the maximum is 2.538%; (2)The season dynamics can be divided into three stages: accumulating, consuming and stable; (3) The vertical change of soil wa...

  14. Modelação de dados espaço-temporais em segurança rodoviária

    OpenAIRE

    Ribeiro, Maria da Conceição Rodrigues, 1971-

    2013-01-01

    Tese de doutoramento, Estatística e Investigação Operacional (Probabilidades e Estatística), Universidade de Lisboa, Faculdade de Ciências, 2013 Os acidentes rodoviários são um grave problema de saúde pública mundial com consequências socio-económicas devastadoras. Apesar dos enormes esforços efetuados nos últimos anos, os valores de sinistralidade rodoviária ainda são inadmissíveis. As estatísticas registadas suscitaram o interesse de investigadores e de políticos, como peça fundamental p...

  15. A BUSCA CLARICIANA EM APREENDER OS INSTANTES FUGIDIOS: UMA LEITURA A RESPEITO DE ASPECTOS TEMPORAIS EM “ÁGUA VIVA”

    Directory of Open Access Journals (Sweden)

    Marilia Danielle Santos Cerqueira

    2014-09-01

    Full Text Available This article is adapted from the final work of the Master course in Literature and Culture of the Federal University of Bahia UF BA (2013. It is proposed to analyze certain temporal aspects in “Água viva” by Clarice Lispector, and present a possible reading of the work, about the search undertaken by experiencing the moments in the best way. In this study, the focus is directed to the cultural and artistic context of the twentieth century, in which, according Mendilow (1972, p. 11-17, there is an “obsession with time” as a result of the speed in social transformation and transience of relations. ROSENFELD (2006b points to a process of unmasking, in which the “outward appearances”: the chronological time, space and the notion of causality decompose in the narrative, in order to privilege representation of internal reality. Thus, it is understood that “Água viva” shows the desire for unattainable: paralyze the temporal flow and grasp the intense experience of each moment.

  16. Failure time series prediction in industrial maintenance using neural networks; Previsao de series temporais de falhas em manutencao industrial usando redes neurais

    Energy Technology Data Exchange (ETDEWEB)

    Torres Junior, Rubiao G.; Machado, Maria Augusta S. [Instituto Brasileiro de Mercado de Capitais (IBMEC), Rio de Janeiro, RJ (Brazil); Souza, Reinaldo C. [Pontificia Univ. Catolica do Rio de Janeiro, RJ (Brazil)

    2005-07-01

    The objective of this work is the application of two failure prediction models in industrial maintenance with the use of Artificial Neural Networks (ANN). A characteristic of the modern industrial environment is a strong competition which leads companies to search for costs minimization methods. Thus, dada gathering and maintenance dada treatment becomes extremely important in this scenario for it aims the equipment and plant systems real repair necessity. Therefore, the objective becomes the widening of the system's full activity in a continuous manner, in the required period, without problems in their integrating parts. A daily time series is modeled based on maintenance interventions pauses dada from a five years period derived form many productive systems in the finalization areas of PETROFLEX Ind. and Com. S.A. Thus, the purpose is to introduce models based on neural networks and verify its system's pauses prediction capacity, so as to intervene with adequate timing before the system fails, extend the operational period and consequently increase its availability. The results obtained in this work demonstrate the employment of Neural Networks in the prediction of pauses in PETROFLEX industrial area maintenance. The ANN's prediction capacity in a group of dada with strong non-linear component where other statistical techniques have shown little efficient has also been confirmed. Discover neural models to predict failure systems time series has enable a breakthrough in the research field, especially due to the market demand. It's no doubt a technique that will evolve in the industrial maintenance area financing important managing decision. Prediction techniques, such as the ones illustrated in this study, work side by side maintenance planning and if carefully implemented and followed up can in the medium run supply a substantial increase in the available operational hours. (author)

  17. 杭州湾湾口水体含沙量的时空分布%Spaciai-temporai distribution of suspended sediment concentration in Hangzhou Bay

    Institute of Scientific and Technical Information of China (English)

    吴明阳; 许家帅; 冯玉林

    2011-01-01

    利用卫星遥感资料,结合现场实测数据,研究杭州湾湾口水体含沙量的时空分布,综合分析得出:杭州湾水体含沙量具有冬大夏小、高浓度悬沙广泛分布的特性,岛屿效应引起的局部高含沙是杭州湾岛屿群的共性.%Based on the information from the satelite remote sensing image and the measured SSC data from the field stations, this paper studies the spacial-temporal distribution of the sediment concentration in the Hangzhou Bay. The SSC of the Hangzhou Bay is high in winter and low in summer and the high SSC distributes extensively in the bay. It is common in the Hangzhou Bay that the locally high sediment concentration is caused by the archipelago effect.

  18. Interações temporais na era da convergência: perspectivas das Gerações Y e Z nas redes sociais digitais

    Directory of Open Access Journals (Sweden)

    Álvaro Nunes Larangeira

    2016-07-01

    Full Text Available The advent of digital social networks influenced different aspects of the daily lives of consumers. These platforms can generate a prodigious wealth of temporal interactions by companies and customers. This study aims to analyze the temporal interactions developed by the Y and Z generations from six qualifying categories: Hobby, Promotional Race Cartoon, Online Promotional Games, Content Ownership, Corporate / Promotional Channel, Cape Updates and News Race Cartoon . We used the literature method for performing a theoretical survey of concepts involving the theme and then a descriptive research to analyze the Cartoon Network Brazil channel page on the social network Facebook, from the perspective of how users of generations Y and Z if They behave in the digital environment. The results show that the temporal interactions in the convergence era as a process of evolution of the means of communication, along with the change in the target public's behavior.

  19. Parâmetros biofísicos na detecção de mudanças na cobertura e uso do solo em bacias hidrográficas Biophysical parameters in the detection of changes in soil cover and use in watersheds

    Directory of Open Access Journals (Sweden)

    Helio L. Lopes

    2010-11-01

    Full Text Available O estudo de parâmetros biofísicos como o Índice de Vegetação da Diferença Normalizada (NDVI, albedo e temperatura da superfície (LST, aplicado a ecossistemas, tem sido relevante para o entendimento de mudanças relacionadas à degradação do meio ambiente. Algumas alterações que provocam desequilíbrio de interações ecológicas em ecossistemas, como o desmatamento, a mineração, a agricultura inadequada e o superpastejo, entre outros, estão interrelacionadas. Para avaliação de mudanças temporais relacionadas à degradação do ecossistema caatinga obtiveram-se as imagens da diferença de três parâmetros: NDVI, albedo e temperatura da superfície, para os anos de 1985 e 2001 (estação seca, utilizando-se imagens TM. Este estudo foi aplicado à bacia do rio Brígida onde há uma exploração intensa dos recursos naturais, em que os resultados mostram aumento na temperatura da superfície, diminuição do NDVI e pouca variação no albedo da superfície evidenciando, assim, que entre os anos de 1985 e 2001 houve avanço na degradação dos recursos naturais, nesta bacia.The study of biophysical parameters such as NDVI, albedo and surface temperature has been reported as important for the understanding of land degradation changes of ecosystems. Degradation in ecosystems is related to the inadequate use of the environmental resources including deforestation, mining, inadequate agriculture, overgrazing, among others, that cause imbalance of ecological interactions. For multitemporal evaluation of changes related to the degradation of the 'caatinga' ecosystem three parameters were used with TM images: NDVI, albedo and surface temperature, in two different dates, 1985 and 2001 (dry season. This study was applied in the Brígida river basin where there is a great intensification in the exploration of the natural resources. The results show an increase in the surface temperature, decrease of NDVI and little variation in the surface

  20. UAS-derived crop height and NDVI metrics for sorghum yield and aphid stress assessment

    Science.gov (United States)

    A small, fixed-wing UAS was used to survey a replicated small plot field experiment designed to estimate sorghum damage caused by an invasive aphid. Plant stress varied among 40 plots through manipulation of aphid densities. Equipped with a consumer-grade near-infrared camera, the UAS was flown on...

  1. Vegetation extraction from high-resolution satellite imagery using the Normalized Difference Vegetation Index (NDVI)

    Science.gov (United States)

    AlShamsi, Meera R.

    2016-10-01

    Over the past years, there has been various urban development all over the UAE. Dubai is one of the cities that experienced rapid growth in both development and population. That growth can have a negative effect on the surrounding environment. Hence, there has been a necessity to protect the environment from these fast pace changes. One of the major impacts this growth can have is on vegetation. As technology is evolving day by day, there is a possibility to monitor changes that are happening on different areas in the world using satellite imagery. The data from these imageries can be utilized to identify vegetation in different areas of an image through a process called vegetation detection. Being able to detect and monitor vegetation is very beneficial for municipal planning and management, and environment authorities. Through this, analysts can monitor vegetation growth in various areas and analyze these changes. By utilizing satellite imagery with the necessary data, different types of vegetation can be studied and analyzed, such as parks, farms, and artificial grass in sports fields. In this paper, vegetation features are detected and extracted through SAFIY system (i.e. the Smart Application for Feature extraction and 3D modeling using high resolution satellite ImagerY) by using high-resolution satellite imagery from DubaiSat-2 and DEIMOS-2 satellites, which provide panchromatic images of 1m resolution and spectral bands (red, green, blue and near infrared) of 4m resolution. SAFIY system is a joint collaboration between MBRSC and DEIMOS Space UK. It uses image-processing algorithms to extract different features (roads, water, vegetation, and buildings) to generate vector maps data. The process to extract green areas (vegetation) utilize spectral information (such as, the red and near infrared bands) from the satellite images. These detected vegetation features will be extracted as vector data in SAFIY system and can be updated and edited by end-users, such as governmental entities and municipalities.

  2. Comparison of three NDVI time-series fitting methods in crop phenology detection in Northeast China

    Science.gov (United States)

    Wang, Meng; Tao, Fulu

    2014-03-01

    Phenological changes of cropland are the pivotal basis for farm management, agricultural production, and climate change research. Over the past decades, a range of methods have been used to extract phenological events based on satellite derived continuous vegetation index time series, however, large uncertainties still exist. In this study, three smoothing methods were compared to reduce the potential uncertainty and to quantify crop green-up dates over Northeast China. The results indicated that the crop spring onset dates estimated by three methods show variance in the dates, but with similar spatial pattern. In 60% of the study area, the standard deviation (SD) of the estimated starting date from different method is less than 10 days, while 39.5% of total pixels have SDs between 10days and 30 days. Through comparative analysis against the observation phenological data, we concluded that Asymmetric Gaussians produced the most approximative results of all, followed by Double Logistic algorithm, and Savizky-Glolay algorithm performed worst. The starting dates of crops occur mostly between May and June in this region. The Savitzky-Golay has the earliest estimates, while the Asymmetric Gaussians and Double logistic fitting method show similar and later estimates, which are more consistent with the observed data.

  3. Predicting soil erosion using Rusle and NDVI time series from TM Landsat 5

    Directory of Open Access Journals (Sweden)

    Daniel Fonseca de Carvalho

    2014-03-01

    Full Text Available The objective of this work was to evaluate the seasonal variation of soil cover and rainfall erosivity, and their influences on the revised universal soil loss equation (Rusle, in order to estimate watershed soil losses in a temporal scale. Twenty-two TM Landsat 5 images from 1986 to 2009 were used to estimate soil use and management factor (C factor. A corresponding rainfall erosivity factor (R factor was considered for each image, and the other factors were obtained using the standard Rusle method. Estimated soil losses were grouped into classes and ranged from 0.13 Mg ha-1 on May 24, 2009 (dry season to 62.0 Mg ha-1 on March 11, 2007 (rainy season. In these dates, maximum losses in the watershed were 2.2 and 781.5 Mg ha-1 , respectively. Mean annual soil loss in the watershed was 109.5 Mg ha-1 , but the central area, with a loss of nearly 300.0 Mg ha-1 , was characterized as a site of high water-erosion risk. The use of C factor obtained from remote sensing data, associated to corresponding R factor, was fundamental to evaluate the soil erosion estimated by the Rusle in different seasons, unlike of other studies which keep these factors constant throughout time.

  4. Assessing vegetation response to climate variability via time series of NDVI, precipitation and soil moisture content

    OpenAIRE

    Hawinkel, Pieter; Swinnen, E; Tote, Carolien; Orshoven, Jos Van

    2012-01-01

    International EARSeL Workshop on Temporal Analysis of Satellite Images: 22-27. Organised on 24 - 25 May 2012, Mykonos Island, Greece, in conjunction with the 32nd EARSeL Symposium "Advances in Geosciences", 21-24 May 2012. Available online at http://www.earsel.org/SIG/timeseries/pdf/proceedings/proceedings_003.pdf .

  5. Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data

    Science.gov (United States)

    Gu, Y.; Hunt, E.; Wardlow, B.; Basara, J.B.; Brown, J.F.; Verdin, J.P.

    2008-01-01

    The evaluation of the relationship between satellite-derived vegetation indices (normalized difference vegetation index and normalized difference water index) and soil moisture improves our understanding of how these indices respond to soil moisture fluctuations. Soil moisture deficits are ultimately tied to drought stress on plants. The diverse terrain and climate of Oklahoma, the extensive soil moisture network of the Oklahoma Mesonet, and satellite-derived indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) provided an opportunity to study correlations between soil moisture and vegetation indices over the 2002-2006 growing seasons. Results showed that the correlation between both indices and the fractional water index (FWI) was highly dependent on land cover heterogeneity and soil type. Sites surrounded by relatively homogeneous vegetation cover with silt loam soils had the highest correlation between the FWI and both vegetation-related indices (r???0.73), while sites with heterogeneous vegetation cover and loam soils had the lowest correlation (r???0.22). Copyright 2008 by the American Geophysical Union.

  6. Can temporal and spatial NDVI predict regional bird-species richness?

    OpenAIRE

    Sebastián Nieto; Pedro Flombaum; Martín F. Garbulsky

    2016-01-01

    Understanding the distribution of the species and its controls over biogeographic scales is still a major challenge in ecology. National Park Networks provide an opportunity to assess the relationship between ecosystem functioning and biodiversity in areas with low human impacts. We tested the productivity–biodiversity hypothesis which states that the number of species increases with the available energy, and the ​variability–biodiversity hypothesis which states that the number of species inc...

  7. ANALISA INDEX VEGETASI NDVI DAN MCARI UNTUK PENENTUAN TUTUPAN LAHAN SAWAH STUDI KASUS: KABUPATEN KARAWANG

    Directory of Open Access Journals (Sweden)

    Hisyam Wardana

    2015-02-01

    Full Text Available Penginderaan jauh merupakan suatu ilmu atau teknologi untuk memperoleh informasi atau fenomena alam melalui analisis suatu data yang diperoleh dari hasil rekaman obyek, daerah ataufenomena yang dikaji. Perekaman atau pengumpulan data penginderaan jauh (inderaja dilakukan dengan menggunakan alat pengindera (sensor yang dipasang pada pesawat terbang atau satelit.Teknologi penginderaan jauh dapat menjadi solusi untuk pendeteksian tutupan lahan sawah untuk suatuwilayah yang cukup luas sehingga dibutuhkan waktu yang cepat. Airborne Hyperspektral merupakansalah satu metode penginderaan jauh yang dapat memberikan data informasi yang banyak karena terdiridari kanal yang banyak dan sempit.Dalam penelitian ini dilakukan dengan menggabungkan datahasil pemotretan dari pesawatmenggunakan data Airborne Hyperspectral di Kabupaten Indramayu Jawa Barat dengan data hasilground truth di lapangan. Dengan data ini akan dilakukan analisa pemetaan tutupan lahan sawah untukmengetahui areal persawahan yang terdapat di Kabupaten Karawang

  8. Mapping land cover gradients through analysis of hyper-temporal NDVI imagery

    NARCIS (Netherlands)

    Ali, A.; Bie, de C.A.J.M.; Skidmore, A.K.; Scarrott, R.G.; Hamad, A.A.; Venus, V.; Lymberakis, P.

    2013-01-01

    The green cover of the earth exhibits various spatial gradients that represent gradual changes in space of vegetation density and/or in species composition. To date, land cover mapping methods differentiate at best, mapping units with different cover densities and/or species compositions, but typica

  9. Analysis of multi-temporal SPOT NDVI images for small-scale land-use mapping

    NARCIS (Netherlands)

    Bie, de C.A.J.M.; Khan, M.R.; Smakhtin, V.U.; Venus, V.; Weir, M.J.C.; Smaling, E.M.A.

    2011-01-01

    Land-use information is required for a number of purposes such as to address food security issues, to ensure the sustainable use of natural resources and to support decisions regarding food trade and crop insurance. Suitable land-use maps often either do not exist or are not readily available. This

  10. Spectral gamma-ray signature of fluvial deposits: a case study from the Late Permian Rio do Rasto Formation, Parana Basin, Brazil; Assinatura gamaespectrometrica de depositos fluviais: estudo de caso na Formacao do Rio do Rasto, Permiano Superior da Bacia do Parana

    Energy Technology Data Exchange (ETDEWEB)

    Sowek, Guilherme Arruda, E-mail: arruda@ufpr.br [Universidade Federal do Parana (UFPR), Curitiba, PR (Brazil). Programa de Pos-graduacao em Geologia; Ferreira, Francisco Jose Fonseca; Vesely, Fernando Farias, E-mail: francisco.ferreira@ufpr.br, E-mail: vesely@ufpr.br [Universidade Federal do Parana (UFPR), Curitiba, PR (Brazil). Dept. de Geologia. Setor de Ciencias da Terra; Berton, Fabio, E-mail: fabioberton1@yahoo.com.br [Universidade Federal do Parana (UFPR), Curitiba, PR (Brazil)

    2013-09-15

    Fluvial channel-fill deposits form highly heterogeneous hydrocarbon reservoirs. The study of outcrop analogs can help in the characterization of these heterogeneities, which are usually not detected by subsurface geophysical methods. The aim of this research is to compare outcrop log signatures with grain size trends and depositional elements of the fluvial deposits of the Late Permian Rio do Rasto Formation. A series of vertical gamma-ray logs were assembled in two outcrops in order to: 1) characterize log-facies in a succession composed of alternated flood plain, channel fill and eolian strata; 2) define within-channel spectral gamma-ray variability of a mixed-load composite point bar deposit and its relationship with grain size trends and lithofacies; 3) correlate log signatures observed in the outcrop sections with deep exploratory wells drilled several tens of kilometers from the study area. The results of this study show that gamma-ray logs have good correlation with grain size trends and that different depositional elements have distinct signatures. On the other hand, point bar deposits exhibit strong lateral changes in log signature due variations in grain size and mud content within lateral accretion strata. Although frequent, the classic bell-shaped log motif was not always detected, which means that the amount of fluvial channel-fill deposits recognized in subsurface can be underestimated. Similar log signatures were detected in the boreholes, at least in the closest ones, helping in paleoenvironmental interpretation in the subsurface. (author)

  11. Distribuição e assinatura isotópica de Pb em sedimentos de fundo da Foz do Rio Guamá e da Baía do Guajará (Belém - Pará

    Directory of Open Access Journals (Sweden)

    Suziane Nascimento Santos

    2012-01-01

    Full Text Available Lead analyses in bottom sediments from the hydrographic system of Belem (Para indicated low contents of this metal for the sediments from the Guama river, with no significant anthropogenic contribution. A concentration of 18.1 ± 1.5 mg kg-1 and 206Pb/207Pb isotopic signature of 1.196 ± 0.002 are assigned for Pb from natural sources. On the other hand, the significant increase of Pb contents in the sediments from the Guajará bay, together with the decrease of 206Pb/207Pb ratios (1.172 < 206Pb/207Pb < 1.188 point to an anthropogenic lead contribution, originated by the industrial and urban activities of the city of Belem.

  12. Geochemistry and Nd-Sr isotopic signatures of the Pensamiento Granitoid Complex, Rondonian-San Ignacio Province, eastern precambrian shield of Bolivia: petrogenetic constraints for a mesoproterozoic magmatic arc setting;Geoquimica e assinaturas Nd-Sr do Complexo Granitoide Pensamiento, provincia Rondoniana-San Ignacio, pre-cambriano de Bolivia Oriental: caracterizacao petrogenetica de um arco magmatico no mesoproterozoico

    Energy Technology Data Exchange (ETDEWEB)

    Matos, Ramiro, E-mail: rmatoss@igc.usp.b [Universidad Mayor de San Andre (UMSA), La Paz (Bolivia, Plurinational State of). Inst. de Investigaciones Geologicas y del Medio Ambiente; Teixeira, Wilson; Bettencourt, Jorge Silva, E-mail: wteixeir@usp.b, E-mail: jsbetten@usp.b [Universidade de Sao Paulo (IGC/USP), SP (Brazil). Inst. de Geociencias. Dept. de Mineralogia e Geotectonica; Geraldes, Mauro Cesar, E-mail: geraldes@uerj.b [Universidade do Estado do Rio de Janeiro (FG/UERJ), RJ (Brazil). Faculdade de Geologia

    2009-07-01

    The Pensamiento Granitoid Complex (PGC), located in the northern part of the eastern Precambrian shield of Bolivia, is tectonically assigned to the Rondonian-San Ignacio Province (1.55 - 1.30 Ga) of the Amazonian Craton that is made up by Archean and Proterozoic provinces. The Proterozoic ones result from accretionary orogens that become successively younger south westwards, such as the Rondonian/San Ignacio (1.37 - 1.32 Ga) and the Sunsas orogenies (1.20 - 1.00 Ga). The PGC crops out mainly on the 'Paragua craton' bounded to the south by the Sunsas belt, and composed of granites and subvolcanic terms, and subordinately of syenites, granodiorites, tonalites, trondhjemites and diorites as orogenic representatives of the Rondonian/San Ignacio Orogeny, intrusive into the Lomas Maneches (ca. 1.68 Ga) and Chiquitania (ca. 1.7 Ga) complexes. Thirteen whole rock chemical analyses for major, trace and REE elements were performed for the La Junta, San Martin, Diamantina, Porvernir, San Cristobal, Piso Firme plutons of the PGC. The negative trends of MgO, Al{sub 2}O{sub 3} and CaO contents with increasing SiO{sub 2} suggest that fractional crystallization played an important role in the petrogenesis of the investigated rocks. The data also indicate a mainly peraluminous, sub-alkaline to high-K calc-alkaline composition, and fractionated LREE/HREE patterns are consistent with a magmatic arc character for these plutons. SHRIMP U-Pb zircon ages of the La Junta and San Martin syn- to late-kinematic plutons are 1347 {+-} 21 Ma and 1373 {+-} 20 Ma respectively, and the Sm-Nd T{sub DM} model ages are between 1.9 to 2.0 Ga, while {epsilon}{sub Nd(1330)} values range from +1.8 to -4.3, respectively. In addition, the late- to post-kinematic Diamantina pluton yields SHRIMP U-Pb zircon age of 1340 {+-} 20 Ma, and variable Sm-Nd T{sub DM} model ages (1.6 to 1.9 Ga) and {epsilon}{sub Nd(1330)} values (+0.4 to -1.2) that are comparable with previous results found for other coeval plutons. The Porvenir, San Cristobal and Piso Firme plutons show {epsilon}{sub Nd(1330)} signatures varying from +1.5 to +2.7, in agreement with a plutonic arc setting as is suggested for the Diamantina pluton. Integrated interpretation of the geochemical and isotopic data coupled with new geologic correlations of the PGC with contemporary units in the Brazilian counterpart establishes one Mesoproterozoic magmatic arc in the evolution of the Rondonian-San Ignacio province. (author)

  13. Sr and Nd isotopic signature of the high-K calc-alkaline magmatism of the central Ribeira belt: the Sao Pedro Granite in Lumiar, RJ; Assinatura isotopica de Sr e Nd do magmatismo calcio-alcalino de alto-K na Faixa Ribeira central: o exemplo do Granito Sao Pedro em Lumiar, RJ

    Energy Technology Data Exchange (ETDEWEB)

    Mendes, Julio Cezar; Medeiros, Silvia Regina de; Chaves, Eduardo Amorim, E-mail: julio@geologia.ufrj.br, E-mail: silvia@geologia.ufrj.br, E-mail: edupc2@yahoo.com.br [Departamento de Geologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro (RJ) (Brazil)

    2011-09-15

    In the central-northern Ribeira belt there are many granitic to granodioritic bodies showing varied shape and size, characterizing a late- to post-collisional Ca-alkaline, cordilleran I-type province. The Sao Pedro Granite occurs in the mountain region of Rio de Janeiro State as small post-collisional bodies. It presents isotropic fabric, equigranular to seriate inequigranular texture, as well as local concentration of allanite, which gives discrete composition and texture variation to the rock. The granite has a high-K calcalkaline to alkali-calcic character and weakly peraluminous nature. Despite its short geochemical variation, high Ba, Zr and Th contents besides low concentrations of MgO and CaO are noticeable. High REE contents are associated with fractionated REE patterns showing strong negative Eu anomalies. A crustal origin for the granite can be assumed by its very negative and positive .Nd and .Sr values, respectively, as well as by 87Sr/86Sr initial ratios ranging from 0,718 to 0,740. TDM ages point to paleoproterozoic source, which agrees with geological time of intensive crust generation. (author)

  14. Método híbrido interativo sarima support vector regression wavelet de múltiplos núcleos na previsão de séries temporais de instrumentos de barragens

    OpenAIRE

    Rodrigues, Samuel Bellido

    2015-01-01

    Orientador : Prof. Dr. Arinei Carlos Lindbeck da Silva Co-orientador : Prof. Dr. Luiz Albino Teixeira Júnior Tese (doutorado) - Universidade Federal do Paraná, Setor de Tecnologia, Programa de Pós-Graduação em Métodos Numéricos em Engenharia. Defesa: Curitiba, 22/12/2015 Inclui referências : f.82-93 Resumo: Nesta tese de Doutorado é apresentado um novo método preditivo híbrido, formado basicamente pela combinação dos métodos SARIMA, Support Vector Regression e Wavelet, denominado ...

  15. Memória e ritmos temporais: o pluralismo coerente da duração no interior das dinâmicas da cultura urbano-contemporânea

    Directory of Open Access Journals (Sweden)

    Ana Luiza Carvalho da Rocha

    2009-06-01

    Full Text Available Nosso objetivo neste artigo é investir no estudo da memória coletiva no mundo urbano como resultado da ação recíproca de indivíduos e de grupos. Destacamos a importância das formas específicas dos arranjos da vida social segundo a complexidade e dinâmica da vida moderna de seus habitantes. Propomos uma etnografia da duração, para tratar do tempo e da memória no âmbito do campo antropológico. Trata-se de aprofundar a compreensão do processo de territorialização/desterritorialização de identidades sociais no mundo contemporâneo. Sugere-se a noção de ritmo como démarche para o conhecimento do movimento da descontinuidade/continuidade como sistema de valores acionados por tais grupos e de suas formas de sociabilidade no contexto citadino.

  16. Variações temporais no grau de glicemia e condição corporal de Artibeus planirostris em áreas de tabuleiro e mata atlântica no estado da Paraíba

    OpenAIRE

    2013-01-01

    As variações no Índice de Condição Corporal (ICC), glicemia e cetonemia de Artibeus planirostris (Chiroptera: Phyllostomidae) foram analisadas em áreas de Tabuleiro e Mata Atlântica da Paraíba em campo e cativeiro. O ICC escolhido foi baseado na menor influência do comprimento do antebraço na massa corporal e avaliado de acordo com o sexo, estado reprodutivo, local e horário de coleta. A glicemia e cetonemia também foram correlacionadas entre si, com o ICC e as demais variáveis...

  17. Temporal trends of HIV-related risk behavior among brazilian military conscripts, 1997-2002 Tendências temporais de comportamento sexual de risco para infecção pelo HIV em conscritos brasileiros, 1997-2002

    Directory of Open Access Journals (Sweden)

    Célia Landmann Szwarcwald

    2005-10-01

    Full Text Available PURPOSE: To present selected results of military conscript surveys related to HIV/AIDS, conducted in Brazil, 1997-2002. METHODS: Questionnaires including information on socio-demographic data, sexual behavior practices, sexually transmitted infections-related problems, and use of injecting drugs were completed by 30970 individuals, obtained through a 2-stage sampling. An index of sexual risk behavior was developed to take into account multiplicity of partners and irregularity of condom use. The HIV infection prevalence rate was estimated for 2002. Logistic regression was used to identify the most important determinants of HIV infection. RESULTS: The percentage of regular condom use increased from 38% (1997 to 49% (2002, and the index of sexual risk behavior decreased from 0.98 in 1997 to 0.87, in 2002. The HIV infection prevalence rate was 0.09%, in 2002, which remained unchanged since1998 Riskier sexual practices among young men with incomplete education and among "men who have sex with men" were found as well as among the participants who reported at least one sexually transmitted infections - related problem. The most important predictor of HIV infection was to be positive for syphilis. CONCLUSIONS: The estimated value of the HIV infection prevalence supports the diagnosis of a concentrated HIV epidemic, in Brazil. Results indicate that particular attention needs to be paid for regional differentials, and for special subgroups, in Brazil.OBJETIVO: Apresentar determinados resultados de levantamentos sobre HIV/AIDS em conscritos do Exército Brasileiro, conduzidos em 1997-2002. MÉTODOS: Aplicaram-se questionários em 30970 conscritos, selecionados segundo um esquema de amostragem em 2 estágios, para obter informações sobre comportamento sexual, problemas relacionados a infecções sexualmente transmitidas e uso de drogas injetáveis. Desenvolveu-se um índice de comportamento sexual de risco para contemplar multiplicidade de parceria sexual e uso de preservativo. Estimou-se, para o ano de 2002, a taxa de prevalência de infecção pelo HIV. RESULTADOS: A porcentagem de uso regular de preservativo aumentou de 38%, em 1997, para 49%, em 2002. O índice de comportamento sexual de risco decresceu de 0,98 em 1997 para 0,87, em 2002. O índice de prevalência de infecção HIV foi de 0.09%, in 2002, permanecendo inalterado desde 1998 Práticas sexuais de maior risco foram observadas entre aqueles com baixa escolaridade e em "homens que fazem sexo com homens", como também entre aqueles com problemas de infecções sexualmente transmissíveis. O mais importante preditor de infecção pelo HIV foi a soropositividade para lues. CONCLUSÕES: A prevalência estimada de infeção pelo HIV suporta o diagnóstico que a epidemia de AIDS, no Brasil, é do tipo "concentrada". Os resultados indicam que são necessárias medidas de intervenção que contemplem diferenças regionais e também voltadas para subgrupos populacionais especiais.

  18. Redes Bayesianas: um método para avaliação de interdependência e contágio em séries temporais multivariadas

    Directory of Open Access Journals (Sweden)

    João Vinícius de França Carvalho

    2013-06-01

    Full Text Available O objetivo deste trabalho consiste em identificar a existência de contágio financeiro utilizando a inovadora metodologia de Redes Bayesianas, executando-se uma análise sequencial. A análise da interdependência de mercados internacionais é realizada em períodos de crises financeiras, ocorridas entre os anos 1996 e 2009, envolvendo países nos quais foi possível avaliar seus efeitos e objetos de estudos similares na literatura. Os resultados apontaram para diversas evidências de contágio em períodos de crise, com causadores bem definidos. Por fim, verificou-se que, após as diversas crises, os mercados estavam muito mais interligados do que no período inicialmente adotado.

  19. Expressão de certeza e dúvida na gagueira: estudo dos aspectos temporais da fala Expression of certainty and doubt on stuttering: study of speech's temporal features

    Directory of Open Access Journals (Sweden)

    Leticia Correa Celeste

    2012-01-01

    Full Text Available OBJETIVO: examinar o papel da organização temporal do discurso na expressão das atitudes de certeza e dúvida em grupo de adultos com gagueira, comparando-a em um grupo de adultos fluentes. MÉTODO: participaram desta pesquisa 24 indivíduos, sendo 12 com gagueira (GE1 e GE2 e 12 sem gagueira (GC. Foram coletadas amostras que teve como base um corpus de 10 frases chave que foram produzidas nas formas neutra, de dúvida e de certeza, totalizando 840 enunciados. A análise acústica foi realizada por meio do programa Praat e os seguintes parâmetros foram analisados: tempos e taxas de elocução e articulação, ocorrência e duração de pausas e disfluências, duração das vogais tônica e pré-tônica e ocorrência da vogal pós-tônica. A análise estatística foi realizada por meio dos testes Kruskall Wallis e qui-quadrado, com índice de significância de 95%. RESULTADOS: a expressão da dúvida apresenta taxa de articulação mais baixa no grupo controle, seguida da forma neutra e de certeza, com diferenças estatisticamente significantes. Ainda no grupo controle, foi observado presença de pausas e disfluências somente na expressão de dúvida. No grupo experimental, a maior diferença encontrada foi na duração da vogal da sílaba tônica. CONCLUSÃO: de uma forma geral, o GC variou mais sua organização temporal a fim de expressar as atitudes. No entanto, é possível observar também uma tendência semelhante no grupo de pessoas com gagueira. Quanto à velocidade de fala, ao retirar as pausas e as disfluências, vemos que tanto GE1 quanto GE2 diferenciam a certeza, articulando cada sílaba de forma mais rápida.PURPOSE: to examine the role of speech temporal organization on the expression as for the attitudes of certainty and doubt in the group of adults who stutter, comparing such analysis with a group of speech-fluent adults. METHOD: we analyzed 24 individuals, 12 with stuttering (SG1 and SG2 and 12 without stuttering (CG. Samples were collected with a corpus of 10 key phrases that were produced in the neutral form, expressing doubt and certainty, totaling 840 utterances. The acoustic analysis was performed using Praat and the following parameters were analyzed: time and speech rate and articulation, presence and duration of pauses and disfluencies, duration of vowels in pre-tonic and tonic syllables and occurrence of post-tonic vowel. Statistical analysis was performed by using Kruskall Wallis and chi-square tests, with a significance level of 95%. RESULTS: the expression of doubt has the lowest rate of articulation in the control group, followed by neutral and certainty expressions, with statistically significant differences. Also in the control group, there was presence of pauses and disfluencies only in the expression of doubt. In the experimental group, the largest difference was found in the vowel duration of the stressed syllable. CONCLUSION: generally speaking, CG varied more its temporal organization in order to express attitudes. However, it is also possible to note a trend in the group of people who stutter. As for the speech rate, by removing the pauses and disfluencies, we see that both GE1 and GE2 differentiate certainty, faster articulating each syllable.

  20. Downscaling 250-m MODIS growing season NDVI based on multiple-date landsat images and data mining approaches

    Science.gov (United States)

    Gu, Yingxin; Wylie, Bruce K.

    2015-01-01

    The satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. The 250-m GSN data estimated from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors have been used for terrestrial ecosystem modeling and monitoring. High temporal resolution with a wide range of wavelengths make the MODIS land surface products robust and reliable. The long-term 30-m Landsat data provide spatial detailed information for characterizing human-scale processes and have been used for land cover and land change studies. The main goal of this study is to combine 250-m MODIS GSN and 30-m Landsat observations to generate a quality-improved high spatial resolution (30-m) GSN database. A rule-based piecewise regression GSN model based on MODIS and Landsat data was developed. Results show a strong correlation between predicted GSN and actual GSN (r = 0.97, average error = 0.026). The most important Landsat variables in the GSN model are Normalized Difference Vegetation Indices (NDVIs) in May and August. The derived MODIS-Landsat-based 30-m GSN map provides biophysical information for moderate-scale ecological features. This multiple sensor study retains the detailed seasonal dynamic information captured by MODIS and leverages the high-resolution information from Landsat, which will be useful for regional ecosystem studies.

  1. Integration of MODIS-derived metrics to assess interannual variability in snowpack, lake ice, and NDVI in southwest Alaska

    Science.gov (United States)

    Reed, Bradley C.; Budde, Michael E.; Spencer, Page; Miller, Amy E.

    2009-01-01

    Impacts of global climate change are expected to result in greater variation in the seasonality of snowpack, lake ice, and vegetation dynamics in southwest Alaska. All have wide-reaching physical and biological ecosystem effects in the region. We used Moderate Resolution Imaging Spectroradiometer (MODIS) calibrated radiance, snow cover extent, and vegetation index products for interpreting interannual variation in the duration and extent of snowpack, lake ice, and vegetation dynamics for southwest Alaska. The approach integrates multiple seasonal metrics across large ecological regions. Throughout the observation period (2001-2007), snow cover duration was stable within ecoregions, with variable start and end dates. The start of the lake ice season lagged the snow season by 2 to 3??months. Within a given lake, freeze-up dates varied in timing and duration, while break-up dates were more consistent. Vegetation phenology varied less than snow and ice metrics, with start-of-season dates comparatively consistent across years. The start of growing season and snow melt were related to one another as they are both temperature dependent. Higher than average temperatures during the El Ni??o winter of 2002-2003 were expressed in anomalous ice and snow season patterns. We are developing a consistent, MODIS-based dataset that will be used to monitor temporal trends of each of these seasonal metrics and to map areas of change for the study area.

  2. DEPENDENCE OF NDVI AND SAVI ON SUN/SENSOR GEOMETRY AND ITS EFFECT ON FAPAR RELATIONSHIPS IN ALFALFA. (R828676)

    Science.gov (United States)

    The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Concl...

  3. Analysis of trends in the Sahelian 'rain-use efficiency' using GIMMS NDVI, RFE and GPCP rainfall data

    DEFF Research Database (Denmark)

    Fensholt, Rasmus; Rasmussen, Kjeld

    2011-01-01

    Rain-use efficiency (RUE; the ratio of vegetation productivity to annual precipitation) has been suggested as a measure for assessing land degradation in arid/semi-arid areas. In the absence of anthropogenic influence, RUE has been reported to be constant over time, and any observed change may...... therefore be attributed to non-rainfall impacts. This study presents an analysis of the decadal time-scale changes in the relationship between a proxy for vegetation productivity (SNDVI) and annual rainfall in the Sahel-Sudanian zone of Africa. The aim is to test the quality of data input and the usefulness....... An alternativemethod identify temporal trends in residuals of SNDVI, after regressing it against annual rainfall, is tested, yet is shown to be useful only where a high correlation between SNDVI and annual rainfall exists. For the areas in the Sahel-Sudanian zone forwhich this condition is fulfilled, trend analyses...

  4. Investigating the Relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection

    Directory of Open Access Journals (Sweden)

    Antonino Maltese

    2013-03-01

    Full Text Available Monitoring spatial and temporal variability of vegetation is important to manage land and water resources, with significant impact on the sustainability of modern agriculture. Cloud cover noticeably reduces the temporal resolution of retrievals based on optical data. COSMO-SkyMed (the new Italian Synthetic Aperture RADAR-SAR opened new opportunities to develop agro-hydrological applications. Indeed, it represents a valuable source of data for operational use, due to the high spatial and temporal resolutions. Although X-band is not the most suitable to model agricultural and hydrological processes, an assessment of vegetation development can be achieved combing optical vegetation indices (VIs and SAR backscattering data. In this paper, a correlation analysis has been performed between the crossed horizontal-vertical (HV backscattering (s°HV and optical VIs (VIopt on several plots. The correlation analysis was based on incidence angle, spatial resolution and polarization mode. Results have shown that temporal changes of s°HV (Δs°HV acquired with high angles (off nadir angle; θ > 40° best correlates with variations of VIopt (ΔVI. The correlation between ΔVI and Δs°HV has been shown to be temporally robust. Based on this experimental evidence, a model to infer a VI from s° (VISAR at the time, ti + 1, once known, the VIopt at a reference time, ti, and Δs°HV between times, ti + 1 and ti, was implemented and verified. This approach has led to the development and validation of an algorithm for coupling a VIopt derived from DEIMOS-1 images and s°HV. The study was carried out over the Sele plain (Campania, Italy, which is mainly characterized by herbaceous crops. In situ measurements included leaf area index (LAI, which were collected weekly between August and September 2011 in 25 sites, simultaneously to COSMO-SkyMed (CSK and DEIMOS-1 imaging. Results confirm that VISAR obtained using the combined model is able to increase the feasibility of operational satellite-based products for supporting agricultural practices. This study is carried out in the framework of the COSMOLAND project (Use of COSMO-SkyMed SAR data for LAND cover classification and surface parameters retrieval over agricultural sites funded by the Italian Space Agency (ASI.

  5. Assessing Habitat Quality of Forest-Corridors through NDVI Analysis in Dry Tropical Forests of South India: Implications for Conservation

    OpenAIRE

    Paramesha Mallegowda; Ganesan Rengaian; Jayalakshmi Krishnan; Madhura Niphadkar

    2015-01-01

    Most wildlife habitats and migratory routes are extremely threatened due to increasing demands on forestland and forest resources by burgeoning human population. Corridor landscape in Biligiri Rangaswamy Temple Tiger Reserve (BRT) is one among them, subjected to various anthropogenic pressures. Human habitation, intensive farming, coffee plantations, ill-planned infrastructure developments and rapid spreading of invasive plant species Lantana camara, pose a serious threat to wildlife habitat ...

  6. Improving the SMAC atmospheric correction code by analysis of Meteosat Second Generation NDVI and surface reflectance data

    DEFF Research Database (Denmark)

    Proud, Simon Richard; Rasmussen, M.O.; Fensholt, R.;

    2010-01-01

    ) radiative transfer model and the Simplified Method for Atmospheric Correction (SMAC) codes have been used for this atmospheric correction, but previous studies have shown that in a number of situations the quality of correction provided by the SMAC is low. This paper describes a method designed to improve...

  7. 基于MODIS数据的植被指数分析%Analysis of NDVI Based on MODIS Data

    Institute of Scientific and Technical Information of China (English)

    向天梁; 张志艺

    2009-01-01

    针对宏观土地覆盖遥感分类的现状,充分利用MODIS相对于AVHRR数据具有的多光谱和分辨率优势,提出了利用MODIS数据进行分类特征选择与提取并结合多时相特征进行宏观土地覆盖分类的分类方法,并进行了分类试验.

  8. Assessing vegetation structure and ANPP dynamics in a grassland-shrubland Chihuahuan ecotone using NDVI-rainfall relationships.

    OpenAIRE

    Moreno-de las Heras, M.; Diaz-Sierra, R.; Turnbull, L.; Wainwright, J.

    2015-01-01

    Climate change and the widespread alteration of natural habitats are major drivers of vegetation change in drylands. A classic case of vegetation change is the shrub-encroachment process that has been taking place over the last 150 years in the Chihuahuan Desert, where large areas of grasslands dominated by perennial grass species (black grama, Bouteloua eriopoda, and blue grama, B. gracilis) have transitioned to shrublands dominated by woody species (creosotebush, Larrea tride...

  9. Using earth observation-based dry season NDVI trends for assessment of changes in tree cover in the Sahel

    DEFF Research Database (Denmark)

    Horion, Stéphanie Marie Anne F; Fensholt, Rasmus; Tagesson, Håkan Torbern

    2014-01-01

    satellite sensors: Système Pour l'Observation de la Terre (SPOT)-VEGETATION (VGT), Terra Moderate Resolution Imaging Spectroradiometer (MODIS), and the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) dataset. To evaluate the reliability of using NDVImin...... low-resolution satellite time series were found to be uncorrelated to dry grass residues from the preceding growing season and to seasonal fire frequency and timing over most of the Sahel (88%), suggesting that NDVImin can serve as a proxy for assessing changes in tree cover. Good agreement (R2= 0...

  10. Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper - temporal SPOT NDVI image analysis

    NARCIS (Netherlands)

    Nguyen, T.T.H.; Bie, de C.A.J.M.; Ali, A.; Smaling, E.M.A.

    2012-01-01

    Successful identification and mapping of different cropping patterns under cloudy conditions of a specific crop through remote sensing provides important baseline information for planning and monitoring. In Vietnam, this information is either missing or unavailable; several ongoing projects studying

  11. Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam through hyper-temporal SPOT NDVI image analysis

    NARCIS (Netherlands)

    Nguyen, Thi Thu Ha; Bie, de C.A.J.M.; Ali, A.; Smaling, E.M.A.; Hoanh, C.T.

    2012-01-01

    Successful identification and mapping of different cropping patterns under cloudy conditions of a specific crop through remote sensing provides important baseline information for planning and monitoring. In Vietnam, this information is either missing or unavailable; several ongoing projects studying

  12. Detecting leaf pulvinar movements on NDVI time series of desert trees: A new approach for water stress detection

    NARCIS (Netherlands)

    Chávez Oyanadel, R.O.; Clevers, J.G.P.W.; Verbesselt, J.; Naulin, P.; Herold, M.

    2014-01-01

    Heliotropic leaf movement or leaf ‘solar tracking’ occurs for a wide variety of plants, including many desert species and some crops. This has an important effect on the canopy spectral reflectance as measured from satellites. For this reason, monitoring systems based on spectral vegetation indices,

  13. Gross primary productivity of the true steppe in central Asia in relation to NDVI: scaling up CO2 fluxes

    Science.gov (United States)

    Gilmanov, Tagir G.; Johnson, Douglas A.; Saliendra, Nicanor Z.; Akshalov, Kanat; Wylie, Bruce K.

    2004-01-01

    Compared to other characteristics of CO2 exchange, gross primary productivity (P g ) is most directly related to photosynthetic activity. Until recently, it was considered difficult to obtain measurement-based P g . The objective of our study was to evaluate if P g can be estimated from continuous CO2 flux measurements using nonlinear identification of the nonrectangular hyperbolic model of ecosystem-scale, light-response curves. Estimates of P g and ecosystem respiration (R e ) were obtained using Bowen ratio– energy-balance measurements of CO2 exchange in a true-steppe ecosystem in northern Kazakhstan during four growing seasons (1998–2001). The maximum mean weekly apparent quantum yield (αmax) was 0.0388 mol CO2 mol photons and the maximum mean weekly P g was 28 g CO2/m2/day in July 2000. The highest mean weekly R e max (20 g CO2m2/day) was observed in July of both 1999 and 2000. Nighttime respiration calculated from daily respiration corrected for length of the dark period and temperature (using Q 10 = 2) was closely associated with measured nighttime respiration (R 2 = 0.67 to 0.93). The 4-year average annual gross primary production (GPP) was 1617 g CO2/m2/ year (range = 1308–1957). Ten-day normalized difference vegetation index corrected for the start of the season (NDVIsos) was closely associated with 10-day average P g (R 2 = 0.66 to 0.83), which was higher than R 2 values for regressions of mean 10-day net daytime fluxes on NDVIsos (0.55–0.72). This demonstrates the advantage of usingP g in scaling up flux-tower measurements compared to other characteristics (net daytime flux or net 24-h flux).

  14. XAdES4J: a java library for XAdES signature services

    OpenAIRE

    Gonçalves, Luís Filipe dos Santos

    2010-01-01

    As comunicações electrónicas são cada vez mais o meio de eleição para negócios entre entidades e para as relações entre os cidadãos e o Estado (e-government). Esta diversidade de transacções envolve, muitas vezes, informação sensível e com possível valor legal. Neste contexto, as assinaturas electrónicas são uma importante base de confiança, fornecendo garantias de integridade e autenticação entre os intervenientes. A produção de uma assinatura digital resulta não só no valor da assinatura...

  15. EXPLORING THE CORRELATION BETWEEN SOUTHERN AFRICAN NDVI AND ENSO SEA SURFACE TEMPERATURES: RESULTS FOR THE 1998 MAIZE GROWING SEASON. (U915612)

    Science.gov (United States)

    The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Concl...

  16. Increasing summer net CO2 uptake in high northern ecosystems inferred from atmospheric inversions and comparisons to remote-sensing NDVI

    Science.gov (United States)

    Welp, Lisa R.; Patra, Prabir K.; Rödenbeck, Christian; Nemani, Rama; Bi, Jian; Piper, Stephen C.; Keeling, Ralph F.

    2016-07-01

    Warmer temperatures and elevated atmospheric CO2 concentrations over the last several decades have been credited with increasing vegetation activity and photosynthetic uptake of CO2 from the atmosphere in the high northern latitude ecosystems: the boreal forest and arctic tundra. At the same time, soils in the region have been warming, permafrost is melting, fire frequency and severity are increasing, and some regions of the boreal forest are showing signs of stress due to drought or insect disturbance. The recent trends in net carbon balance of these ecosystems, across heterogeneous disturbance patterns, and the future implications of these changes are unclear. Here, we examine CO2 fluxes from northern boreal and tundra regions from 1985 to 2012, estimated from two atmospheric inversions (RIGC and Jena). Both used measured atmospheric CO2 concentrations and wind fields from interannually variable climate reanalysis. In the arctic zone, the latitude region above 60° N excluding Europe (10° W-63° E), neither inversion finds a significant long-term trend in annual CO2 balance. The boreal zone, the latitude region from approximately 50-60° N, again excluding Europe, showed a trend of 8-11 Tg C yr-2 over the common period of validity from 1986 to 2006, resulting in an annual CO2 sink in 2006 that was 170-230 Tg C yr-1 larger than in 1986. This trend appears to continue through 2012 in the Jena inversion as well. In both latitudinal zones, the seasonal amplitude of monthly CO2 fluxes increased due to increased uptake in summer, and in the arctic zone also due to increased fall CO2 release. These findings suggest that the boreal zone has been maintaining and likely increasing CO2 sink strength over this period, despite browning trends in some regions and changes in fire frequency and land use. Meanwhile, the arctic zone shows that increased summer CO2 uptake, consistent with strong greening trends, is offset by increased fall CO2 release, resulting in a net neutral trend in annual fluxes. The inversion fluxes from the arctic and boreal zones covering the permafrost regions showed no indication of a large-scale positive climate-carbon feedback caused by warming temperatures on high northern latitude terrestrial CO2 fluxes from 1985 to 2012.

  17. Derivation from the Landsat 7 NDVI and ground truth validation of LAI and interception storage capacity for wetland ecosystems in Biebrza Valley, Poland

    Science.gov (United States)

    Suliga, Joanna; Chormański, Jarosław; Szporak-Wasilewska, Sylwia; Kleniewska, Małgorzata; Berezowski, Tomasz; van Griensven, Ann; Verbeiren, Boud

    2015-10-01

    Wetlands are very valuable areas because they provide a wide range of ecosystems services therefore modeling of wetland areas is very relevant, however, the most widely used hydrological models were developed in the 90s and usually are not adjusted to simulate wetland conditions. In case of wetlands including interception storage into the model's calculation is even more challenging, because literature data hardly exists. This study includes the computation of interception storage capacity based on Landsat 7 image and ground truthing measurements conducted in the Biebrza Valley, Poland. The method was based on collecting and weighing dry, wet and fully saturated samples of sedges. During the experiments measurements of fresh/dry biomass and leaf area index (LAI) were performed. The research was repeated three times during the same season (May, June and July 2013) to observe temporal variability of parameters. Ground truthing measurements were used for the validating estimation of parameters derived from images acquired in a similar period as the measurements campaigns. The use of remote sensing has as major advantage of being able to obtain an area covering spatially and temporally distributed estimate of the interception storage capacity. Results from this study proved that interception capacity of wetlands vegetation is changing considerably during the vegetation season (temporal variability) and reaches its maximum value when plants are fully developed. Different areas depending on existing plants species are characterized with different values of interception capacity (spatial variability). This research frames within the INTREV and HiWET projects, funded respectively by National Science Centre (NCN) in Poland and BELSPO STEREO III.

  18. A longa duração e as estruturas temporais em Fernand Braudel: de sua tese O Mediterrâneo e o Mundo Mediterrânico na Época de Felipe II até o artigo História e Ciências Sociais : a longa duração (1949-1958)

    OpenAIRE

    Cracco, Rodrigo Bianchini [UNESP

    2009-01-01

    Fernand Braudel defende a pesquisa histórica que prioriza a longa duração. Os próprios fundadores da revista dos Annales já pensavam a história a partir de longos períodos, contrapondo-se à história política dos séculos XVIII e XIX, ainda que Fernand Braudel afirme que a história política não é exclusivamente factual, nem condenada a sê-lo. Para entendermos como Fernand Braudel chega a esta posição é necessário refletir sobre as influências que o levaram a tal, dentre as quais e, principalmen...

  19. Flutuações temporais nos padrões de distribuição diamétrica da comunidade arbóreo-arbustivo e de 15 populações em um fragmento florestal Temporal fluctuations in the diametric distribution patterns of the trees and shrub community and 15 populations in a forest fragment

    Directory of Open Access Journals (Sweden)

    Evandro Luiz Mendonça Machado

    2010-08-01

    Full Text Available Objetivando caracterizar possíveis flutuações nos padrões de distribuição diamétrica foram analisadas, num intervalo de cinco anos (2000-2005, a comunidade e as populações das 15 espécies mais abundantes do compartimento arbóreo de um remanescente de Floresta Semidecídua. A distribuição diamétrica da comunidade apresentou alta concentração nas classes menores e diminuição acentuada no sentido das maiores (J-invertido, em ambos os inventários. As populações apresentaram padrões distintos, arbitrariamente distribuídos em dois grupos: Grupo 1, formado por espécies de menor porte e abundantes no sub-bosque, como Galipea jasminiflora, Allophylus edulis, Sebastiania commersoniana, Dendropanax cuneatus e Mollinedia widgrenii, e também espécies de árvores altas e pioneiras, como Acacia polyphylla e Piptadenia gonoacantha, cujas distribuições diamétricas seguiram o modelo J-invertido. Com exceção de Calycorectes acutatus, todas as demais espécies do Grupo 2 (Platycyamus regnellii, Cupania vernalis, Machaerium stipitatum, Machaerium villosum, Copaifera langsdorffii, Persea major e Cassia ferruginea eram de maior porte, cujos adultos predominavam no dossel da floresta, elevando a área basal e apresentando densidade de indivíduos menor nas classes diamétricas inferiores. No intervalo considerado, apenas D. cuneatus alterou seu padrão de distribuição (Grupo 1-Grupo 2, enquanto as demais os acentuaram. No Grupo 1, a síndrome de dispersão preferencial era anemocórica ou autocórica, ao passo que no Grupo 2 predominava a zoocoria. Assim, o remanescente, por apresentar área pequena, forma alongada e localização semiurbana associada a um regime de intensas perturbações, pode ter ocasionado empobrecimento da fauna dispersora, prejudicando a taxa de recrutamento.Aiming to characterize possible fluctuations in the patterns of diametric distribution, the community and the populations of the 15 most abundant tree species in a fragment of semideciduous forest were analyzed in a five year interval (2000-2005. The diametric distribution of the community showed a high concentration in the smaller classes and accentuated reduction in the biggest classes (reverse-J-shape, for both surveys. The populations presented different patterns, randomly distributed in two groups. Group1, formed by species of smaller diameters and abundant in the sub-canopy, such as Galipea jasminiflora, Allophylus edulis, Sebastiania commersoniana, Dendropanax cuneatus and Mollinedia widgrenii, and also by pioneer species of high trees, Acacia polyphylla and Piptadenia gonoacantha followed the reverse-J-shape curve diametric distributions . All species of Group2 (Platycyamus regnellii, Cupania vernalis, Machaerium stipitatum, Machaerium villosum, Copaifera langsdorffii, Persea major and Cassia ferruginea except Calycorectes acutatus, present bigger diameters, and their individual adults predominate in the forest canopy, increasing the basal area and presenting a density of smaller individuals in the lower diametric classes. In the evaluated interval, only D. cuneatus altered their distribution pattern (Group1-Group2, while the others increased. In Group1 the main dispersion syndrome is anemochory or autochory, while in Group2 the zoochory syndrome predominates. As the fragment presents a small area, elongated form and semi-urban location associated to a regime of intense disturbances, which may have caused a decrease of the fauna disperseres, compromising the recruitment rate.

  20. Tendências temporais no consumo de tabaco nas capitais brasileiras, segundo dados do VIGITEL, 2006 a 2011 Tendencias temporales en el consumo de tabaco en las capitales brasileñas, según datos de VIGITEL, 2006 a 2011 Trends in tobacco consumption from 2006 to 2011 in Brazilian capitals according to the VIGITEL survey

    Directory of Open Access Journals (Sweden)

    Micheline Gomes Campos da Luz

    2013-04-01

    Full Text Available O objetivo foi analisar a tendência de indicadores do tabagismo nas capitais brasileiras, segundo dados do Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (VIGITEL em adultos, 2006 a 2011. Foi utilizado modelo de regressão linear simples (a = 5%. Houve redução da prevalência de fumantes e fumantes pesados entre homens e entre indivíduos com idade de 35 a 54 anos. Para fumantes, também houve redução no estrato de 9 a 11 anos de estudo e regiões Norte e Centro-oeste. Para fumantes pesados, a queda foi na Região Nordeste. A política regulatória adotada pelo Brasil tem sido responsável pelo declínio nas prevalências do tabaco.El objetivo fue analizar la tendencia de indicadores del tabaquismo en las capitales brasileñas, según datos del Sistema de Vigilancia de Factores de Riesgo y Protección para Enfermedades Crónicas por Encuesta Telefónica (VIGITEL en adultos, de 2006 a 2011. Fue utilizado el modelo de regresión lineal simple (a = 5%. Hubo una reducción de la prevalencia de fumadores y fumadores crónicos entre hombres y entre individuos con edad de 35 a 54 años. En los fumadores, también hubo reducción en el estrato de 9 a 11 años de estudio y regiones Norte y Centro-oeste. En los fumadores crónicos, la caída fue en la región Nordeste. La política regulatoria adoptada por Brasil ha sido responsable del declive en las prevalencias del tabaco.The aim of this study was to analyze trends in indicators of smoking in Brazilian State capitals, according to the Surveillance System for Risk and Protective Factors for Chronic Illnesses Using a Telephone Survey (VIGITEL in adults, from 2006 to 2011. A simple linear regression model was used (a = 5%. There was a decrease in the prevalence of smokers and heavy smokers among men and in individuals 35 to 54 years of age. Smoking also decreased among individuals with 9-11 years of schooling and in the Northeast, North, and Central West regions. For heavy smokers, the largest decline was in the Northeast. Brazil's regulatory policy has been responsible for the decline in tobacco prevalence.

  1. Spatial and temporal change characterization of Ceratium furcoides (Dinophyta in the equatorial reservoir Riogrande II, Colombia Caracterização das mudanças espaciais e temporais de Ceratium furcoides (Dinophyta no reservatório equatorial Riogrande II (Entrerríos, Antioquia, Colombia

    Directory of Open Access Journals (Sweden)

    Carolina Bustamante Gil

    2012-06-01

    Full Text Available AIM: To establish the dynamics of C. furcoides in horizontal and temporal scales; and to determine the main ecological factors related to its dynamics. METHODS: Samples were taken in five stations between July 2002 and July 2003. Physical and chemical variables were sampled monthly. Density was evaluated by sampling carried out within the photic zone. Growth rate (r, Turnover rate (T, Generation Time (gt, Niche Width (NW, Taylor's Power Law, and the rate of population change (σs, were used. Canonical Correspondence Analysis (CCA was used too. RESULTS: Total density was 264163.4 cel.L-1, the highest was found in Up Río Chico and the lowest in Dam. The species was more clustered in space than in time. r ranged between 0.29 and 0.3 cel.d-1, gt between 1.8 and 2.4 days, T between 0.55 and 0.42 divisions per day, NW between 0.58 and 0.72, and σs between 0.3 d-1 and 2.3 d-1. The first three components of CCA explained 92.2% of the variation. Density was positively associated with chlorophyll a, NH4+, RWCS and wind direction. Light attenuation, NO3-, SiO2 and O2 were negatively associated with C. furcoides. DISCUSSION: C. furcoides is a S strategist; it increases its density in the warmest periods under eutrophic conditions, low light penetration and high thermal stability; it is independent of the temperature but dependent of changes in rainfall and nutrients, - especially nitrogen - and not soluble phosphorus. Up Río Chico presented the best conditions for the increase of C. furcoides, since this station presented the highest levels of total nitrogen, and the highest relative stability. CONCLUSION: C. furcoides has a very similar ecology to that of C. hirundinella. It is an organism highly variable in temporal and spatial scales, with a wide niche and a clustered distribution. It belongs to the Morpho-funtional Group V and to Lo and L M Assotiations.OBJETIVO: determinar a dinâmica de C. furcoides em escalas horizontal e temporal, e determinar os principais fatores ecológicos relacionados com sua dinâmica. MÉTODOS: As amostras foram coletadas em cinco estações entre julho de 2002 e julho de 2003. As variáveis físicas e químicas foram amostrados mensalmente e a densidade foi estimada a través de coletas realizadas dentro da zona fótica, a taxa de crescimento (r, taxa de rotatividade (T, Tempo de Geração (GT, Largura do nicho (NW, Power Taylor's Law, e a taxa de mudança da população (σs foram utilizados. Análise de Correspondência Canônica (CCA foi usado também. RESULTADOS: A densidade total foi 264.163,4 cel.L-1, a maior foi encontrada em Up Río Chico e a mais baixa na barragem. As espécie foi achada mais agrupada no espaço que no tempo. O valor de r variou entre 0,29 e 0,3 cel.d-1, GT entre 1,8 e 2,4 dias, T entre 0,55 e 0,42 divisões por dia, NW entre 0,58 e 0,72, e σs entre 0,3 e 2,3 d-1. Os três primeiros componentes da CCA explicaram 92,2% da variação. A densidade foi positivamente associado com clorofila a, NH4+, RWCS e direção do vento. A atenuação da luz, NO3-, SiO2 e O2 estiveram associados negativamente com C. furcoides. DISCUSSÃO: C. furcoides é um estrategista tipo S, aumenta sua densidade nos periodos mais quentes perante condições eutróficas, penetração de luz baixa e alta estabilidade térmica. A espécie é independente da temperatura, mas dependente das mudanças na precipitação e nutrientes, - especialmente nitrogênio - não fósforo solúvel. Up Río Chico apresentou as melhores condições para o aumento de C. furcoides, porque esta estação apresentou os mais altos níveis de nitrogênio total e a maior estabilidade relativa. CONCLUSÃO: C. furcoides tem uma ecologia muito semelhante a aquela de C. hirundinella; é um organismo altamente variável nas escalas temporal e espacial, com uma vasta gama de nicho e uma distribuição agregada. Pertence ao Grupo morfo-funcional V e às associações Lo e LM.

  2. Mapping long-term changes in savannah crop productivity in Senegal through trend analysis of time-series of remote sensing data

    DEFF Research Database (Denmark)

    Tøttrup, Christian; Rasmussen, Michael Schultz

    2004-01-01

    Remote sensing, NDVI, trend analysis, environmental change, rainfall, land cover change, Senegal......Remote sensing, NDVI, trend analysis, environmental change, rainfall, land cover change, Senegal...

  3. Dez Anos de Mercosul: Entre a Euforia e o Ceticismo

    Directory of Open Access Journals (Sweden)

    Alcides Costa Vaz

    2011-09-01

    Full Text Available O presente artigo busca realizar um breve balanço dos dez anos desde a assinatura do Tratado de Assunção e delinear as perspectivas para o bloco, face às recentes crises enfrentadas por alguns de seus membros.

  4. Assessing Land Degradation/Recovery in the African Sahel from Long-Term Earth Observation Based Primary Productivity and Precipitation Relationships

    DEFF Research Database (Denmark)

    Fensholt, Rasmus; Rasmussen, Kjeld; Kaspersen, Per Skougaard

    2013-01-01

    useless as a means of normalizing for the impact of annual precipitation on ANPP. By replacing ΣNDVI by a ‘small NDVI integral’, covering only the rainy season and counting only the increase of NDVI relative to some reference level, this problem is solved. Using this approach, RUE is calculated...

  5. Programa "DRL" para controle experimental de pesquisa em julgamento temporal

    OpenAIRE

    Costa,Valéria Catelli Infantozzi da; Paula,Eldereis de; Xavier, Gilberto Fernando; Bueno,José Lino Oliveira

    2007-01-01

    Um programa de computador, o "DRL", foi desenvolvido para controle e coleta de dados em experimentos envolvendo processos temporais associados à atenção e memória. Apresenta-se um breve relato do programa, como configurá-lo para diferentes tipos de experimentos e como acessar os resultados gravados em arquivos.

  6. Características da marcha de um paciente com osteoartrose de quadril com e sem auxílio de bengala Characteristics of cane-assisted and non-assisted gait in a patient with hip osteoarthrosis

    Directory of Open Access Journals (Sweden)

    Susane Graup

    2009-12-01

    Full Text Available O objetivo deste estudo foi comparar características espaciais, temporais e espaço-temporais da marcha de um paciente com osteoartrose de quadril com e sem o auxílio de dispositivo (bengala. O caso é o de um sujeito com osteoartrose de quadril esquerdo de 63 anos, 97,8 kg e 1,76 m. Um sistema de reconstrução tridimensional de movimento foi utilizado para análise da marcha. Foram registrados três ciclos completos da marcha com e sem a utilização da bengala, sendo analisadas variáveis espaciais, temporais e espaço-temporais. Foi feita análise estatística, com nível de significância de 5%. Os principais resultados indicam que o comprimento de passo direito (CPD e esquerdo (CPE, bem como o comprimento total do ciclo, foram superiores com o uso da bengala durante a marcha; o CPE foi significativamente maior do que o CPD quando o sujeito utilizava a bengala; todas as variáveis temporais foram estatisticamente menores com o uso da bengala; a cadência da marcha e a velocidade foram estatisticamente superiores com a bengala. Pode-se concluir que o uso da bengala gerou diferenças significativas no comportamento das variáveis espaciais, temporais e espaço-temporais durante a marcha, melhorando de forma significativa a eficiência do movimento do paciente com osteoatrose de quadril.The purpose of this study was to compare cane-assisted and non-assisted gait temporal, spatial and spatiotemporal features in a patient with hip osteoarthrosis. The patient studied, with left hip osteoarthrosis, was 63 years old and had 97.8 kg and 1.76 m. A three-dimensional analysis system was used for the analysis of gait. Three complete gait cycles with and without cane assistance were recorded, where temporal, spatial and spatiotemporal variables were analysed. Descriptive statistics was used with the level of significance set at 5%. Main results show that left step length (LSL, right step length (RSL and stride length were greater during cane

  7. 中国内陆河流域植被对气候变化的敏感性差异%Sensitivity analyses of different vegetations responding to climate change in inland river basin of China

    Institute of Scientific and Technical Information of China (English)

    HOU Peng; WANG Qiao; CAO Guangzhen; WANG Changzuo; ZHAN Zhiming; YANG Bingfeng

    2012-01-01

    @@%Terrestrial ecosystem and climate system are closely related to each other.Faced with the unavoidable global climate change,it is important to investigate terrestrial ecosystem responding to climate change.In inland river basin of arid and semi-arid regions in China,sensitivity difference of vegetation responding to climate change from 1998 to 2007 was analyzed in this paper.(1) Differences in the global spatio-temporal distribution of vegetation and climate are obvious.The vegetation change shows a slight degradation in this whole region.Degradation is more obvious in densely vegetated areas.Temperature shows a general downward trend with a linear trend coefficient of-1.1467.Conversely,precipitation shows an increasing trend with a linear trend coefficient of 0.3896.(2) About the central tendency response,there are similar features in spatial distribution of both NDVI responding to precipitation (NDVI-P) and NDVI responding to AI (NDVI-AI),which are contrary to that of NDVI responding to air temperature (NDVI-T).Typical sensitivity region of NDVI-P and NDVI-AI mainly covers the northern temperate arid steppe and the northern temperate desert steppe.NDVI-T typical sensitivity region mainly covers the northern temperate desert steppe.(3) Regarding the fluctuation amplitude response,NDVI-T is dominated by the lower sensitivity,typical regions of the warm temperate shrubby,selui-shrubby,bare extreme dry desert,and northern temperate meadow steppe in the east and temperate semi-shrubby,dwarf arboreous desert in the north are high response.(4) Fluctuation amplitude responses between NDVI-P and NDVI-AI present a similar spatial distribution.The typical sensitivity region mainly covers the northern temperate desert steppe.There are various linear change trend responses of NDVI-T,NDVI-P and NDVI-AI.As to the NDVI-T and NDVI-AI,which are influenced by the boundary effect of semi-arid and semi-humid climate zones,there is less correlation of their linear change tendency

  8. Knowledge and practices of nursing teachers about diagnosis of human responses

    OpenAIRE

    Pereira, Jamelson dos Santos; Faculdade de Juazeiro do Norte; Lira, Ana Luisa Brandão de Carvalho; Universidade Federal do Rio Grande do Norte; Oliveira, Ana Márcia de; Instituto Centro de Ensino Tecnológico

    2015-01-01

    Objetivo: Objetivou-se discutir os saberes e práticas dos docentes de um Curso de Graduação em Enfermagem sobre o diagnóstico de respostas humanas. Métodos: Estudo qualitativo, realizado durante os anos de 2010 e 2012, com catorze docentes da graduação em enfermagem, atuantes em uma Faculdade localizada na cidade de Juazeiro do Norte - CE. Os dados foram coletados através de uma entrevista, mediante a assinatura do termo de anuência pelos participantes. Resultados: Os sujeitos concebem o diag...

  9. PARLAMENTO E TRATADOS INTERNACIONAIS: O MODELO CONSTITUCIONAL DO BRASIL

    OpenAIRE

    Rezek, José Francisco; Corte Internacional de Justiça da Haia, Professor do Instituto Rio Branco

    2013-01-01

    É da responsabilidade do poder Executivo, mesmo nas grandes democracias parlamentares, a dinâmica das relações internacionais.   Notadamente o comprometimento externo formal, a expressão do consentimento do Estado em relação aos tratados, é algo que se materializa sempre num ato de governo — a assinatura, a ratificação, a adesão.  Mas é próprio das democracias, ainda que sob o sistema de governo presidencialista, que os pressupostos do consentimento, ditados pelo direito interno, tenham norma...

  10. Roberto Freire: tesão e anarquia

    OpenAIRE

    Simões, Gustavo Ferreira

    2011-01-01

    A emergência da função autor , no século XIX, como salientou Michel Foucault, caracterizava-se pelo investimento em organizar, filiar e homogeinizar a dispersão dos discursos oriunda dos séculos anteriores. A assinatura do autor irrompia como existência que possuía um status distinto daqueles que utilizavam a palavra ordinariamente, ao mesmo tempo, em que era identificada como um possível perigo a ser combatido. Seguindo as sugestões de Foucault, observei a escrita de Rober...

  11. A participação de Fletcher no experimento da gota de óleo de Millikan

    OpenAIRE

    Santos, Carlos Alberto dos

    1995-01-01

    O famoso experimento da gota de óleo, com o qual Millikan obteve valores altamente precisos para a carga do elétron, desempenhou papel importante para a concessão do seu Prêmio Nobel. O primeiro trabalho referente a essa série de medidas teve a assinatura solitária de Millikan, apesar da reconhecida participação do seu estudante Fletcher. A partir de uma nota autobiográfica de Fletcher, fica-se sabendo que ele foi o responsável pela construção do primeiro equipamento para o referido experimen...

  12. Trends in vegetation change under different karst terrain conditions, southwest China

    Science.gov (United States)

    Tong, Xiaowei; Wang, Kelin; Yue, Yuemin; Liao, Chujie

    2013-10-01

    Trends in vegetation change and their relationships with terrain conditions are significant to understand and evaluate the efficiency of ecological engineering implemented in karst regions, Southwest China. This study aimed to identify vegetation change trends in Hechi, Guangxi, China using time-series of SPOT-VGT NDVI data (1999-2010) and DEM. Linear trend analysis was applied to examine NDVI change trends. The results indicated that most of NDVI values had increased during this time period. There were spatial variations in NDVI change trends, which could be partiallly explained by different karst terrain conditions. The areas of most obviously positive trends in NDVI change were found at the elevation of 500-1000m and the relief amplitude between 200 and 500 m. Negative trends in NDVI change were appeared on slopes of south (sunlit) and west (semi-sunlit) aspect and at the elevation of 200 - 500 m, where were mainly due to human activities.

  13. Multi-Temporal Detection of Rice Phenological Stages Using Canopy Spectrum

    Institute of Scientific and Technical Information of China (English)

    WANG Lin; ZHANG Fu-cun; JING Yuan-shu; JIANG Xiao-dong; YANG Shen-bin; HAN Xiao-mei

    2014-01-01

    Information on rice phenology is essential for yield estimation and crop management. To test the ability of remote sensing in detecting multiple phenological stages, paddy rice canopy spectrum was measured by a hand-held radiometer. Normalized difference vegetation index (NDVI) was calculated from spectrum, and the slope of NDVI was obtained as its difference. We evaluated the response of NDVI and its slope to rice growth with a comparison of two late-season rice cultivars. The results showed that NDVI and its slope curves had distinct variation corresponding to rice development and they could be used as cultivar-independent phenological indicators. The dates of flooding and transplanting, tillering, panicle development, heading and flowering, maturity, harvest stages, and even field management practices, could be deduced from these indicators. ‘NDVI ≤ 0’ could be used as a single threshold for the detection of flooding and transplanting. The largest spike in the curve of the NDVI slope indicated the duration of tillering stage. The next spike corresponded to panicle development. The heading and flowering stage was characterized by the maximum NDVI and the change of NDVI slope from positive to negative. At the maturity stage, NDVI decreased continuously, and its slope fluctuated just below zero. When rice grains were completely mature and ready for harvest, NDVI decline was accelerated. At harvest, NDVI slope reached its minimum value. The distinction between heading and maturity stages was obscure, most likely due to NDVI saturation at high biomass. The study might provide references for paddy rice phenology determination through remote sensing images.

  14. Satellite remote sensing of rangelands in Botswana. II - NOAA AVHRR and herbaceous vegetation

    Science.gov (United States)

    Prince, S. D.; Tucker, C. J.

    1986-01-01

    The relation between the normalized difference vegetation index (NDVI) and the herbaceous vegetation in Tamasane, Shakwe, and Masama in eastern Botswana is studied using 1983-1984 AVHRR data. The procedures for Landsat MSS interpolation of ground measurements and the data processing of the AVHRR data are described. The temporal sequence AVHRR global-area coverage (GAC) composite NDVI is examined. The AVHRR GAC composite NDVI and biomass and Landsat MSS interpolations of field measurements are analyzed and compared.

  15. Recurrence Quantification Analysis for Geographical Differences of the Coupling Relationship between NDVI and Climatic Factors%NDVI与气候因子耦合关系及其地域差异的定量递归分析——以云南省纵向岭谷区为例

    Institute of Scientific and Technical Information of China (English)

    李双成; 刘逢媛; 戴尔阜; 吴绍洪

    2008-01-01

    以云南省纵向岭谷区南部西南季风区和东南季风区为例,采用定量递归(recurrence quantification analysis,RQA)和交叉递归图(cross recurrence plots, CRP)方法分析了NDVI和气候因子之间的相互关系.结果表明,云南省纵向岭谷区西南季风区NDVI系列的确定性高于其东南季风区,两区NDVI系列耦合关系的动力学特性介于完全随机系列与含有噪声的确定性系列之间.从整体上看,两区NDVI系列的同步性较差,特别是在1987-1989年和1991-1993年两个时段同步性最低,而且西南季风区NDVI系列的变化滞后于东南季风区.从两个季风区NDVI分别与降水、气温系列耦合关系的CRP指数看,西南季风区NDVI与降水关系的相似性及其延存时间、结构性以及稳定程度均高于东南季风区,NDVI与气温关系与上述趋势大体一致,但各CRP指数在两个气候区的差别更小,说明NDVI与气温相互作用的特征在两区差异较小.

  16. [Kriging analysis of vegetation index depression in peak cluster karst area].

    Science.gov (United States)

    Yang, Qi-Yong; Jiang, Zhong-Cheng; Ma, Zu-Lu; Cao, Jian-Hua; Luo, Wei-Qun; Li, Wen-Jun; Duan, Xiao-Fang

    2012-04-01

    In order to master the spatial variability of the normal different vegetation index (NDVI) of the peak cluster karst area, taking into account the problem of the mountain shadow "missing" information of remote sensing images existing in the karst area, NDVI of the non-shaded area were extracted in Guohua Ecological Experimental Area, in Pingguo County, Guangxi applying image processing software, ENVI. The spatial variability of NDVI was analyzed applying geostatistical method, and the NDVI of the mountain shadow areas was predicted and validated. The results indicated that the NDVI of the study area showed strong spatial variability and spatial autocorrelation resulting from the impact of intrinsic factors, and the range was 300 m. The spatial distribution maps of the NDVI interpolated by Kriging interpolation method showed that the mean of NDVI was 0.196, apparently strip and block. The higher NDVI values distributed in the area where the slope was greater than 25 degrees of the peak cluster area, while the lower values distributed in the area such as foot of the peak cluster and depression, where slope was less than 25 degrees. Kriging method validation results show that interpolation has a very high prediction accuracy and could predict the NDVI of the shadow area, which provides a new idea and method for monitoring and evaluation of the karst rocky desertification.

  17. Monitoring start of season in Alaska with GLOBE, AVHRR, and MODIS data

    Science.gov (United States)

    Robin, Jessica; Dubayah, Ralph; Sparrow, Elena; Levine, Elissa

    2008-03-01

    This work evaluates whether continuity between Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) is achievable for monitoring phenological changes in Alaska. This work also evaluates whether NDVI can detect changes in start of the growing season (SOS) in this region. Six quadratic regression models with NDVI as a function of accumulated growing degree days (AGDD) were developed from 2001 through 2004 AVHRR and MODIS NDVI data sets for urban, mixed, and forested land covers. Model parameters determined NDVI values for start of the observational period as well as peak and length of the growing season. NDVI values for start of the growing season were determined from the model equations and field observations of SOS made by GLOBE students and researchers at University of Alaska Fairbanks. AGDD was computed from daily air temperature. AVHRR and MODIS models were significantly different from one another with differences in the start of the observational season as well as start, peak, and length of the growing season. Furthermore, AGDD for SOS was significantly lower during the 1990s than the 1980s. NDVI values at SOS did not detect this change. There are limitations with using NDVI to monitor phenological changes in these regions because of snow, the large extent of conifers, and clouds, which restrict the composite period. In addition, differing processing and spectral characteristics restrict continuity between AVHRR and MODIS NDVI data sets.

  18. Conhecimento e voluntariedade para participação em pesquisas: um estudo descritivo com participantes de um ensaio clínico

    Directory of Open Access Journals (Sweden)

    Lucas Lobato

    2014-06-01

    Full Text Available O objetivo deste estudo é avaliar o conhecimento sobre as informações do Termo de Consentimento Livre e Esclarecido (TCLE e a voluntariedade de participantes de um ensaio clínico. Trata-se de um estudo quantitativo, descritivo, transversal, realizado em novembro de 2011 com participantes de um ensaio clínico realizado em Americaninhas, no Nordeste de Minas Gerais, Brasil. Amostra por conveniência, com 143 adultos de 18 a 45 anos, de ambos os sexos. Utilizou-se um questionário estruturado, aplicado uma semana após a assinatura do TCLE. A maioria dos participantes do ensaio clínico assinou o TCLE sem o conhecimento suficiente das informações da pesquisa, e sofreu influência em sua decisão de participar do ensaio clínico. Concluímos que a assinatura do TCLE não garante a expressão da autonomia de todos os participantes de pesquisa clínica.

  19. Os Transgênicos na Imprensa: o caso da liberação da soja Roundup Ready

    Directory of Open Access Journals (Sweden)

    Mariana Pereira Barbosa

    2004-12-01

    Full Text Available Os organismos geneticamente modificados necessitam de regulamentação no Brasil. A sua chegada ao mercado de alimentos, ainda que de forma ilegal, tem exposto a variedade de argumentos e interesses que permeiam a sua liberação e comercialização. A assinatura da Medida Provisória 131/03, em setembro de 2003 (BRASIL. Medida..., 2003b, pelo presidente da República Luiz Inácio Lula da Silva, permitiu temporariamente o plantio legal de soja transgênica pelos agricultores. O fato motivou uma cobertura diária e massiva da imprensa gaúcha durante muitas edições. Partindo dos referenciais éticos jornalísticos e do conceito de jornalismo ambiental, o trabalho pretende analisar a cobertura de quatro jornais gaúchos no período que antecedeu a assinatura. O objetivo é levantar quais as fontes e os argumentos que foram evidenciados na cobertura com a intenção de analisar se houve eficiência na informação dos posicionamentos opostos sobre o tema.

  20. INVESTIGANDO OS FATORES QUE INFLUENCIAM A ADOÇÃO DE HDTV NO BRASIL

    Directory of Open Access Journals (Sweden)

    Daniel da Hora Alves Lima

    2012-12-01

    Full Text Available Três anos depois do lançamento da TV digital no Brasil, sua penetração ainda é pequena. O consumidor de conteúdo em alta definição tem sido principalmente assinantes de TV paga, em geral famílias com renda elevada, mas potenciais formadores de opinião. Para identificar estímulos e barreiras à adoção da TV por assinatura em alta definição (HD, quinze potenciais usuários foram entrevistados. Em seguida, um survey foi conduzido em amostra de 348 assinantes de TV paga que não contratavam pacotes HD. Os dados foram tratados por técnicas de data mining e árvore de decisão, identificando-se a relação entre atributos do serviço de HD percebidos e a intenção de contratá-lo. Os resultados sugerem que a disponibilidade de conteúdo em HD, recursos percebidos, renda familiar e a percepção de facilidade de uso da tecnologia têm impacto significativo na intenção de adoção de um serviço por assinatura de HDTV.

  1. Estudo topológico de órbitas periódicas no circuito experimental de Chua

    OpenAIRE

    Dariel Mazzoni Maranhão

    2006-01-01

    Estudamos o comportamento dinâmico de séries temporais experimentais obtidas de um circuito de Chua quando dois parâmetros de controle, $Delta R_1$ e $Delta R_2$, são variados.Investigamos os comportamentos caótico e periódico, analisando as séries temporais ao redor e no interior de duas janelas periódicas presentes no espaço de parâmetros $(Delta R_1,Delta R_2)$ do circuito. Na vizinhança da janela de período três, analisamos como a dinâmica simbólica se altera quando construída em difer...

  2. Algumas considerações sobre cinema e tempo nas periferias do capitalismo flexível

    Directory of Open Access Journals (Sweden)

    Erly Vieira Jr.

    2007-10-01

    Full Text Available Este artigo propõe algumas reflexões acerca das reconfigurações espaço-temporais operadas pelo cinemacontemporâneo, a partir das noções de “sociedade em rede” (Castells, “sociedade de controle” (Deleuzee de concepções temporais da Antiguidade Clássica (cronos, aiôn, kairós, aplicando-as no contexto dasperiferias do “capitalismo flexível”, a partir das experiências urbanas em metrópoles fora do eixo EuropaAmérica do Norte, em especial nos filmes dos diretores Abbas Kiarostami (Irã, Hou Hsiao-Hsien(Taiwan e Wong Kar-Wai (Hong Kong.

  3. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices

    Science.gov (United States)

    Ji, Lei; Peters, Albert J.

    2003-01-01

    The Normalized Difference Vegetation Index (NDVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) has been widely used to monitor moisture-related vegetation condition. The relationship between vegetation vigor and moisture availability, however, is complex and has not been adequately studied with satellite sensor data. To better understand this relationship, an analysis was conducted on time series of monthly NDVI (1989–2000) during the growing season in the north and central U.S. Great Plains. The NDVI was correlated to the Standardized Precipitation Index (SPI), a multiple-time scale meteorological-drought index based on precipitation. The 3-month SPI was found to have the best correlation with the NDVI, indicating lag and cumulative effects of precipitation on vegetation, but the correlation between NDVI and SPI varies significantly between months. The highest correlations occurred during the middle of the growing season, and lower correlations were noted at the beginning and end of the growing season in most of the area. A regression model with seasonal dummy variables reveals that the relationship between the NDVI and SPI is significant in both grasslands and croplands, if this seasonal effect is taken into account. Spatially, the best NDVI–SPI relationship occurred in areas with low soil water-holding capacity. Our most important finding is that NDVI is an effective indicator of vegetation-moisture condition, but seasonal timing should be taken into consideration when monitoring drought with the NDVI.

  4. Relationship of Remote Sensing Normalized Differential Vegetation Index to Anopheles Density and Malaria Incidence Rate

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    To study the relationship of remote sensing normalized differential vegetation index (NDVI) to Anopheles density and malaria incidence rate. Methods Data of monthly average climate, environment, Anopheles density and malaria incidence rate, and remote sensing NDVI were collected from 27 townships of 10 counties in southeastern Yunnan Province from 1984 to 1993. The relationship of remote sensing ecological proxy index, NDVI, to Anopheles density and malaria incidence rate was studied by principal component analysis, factor analysis and grey correlation analysis. Results The correlation matrix showed that NDVI highly correlated with Anopheles density in 4 townships of Mengla, Jinghong, and Yuanjiang counties, but in other 23 townships the relationship was not clear. Principal component and factor analyses showed that remote sensing NDVI was the representative index of the first principal component and the first common factor of Anopheles density evaluation. Grey correlation analysis showed that in rainy season NDVI had a high grey correlation with Anopheles density and malaria incidence rate. The grey correlation analysis showed that in rainy season the grey degree of NDVI correlated with Anopheles. Minimus density was 0.730, and 0.713 with Anopheles sinensis density, and 0.800 with malarial incidence rate. Conclusion Remote sensing NDVI can serve as a sensitive evaluation index of Anopheles density and malaria incidence rate.

  5. Vegetation Changes and the Relationship with Climate Variability in the Upper and Middle Reaches of the Nenjiang River Basin, China

    Science.gov (United States)

    Huang, F.; Wen, D. H.; Wang, P.

    2016-06-01

    To detect changes in vegetation is desirable for modeling and predicting interactions between land surface and atmosphere. Multitemporal series of SPOT VEGETATION NDVI dataset and meteorological data were integrated to interpret vegetation dynamics and the linkage with climate variations in the upper and middle reaches of the Nenjiang River Basin (NRB) from 1999 to 2010 using the correlation analysis and the rescaled range (R/S) analysis. The results demonstrate that annual NDVI increased slightly and 26.02% vegetation coverage of the study area significantly improved. The area of significantly decreased in vegetation cover took up 13.33% of the total land in spring. In autumn, 26.2% of the study area showed a significant vegetation increase. The improved activity of vegetation might reinforce in summer and autumn, while the decreasing tendency in spring might be persistent in the future. The yearly NDVI had significant positive linkages with precipitation and relative humidity. NDVI related significantly and negatively with temperature, sunshine hours and wind velocity, because they may have effects of increasing evapotranspiration and risk of drought and cold damage of vegetation. The variations of annual NDVI were much affected by summer temperature, relative humidity and sunshine duration in autumn and spring wind velocity. Seasonal NDVI decreased in parallel with elevated temperature, but there was no correlation between NDVI and precipitation. Spring temperature, relative humidity in summer and autumn contributed markedly to NDVI variations in the same season. The vegetation improving trend may induce by the warm-wetting climate in recent twelve years.

  6. Analysis of China Vegetation Dynamics Using NOAA-AVHRR Data from 1982 to 2001%利用NOAA-AVHRR数据分析1982-2001年间中国植被的动态变化

    Institute of Scientific and Technical Information of China (English)

    HABIB Aziz Salim; 陈晓玲; 龚健雅; 王海燕; 张俐

    2009-01-01

    The authors derived the normalized difference vegetation index (NDVI) from the NOAA/AVHRR Land dataset, at a spatial resolution of 8km and 15-day intervals, to investigate the vegetation variations in China during the period from 1982 to 2001. Then, GIS is used to examine the relationship between precipitation and the Normalized Difference Vegetation Index (NDVI) in China, and the value of NDVI is taken as a tool for drought monitoring. The results showed that in the study period,China's vegetation cover had tended to increase, compared to the early 1980s; mean annual NDVI increased 3.8%. The agricultural regions (Henan, Hebei, Anhui and Shandong) and the west of China are marked by an increase, while the eastern coastal regions are marked by a decrease. The correlation between monthly NDVI and monthly precipitation/temperature in the period 1982 to 2001 is significantly positive ( R2 =0.80, R2=0.84); indicating the close coupling between climate conditions (precipitation and temperature) and land surface response patterns over China. Examination of NDVI time series reveals two periods: (1) 1982-1989, marked by low values below average NDVI and persistence of drought with a signature large-scale drought during the 1982 and 1989; and (2) 1990-2001, marked by a wetter trend with region-wide high values above average NDVI and a maximum level occurring in 1994 and 1998.

  7. Geographic Distribution and Ecology of Potential Malaria Vectors in the Republic of Korea

    Science.gov (United States)

    2009-05-01

    temperature (maximum, minimum, mean), monthly precipitation, and 19 “ bioclimatic ” layers (representing annual trends, seasonality, and extremeor limiting...33 environmental variables ( bioclimatic , topography and landform, NDVI, tree cover, land cover, and elevation; Table 1). Results The results from the...Importance and Response Curves.Output distributionmodels using bioclimatic , topography and landform, NDVI, tree cover, land cover, and elevation variables

  8. Human Land-Use Practices Lead to Global Long-Term Increases in Photosynthetic Capacity

    Science.gov (United States)

    Mueller, Thomas; Tucker, Compton J.; Dressler, Gunnar; Pinzon, Jorge E.; Leimgruber, Peter; Dubayah, Ralph O.; Hurtt, George C.; Boehning-Gaese, Katrin; Fagan, William F.

    2014-01-01

    Long-term trends in photosynthetic capacity measured with the satellite-derived Normalized Difference Vegetation Index (NDVI) are usually associated with climate change. Human impacts on the global land surface are typically not accounted for. Here, we provide the first global analysis quantifying the effect of the earth's human footprint on NDVI trends. Globally, more than 20% of the variability in NDVI trends was explained by anthropogenic factors such as land use, nitrogen fertilization, and irrigation. Intensely used land classes, such as villages, showed the greatest rates of increase in NDVI, more than twice than those of forests. These findings reveal that factors beyond climate influence global long-term trends in NDVI and suggest that global climate change models and analyses of primary productivity should incorporate land use effects.

  9. Varying boreal forest response to Arctic environmental change at the Firth River, Alaska

    Science.gov (United States)

    Andreu-Hayles, Laia; D'Arrigo, Rosanne; Anchukaitis, Kevin J.; Beck, Pieter S. A.; Frank, David; Goetz, Scott

    2011-12-01

    In the second paragraph of the section '2.3 Meteorological and remote sensing data', the Normalized Difference Vegetation Index (NDVI) data set used was incorrectly referred to as GIMMS-NDVI version 3G with a 0.084° spatial resolution. This should be corrected to GIMMS-NDVI version G with a 0.07° spatial resolution. The correct reference for this data set is: Tucker C J , Pinzon J E, Brown M E, Slayback D A, Pak E W, Mahoney R, Vermote E F and El Saleous N 2005 An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data Int. J. Remote. Sens. 26 4485-98

  10. Human Land-Use Practices Lead to Global Long-Term Increases in Photosynthetic Capacity

    Directory of Open Access Journals (Sweden)

    Thomas Mueller

    2014-06-01

    Full Text Available Long-term trends in photosynthetic capacity measured with the satellite-derived Normalized Difference Vegetation Index (NDVI are usually associated with climate change. Human impacts on the global land surface are typically not accounted for. Here, we provide the first global analysis quantifying the effect of the earth’s human footprint on NDVI trends. Globally, more than 20% of the variability in NDVI trends was explained by anthropogenic factors such as land use, nitrogen fertilization, and irrigation. Intensely used land classes, such as villages, showed the greatest rates of increase in NDVI, more than twice than those of forests. These findings reveal that factors beyond climate influence global long-term trends in NDVI and suggest that global climate change models and analyses of primary productivity should incorporate land use effects.

  11. Climate Change Impacts and Vulnerabilities Assessment on Forest Vegetation Through Time-Series Multisensor Satellite Data

    Science.gov (United States)

    Zoran, Maria; Savastru, Dan; Dida, Adrian

    2016-08-01

    Sustaining forest resources in Romania requires a better understanding of forest ecosystem processes, and how management decisions and climate and anthropogenic change may affect these processes in the future. Spatio- temporal forest vegetation dynamics have been quantified as the total amount of vegetation (mean NDVI) and the seasonal difference (annual NDVI amplitude) by a time series analysis of NDVI LAI satellite images over 2000 - 2015 period for a forest ecosystem placed in the North-Eastern part of Bucharest town, Romania, from MODIS Terra/Aqua, LANDSAT TM/ETM and Sentinel satellite and meteorological data. For investigated test area, considerable NDVI decline was observed for drought events during 2003, 2007 and 2010 years. Under stress conditions, it is evident that environmental factors such as soil type, parent material, and topography are not correlated with NDVI dynamics. EO-based estimates of forest biophysical variables were shown to be similar to predictions derived from forest field inventories.

  12. Analysis on spatio-temporal trends and drivers in vegetation growth during recent decades in Xinjiang, China

    Science.gov (United States)

    Du, Jiaqiang; Shu, Jianmin; Yin, Junqi; Yuan, Xinjie; Jiaerheng, Ahati; Xiong, Shanshan; He, Ping; Liu, Weiling

    2015-06-01

    Vegetation plays an important role in regulating the terrestrial carbon balance and the climate system, and also overwhelmingly dominates the provisioning of ecosystem services. In this study, a non-stationary 1982-2012 AVHRR NDVI3g time series, the newest dataset, were used to evaluate spatio-temporal patterns of seasonal vegetation changes in Xinjiang province of China at regional, biome and pixel scales over progressively longer periods from 18 to 31 years, starting in 1982, and their linkages to climatic factors and human activities were analyzed. At regional scale, the increases were statistically significant for autumn NDVI during fourteen periods, for growing season and summer NDVI during the most periods, and for spring only during the first four periods. The rates of NDVI increase in growing season and all seasons significantly decreased over fourteen periods. At pixel scale, areas with significant browning rapidly increased over fourteen periods for growing season and all seasons, and these areas were mainly concentrated in northern desert of Xinjiang. Vegetation growth in Xinjiang was regulated by both moisture and thermal conditions: the response of NDVI in spring and autumn was more sensitive to thermal factors, such as temperature and potential evapotranspiration, and correlations between NDVI and precipitation and between NDVI and humidity index were stronger in summer and growing season. Extensive use of fertilizers and expanded farmland irrigated area increased vegetation growth for cropland. However, the rapid increase in the proportion of cotton cultivation and use of drip irrigation may reduce spring NDVI in the part of farmlands. Trend analysis during the multiple nested time series may contribute to a better and deep understanding of NDVI dynamic and foreseeing changes in the future. Accordingly, NDVI in Xinjiang will continuously increase at regional scale and the areas showing significant browning will also furthermore grow.

  13. Use of optical sensor for in-season nitrogen management and grain yield prediction in maize

    Directory of Open Access Journals (Sweden)

    Bandhu Raj Baral

    2015-12-01

    Full Text Available Precision agriculture technologies have developed optical sensors which can determine plant’s normalized difference vegetation index (NDVI.To evaluate the relationship between maize grain yield and early season NDVI readings, an experiment was conducted at farm land of National Maize Research Program, Rampur, Chitwan during winter season of 2012. Eight different levels of N 0, 30, 60, 90, 120, 150, 180 and 210 kg N/ha were applied for hybrid maize RML 32 × RML 17 to study grain yield response and NDVI measurement. Periodic NDVI was measured at 10 days interval from 55 days after sowing (DAS to 115 DAS by using Green seeker hand held crop sensor. Periodic NDVI measurement taken at a range of growing degree days (GDD was critical for predicting grain yield potential. Poor exponential relationship existed between NDVI from early reading measured before 208 GDD (55 DAS and grain yield. At the 261GDD (65DAS a strong relationship (R2 = 0.70 was achieved between NDVI and grain yield. Later sensor measurements after 571 GDD (95DAS failed to distinguish variation in green biomass as a result of canopy closure. N level had significantly influenced on NDVI reading, measured grain yield, calculated in season estimated yield (INSEY, predicted yield with added N (YPN, response index (RI and grain N demand. Measuring NDVI reading by GDD (261–571 GDD allow a practical window of opportunity for side dress N applications. This study showed that yield potential in maize could be accurately predicted in season with NDVI measured with the Green Seeker crop sensor.

  14. Studying interactions between climate variability and vegetation dynamic using a phenology based approach

    Science.gov (United States)

    Horion, S.; Cornet, Y.; Erpicum, M.; Tychon, B.

    2013-02-01

    In this paper we investigated if and how a signature of climate control on vegetation growth can be individualized at regional scale using time series of SPOT-VEGETATION NDVI and ECMWF meteorological data. Twelve regions characterized by dominant and stable cropland or grassland covers were selected in Europe and Africa. Our results show that the relationship between NDVI and meteorological parameters is highly complex and significantly vary trough the phenological cycle of the plants. Hence, interactions between vegetation dynamics and climate variability must be studied at a smaller time scale in order to identify properly the limiting factors to vegetation growth. Using NDVI metrics, vegetative phases (from green-up to maximum NDVI) and reproductive phases (from maximum NDVI to maturity) were identified for each region. Cross-correlation analysis revealed that, in most of the cases, the best scores of Pearson's r are obtained when we considered the vegetative phase (from green-up to maximum of NDVI) and the reproductive phase (from maximum of NDVI to maturity) separately. We also showed that climatic constraints identified using yearly proxies of climate and vegetation do not depict correctly or completely the climate control on vegetation development. In that sense the complexity of the climate-vegetation relationship, which is spatially and temporally variable, is well underlined in this study.

  15. Continuous 1985-2012 Landsat monitoring to assess fire effects on meadows in Yosemite National Park, California

    Science.gov (United States)

    Soulard, Christopher E.; Albano, Christine M.; Villarreal, Miguel; Walker, Jessica

    2016-01-01

    To assess how montane meadow vegetation recovered after a wildfire that occurred in Yosemite National Park, CA in 1996, Google Earth Engine image processing was applied to leverage the entire Landsat Thematic Mapper archive from 1985 to 2012. Vegetation greenness (normalized difference vegetation index [NDVI]) was summarized every 16 days across the 28-year Landsat time series for 26 meadows. Disturbance event detection was hindered by the subtle influence of low-severity fire on meadow vegetation. A hard break (August 1996) was identified corresponding to the Ackerson Fire, and monthly composites were used to compare NDVI values and NDVI trends within burned and unburned meadows before, immediately after, and continuously for more than a decade following the fire date. Results indicate that NDVI values were significantly lower at 95% confidence level for burned meadows following the fire date, yet not significantly lower at 95% confidence level in the unburned meadows. Burned meadows continued to exhibit lower monthly NDVI in the dormant season through 2012. Over the entire monitoring period, the negative-trending, dormant season NDVI slopes in the burned meadows were also significantly lower than unburned meadows at 90% confidence level. Lower than average NDVI values and slopes in the dormant season compared to unburned meadows, coupled with photographic evidence, strongly suggest that evergreen vegetation was removed from the periphery of some meadows after the fire. These analyses provide insight into how satellite imagery can be used to monitor low-severity fire effects on meadow vegetation.

  16. Continuous 1985–2012 Landsat Monitoring to Assess Fire Effects on Meadows in Yosemite National Park, California

    Directory of Open Access Journals (Sweden)

    Christopher E. Soulard

    2016-04-01

    Full Text Available To assess how montane meadow vegetation recovered after a wildfire that occurred in Yosemite National Park, CA in 1996, Google Earth Engine image processing was applied to leverage the entire Landsat Thematic Mapper archive from 1985 to 2012. Vegetation greenness (normalized difference vegetation index (NDVI was summarized every 16 days across the 28-year Landsat time series for 26 meadows. Disturbance event detection was hindered by the subtle influence of low-severity fire on meadow vegetation. A hard break (August 1996 was identified corresponding to the Ackerson Fire, and monthly composites were used to compare NDVI values and NDVI trends within burned and unburned meadows before, immediately after, and continuously for more than a decade following the fire date. Results indicate that NDVI values were significantly lower at 95% confidence level for burned meadows following the fire date, yet not significantly lower at 95% confidence level in the unburned meadows. Burned meadows continued to exhibit lower monthly NDVI in the dormant season through 2012. Over the entire monitoring period, the negative-trending, dormant season NDVI slopes in the burned meadows were also significantly lower than unburned meadows at 90% confidence level. Lower than average NDVI values and slopes in the dormant season compared to unburned meadows, coupled with photographic evidence, strongly suggest that evergreen vegetation was removed from the periphery of some meadows after the fire. These analyses provide insight into how satellite imagery can be used to monitor low-severity fire effects on meadow vegetation.

  17. Introducing a rain-adjusted vegetation index (RAVI) for improvement of long-term trend analyses in vegetation dynamics

    Science.gov (United States)

    Wessollek, Christine; Karrasch, Pierre; Osunmadewa, Babatunde

    2015-10-01

    It seems to be obvious that precipitation has a major impact on greening during the rainy season in semi-arid regions. First results1 imply a strong dependence of NDVI on rainfall. Therefore it will be necessary to consider specific rainfall events besides the known ordinary annual cycle. Based on this fundamental idea, the paper will introduce the development of a rain adjusted vegetation index (RAVI). The index is based on the enhancement of the well-known normalized difference vegetation index (NDVI2) by means of TAMSAT rainfall data and includes a 3-step procedure of determining RAVI. Within the first step both time series were analysed over a period of 29 years to find best cross correlation values between TAMSAT rainfall and NDVI signal itself. The results indicate the strongest correlation for a weighted mean rainfall for a period of three months before the corresponding NDVI value. Based on these results different mathematical models (linear, logarithmic, square root, etc.) are tested to find a functional relation between the NDVI value and the 3-months rainfall period before (0.8). Finally, the resulting NDVI-Rain-Model can be used to determine a spatially individual correction factor to transform every NDVI value into an appropriate rain adjusted vegetation index (RAVI).

  18. Recent Change of Vegetation Growth Trend in China

    Science.gov (United States)

    Peng, Shushi; Chen, Anping; Xu, Liang; Cao, Chunxiang; Fang, Jingyun; Myneni, Ranga B.; Pinzon, Jorge E.; Tucker, COmpton J.; Piao, Shilong

    2011-01-01

    Using satellite-derived normalized difference vegetation index (NDVI) data, several previous studies have indicated that vegetation growth significantly increased in most areas of China during the period 1982-99. In this letter, we extended the study period to 2010. We found that at the national scale the growing season (April-October) NDVI significantly increased by 0.0007/yr from 1982 to 2010, but the increasing trend in NDVI over the last decade decreased in comparison to that of the 1982-99 period. The trends in NDVI show significant seasonal and spatial variances. The increasing trend in April and May (AM) NDVI (0.0013/yr is larger than those in June, July and August (JJA) (0.0003/yr) and September and October (SO) (0.0008/yr). This relatively small increasing trend of JJA NDVI during 1982-2010 compared with that during 1982-99 (0.0012/yr) (Piao et al 2003 J. Geophys. Res.-Atmos. 108 4401) implies a change in the JJA vegetation growth trend, which significantly turned from increasing (0.0039/yr) to slightly decreasing (0:0002/yr) in 1988. Regarding the spatial pattern of changes in NDVI, the growing season NDVI increased (over 0.0020/yr) from 1982 to 2010 in southern China, while its change was close to zero in northern China, as a result of a significant changing trend reversal that occurred in the 1990s and early 2000s. In northern China, the growing season NDVI significantly increased before the 1990s as a result of warming and enhanced precipitation, but decreased after the 1990s due to drought stress strengthened by warming and reduced precipitation. Our results also show that the responses of vegetation growth to climate change vary across different seasons and ecosystems.

  19. Investigation of Vegetation Dynamics using Long-Term Normalized Difference Vegetation Index Time-Series

    Directory of Open Access Journals (Sweden)

    Tamara Bellone

    2009-01-01

    Full Text Available Problem statement: The Normalized Difference Vegetation Index (NDVI is the most extensively used satellite-derived index of vegetation health and density. Since climate is one of the most important factors affecting vegetation condition, satellite-derived vegetation indexes have been often used to evaluate climatic and environmental changes at regional and global scale. The proposed study attempted to investigate the temporal vegetation dynamics in the whole Africa using historical NDVI time-series. Approach: For this aim, 15 day maximum value NDVI composites at 8 km spatial resolution produced from the NASA Global Inventory Mapping and Monitoring System (GIMMS had been used. They were derived from data collected daily by NOAA AVHRR satellites. The AVHRR NDVI GIMMS dataset was freely available and gives global coverage over an extensive time period. First of all, the selected NDVI base data had been geometrically pre-processed and organized into a historical database implemented in order to grant their spatial integration. Starting from this archive, monthly and yearly NDVI historical time-series, extended from 1982-2006, had been then developed and analysed on a pixel basis. Several routines hade been developed in IDL (Interactive Data Language programming tool with the purpose of applying suitable statistical analysis techniques to the historical information in the database in order to identify the long-term trend components of generated NDVI time-series and extract vegetation dynamics. Specific tests had been then considered in order to define the validity of results. Results: The existence of clear regional trends of NDVI, both decreasing and increasing had been showed, which helped to highlight areas subject, respectively to reduction or increase in vegetation greenness. Conclusion: As the relationship between the NDVI and vegetation productivity was well established, these estimated long-term trend components may be also, with much more

  20. Proteção e promoção do investimento estrangeiro no Mercosul uma ferramenta para a implementação de um bom clima de investimentos? Protection and promotion of foreign investment in Mercosur a tool to the implementation of a good investment climate?

    Directory of Open Access Journals (Sweden)

    José Augusto Fontoura Costa

    2006-12-01

    Full Text Available A assinatura de tratados bilaterais de investimento por países em desenvolvimento é vista como uma estratégia para competir por capitais estrangeiros escassos. Este artigo discute possíveis padrões cooperativos na América do Sul partindo do conceito de bom clima de investimentos e considerando os acordos argentinos com outros paises em desenvolvimento.The signature of bilateral investment treaties by developing countries is regarded as a strategy to compete for scarce foreign capital. This article discusses the existence of possible cooperative patterns in South America starting from the concept of good investment climate and considering the Argentinean agreements with other developing countries.

  1. Precursores do discurso visual na imprensa caricata Rio-Grandina = Precursors of visual discourse in the press of satirical cartoons of Rio Grande-RS

    Directory of Open Access Journals (Sweden)

    Sandri, Tammie Caruse Faria

    2014-01-01

    Full Text Available Este estudo discute o papel dos autores na introdução de desenhos em jornais, no final do século XIX, quando as publicações impressas se proliferaram no Rio Grande do Sul. Destaco os pioneiros do traço nas manifestações caricaturais publicadas em Rio Grande – RS, tomando como objeto os jornais caricatos O Amolador, O Diabrete, Marui e Bisturi. O intuito é contribuir para a história da mídia visual, dando visibilidade aos precursores das charges, cartuns, caricaturas pessoais, desenhos de humor e histórias em quadrinhos na imprensa rio-grandina. São analisados os nomes dos integrantes das equipes e as assinaturas encontradas nas edições, estabelecendo relações pertinentes

  2. CERTIFICAÇÃO DIGITAL E ARQUIVOLOGIA: benefícios e aplicações

    Directory of Open Access Journals (Sweden)

    Tatiane Rodrigues do Nascimento

    2015-06-01

    Full Text Available A sociedade da informação abriu novos campos e oportunidades, e a informação nas redes digitais ganhou dimensões sem fronteiras, surgindo a necessidade de políticas de segurança para garantir a autenticação, privacidade, autorização e integridade dos dados. A solução encontrada para solucionar esses problemas foi a utilização de um sistema de criptografia. O governo brasileiro criou padrões técnicos para suportar um sistema criptográfico, chamado de Infraestrutura de Chaves Públicas Brasileira (ICP-Brasil, com o objetivo de regulamentar o uso de certificados digitais. Com o surgimento e crescimento intenso desse novo formato de documento, a Arquivologia sentiu necessidade de incorporar essa ferramenta. Se por um lado a assinatura digital confere autenticidade e integridade à informação, por outro os avanços não garantem a sua preservação no longo prazo. O valor legal da autenticidade desse documento está relacionado às assinaturas digitais. Sob a ótica da arquivística e da diplomática, a autenticidade dos documentos não depende apenas da assinatura, mas de um conjunto de elementos. O presente trabalho tem por objetivo analisar o mercado de certificado digital na cidade de Manaus, sob a ótica da Arquivologia, ou seja, da autenticidade e sigilo nos documentos digitais. Metodologicamente, refere-se a uma pesquisa de natureza qualitativa, com caráter exploratório-descritivo, realizada por meio de um estudo de caso e por possuir um objetivo definido. Buscou-se avaliar se as autoridades certificadoras possuem estruturas para garantir a segurança e transação dos documentos digitais na cidade de Manaus-AM. Como resultado, observou-se que o setor financeiro foi o primeiro a utilizar o certificado digital, seguido pelo setor fiscal, que ganhou destaque com a nota fiscal eletrônica, e mais tarde pelo judiciário, com o processo eletrônico, que ao mesmo tempo foi responsável por aumentar o número de advogados

  3. Avaliação da co-infecção por Leishmania em pessoas vivendo com HIV/Aids acompanhadas no Hospital Universitário de Brasília : estudo transversal com ênfase na leishmaniose visceral

    OpenAIRE

    Tamayo, César Omar Carranza

    2009-01-01

    Foi realizado um estudo descritivo transversal com o objetivo de estimar a magnitude da co-infecção Leishmania/HIV em pessoas vivendo com HIV/aids atendidos no Ambulatório de Doenças Infecciosas e Parasitárias do Hospital Universitário de Brasília. Foram incluídos no estudo 163 indivíduos, dos quais, sete apresentavam a síndrome clínica sugestiva de leishmaniose visceral e 156 eram assintomáticos em relação a essa síndrome. Após aceitação e assinatura do termo de consentimento, os pacientes f...

  4. Crítica cinematográfica: considerações do novo milênio

    Directory of Open Access Journals (Sweden)

    Roberto Moura

    2011-01-01

    Full Text Available A crítica cinematográfica no Brasil, um tema momentaneamente em baixa, uma vez que se perdeu momentaneamente a enorme popularidade que ela tinha e tiveram alguns críticos em nossos jornais em tempos não tão distantes. Distinta tanto das matérias informativas e dos anúncios publicados nos jornais como dos artigos teórico-analíticos nas revistas especializadas, a crítica é uma coisa muito específica logo localizada pelo leitor, muitas vezes destacada pela diagramação, carimbada pela assinatura do crítico.

  5. Satellite observations of high northern latitude vegetation productivity changes between 1982 and 2008: ecological variability and regional differences

    Science.gov (United States)

    Beck, Pieter S. A.; Goetz, Scott J.

    2011-12-01

    In the first paragraph of the section '2. Data sets and methods', the Normalized Difference Vegetation Index (NDVI) data set used was incorrectly referred to as GIMMS-NDVI version 3G with a 0.084° spatial resolution. This should be corrected to GIMMS-NDVI version G with a 0.07° spatial resolution. Accordingly, the acknowledgement should state 'We would like to thank ... Jim Tucker and Jorge Pinzon for providing the GIMMS version G data', instead of 'We would like to thank ... Jorge Pinzon for providing the GIMMS 3G data'.

  6. Assessing Biodiversity from Space: an Example from the Western Ghats, India

    Directory of Open Access Journals (Sweden)

    K.N. Ganeshaiah

    2002-12-01

    Full Text Available We demonstrate for the first time the potential use of satellite imagery to characterize areas of high and low species richness of trees in tropical forests. Our studies, conducted in the Biligiri Rangaswamy hills in the Western Ghats, India, show a high positive correlation between species richness and the Normalized Difference Vegetation Index (NDVI, which is an index of green biomass. We discuss the application of NDVI values for biodiversity assessment and monitoring, as well as for conservation planning. The NDVI is a rough measure of green biomass.

  7. XRTPS – EXTENSIBLE REAL-TIME PUBLISH-SUBSCRIBE: MIDDLEWARE MULTICAST PARA TROCA DE DADOS BASEADO EM XML PARA REDES DE TEMPO REAL

    Directory of Open Access Journals (Sweden)

    Jalerson Raposo Ferreira de Lima

    2011-06-01

    Full Text Available Um fator recorrente das redes de escritório é a busca por maior desempenho, ou seja, redes que executem suas tarefas no menor tempo possível. Porém, para redes industriais o desempenho médio não é o fator mais relevante, isso porque o desempenho de um sistema de tempo real está diretamente relacionado com a previsibilidade imposta pelo ambiente. Enquanto as redes de escritório são orientadas a obter o melhor desempenho médio possível, as redes industriais são orientadas a requisitos temporais, dado que o fator de cumprimento das metas temporais é imperativo em muitas aplicações de tempo real, ou seja, o determinismo. O padrão Ethernet é a principal tecnologia de interconexão de redes locais, porém ainda não foi estabelecido como padrão para redes industriais porque o seu método de acesso ao meio, o CSMA/CD, não atende aos requisitos temporais exigidos por esse tipo de rede. Esse trabalho teve como objetivo desenvolver um middleware em Java para troca de dados em redes industriais, denominado Extensible Real-Time Publish Subscribe. Java foi escolhida como a tecnologia de desenvolvimento a fim de garantir a independência de plataforma provida pela Máquina Virtual Java. Essa independência também é provida pelo próprio middleware, uma vez que suas mensagens são formatadas em XML, que por se tratar de um padrão mundial estabelecido pela W3C, pode ser manipulado por diferentes tecnologias.

  8. Information flows in cyberspace – emerging connections Fluxos de informação no ciberespaço – conexões emergentes

    Directory of Open Access Journals (Sweden)

    Geane Carvalho Alzamora

    2008-11-01

    Full Text Available This work analyzes the spatial and temporal specificities of the socio-communicational interactions mediated by contemporary communication devices, starting from the premise that communication media spatially concretize technically mediated temporal relationships, according to the dominant communication logic. Therefore, through varied temporal dynamics, today's communication devices connect the information flows that run through cyberspace. From the standpoint of Peircean semiosis, whose regulating principles suggest the continuous and irreversible unfolding of communicational logic, we discuss how the netlike logic of hypermedia outlines emergent temporalities in cyberspace. Far from signifying a rupture, the netlike logic of hypermedia is seen here as a semiotic evolution which strains the spatial and temporal perspective of the mediatic logic of communication. Este trabalho discute as especificidades espaço-temporais das interações sociocomunicacionais mediadas por dispositivos contemporâneos de comunicação. Parte-se da premissa de que os meios de comunicação concretizam espacialmente relações temporais tecnicamente mediadas, conforme a lógica comunicacional dominante. Assim, os dispositivos contemporâneos de comunicação conectam, em dinâmicas temporais variadas, os fluxos de informação que trafegam pelo ciberespaço. Pelo prisma da semiose peirceana, cujos princípios reguladores sugerem desdobramento contínuo e irreversível das lógicas comunicacionais, discute-se como a lógica reticular da hipermídia delineia conexões emergentes no ciberespaço. Longe de significar rupturas, a lógica reticular da hipermídia é aqui considerada um desdobramento semiósico que tensiona a perspectiva espaço-temporal da lógica midiática de comunicação.

  9. ANALYSIS OF SPECTRAL CHARACTERISTICS AMONG DIFFERENT SENSORS BY USE OF SIMULATED RS IMAGES

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    This research, by use of RS image-simulating method, simulated apparent reflectance images at sensor level and ground-reflectance images of SPOT-HRV,CBERS-CCD,Landsat-TM and NOAA14-AVHRR' s corresponding bands. These images were used to analyze sensor's differences caused by spectral sensitivity and atmospheric impacts. The differences were analyzed on Normalized Difference Vegetation Index(NDVI). The results showed that the differences of sensors' spectral characteristics cause changes of their NDVI and reflectance. When multiple sensors' data are applied to digital analysis, the error should be taken into account. Atmospheric effect makes NDVI smaller, and atn~pheric correction has the tendency of increasing NDVI values. The reflectance and their NDVIs of different sensors can be used to analyze the differences among sensor' s features. The spectral analysis method based on RS simulated images can provide a new way to design the spectral characteristics of new sensors.

  10. Technical Note: Comparing and ranking soil drought indices performance over Europe, through remote-sensing of vegetation

    Directory of Open Access Journals (Sweden)

    E. Peled

    2010-02-01

    Full Text Available In the past years there have been many attempts to produce and improve global soil-moisture datasets and drought indices. However, comparing and validating these various datasets is not straightforward. Here, interannual variations in drought indices are compared to interannual changes in vegetation, as captured by NDVI. By comparing the correlations of the different indices with NDVI we evaluated which drought index describes most realistically the actual changes in vegetation. Strong correlation between NDVI and the drought indices were found in areas that are classified as warm temperate climate with hot or warm dry summers. In these areas we ranked the PDSI, PSDI-SC, SPI3, and NSM indices, based on the interannual correlation with NDVI, and found that NSM outperformed the rest. Using this best performing index, and the ICA (Independent Component Analysis technique, we analyzed the response of vegetation to temperature and soil-moisture stresses over Europe.

  11. Role of MODIS Vegetation Phenology Products in the ForWarn System for Monitoring of Forest Disturbances in the Conterminous United States

    Science.gov (United States)

    Spruce, Joseph P.; Hargrove, William; Norman, Steve; Gasser, Jerry; Smoot, James; Kuper, Philip D,

    2012-01-01

    This presentation discusses MODIS vegetation phenology products used in the ForWarn Early Warning System (EWS) tool for near real time regional forest disturbance detection and surveillance at regional to national scales. The ForWarn EWS is being developed by the USDA Forest Service NASA, ORNL, and USGS to aid federal and state forest health management activities. ForWarn employs multiple historical land surface phenology products that are derived from MODIS MOD13 Normalized Difference Vegetation Index (NDVI) data. The latter is temporally processed into phenology products with the Time Series Product Tool (TSPT) and the Phenological Parameter Estimation Tool (PPET) software produced at NASA Stennis Space Center. TSPT is used to effectively noise reduce, fuse, and void interpolate MODIS NDVI data. PPET employs TSPT-processed NDVI time series data as an input, outputting multiple vegetation phenology products at a 232 meter resolution for 2000 to 2011, including NDVI magnitude and day of year products for seven key points along the growing season (peak of growing season and the minima, 20%, and 80% of the peak NDVI for both the left and right side of growing season), cumulative NDVI integral products for the most active part of the growing season and sequentially across the growing season at 8 day intervals, and maximum value NDVI products composited at 24 day intervals in which each product date has 8 days of overlap between the previous and following product dates. MODIS NDVI phenology products are also used to compute nationwide NRT forest change products refreshed every 8 days. These include percent change in forest NDVI products that compare the current NDVI from USGS eMODIS products to historical MODIS MOD13 NDVI. For each date, three forest change products are produced using three different maximum value NDVI baselines (from the previous year, three previous years, and all previous years). All change products are output with a rainbow color table in which

  12. AVHRR Composites = Advanced Very High Resolution Radiometer U.S. Alaska: 1989 - Present

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Normalized Difference Vegetation Index (NDVI) Composites are produced from multiple Advanced Very High Resolution Radiometer (AVHRR) daily observations that have...

  13. Drought footprint on European ecosystems between 1999 and 2010 assessed by remotely sensed vegetation phenology and productivity

    DEFF Research Database (Denmark)

    Ivits, Eva; Horion, Stéphanie Marie Anne F; Fensholt, Rasmus

    2014-01-01

    bioclimatic zones. The Standardized Precipitation and Evapotranspiration Index (SPEI) was used as drought indicator whereas changes in growing season length and vegetation productivity were assessed using remote sensing time-series of Normalized Difference Vegetation Index (NDVI). Drought spatio...

  14. Investigation on the Patterns of Global Vegetation Change Using a Satellite-Sensed Vegetation Index

    Directory of Open Access Journals (Sweden)

    Ainong Li

    2010-06-01

    Full Text Available The pattern of vegetation change in response to global change still remains a controversial issue. A Normalized Difference Vegetation Index (NDVI dataset compiled by the Global Inventory Modeling and Mapping Studies (GIMMS was used for analysis. For the period 1982–2006, GIMMS-NDVI analysis indicated that monthly NDVI changes show homogenous trends in middle and high latitude areas in the northern hemisphere and within, or near, the Tropic of Cancer and Capricorn; with obvious spatio-temporal heterogeneity on a global scale over the past two decades. The former areas featured increasing vegetation activity during growth seasons, and the latter areas experienced an even greater amplitude in places where precipitation is adequate. The discussion suggests that one should be cautious of using the NDVI time-series to analyze local vegetation dynamics because of its coarse resolution and uncertainties.

  15. Hurricane Effects on Mangrove Canopies Observed from MODIS and SPOT Imagery

    CERN Document Server

    Parenti, Michael

    2014-01-01

    The effects of four hurricanes on protected mangroves in southwest Florida (Katrina and Wilma) and the Yucatan Peninsula (Emily and Dean) were assessed using paired sets of 20m multispectral SPOT and 16-day 500m MODIS images. The normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were used to assess possible damage to and recovery of mangrove canopies associated with each storm event. The results revealed decreases in the NDVI and EVI of mangrove canopies consistent with storm effects, although the effects in South Florida and Sian Ka'an were highly variable. Hurricane Wilma produced a large decrease in NDVI and EVI although values recovered within a year, suggesting resilience to this storm. Rainfall associated with Hurricane Emily apparently increased mangrove photosynthetic activity owing to the location of landfall outside the study area, the small size of the wind field and the apparent lack of storm surge. MODIS NDVI time series revealed pronounced seasonality in mangrove ...

  16. Assessing Sahelian vegetation and stress from seasonal time series of polar orbiting and geostationary satellite imagery

    DEFF Research Database (Denmark)

    Olsen, Jørgen Lundegaard

    index (NDVI), which combines red and near infrared (NIR) spectral regions. From NDVI data a greening of the Sahel have been identified since the 80s and attributed to increasing trends in annual rainfall for large parts of the region. One part of this thesis analyses time series of parameterized MODIS...... that the varying NPP/NDVI relationships, combined with the large increase in livestock of the Sahel in recent decades, means that the greening of the Sahel cannot uncritically be interpreted as a positive trend in vegetation productivity due to increasing rainfall. It can also represent grazing induced changes...... in species composition which covers neutral or even decreasing trends in biomass production. For monitoring vegetation status on a shorter time scale in the Sahel, the NDVI may not be the most appropriate index. From previous research it has been suggested that the Shortwave infrared (SWIR) spectral region...

  17. MOD13Q1

    Data.gov (United States)

    U.S. Environmental Protection Agency — Normalized Difference Vegetation Index (NDVI). This dataset is associated with the following publication: Shao, Y., R. Lunetta , B. Wheeler, J. Iiames , and J....

  18. Role of MODIS Vegetation Phenology Products in the ForWarn System for Monitoring of Forest Disturbances in the Conterminous United States

    Science.gov (United States)

    Spruce, J.; Hargrove, W. W.; Norman, S.; Gasser, J.; Smoot, J.; Kuper, P.

    2012-12-01

    This presentation discusses MODIS vegetation phenology products used in the ForWarn Early Warning System (EWS) tool for near real time regional forest disturbance detection and surveillance at regional to national scales. The ForWarn EWS is being developed by the USDA Forest Service NASA, ORNL, and USGS to aid federal and state forest health management activities. ForWarn employs multiple historical land surface phenology products that are derived from MODIS MOD13 Normalized Difference Vegetation Index (NDVI) data. The latter is temporally processed into phenology products with the Time Series Product Tool (TSPT) and the Phenological Parameter Estimation Tool (PPET) software produced at NASA Stennis Space Center. TSPT is used to effectively noise reduce, fuse, and void interpolate MODIS NDVI data. PPET employs TSPT-processed NDVI time series data as an input, outputting multiple vegetation phenology products at a 232 meter resolution for 2000 to 2011, including NDVI magnitude and day of year products for seven key points along the growing season (peak of growing season and the minima, 20%, and 80% of the peak NDVI for both the left and right side of growing season), cumulative NDVI integral products for the most active part of the growing season and sequentially across the growing season at 8 day intervals, and maximum value NDVI products composited at 24 day intervals in which each product date has 8 days of overlap between the previous and following product dates. MODIS NDVI phenology products are also used to compute nationwide near real time forest change products every 8 days. These include percent change in forest NDVI products that compare the current NDVI from USGS eMODIS products to historical MODIS MOD13 NDVI. For each date, three forest change products are produced using three different maximum value NDVI baselines (from the previous year, three previous years, and all previous years). All change products are output with a rainbow color table in which

  19. Large and Small-Scale Cropland Classification on the Foothills of Mount Kenya Based on SPOT-5 Take-5 Data Time Series

    Science.gov (United States)

    Eckert, Sandra

    2016-08-01

    The SPOT-5 Take 5 campaign provided SPOT time series data of an unprecedented spatial and temporal resolution. We analysed 29 scenes acquired between May and September 2015 of a semi-arid region in the foothills of Mount Kenya, with two aims: first, to distinguish rainfed from irrigated cropland and cropland from natural vegetation covers, which show similar reflectance patterns; and second, to identify individual crop types. We tested several input data sets in different combinations: the spectral bands and the normalized difference vegetation index (NDVI) time series, principal components of NDVI time series, and selected NDVI time series statistics. For the classification we used random forests (RF). In the test differentiating rainfed cropland, irrigated cropland, and natural vegetation covers, the best classification accuracies were achieved using spectral bands. For the differentiation of crop types, we analysed the phenology of selected crop types based on NDVI time series. First results are promising.

  20. Development of an unmanned agricultural robotics system for measuring crop conditions for precision aerial application

    Science.gov (United States)

    An Unmanned Agricultural Robotics System (UARS) is acquired, rebuilt with desired hardware, and operated in both classrooms and field. The UARS includes crop height sensor, crop canopy analyzer, normalized difference vegetative index (NDVI) sensor, multispectral camera, and hyperspectral radiometer...

  1. Assessing Land Degradation/Recovery in the African Sahel from Long-Term Earth Observation Based Primary Productivity and Precipitation Relationships

    DEFF Research Database (Denmark)

    Fensholt, Rasmus; Rasmussen, Kjeld; Kaspersen, Per Skougaard;

    2013-01-01

    be achieved by use of Earth Observation (EO) data. This paper demonstrates that the use of the standard EO-based proxy for ANPP, summed normalized difference vegetation index (NDVI) (National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) Global Inventory...... useless as a means of normalizing for the impact of annual precipitation on ANPP. By replacing ΣNDVI by a ‘small NDVI integral’, covering only the rainy season and counting only the increase of NDVI relative to some reference level, this problem is solved. Using this approach, RUE is calculated...... for the period 1982–2010. The result is that positive RUE-trends dominate in most of the Sahel, indicating that non-precipitation related land degradation is not a widespread phenomenon. Furthermore, it is argued that two preconditions need to be fulfilled in order to obtain meaningful results from the RUE...

  2. Interannual Variability in Dry Mixed-Grass Prairie Yield: A Comparison of MODIS, SPOT, and Field Measurements

    Directory of Open Access Journals (Sweden)

    Donald C. Wehlage

    2016-10-01

    Full Text Available Remote sensing is often used to assess rangeland condition and biophysical parameters across large areas. In particular, the relationship between the Normalized Difference Vegetation Index (NDVI and above-ground biomass can be used to assess rangeland primary productivity (seasonal carbon gain or above-ground biomass “yield”. We evaluated the NDVI–yield relationship for a southern Alberta prairie rangeland, using seasonal trends in NDVI and biomass during the 2009 and 2010 growing seasons, two years with contrasting rainfall regimes. The study compared harvested biomass and NDVI from field spectrometry to NDVI from three satellite platforms: the Aqua and Terra Moderate Resolution Imaging Spectroradiometer (MODIS and Système Pour l’Observation de la Terre (SPOT 4 and 5. Correlations between ground spectrometry and harvested biomass were also examined for each growing season. The contrasting precipitation patterns were easily captured with satellite NDVI, field NDVI and green biomass measurements. NDVI provided a proxy measure for green plant biomass, and was linearly related to the log of standing green biomass. NDVI phenology clearly detected the green biomass increase at the beginning of each growing season and the subsequent decrease in green biomass at the end of each growing season due to senescence. NDVI–biomass regressions evolved over each growing season due to end-of-season senescence and carryover of dead biomass to the following year. Consequently, mid-summer measurements yielded the strongest correlation (R2 = 0.97 between NDVI and green biomass, particularly when the data were spatially aggregated to better match the satellite sampling scale. Of the three satellite platforms (MODIS Aqua, MODIS Terra, and SPOT, Terra yielded the best agreement with ground-measured NDVI, and SPOT yielded the weakest relationship. When used properly, NDVI from satellite remote sensing can accurately estimate peak-season productivity and

  3. Improving Post-Hurricane Katrina Forest Management with MODIS Time Series Products

    Science.gov (United States)

    Lewis, Mark David; Spruce, Joseph; Evans, David; Anderson, Daniel

    2012-01-01

    Hurricane damage to forests can be severe, causing millions of dollars of timber damage and loss. To help mitigate loss, state agencies require information on location, intensity, and extent of damaged forests. NASA's MODerate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time series data products offers a potential means for state agencies to monitor hurricane-induced forest damage and recovery across a broad region. In response, a project was conducted to produce and assess 250 meter forest disturbance and recovery maps for areas in southern Mississippi impacted by Hurricane Katrina. The products and capabilities from the project were compiled to aid work of the Mississippi Institute for Forest Inventory (MIFI). A series of NDVI change detection products were computed to assess hurricane induced damage and recovery. Hurricane-induced forest damage maps were derived by computing percent change between MODIS MOD13 16-day composited NDVI pre-hurricane "baseline" products (2003 and 2004) and post-hurricane NDVI products (2005). Recovery products were then computed in which post storm 2006, 2007, 2008 and 2009 NDVI data was each singularly compared to the historical baseline NDVI. All percent NDVI change considered the 16-day composite period of August 29 to September 13 for each year in the study. This provided percent change in the maximum NDVI for the 2 week period just after the hurricane event and for each subsequent anniversary through 2009, resulting in forest disturbance products for 2005 and recovery products for the following 4 years. These disturbance and recovery products were produced for the Mississippi Institute for Forest Inventory's (MIFI) Southeast Inventory District and also for the entire hurricane impact zone. MIFI forest inventory products were used as ground truth information for the project. Each NDVI percent change product was classified into 6 categories of forest disturbance intensity. Stand age

  4. Análise quantitativa da proliferação celular no epitélio seminífero humano

    OpenAIRE

    Graça, Maria Inês Pinho dos Santos

    2009-01-01

    Apesar de décadas de investigação básica na espermatogénese humana, pouco se sabe acerca da proliferação e diferenciação das células germinais humanas em termos quantitativos. Com este trabalho pretendeu-se estudar quantitativamente os efeitos temporais e específicos de cada estadio celular, da Hormona Foliculo Estimulante (FSH) e da testosterona (T) na capacidade proliferativa do epitélio seminífero humano normal sob condições de cultura de órgão. Para tal, fragmentos de túbul...

  5. O tempo e a anestesia obstétrica: da cosmologia caótica à cronobiologia El tiempo y la anestesia obstétrica: de la cosmología caótica a la cronobiología Time and obstetric anesthesia: from chaotic cosmology to chronobiology

    OpenAIRE

    Nilton Bezerra do Vale; Lúcio Flávio Bezerra do Vale; José Rômulo Cruz

    2009-01-01

    JUSTIFICATIVA E OBJETIVOS: Ciclos temporais (claro/escuro; nascer/morrer, etc.) ao lado de condições ambientais (sincronizadores) influenciam a fisiologia do parto em função da existência de relógios endógenos (osciladores) que interagem com pistas sociais diuturnas. Nesta revisão foram ordenados os parâmetros anestésico-obstétricos cíclicos mais importantes no atendimento à parturiente. CONTEÚDO: Análise cronobiológica dos principais eventos da fisiopatologia obstétrica da Mulier sapiens: I)...

  6. A capital federal nos altiplanos de Goiás - medicina, geografia e política nas comissões de estudos e localização das décadas de 1940 e 1950

    Directory of Open Access Journals (Sweden)

    Tamara Rangel

    2011-06-01

    Full Text Available O tema da localização da sede do governo federal no Brasil tem motivado estudos que analisam os diferentes marcos temporais da história da transferência da capital para o Planalto Central. Neste artigo, discutimos a importância que argumentos oriundos da medicina e da geopolítica, aliados a interesses regionais, tiveram nas comissões organizadas nas décadas de 1940 e 1950 pelo governo federal, as quais tinham como objetivo escolher o lugar mais adequado para fixação do novo centro político-administrativo do país.

  7. O sono como ativador do eletrencefalograma nos pacientes epilépticos The sleep as an activator on epileptic patient's electroencephalogram

    Directory of Open Access Journals (Sweden)

    Rosa Helena Longo

    1973-09-01

    Full Text Available Visando ao estudo da ação do sono como ativador do eletrencefalograma em pacientes epilépticos, foram estudados 1.868 pacientes com síndromes convulsivas (572 com crises generalizadas, 121 com crises temporais não psicomostras, 118 com crises psicomotoras, 410 com crises focais não temporais, 314 com crises noturnas, 165 com crises febris, 168 com crises convulsivas associadas a retardo psicomotor. Em todos os pacientes foram feitos eletrencefalogramas em vigília (repouso e hiperpnéia e durante o sono (fase lenta sendo os achados comparados. Em nosso material não encontramos diferença significativa de resposta entre o sono espontâneo e o medicamentoso. Na maioria de nossos pacientes o traçado realizado durante o sono confirmou os achados registrados em vigília. A ação ativadora do sono foi evidenciada em um número relativamente pequeno de casos, tendo atingido o seu máximo no grupo de pacientes com crises psicomotoras (26%. Nas crises generalizadas, temporais não psicomotoras, focais não temporais e noturnas o sono funcionou mais como desativador do que como ativador das anormalidades registradas em vigília.In order to study the influence of sleep on the electroencephalograms of epileptic patients the tracings obtained of 1.868 such patients were analised (572 generalized seizures; 121 non-psychomotor temporal; 118 psychomotor; 410 non-temporal focal; 314 noctural seizures; 165 febrile seizures; 168 convulsive seizures associated with psychomotor retard. The electroencephalograms were made with the patients awake (rest and hyperpnea and sleeping (slow phase, the findings being compared. There was not found any significant difference between the EEG tracings obtained during spontaneous sleep and medically induced sleep. In the majority of the cases the records obtained while the patients were asleep merely confirmed the ones made while the patients were awake. The activator action of sleep appeared only in small number of the

  8. Composição e estrutura da comunidade de aves na paisagem fragmentada do Pontal do Paranapanema

    OpenAIRE

    2007-01-01

    Este estudo mostrou os efeitos da fragmentação sobre a avifauna considerando diferentes aspectos, levando em conta escalas espaciais e temporais distintas e os diferentes elementos que compõem uma paisagem fragmentada. Verificamos a influência das características intrínsecas dos fragmentos, da configuração das paisagens e da variação geográfica sobre as respostas das espécies à fragmentação. Igualmente importante está a variação temporal; modificações da estrutura da paisagem passada têm refl...

  9. O tempo e a anestesia obstétrica: da cosmologia caótica à cronobiologia

    OpenAIRE

    Vale,Nilton Bezerra do; Vale,Lúcio Flávio Bezerra do; Cruz,José Rômulo

    2009-01-01

    JUSTIFICATIVA E OBJETIVOS: Ciclos temporais (claro/escuro; nascer/morrer, etc.) ao lado de condições ambientais (sincronizadores) influenciam a fisiologia do parto em função da existência de relógios endógenos (osciladores) que interagem com pistas sociais diuturnas. Nesta revisão foram ordenados os parâmetros anestésico-obstétricos cíclicos mais importantes no atendimento à parturiente. CONTEÚDO: Análise cronobiológica dos principais eventos da fisiopatologia obstétrica da Mulier sapiens: I)...

  10. Programa "DRL" para controle experimental de pesquisa em julgamento temporal "DRL" software for experiment control of temporal judgment research

    Directory of Open Access Journals (Sweden)

    Valéria Catelli Infantozzi da Costa

    2007-01-01

    Full Text Available Um programa de computador, o "DRL", foi desenvolvido para controle e coleta de dados em experimentos envolvendo processos temporais associados à atenção e memória. Apresenta-se um breve relato do programa, como configurá-lo para diferentes tipos de experimentos e como acessar os resultados gravados em arquivos."DRL" is a software that was developed for controlling and collecting data for experiments involving temporal judgment related to attention and memory. This paper presents its applications, how to configure it for different experiments and how to access the recorded data.

  11. Comunidade de aranhas em capões de mata das sub-regiões Miranda e Abobral no Pantanal Sul-Mato-grossense

    OpenAIRE

    Josue Raizer.

    2004-01-01

    Resumo: No presente estudo, a estrutura da comunidade de aranhas em formações de mata, conhecidas regionalmente como capões, no Pantanal sul-mato-grossense das sub-regiões Miranda e Abobral, foi caracterizada e avaliada quanto aos efeitos ambientais relacionados a variações espaciais e temporais. A comunidade de aranhas foi registrada através de cinco métodos de coleta (coleta manual noturna, guarda-chuva entomológico, armadilha de queda, eclector de solo e eclector de tronco). As coletas for...

  12. Trends in Global Vegetation Activity and Climatic Drivers Indicate a Decoupled Response to Climate Change.

    Directory of Open Access Journals (Sweden)

    Antonius G T Schut

    Full Text Available Detailed understanding of a possible decoupling between climatic drivers of plant productivity and the response of ecosystems vegetation is required. We compared trends in six NDVI metrics (1982-2010 derived from the GIMMS3g dataset with modelled biomass productivity and assessed uncertainty in trend estimates. Annual total biomass weight (TBW was calculated with the LINPAC model. Trends were determined using a simple linear regression, a Thiel-Sen medium slope and a piecewise regression (PWR with two segments. Values of NDVI metrics were related to Net Primary Production (MODIS-NPP and TBW per biome and land-use type. The simple linear and Thiel-Sen trends did not differ much whereas PWR increased the fraction of explained variation, depending on the NDVI metric considered. A positive trend in TBW indicating more favorable climatic conditions was found for 24% of pixels on land, and for 5% a negative trend. A decoupled trend, indicating positive TBW trends and monotonic negative or segmented and negative NDVI trends, was observed for 17-36% of all productive areas depending on the NDVI metric used. For only 1-2% of all pixels in productive areas, a diverging and greening trend was found despite a strong negative trend in TBW. The choice of NDVI metric used strongly affected outcomes on regional scales and differences in the fraction of explained variation in MODIS-NPP between biomes were large, and a combination of NDVI metrics is recommended for global studies. We have found an increasing difference between trends in climatic drivers and observed NDVI for large parts of the globe. Our findings suggest that future scenarios must consider impacts of constraints on plant growth such as extremes in weather and nutrient availability to predict changes in NPP and CO2 sequestration capacity.

  13. Analysis of vineyard differential management zones and relation to vine development, grape maturity and quality

    OpenAIRE

    Martínez Casasnovas, José Antonio; Agelet Fernández, J.; Arnó Satorra, Jaume; Ramos Martín, Ma. C. (Ma. Concepción)

    2012-01-01

    The objective of research was to analyse the potential of Normalized Difference Vegetation Index (NDVI) maps from satellite images, yield maps and grapevine fertility and load variables to delineate zones with different wine grape properties for selective harvesting. Two vineyard blocks located in NE Spain (Cabernet Sauvignon and Syrah) were analysed. The NDVI was computed from a Quickbird-2 multi-spectral image at veraison (July 2005). Yield data was acquired by means of a yield monitor duri...

  14. Portable Instrument for Normalized Difference Vegetation Index

    Institute of Scientific and Technical Information of China (English)

    ZHOU Han-chang; ZHAO Chun-jiang; XUE Xu-zhang; HAO Xiao-jian

    2004-01-01

    By using four specially designed narrow bandpass filters and photodetectors in the instrument, the incident and reflected radiances of sun light on the vegetation are optically sensed, at the red and near infrared bands, then the normalized difference vegetation index(NDVI) is processed by a microprocessor. Compared with conventional spectrometer measuring method of NDVI, the instrument is easy to be used, compact, light and low-cost.

  15. Responses of Grassland and Forest to Temperature and Precipitation Changes in Northeast China

    Institute of Scientific and Technical Information of China (English)

    PENG Jing; DONG Wenjie; YUAN Wenping; ZHANG Yong

    2012-01-01

    Using the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation growth,we explored the characteristics and differences in the response to drought of five vegetation biomes in Northeast China,including typical steppe,desert steppe,meadow steppe,deciduous coniferous forest and deciduous broad-leaved forest during the period 1982 2009.The results indicate that growing season precipitation may be the primary vegetation growth-limiting factor in grasslands.More than 70% of the temporal variations in NDVI can be explained by the amount of precipitation during the growing season in typical and desert steppes.During the same period,the mean temperature in the growing season could explain nearly 43% of the variations in the mean growing season NDVI and is therefore a dominant growth-limiting factor for forest ecosystems.Therefore,the NDVI trends differ largely due to differences in the vegetation growth-limiting factors of the different vegetation biomes.The NDVI responses to droughts vary in magnitude and direction and depend on the drought-affected areas of the five vegetation types.Specifically,the changes in NDVI are consistent with the variations in precipitation for grassland ecosystems.A lack of precipitation resulted in decreases in NDVI,thereby reducing vegetation growth in these regions.Conversely,increasing precipitation decreased the NDVI of forest ecosystems.The results also suggest that grasslands under arid and semi-arid environments may be more sensitive to drought than forests under humid environments.Among grassland ecosystems,desert steppe was most sensitive to drought,followed by typical steppe; meadow steppe was the least sensitive.

  16. Impacts of Sloping Land Conversion Program on the vegetation in loess hilly and gully area of northern Shaanxi

    Institute of Scientific and Technical Information of China (English)

    Ma Junfei; Lu Changhe; Yu Bohua

    2009-01-01

    Aiming at alleviating the serious soil erosion,the Chinese government initiated the Sloping Land Con.version Program (SLCP) in 1999.Now,after 8 years of project implementation,the ecological recovery effects of the SLCP have become the hot issue of academic circle.This paper,taking the loess hdl and gully area of northern Shaanxi as an example,presents a methodology for assessing the vegetation restoration effect of SLCP with normalized difference vegetation index (NDVI).The key components include calculation of the Growing Season NDVI (GSNDVI),and estimation of the NVDI change induced by climate and SLCP,re,wectively.Based on the method,the NDVI change between 2000 and 2006 was obtained using the GSNDVI that excluded the noise from snow and ice.Afier the part of total NDVI change caused by climate variation was estimated using empiric formulae,we obtained the part induced by human factors,i.e.the SLCP.The human induced part of NDVI change was considered as an approximation indicating the effect of the SLCP on the vegetation.Finally,we analyzed the NDVI change characters of the whole study area,different slope lands and different land use types by spatial statistics method Results show that the vegetation condition is significantly improved by the SLCP,particularly land types that directly involved in the SLCP,such as steeply slope farmlands,degraded grasslands,etc.

  17. Increasing terrestrial vegetation activity in China, 1982-1999

    Institute of Scientific and Technical Information of China (English)

    FANG Jingyun; PIAO Shilong; HE Jinsheng; MA Wenhong

    2004-01-01

    Variations in vegetation activity during the past 18 years in China were investigated using the normalized difference vegetation index (NDVI) derived from the 3rd generation time series dataset of NOAA-AVHRR from 1982 to 1999. In order to eliminate the effects of non-vegetation factors, we characterized areas with NDVI < 0.1 as "sparsely vegetated areas" and areas with NDVI ≥ 0.1 as "vegetated areas". The results showed that increasing NDVI trends were evident, to varying extents, in almost all regions in China in the 18 years, indicating that vegetation activity has been rising in recent years in these regions. Compared to the early 1980s, the vegetated area increased by 3.5% by the late 1990s, while the sparsely vegetated area declined by 18.1% in the same period. The national total mean annual NDVI increased by 7.4% during the study period. Extended growing seasons and increased plant growth rates accounted for the bulk of these increases, while increases in temperature and summer rainfall, and strengthening agricultural activity were also likely important factors. NDVI changes in China exhibited relatively large spatial heterogeneity; the eastern coastal regions experienced declining or indiscernibly rising trends, while agricultural regions and western China experienced marked increases. Such a pattern was due primarily to urbanization, agricultural activity, regional climate characteristics, and different vegetation responses to regional climate changes.

  18. Global GPP based on Plant Functional Types

    Science.gov (United States)

    Veroustraete, Frank; Balzarolo, Manuela

    2016-04-01

    Vegetation variables like Gross Primary productivity (GPP) and the Normalized Difference Vegetation Index (NDVI) are key variables in vegetation carbon exchange studies. Field measurements of the NDVI are time consuming due to landscape heterogeneity across time. Typically a sampling protocol adopted during field campaigns is based on the VALERI protocol in that case toe estimate LAI. Field campaign GPP or NDVI measurements can be scaled up to using in-situ FLUXNET radiation raster maps. Regression analysis can then be applied to construct transfer functions for the determination of GPP raster maps raster imagery from Normalized Difference Vegetation Index (NDVI) raster maps derived from in-situ FLUXNET radiation raster maps. Subsequently, in the VALERI approach the scaling up of raster maps is performed by aggregation of high resolution in-situ FLUXNET radiation raster maps data into high resolution raster maps and subsequently aggregating these to 1x1 km MODIS NDVI raster maps by calculating average NDVI values for the low resolution data. The up-scaled 1x1 km pixels are then used to validate the MODIS GPP and NVI products. Hence up scaling based on in-situ FLUXNET radiation measurements are not a luxury for large and heterogeneous sites. Therefore this paper tackles the problem of up scaling using in-situ FLUXNET radiation measurements. Key Words: FLUXNET, GPP, Plant Functional Types, Up-scaling

  19. New evidence for effects of land cover in China on summer climate

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    The effects of land cover in different regions of China on summer climate are studied by lagged correlation analysis using NOAA/AVHRR normalized difference vegetation index (NDVI) data for the period of 1981-1994 and temperature,precipitation data of 160 meteorological stations in China. The results show that the correlation coefficients between NDVI in previous season and summer precipitation are positive in most regions of China, and the lagged correlations showa significant difference between regions. The stronger correlations between NDVI in previous winter and precipitation in summer occur in Central China and the Tibetan Plateau, and the correlations between spring NDVI and summer precipitation in the eastern arid/semi- arid region and the Tibetan Plateau are more significant. Vegetation changes have more sensitive feedback effects on climate in thethree regions (eastern arid/semi-arid region, Central China and Tibetan Plateau). The lagged correlations between NDVI and precipitation suggest that, on interannual time scales, land cover affects summer precipitation to a certain extent.The correlations between NDVI in previous season and summer temperature show more complex, and the lagged responses of temperature to vegetation are weaker compared with precipitation, and they are possibly related to the global warming which partly cover up the correlations.

  20. Elevation-Dependent Vegetation Greening of the Yarlung Zangbo River Basin in the Southern Tibetan Plateau, 1999–2013

    Directory of Open Access Journals (Sweden)

    Haidong Li

    2015-12-01

    Full Text Available The Yarlung Zangbo River basin is an important alley to transport moisture from the Indian Ocean to the inner Tibetan Plateau. With a wide range of elevations from 147 m to over 7000 m above sea level (a.s.l., ecosystems respond differently to climate change at various elevations. However, the pattern of elevation-dependent vegetation change and how it responds to recent warming have been rarely reported. Here, we investigated the pattern of vegetation greening at different elevations in this river basin using SPOT normalized difference vegetation index (NDVI data during 1999–2013, and examined its relationship with elevation-dependent changes in temperature and precipitation. The annual NDVI has increased by 8.83% from 1999 to 2013. In particular, the NDVI increased more apparently at lower elevations, but remained relatively stable or even decreased at high elevations. It seems that rising temperature has driven the basin-wide vegetation greening, but the greening rate is in contrast to the pattern of elevation-dependent warming (EDW with more significant temperature increase at higher elevations. It appears that decreasing precipitation does not reverse the overall increasing trend in NDVI, but relatively limited precipitation (<500 mm may constrain the NDVI increases, causing apparently stable or even decreased NDVI at higher elevations (>4000 m.

  1. [Change trend of vegetation cover in Beijing metropolitan region before and after the 2008 Olympics].

    Science.gov (United States)

    Sun, Xiao-Peng; Wang, Tian-Ming; Wu, Jian-Guo; Ge, Jian-Ping

    2012-11-01

    The MODIS-NDVI data from 2000 to 2009 were used to analyze the temporal dynamics and spatial distribution of the vegetation cover in the Beijing metropolitan region before and after the 2008 Olympics. During the study period, the proportion of the significantly increased pixels of NDVI occupied 20.7% while that of the significantly decreased pixels only occupied 4.1% of the total, and the decreasing rate of the NDVI was slightly faster than the increasing rate. The significant changes of the NDVI were mainly concentrated in the low altitude and small slope areas with intensive human activities, and two bands were formed in the plain area, i. e., the vegetation increasing band within the 5th Ring Road and the vegetation decreasing band from the 5th Ring Road to the outside areas of the 6th Ring Road. In the areas with significant vegetation change, there was an obvious transition between the high and low NDVI sections but less change in the medium NDVI section, mainly due to the conversion of land cover type. In the Capital function core area and ecological conservation zones, vegetation change represented a positive trend; while in the urban function expansion area and urban development area, vegetation change had the dual characteristics of both positive and negative trends. A series of ecological engineering projects during the preparatory period of the 2008 Olympics was the main cause of the vegetation increase in the study area.

  2. Analyzing millet price regimes and market performance in Niger with remote sensing data

    Science.gov (United States)

    Essam, Timothy Michael

    This dissertation concerns the analysis of staple food prices and market performance in Niger using remotely sensed vegetation indices in the form of normalized differenced vegetation index (NDVI). By exploiting the link between weather-related vegetation production conditions, which serve as a proxy for spatially explicit millet yields and thus millet availability, this study analyzes the potential causal links between NDVI outcomes and millet market performance and presents an empirical approach for predicting changes in market performance based on NDVI outcomes. Overall, the thesis finds that inter-market price spreads and levels of market integration can be reasonably explained by deviations in vegetation index outcomes from the growing season. Negative (positive) NDVI shocks are associated with better (worse) than expected market performance as measured by converging inter-market price spreads. As the number of markets affected by negatively abnormal vegetation production conditions in the same month of the growing season increases, inter-market price dispersion declines. Positive NDVI shocks, however, do not mirror this pattern in terms of the magnitude of inter-market price divergence. Market integration is also found to be linked to vegetation index outcomes as below (above) average NDVI outcomes result in more integrated (segmented) markets. Climate change and food security policies and interventions should be guided by these findings and account for dynamic relationships among market structures and vegetation production outcomes.

  3. Seasonal relationship between normalized difference vegetation index and abundance of the Phlebotomus kala-azar vector in an endemic focus in Bihar, India

    Directory of Open Access Journals (Sweden)

    Gouri S. Bhunia

    2012-11-01

    Full Text Available Remote sensing was applied for the collection of spatio-temporal data to increase our understanding of the potential distribution of the kala-azar vector Phlebotomus argentipes in endemic areas of the Vaishali district of Bihar, India. We produced monthly distribution maps of the normalized difference vegetation index (NDVI based on data from the thematic mapper (TM sensor onboard the Landsat-5 satellite. Minimum, maximum and mean NDVI values were computed for each month and compared with the concurrent incidence of kala-azar and the vector density. Maximum and mean NDVI values (R2 = 0.55 and R2 = 0.60, respectively, as well as the season likelihood ratio (X2 = 17.51; P <0.001, were found to be strongly associated with kala-azar, while the correlation with between minimum NDVI values and kala-azar was weak (R2 = 0.25. Additionally, a strong association was found between the mean and maximum NDVI values with seasonal vector abundance (R2 = 0.60 and R2 = 0.55, respectively but there was only a marginal association between minimum NDVI value and the spatial distribution of kala-azar vis-à-vis P. argentipes density.

  4. Climate Variations and Alaska Tundra Vegetation Productivity Declines in Spring

    Science.gov (United States)

    Bhatt, U. S.; Walker, D. A.; Bieniek, P.; Raynolds, M. K.; Epstein, H. E.; Comiso, J. C.; Pinzon, J. E.; Tucker, C. J.

    2015-12-01

    While sea ice has continued to decline, vegetation productivity increases have declined particularly during spring in Alaska as well as many parts of the Arctic tundra. To understand the processes behind these features we investigate spring climate variations that includes temperature, circulation patterns, and snow cover to determine how these may be contributing to spring browning. This study employs remotely sensed weekly 25-km sea ice concentration, weekly surface temperature, and bi-weekly NDVI from 1982 to 2014. Maximum NDVI (MaxNDVI, Maximum Normalized Difference Vegetation Index), Time Integrated NDVI (TI-NDVI), Summer Warmth Index (SWI, sum of degree months above freezing during May-August), atmospheric reanalysis data, dynamically downscaled climate data, meteorological station data, and snow water equivalent (GlobSnow, assimilated snow data set). We analyzed the data for the full period (1982-2014) and for two sub-periods (1982-1998 and 1999-2014), which were chosen based on the declining Alaska SWI since 1998. MaxNDVI has increased from 1982-2014 over most of the Arctic but has declined from 1999 to 2014 southwest Alaska. TI-NDVI has trends that are similar to those for MaxNDVI for the full period but display widespread declines over the 1999-2014 period. Therefore, as the MaxNDVI has continued to increase overall for the Arctic, TI-NDVI has been declining since 1999 and these declines are particularly noteworthy during spring in Alaska. Spring declines in Alaska have been linked to increased spring snow cover that can delay greenup (Bieniek et al. 2015) but recent ground observations suggest that after an initial warming and greening, late season freezing temperature are damaging the plants. The late season freezing temperature hypothesis will be explored with meteorological climate/weather data sets for Alaska tundra regions. References P.A. Bieniek, US Bhatt, DA Walker, MK Raynolds, JC Comiso, HE Epstein, JE Pinzon, CJ Tucker, RL Thoman, H Tran, N M

  5. Análise de Fourier e Wavelets aplicada à temperatura do ar em diferentes tipologias de ocupação

    Directory of Open Access Journals (Sweden)

    Maricéia T. Vilani

    2013-12-01

    Full Text Available Comumente, séries temporais de temperatura do ar são usadas nos estudos de clima devido à natureza temporal de seus sinais, que requerem investigações baseadas no espaço tempo-frequência a fim de revelar características espectrais em função do tempo. A transformada Wavelet fornece a representação precisa de um sinal em função do tempo e da frequência, simultaneamente, além de permitir analisar qualquer tipo de sinal ao qual a Série de Fourier se limita em determinadas análises. Desta forma, o presente trabalho fez uma análise da série temporal da temperatura do ar utilizando a série de Fourier e a transformada de Wavelet em quatro pontos, três de área urbana e um de área rural, em 2007. A intensidade de energia na alta escala de frequência para a temperatura do ar foi 24 h verificando-se potências significativas no decorrer do ano todo, nas escalas temporais de 2 a 32 dias, para os quatro pontos de estudo cuja variância mais acentuada foi no centro da área urbana.

  6. Estabilidade e instabilidade sistêmica: as orações de tempo sob uma perspectiva diacrônica

    Directory of Open Access Journals (Sweden)

    Maria Luíza Braga

    2014-03-01

    Full Text Available Neste artigo, focalizamos as orações complexas de tempo sob uma perspectiva em que se conjugam as dimensões diacrônica e sincrônica. Analisamos o uso dos diferentes conectores que expressam a relação de tempo, ao longo do período compreendido entre os séculos 18 a 21, buscando identificar a estabilidade / instabilidade nas propriedades a eles associadas. O estudo permite mostrar a estabilidade no conjunto de conectores utilizado nesse período da história, destacando-se, sobretudo, a maior frequência de quando e enquanto. Além disso, trazemos evidências quanto à necessidade de considerar as subespecificações semânticas codificadas pelas orações temporais. As orações temporais que codificam superposição e coextensividade temporal apresentam comportamento distinto daquelas que expressam sequencialidade.

  7. Hipotaxe e Gramaticalização: uma Análise das Construções de Tempo e de Condição

    Directory of Open Access Journals (Sweden)

    NEVES Maria Helena de Moura

    1998-01-01

    Full Text Available O trabalho estuda construções de orações hipotáticas temporais e construções de orações hipotáticas condicionais, com a finalidade de investigar o grau de gramaticalização que se verifica nesses dois tipos de enunciados. A hipótese é que quanto maior a integração da oração hipotática à nuclear, maior o grau de gramaticalização. Essa maior integração foi medida segundo três grupos de fatores, e os resultados mostraram que, em duas das variáveis avaliadas, as orações condicionais são as mais integradas a seu núcleo, mas, em outra ordem de avaliação, as orações temporais são as mais integradas. Dentro da base funcionalista em que o trabalho se move, esses resultados podem ser interpretados segundo o princípio da existência de competição de motivações no jogo da linguagem, entendendo-se que cada enunciado que se produz é o resultado do equilíbrio dessas pressões.

  8. AS INFLUÊNCIAS DA FILOSOFIA NATURAL E DA NATURPHILOSOPHIE NA CONSTITUIÇÃO DO DARWINISMO: ELEMENTOS PARA UMA FILOSOFIA DA GEOGRAFIA FÍSICA MODERNA

    Directory of Open Access Journals (Sweden)

    Antonio Carlos Vitte

    2009-06-01

    Full Text Available Esse trabalho argumenta que a teoria da evolução de Charles Darwin sofreu forte influência da naturphilosophie de Schelling e Hegel, representando um avanço positivo nas concepções de teleologia da natureza. Fortemente influenciado pelas obras de Alexander von Humboldt, de Werner e pelas pesquisas no campo da paleontologia, a Teoria da Evolução, concebeu a transformação dos organismos e a sua especiação a partir determinantes geográficos e temporais. Ideologicamente influenciado por Lyell, que acreditava na hipótese da vera causa, Darwin relegou a matriz espacial e concentrou suas argumentações nas mudanças temporais, basicamente climáticas, como determinante da evolução. Os impactos da teoria da evolução atingem tanto o campo da geografia física, quanto da geografia humana, influenciando fortemente na postura metodológica das pesquisas geográficas, mas chamando a atenção para a complexidade das relações entre o espaço e tempo que estão em constante mudança.

  9. As categorias aspectuais e a formação de construções com o Verbo leve dar

    Directory of Open Access Journals (Sweden)

    Ana Paula Scher

    2005-11-01

    Full Text Available Este trabalho revela que, embora bastante produtiva, a ocorrência de sentenças com a forma "dar uma Xada em Y", no português do Brasil, depende de algumas restrições semânticas bastante sistemáticas. Através da observação de um conjunto de dados baseados na intuição de vários falantes do português brasileiro, descreve-se, em termos dos traços temporais que compõem as categorias aspectuais, a interpretação semântica que se pode atribuir a sentenças como essas, em que uma nominalização em -ada ocorre associada ao verbo leve dar. Ao final, sugere-se que a formação de tais sentenças depende da presença ou não de alguns dos traços temporais intrínsecos às eventualidades denotadas pelos predicados dos quais derivam.

  10. As categorias aspectuais e a formação de construções com o Verbo leve dar

    Directory of Open Access Journals (Sweden)

    Ana Paula Scher

    2013-11-01

    Full Text Available Este trabalho revela que, embora bastante produtiva, a ocorrência de sentenças com a forma "dar uma Xada em Y", no português do Brasil, depende de algumas restrições semânticas bastante sistemáticas. Através da observação de um conjunto de dados baseados na intuição de vários falantes do português brasileiro, descreve-se, em termos dos traços temporais que compõem as categorias aspectuais, a interpretação semântica que se pode atribuir a sentenças como essas, em que uma nominalização em -ada ocorre associada ao verbo leve dar. Ao final, sugere-se que a formação de tais sentenças depende da presença ou não de alguns dos traços temporais intrínsecos às eventualidades denotadas pelos predicados dos quais derivam.

  11. Ressonância magnética na esquizofrenia: um estudo morfométrico

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    Castro Cláudio Campi de

    2001-01-01

    Full Text Available Trinta e três pacientes esquizofrênicos crônicos e 21 indivíduos normais foram submetidos a exames de ressonância magnética em aparelho de 1,5 T, sendo realizadas imagens ponderadas em T2 nos planos axial e coronal. Foram analisados, por métodos morfométricos semi-automáticos, os volumes intracraniano, supratentorial, infratentorial, do líquido cefalorraquiano total, ventricular e subaracnóide e do encéfalo. Foram ainda medidos os volumes do complexo amígdala-hipocampo, córtex do giro para-hipocampal, putâmen, globo pálido, lobo temporal e substâncias branca e cinzenta do lobo temporal. Foram calculados os volumes relativos dessas estruturas, corrigidos pelo volume intracraniano. As alterações mais relevantes observadas nos esquizofrênicos, em comparação com os controles, foram de redução do volume relativo do encéfalo, aumento do volume relativo do líquido cefalorraquiano ventricular, subaracnóide e total. Foi ainda observada redução do volume dos complexos amígdala-hipocampo, dos lobos temporais e da substância branca dos lobos temporais, e aumento de volume dos putâmens.

  12. Application of Satellite Solar-Induced Chlorophyll Fluorescence to Understanding Large-Scale Variations in Vegetation Phenology and Function Over Northern High Latitude Forests

    Science.gov (United States)

    Jeong, Su-Jong; Schimel, David; Frankenberg, Christian; Drewry, Darren T.; Fisher, Joshua B.; Verma, Manish; Berry, Joseph A.; Lee, Jung-Eun; Joiner, Joanna

    2016-01-01

    This study evaluates the large-scale seasonal phenology and physiology of vegetation over northern high latitude forests (40 deg - 55 deg N) during spring and fall by using remote sensing of solar-induced chlorophyll fluorescence (SIF), normalized difference vegetation index (NDVI) and observation-based estimate of gross primary productivity (GPP) from 2009 to 2011. Based on GPP phenology estimation in GPP, the growing season determined by SIF time-series is shorter in length than the growing season length determined solely using NDVI. This is mainly due to the extended period of high NDVI values, as compared to SIF, by about 46 days (+/-11 days), indicating a large-scale seasonal decoupling of physiological activity and changes in greenness in the fall. In addition to phenological timing, mean seasonal NDVI and SIF have different responses to temperature changes throughout the growing season. We observed that both NDVI and SIF linearly increased with temperature increases throughout the spring. However, in the fall, although NDVI linearly responded to temperature increases, SIF and GPP did not linearly increase with temperature increases, implying a seasonal hysteresis of SIF and GPP in response to temperature changes across boreal ecosystems throughout their growing season. Seasonal hysteresis of vegetation at large-scales is consistent with the known phenomena that light limits boreal forest ecosystem productivity in the fall. Our results suggest that continuing measurements from satellite remote sensing of both SIF and NDVI can help to understand the differences between, and information carried by, seasonal variations vegetation structure and greenness and physiology at large-scales across the critical boreal regions.

  13. Responses of Vegetation Growth to Climatic Factors in Shule River Basin in Northwest China: A Panel Analysis

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    Jinghui Qi

    2017-03-01

    Full Text Available The vegetation response to climatic factors is a hot topic in global change research. However, research on vegetation in Shule River Basin, which is a typical arid region in northwest China, is still limited, especially at micro scale. On the basis of Moderate-resolution Imaging Spectroradiometer (MODIS Normalized Difference Vegetation Index (NDVI data and daily meteorological data, employing panel data models and other mathematical models, the aim of this paper is to reveal the interactive relationship between vegetation variation and climatic factors in Shule River Basin. Results show that there is a widespread greening trend in the whole basin during 2000–2015, and 80.28% of greening areas (areas with vegetation improvement are distributed over upstream region, but the maximum vegetation variation appears in downstream area. The effects of climate change on NDVI lag about half to one month. The parameters estimated using panel data models indicate that precipitation and accumulated temperature have positive contribution to NDVI. With every 1-mm increase in rainfall, NDVI increases by around 0.223‰ in upstream area and 0.6‰ in downstream area. With every 1-°C increase in accumulated temperature, NDVI increases by around 0.241‰ in upstream area and 0.174‰ in downstream area. Responses of NDVI to climatic factors are more sensitive when these factors are limiting than when they are not limiting. NDVI variation has performance in two seasonal and inter-annual directions, and the range of seasonal change is far more than that of inter-annual change. The inverted U-shaped curve of the variable intercepts reflects the seasonal change. Our results might provide some scientific basis for the comprehensive basin management.

  14. Seasonal vegetation response to climate change in the Northern Hemisphere (1982-2013)

    Science.gov (United States)

    Kong, Dongdong; Zhang, Qiang; Singh, Vijay P.; Shi, Peijun

    2017-01-01

    This study investigated vegetation response to climate change exhibited by temperature, soil moisture, and solar radiation at Northern Hemisphere (NH) scale during the growing season and seasonal periods by analyzing satellite observations of vegetation activity and climatic data for a period of 1982-2013. Generally, About 75.8% of NH was dominated by increasing NDVI3g during growing season in 1982-2013, and 50.7% significantly increase. Autumn NDVI3g is the main cause, with 77.7% increase (45.0% significantly increase). The increasing tendency of greenness was stalled and even shifted to vegetation browning after 1994-1997 specifically in Central Europe, Northern North America, and Central Siberia. NDVI3g increase during the growing season shifts from 0.017 year- 1 to 0.006 year- 1, which mainly due to decreased spring NDVI3g and slowdown of summer NDVI3g increase. Specifically, three time intervals were identified with relatively peak NDVI3g, i.e., 1990, 1997 and 2010, and three time intervals with trough NDVI3g, i.e., 1983, 1992-1994, 2002-2005. The factors potentially influencing vegetation growth in different parts of NH are complex and varied. Temperature is recognized as the critical factor behind vegetation greenness in high latitudes especially for spring and autumn temperature, in North America and Siberia. Soil moisture is the key factor influencing vegetation growth in central