WorldWideScience

Sample records for georeferencing

  1. DIRECT GEOREFERENCING OF UAVS

    Directory of Open Access Journals (Sweden)

    M. Bláha

    2012-09-01

    Full Text Available UAV systems have become an attractive data acquisition platform in emerging applications. As measuring instrument they extend the lineup of possible surveying methods in the field of geomatics. However, most of UAVs are equipped with low-cost navigation sensors such as GPS or INS, allowing a positioning accuracy of 3 to 5 m. As a result the acquired position- and orientation data fea- tures a low accuracy which implicates that it cannot be used in applications that require high precision data on cm-level (e.g. direct georeferencing. In this paper we will analyze the potential of differential post-processing of GPS data from UAV in order to im- prove the positioning accuracy for applications basing on direct georeferencing. Subsequently, the obtained results are compared and verified with a track of the octocopter carried out with a total station simultaneously to the GPS data acquisition. The results show that the differential post-processing essentially improved the accuracy of the Falcon position data. Thereby the average offset be- tween the data sets (GPS data, track and the corresponding standard deviation is 0.82 m and 0.45 m, respectively. However, under ideal conditions it is even possible to improve this positioning accuracy to the cm-range. Furthermore, there are still several sources of error such as the offset between the GPS antenna of the Falcon 8 and the prism which is used for the track. Considering this fact there is further room for improvement regarding the here discussed positioning method.

  2. Methodology and software for georeferencing vineyards

    Directory of Open Access Journals (Sweden)

    Fialho Flávio Bello

    2016-01-01

    Full Text Available An agricultural registry is a collection of information about production area and yield of agricultural properties in a region or designated area. It allows to measure agricultural production and its spatial distribution, characterize rural structure, facilitate inspection and development of agricultural policies, optimize distribution of agricultural credit, estimate crop yield and generate research data. A key component for a quality registry is accurate measurement of areas and their geographical position, through georeferencing, to allow integration with other spatial information. The Vineyard Registry of Rio Grande do Sul is one of the most complete agricultural registries in Brazil. It has been carried out in all grape producing properties in the state since 1995, and its georeferencing began in 2005, with the objective of accurately map vineyards. Embrapa has developed a methodology to accelerate georeferencing, by simplifying the field mapping process. One of the central points of this methodology was the development of a software called MapaGPS to organize and classify measured points in the field. Recently, this software has been improved, with the incorporation of features, such as transformation between coordinate systems, conversion between files of different formats, and more control over generated charts. The georeferencing experience of the Vineyard Registry of Rio Grande do Sul may be used throughout Brazil and other countries. The software is available under a free license, and there are no restrictions to adopting the methodology. This document aims to disclose details of this methodology and how it may be used to facilitate zoning projects worldwide.

  3. Georeferencing in QGIS 2.0

    Directory of Open Access Journals (Sweden)

    Jim Clifford

    2013-12-01

    Full Text Available In this lesson, you will learn how to georeference historical maps so that they may be added to a GIS as a raster layer. Georeferencing is required for anyone who wants to accurately digitize data found on a paper map, and since historians work mostly in the realm of paper, georeferencing is one of our most commonly used tools. The technique uses a series of control points to give a two-dimensional object like a paper map the real world coordinates it needs to align with the three-dimensional features of the earth in GIS software (in Intro to Google Maps and Google Earth we saw an ‘overlay’ which is a Google Earth shortcut version of georeferencing. Georeferencing a historical map requires a knowledge of both the geography and the history of the place you are studying to ensure accuracy. The built and natural landscapes change over time, and it is important to confirm that the location of your control points — whether they be houses, intersections, or even towns — have remained constant. Entering control points in a GIS is easy, but behind the scenes, georeferencing uses complex transformation and compression processes. These are used to correct the distortions and inaccuracies found in many historical maps and stretch the maps so that they fit geographic coordinates. In cartography this is known as rubber-sheeting because it treats the map as if it were made of rubber and the control points as if they were tacks ‘pinning’ the historical document to a three dimensional surface like the globe. To offer some examples of georeferenced historical maps, we prepared some National Topographic Series maps hosted on the University of Toronto Map Library website courtesy of Marcel Fortin, and we overlaid them on a Google web map. Viewers can adjust the transparency with the slider bar on the top right, view the historical map as an overlay on terrain or satellite images, or click ‘Earth’ to switch into Google Earth mode and see 3D

  4. User Defined Geo-referenced Information

    DEFF Research Database (Denmark)

    Konstantas, Dimitri; Villalba, Alfredo; di Marzo Serugendo, Giovanna

    2009-01-01

    The evolution of technology allow us today to extent the “location based services” to fine grained services and allow any mobile user to create location based information and make it available to anyone interested. This evolution open the way for new services and applications for the mobile users....... In this paper we present two novel mobile and wireless collaborative services and concepts, the Hovering Information, a mobile, geo-referenced content information management system, and the QoS Information service, providing user observed end-to-end infrastructure geo-related QoS information....

  5. User Defined Geo-referenced Information

    DEFF Research Database (Denmark)

    Konstantas, Dimitri; Villalba, Alfredo; di Marzo Serugendo, Giovanna

    2009-01-01

    The evolution of technology allow us today to extent the “location based services” to fine grained services and allow any mobile user to create location based information and make it available to anyone interested. This evolution open the way for new services and applications for the mobile users....... In this paper we present two novel mobile and wireless collaborative services and concepts, the Hovering Information, a mobile, geo-referenced content information management system, and the QoS Information service, providing user observed end-to-end infrastructure geo-related QoS information....

  6. Georeferencing on Synthetic Aperture Radar Imagery

    Science.gov (United States)

    Esmaeilzade, M.; Amini, J.; Zakeri, S.

    2015-12-01

    Due to the SAR1 geometry imaging, SAR images include geometric distortions that would be erroneous image information and the images should be geometrically calibrated. As the radar systems are side looking, geometric distortion such as shadow, foreshortening and layover are occurred. To compensate these geometric distortions, information about sensor position, imaging geometry and target altitude from ellipsoid should be available. In this paper, a method for geometric calibration of SAR images is proposed. The method uses Range-Doppler equations. In this method, for the image georeferencing, the DEM2 of SRTM with 30m pixel size is used and also exact ephemeris data of the sensor is required. In the algorithm proposed in this paper, first digital elevation model transmit to range and azimuth direction. By applying this process, errors caused by topography such as foreshortening and layover are removed in the transferred DEM. Then, the position of the corners on original image is found base on the transferred DEM. Next, original image registered to transfer DEM by 8 parameters projective transformation. The output is the georeferenced image that its geometric distortions are removed. The advantage of the method described in this article is that it does not require any control point as well as the need to attitude and rotational parameters of the sensor. Since the ground range resolution of used images are about 30m, the geocoded images using the method described in this paper have an accuracy about 20m (subpixel) in planimetry and about 30m in altimetry. 1 Synthetic Aperture Radar 2 Digital Elevation Model

  7. Application of Georeferencing in the management of environmental ...

    African Journals Online (AJOL)

    Application of Georeferencing in the management of environmental pollution in the ... range of important ecosystem goods and services provided by the Niger Delta ... opportunities in the accurate monitoring and assessment of environmental ...

  8. Uncertainty in georeferencing current and historic plant locations

    Science.gov (United States)

    McEachern, K.; Niessen, K.

    2009-01-01

    With shrinking habitats, weed invasions, and climate change, repeated surveys are becoming increasingly important for rare plant conservation and ecological restoration. We often need to relocate historical sites or provide locations for newly restored sites. Georeferencing is the technique of giving geographic coordinates to the location of a site. Georeferencing has been done historically using verbal descriptions or field maps that accompany voucher collections. New digital technology gives us more exact techniques for mapping and storing location information. Error still exists, however, and even georeferenced locations can be uncertain, especially if error information is not included with the observation. We review the concept of uncertainty in georeferencing and compare several institutional database systems for cataloging error and uncertainty with georeferenced locations. These concepts are widely discussed among geographers, but ecologists and restorationists need to become more aware of issues related to uncertainty to improve our use of spatial information in field studies. ?? 2009 by the Board of Regents of the University of Wisconsin System.

  9. Georeferenced LiDAR 3D Vine Plantation Map Generation

    OpenAIRE

    Meritxell Queraltó; Jordi Llop; Emilio Gil; Jordi Llorens

    2011-01-01

    The use of electronic devices for canopy characterization has recently been widely discussed. Among such devices, LiDAR sensors appear to be the most accurate and precise. Information obtained with LiDAR sensors during reading while driving a tractor along a crop row can be managed and transformed into canopy density maps by evaluating the frequency of LiDAR returns. This paper describes a proposed methodology to obtain a georeferenced canopy map by combining the information obtained with LiD...

  10. Georeferenced LiDAR 3D vine plantation map generation.

    Science.gov (United States)

    Llorens, Jordi; Gil, Emilio; Llop, Jordi; Queraltó, Meritxell

    2011-01-01

    The use of electronic devices for canopy characterization has recently been widely discussed. Among such devices, LiDAR sensors appear to be the most accurate and precise. Information obtained with LiDAR sensors during reading while driving a tractor along a crop row can be managed and transformed into canopy density maps by evaluating the frequency of LiDAR returns. This paper describes a proposed methodology to obtain a georeferenced canopy map by combining the information obtained with LiDAR with that generated using a GPS receiver installed on top of a tractor. Data regarding the velocity of LiDAR measurements and UTM coordinates of each measured point on the canopy were obtained by applying the proposed transformation process. The process allows overlap of the canopy density map generated with the image of the intended measured area using Google Earth(®), providing accurate information about the canopy distribution and/or location of damage along the rows. This methodology was applied and tested on different vine varieties and crop stages in two important vine production areas in Spain. The results indicate that the georeferenced information obtained with LiDAR sensors appears to be an interesting tool with the potential to improve crop management processes.

  11. Georeferenced LiDAR 3D Vine Plantation Map Generation

    Directory of Open Access Journals (Sweden)

    Meritxell Queraltó

    2011-06-01

    Full Text Available The use of electronic devices for canopy characterization has recently been widely discussed. Among such devices, LiDAR sensors appear to be the most accurate and precise. Information obtained with LiDAR sensors during reading while driving a tractor along a crop row can be managed and transformed into canopy density maps by evaluating the frequency of LiDAR returns. This paper describes a proposed methodology to obtain a georeferenced canopy map by combining the information obtained with LiDAR with that generated using a GPS receiver installed on top of a tractor. Data regarding the velocity of LiDAR measurements and UTM coordinates of each measured point on the canopy were obtained by applying the proposed transformation process. The process allows overlap of the canopy density map generated with the image of the intended measured area using Google Earth®, providing accurate information about the canopy distribution and/or location of damage along the rows. This methodology was applied and tested on different vine varieties and crop stages in two important vine production areas in Spain. The results indicate that the georeferenced information obtained with LiDAR sensors appears to be an interesting tool with the potential to improve crop management processes.

  12. DIRECT GEOREFERENCING OF UAV DATA BASED ON SIMPLE BUILDING STRUCTURES

    Directory of Open Access Journals (Sweden)

    W. Tampubolon

    2016-06-01

    Full Text Available Unmanned Aerial Vehicle (UAV data acquisition is more flexible compared with the more complex traditional airborne data acquisition. This advantage puts UAV platforms in a position as an alternative acquisition method in many applications including Large Scale Topographical Mapping (LSTM. LSTM, i.e. larger or equal than 1:10.000 map scale, is one of a number of prominent priority tasks to be solved in an accelerated way especially in third world developing countries such as Indonesia. As one component of fundamental geospatial data sets, large scale topographical maps are mandatory in order to enable detailed spatial planning. However, the accuracy of the products derived from the UAV data are normally not sufficient for LSTM as it needs robust georeferencing, which requires additional costly efforts such as the incorporation of sophisticated GPS Inertial Navigation System (INS or Inertial Measurement Unit (IMU on the platform and/or Ground Control Point (GCP data on the ground. To reduce the costs and the weight on the UAV alternative solutions have to be found. This paper outlines a direct georeferencing method of UAV data by providing image orientation parameters derived from simple building structures and presents results of an investigation on the achievable results in a LSTM application. In this case, the image orientation determination has been performed through sequential images without any input from INS/IMU equipment. The simple building structures play a significant role in such a way that geometrical characteristics have been considered. Some instances are the orthogonality of the building’s wall/rooftop and the local knowledge of the building orientation in the field. In addition, we want to include the Structure from Motion (SfM approach in order to reduce the number of required GCPs especially for the absolute orientation purpose. The SfM technique applied to the UAV data and simple building structures additionally presents an

  13. Direct Georeferencing of Uav Data Based on Simple Building Structures

    Science.gov (United States)

    Tampubolon, W.; Reinhardt, W.

    2016-06-01

    Unmanned Aerial Vehicle (UAV) data acquisition is more flexible compared with the more complex traditional airborne data acquisition. This advantage puts UAV platforms in a position as an alternative acquisition method in many applications including Large Scale Topographical Mapping (LSTM). LSTM, i.e. larger or equal than 1:10.000 map scale, is one of a number of prominent priority tasks to be solved in an accelerated way especially in third world developing countries such as Indonesia. As one component of fundamental geospatial data sets, large scale topographical maps are mandatory in order to enable detailed spatial planning. However, the accuracy of the products derived from the UAV data are normally not sufficient for LSTM as it needs robust georeferencing, which requires additional costly efforts such as the incorporation of sophisticated GPS Inertial Navigation System (INS) or Inertial Measurement Unit (IMU) on the platform and/or Ground Control Point (GCP) data on the ground. To reduce the costs and the weight on the UAV alternative solutions have to be found. This paper outlines a direct georeferencing method of UAV data by providing image orientation parameters derived from simple building structures and presents results of an investigation on the achievable results in a LSTM application. In this case, the image orientation determination has been performed through sequential images without any input from INS/IMU equipment. The simple building structures play a significant role in such a way that geometrical characteristics have been considered. Some instances are the orthogonality of the building's wall/rooftop and the local knowledge of the building orientation in the field. In addition, we want to include the Structure from Motion (SfM) approach in order to reduce the number of required GCPs especially for the absolute orientation purpose. The SfM technique applied to the UAV data and simple building structures additionally presents an effective tool

  14. Rapid Characterization of Shorelines using a Georeferenced Video Mapping System

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, Michael G.; Judd, Chaeli; Marcoe, K.

    2012-09-01

    Increased understanding of shoreline conditions is needed, yet current approaches are limited in ability to characterize remote areas or document features at a finer resolution. Documentation using video mapping may provide a rapid and repeatable method for assessing the current state of the environment and determining changes to the shoreline over time. In this study, we compare two studies using boat-based, georeferenced video mapping in coastal Washington and the Columbia River Estuary to map and characterize coastal stressors and functional data. In both areas, mapping multiple features along the shoreline required approximation of the coastline. However, characterization of vertically oriented features such as shoreline armoring and small features such as pilings and large woody debris was possible. In addition, end users noted that geovideo provides a permanent record to allow a user to examine recorded video anywhere along a transect or at discrete points.

  15. Vision-Based Georeferencing of GPR in Urban Areas

    Directory of Open Access Journals (Sweden)

    Riccardo Barzaghi

    2016-01-01

    Full Text Available Ground Penetrating Radar (GPR surveying is widely used to gather accurate knowledge about the geometry and position of underground utilities. The sensor arrays need to be coupled to an accurate positioning system, like a geodetic-grade Global Navigation Satellite System (GNSS device. However, in urban areas this approach is not always feasible because GNSS accuracy can be substantially degraded due to the presence of buildings, trees, tunnels, etc. In this work, a photogrammetric (vision-based method for GPR georeferencing is presented. The method can be summarized in three main steps: tie point extraction from the images acquired during the survey, computation of approximate camera extrinsic parameters and finally a refinement of the parameter estimation using a rigorous implementation of the collinearity equations. A test under operational conditions is described, where accuracy of a few centimeters has been achieved. The results demonstrate that the solution was robust enough for recovering vehicle trajectories even in critical situations, such as poorly textured framed surfaces, short baselines, and low intersection angles.

  16. Small UAV-Acquired, High-resolution, Georeferenced Still Imagery

    Energy Technology Data Exchange (ETDEWEB)

    Ryan Hruska

    2005-09-01

    Currently, small Unmanned Aerial Vehicles (UAVs) are primarily used for capturing and down-linking real-time video. To date, their role as a low-cost airborne platform for capturing high-resolution, georeferenced still imagery has not been fully utilized. On-going work within the Unmanned Vehicle Systems Program at the Idaho National Laboratory (INL) is attempting to exploit this small UAV-acquired, still imagery potential. Initially, a UAV-based still imagery work flow model was developed that includes initial UAV mission planning, sensor selection, UAV/sensor integration, and imagery collection, processing, and analysis. Components to support each stage of the work flow are also being developed. Critical to use of acquired still imagery is the ability to detect changes between images of the same area over time. To enhance the analysts’ change detection ability, a UAV-specific, GIS-based change detection system called SADI or System for Analyzing Differences in Imagery is under development. This paper will discuss the associated challenges and approaches to collecting still imagery with small UAVs. Additionally, specific components of the developed work flow system will be described and graphically illustrated using varied examples of small UAV-acquired still imagery.

  17. Vision-Based Georeferencing of GPR in Urban Areas

    Science.gov (United States)

    Barzaghi, Riccardo; Cazzaniga, Noemi Emanuela; Pagliari, Diana; Pinto, Livio

    2016-01-01

    Ground Penetrating Radar (GPR) surveying is widely used to gather accurate knowledge about the geometry and position of underground utilities. The sensor arrays need to be coupled to an accurate positioning system, like a geodetic-grade Global Navigation Satellite System (GNSS) device. However, in urban areas this approach is not always feasible because GNSS accuracy can be substantially degraded due to the presence of buildings, trees, tunnels, etc. In this work, a photogrammetric (vision-based) method for GPR georeferencing is presented. The method can be summarized in three main steps: tie point extraction from the images acquired during the survey, computation of approximate camera extrinsic parameters and finally a refinement of the parameter estimation using a rigorous implementation of the collinearity equations. A test under operational conditions is described, where accuracy of a few centimeters has been achieved. The results demonstrate that the solution was robust enough for recovering vehicle trajectories even in critical situations, such as poorly textured framed surfaces, short baselines, and low intersection angles. PMID:26805842

  18. OBJECT-BASED CHANGE DETECTION USING GEOREFERENCED UAV IMAGES

    Directory of Open Access Journals (Sweden)

    J. Shi

    2012-09-01

    Full Text Available Unmanned aerial vehicles (UAV have been widely used to capture and down-link real-time videos/images. However, their role as a low-cost airborne platform for capturing high-resolution, geo-referenced still imagery has not been fully utilized. The images obtained from UAV are advantageous over remote sensing images as they can be obtained at a low cost and potentially no risk to human life. However, these images are distorted due to the noise generated by the rotary wings which limits the usefulness of such images. One potential application of such images is to detect changes between the images of the same area which are collected over time. Change detection is of widespread interest due to a large number of applications, including surveillance and civil infrastructure. Although UAVs can provide images with high resolution in a portable and easy way, such images only cover small parts of the entire field of interest and are often with high deformation. Until now, there is not much application of change detection for UAV images. Also the traditional pixel-based change detection method does not give satisfactory results for such images. In this paper, we have proposed a novel object-based method for change detection using UAV images which can overcome the effect of deformation and can fully utilize the high resolution capability of UAV images. The developed method can be divided into five main blocks: pre-processing, image matching, image segmentation and feature extraction, change detection and accuracy evaluation. The pre-processing step is further divided into two sub-steps: the first sub-step is to geometrically correct the bi-temporal image based on the geo-reference information (GPS/INS installed on the UAV system, and the second sub-step is the radiometric normalization using a histogram method. The image matching block uses the well-known scale-invariant feature transform (SIFT algorithm to match the same areas in the images and then

  19. Computer vision-based orthorectification and georeferencing of aerial image sets

    Science.gov (United States)

    Faraji, Mohammad Reza; Qi, Xiaojun; Jensen, Austin

    2016-07-01

    Generating a georeferenced mosaic map from unmanned aerial vehicle (UAV) imagery is a challenging task. Direct and indirect georeferencing methods may fail to generate an accurate mosaic map due to the erroneous exterior orientation parameters stored in the inertial measurement unit (IMU), erroneous global positioning system (GPS) data, and difficulty in locating ground control points (GCPs) or having a sufficient number of GCPs. This paper presents a practical framework to orthorectify and georeference aerial images using the robust features-based matching method. The proposed georeferencing process is fully automatic and does not require any GCPs. It is also a near real-time process which can be used to determine whether aerial images taken by UAV cover the entire target area. We also extend this framework to use the inverse georeferencing process to update the IMU/GPS data which can be further used to calibrate the camera of the UAV, reduce IMU/GPS errors, and thus produce more accurate mosaic maps by employing any georeferencing method. Our experiments demonstrate the effectiveness of the proposed framework in producing comparable mosaic maps as commercial software Agisoft and the effectiveness of the extended framework in significantly reducing the errors in the IMU/GPS data.

  20. Tools for address georeferencing - limitations and opportunities every public health professional should be aware of.

    Directory of Open Access Journals (Sweden)

    Ana Isabel Ribeiro

    Full Text Available Various address georeferencing (AG tools are currently available. But little is known about the quality of each tool. Using data from the EPIPorto cohort we compared the most commonly used AG tools in terms of positional error (PE and subjects' misclassification according to census tract socioeconomic status (SES, a widely used variable in epidemiologic studies. Participants of the EPIPorto cohort (n = 2427 were georeferenced using Geographical Information Systems (GIS and Google Earth (GE. One hundred were randomly selected and georeferenced using three additional tools: 1 cadastral maps (gold-standard; 2 Global Positioning Systems (GPS and 3 Google Earth, single and in a batch. Mean PE and the proportion of misclassified individuals were compared. Google Earth showed lower PE than GIS, but 10% of the addresses were imprecisely positioned. Thirty-eight, 27, 16 and 14% of the participants were located in the wrong census tract by GIS, GPS, GE (batch and GE (single, respectively (p<0.001. Misclassification according to SES was less frequent but still non-negligible -14.4, 8.1, 4.2 and 2% (p<0.001. The quality of georeferencing differed substantially between AG tools. GE seems to be the best tool, but only if prudently used. Epidemiologic studies using spatial data should start including information on the quality and accuracy of their georeferencing tools and spatial datasets.

  1. Georeferenced Point Clouds: A Survey of Features and Point Cloud Management

    Directory of Open Access Journals (Sweden)

    Johannes Otepka

    2013-10-01

    Full Text Available This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed. This includes the data structures, but also spatial processing concepts. We suggest a categorization of features into levels that reflect the amount of processing. Point clouds are found across many disciplines, which is reflected in the versatility of the literature suggesting specific features.

  2. Creating a Geo-Referenced Bibliography with Google Earth and Geocommons: The Coos Bay Bibliography

    Science.gov (United States)

    Schmitt, Jenni; Butler, Barb

    2012-01-01

    We compiled a geo-referenced bibliography of research including theses, peer-reviewed articles, agency literature, and books having sample collection sites in and around Coos Bay, Oregon. Using Google Earth and GeoCommons we created a map that allows users such as visiting researchers, faculty, students, and local agencies to identify previous…

  3. Integrated GNSS attitude determination and positioning for direct geo-referencing

    NARCIS (Netherlands)

    Nadarajah, N.; Paffenholz, J.A.; Teunissen, P.J.G.

    2014-01-01

    Direct geo-referencing is an efficient methodology for the fast acquisition of 3D spatial data. It requires the fusion of spatial data acquisition sensors with navigation sensors, such as Global Navigation Satellite System (GNSS) receivers. In this contribution, we consider an integrated GNSS naviga

  4. Effects of georeferencing effort on mapping monkeypox case distributions and transmission risk

    Directory of Open Access Journals (Sweden)

    Lash R

    2012-06-01

    Full Text Available Abstract Background Maps of disease occurrences and GIS-based models of disease transmission risk are increasingly common, and both rely on georeferenced diseases data. Automated methods for georeferencing disease data have been widely studied for developed countries with rich sources of geographic referenced data. However, the transferability of these methods to countries without comparable geographic reference data, particularly when working with historical disease data, has not been as widely studied. Historically, precise geographic information about where individual cases occur has been collected and stored verbally, identifying specific locations using place names. Georeferencing historic data is challenging however, because it is difficult to find appropriate geographic reference data to match the place names to. Here, we assess the degree of care and research invested in converting textual descriptions of disease occurrence locations to numerical grid coordinates (latitude and longitude. Specifically, we develop three datasets from the same, original monkeypox disease occurrence data, with varying levels of care and effort: the first based on an automated web-service, the second improving on the first by reference to additional maps and digital gazetteers, and the third improving still more based on extensive consultation of legacy surveillance records that provided considerable additional information about each case. To illustrate the implications of these seemingly subtle improvements in data quality, we develop ecological niche models and predictive maps of monkeypox transmission risk based on each of the three occurrence data sets. Results We found macrogeographic variations in ecological niche models depending on the type of georeferencing method used. Less-careful georeferencing identified much smaller areas as having potential for monkeypox transmission in the Sahel region, as well as around the rim of the Congo Basin. These

  5. Real-time geo-referenced video mosaicking with the MATISSE system

    DEFF Research Database (Denmark)

    Vincent, Anne-Gaelle; Pessel, Nathalie; Borgetto, Manon

    This paper presents the MATISSE system: Mosaicking Advanced Technologies Integrated in a Single Software Environment. This system aims at producing in-line and off-line geo-referenced video mosaics of seabed given a video input and navigation data. It is based upon several techniques of image...... and signal processing which have been developed at Ifremer these last years in the fields of image mosaicking, camera self-calibration or correction and estimation of navigation data....

  6. 3D Maize Plant Reconstruction Based on Georeferenced Overlapping LiDAR Point Clouds

    Directory of Open Access Journals (Sweden)

    Miguel Garrido

    2015-12-01

    Full Text Available 3D crop reconstruction with a high temporal resolution and by the use of non-destructive measuring technologies can support the automation of plant phenotyping processes. Thereby, the availability of such 3D data can give valuable information about the plant development and the interaction of the plant genotype with the environment. This article presents a new methodology for georeferenced 3D reconstruction of maize plant structure. For this purpose a total station, an IMU, and several 2D LiDARs with different orientations were mounted on an autonomous vehicle. By the multistep methodology presented, based on the application of the ICP algorithm for point cloud fusion, it was possible to perform the georeferenced point clouds overlapping. The overlapping point cloud algorithm showed that the aerial points (corresponding mainly to plant parts were reduced to 1.5%–9% of the total registered data. The remaining were redundant or ground points. Through the inclusion of different LiDAR point of views of the scene, a more realistic representation of the surrounding is obtained by the incorporation of new useful information but also of noise. The use of georeferenced 3D maize plant reconstruction at different growth stages, combined with the total station accuracy could be highly useful when performing precision agriculture at the crop plant level.

  7. Georeferencing natural disaster impact footprints : lessons learned from the EM-DAT experience

    Science.gov (United States)

    Wallemacq, Pascaline; Guha Sapir, Debarati

    2014-05-01

    The Emergency Events Database (EM-DAT) contains data about the occurrence and consequences of all the disasters that have taken place since 1900. The main objectives of the database are to serve the purposes of humanitarian action at national and international levels; to aid decision making for disaster preparedness, as well as providing an objective base for vulnerability assessments and priority setting. EM-DAT records data on the human and economic impacts for each event as well as the location of said event. This is recorded as text data, namely the province, department, county, district, or village. The first purpose of geocoding (or georeferencing) the EM-DAT database is to transform the location data from text format into code data. The GAUL (Global Administrative Unit Layers) database (FAO) is used as a basis to identify the geographic footprint of the disaster, ideally to the second administrative level and add a unique code for each affected unit. Our first step has involved georeferencing earthquakes since the location of these is precise. The second purpose is to detail the degree of precision of georeferencing. The application and benefits of georeferencing are manifold. The geographic information of the footprint of past (after 2000) and future natural disasters permits the location of vulnerable areas with a GIS system and to cross data from different sources. It will allow the study of different elements such as the extent of a disaster and its human and economic consequences; the exposure and vulnerability of the population in space and time and the efficiency of mitigation measures. In addition, any association between events and external factors can be identified (e.g.: is the famine located at the same places as drought?) and precision of the information in the disaster report can be evaluated. Besides this, these maps will provide valuable communication support since maps have a high communication power and are easily understandable by the

  8. Mobile TDR for geo-referenced measurement of soil water content and electrical conductivity

    DEFF Research Database (Denmark)

    Thomsen, Anton; Schelde, Kirsten; Drøscher, Per;

    2007-01-01

    The development of site-specific crop management is constrained by the availability of sensors for monitoring important soil and crop related conditions. A mobile time-domain reflectometry (TDR) unit for geo-referenced soil measurements has been developed and used for detailed mapping of soil water...... are closely related to the clay and silt fractions of a variable field. The application to early season field mapping of water content, electrical conductivity and clay content is presented. The water and clay content maps are to be used for automated delineation of field management units. Based on a spatial...

  9. Pantir - a Dual Camera Setup for Precise Georeferencing and Mosaicing of Thermal Aerial Images

    Science.gov (United States)

    Weber, I.; Jenal, A.; Kneer, C.; Bongartz, J.

    2015-03-01

    Research and monitoring in fields like hydrology and agriculture are applications of airborne thermal infrared (TIR) cameras, which suffer from low spatial resolution and low quality lenses. Common ground control points (GCPs), lacking thermal activity and being relatively small in size, cannot be used in TIR images. Precise georeferencing and mosaicing however is necessary for data analysis. Adding a high resolution visible light camera (VIS) with a high quality lens very close to the TIR camera, in the same stabilized rig, allows us to do accurate geoprocessing with standard GCPs after fusing both images (VIS+TIR) using standard image registration methods.

  10. CAG - computer-aid-georeferencing, or rapid sharing, restructuring and presentation of environmental data using remote-server georeferencing for the GE clients. Educational and scientific implications.

    Science.gov (United States)

    Hronusov, V. V.

    2006-12-01

    We suggest a method of using external public servers for rearranging, restructuring and rapid sharing of environmental data for the purpose of quick presentations in numerous GE clients. The method allows to add new philosophy for the presentation (publication) of the data (mostly static) stored in the public domain (e.g., Blue Marble, Visible Earth, etc). - The new approach is generated by publishing freely accessible spreadsheets which contain enough information and links to the data. Due to the fact that most of the large depositories of the data on the environmental monitoring have rather simple net address system as well as simple hierarchy mostly based on the date and type of the data, it is possible to develop the http-based link to the file which contains the data. Publication of new data on the server is recorded by a simple entering a new address into a cell in the spreadsheet. At the moment we use the EditGrid (www.editgrid.com) system as a spreadsheet platform. The generation of kml-codes is achieved on the basis of XML data and XSLT procedures. Since the EditGride environment supports "fetch" and similar commands, it is possible to create"smart-adaptive" KML generation on the fly based on the data streams from RSS and XML sources. The previous GIS-based methods could combine hi-definition data combined from various sources, but large- scale comparisons of dynamic processes have been usually out of reach of the technology. The suggested method allows unlimited number of GE clients to view, review and compare dynamic and static process of previously un-combinable sources, and on unprecedent scales. The ease of automated or computer-assisted georeferencing has already led to translation about 3000 raster public domain imagery, point and linear data sources into GE-language. In addition the suggested method allows a user to create rapid animations to demonstrate dynamic processes; roducts of high demand in education, meteorology, volcanology and

  11. Particle filtering methods for georeferencing panoramic image sequence in complex urban scenes

    Science.gov (United States)

    Ji, Shunping; Shi, Yun; Shan, Jie; Shao, Xiaowei; Shi, Zhongchao; Yuan, Xiuxiao; Yang, Peng; Wu, Wenbin; Tang, Huajun; Shibasaki, Ryosuke

    2015-07-01

    Georeferencing image sequences is critical for mobile mapping systems. Traditional methods such as bundle adjustment need adequate and well-distributed ground control points (GCP) when accurate GPS data are not available in complex urban scenes. For applications of large areas, automatic extraction of GCPs by matching vehicle-born image sequences with geo-referenced ortho-images will be a better choice than intensive GCP collection with field surveying. However, such image matching generated GCP's are highly noisy, especially in complex urban street environments due to shadows, occlusions and moving objects in the ortho images. This study presents a probabilistic solution that integrates matching and localization under one framework. First, a probabilistic and global localization model is formulated based on the Bayes' rules and Markov chain. Unlike many conventional methods, our model can accommodate non-Gaussian observation. In the next step, a particle filtering method is applied to determine this model under highly noisy GCP's. Owing to the multiple hypotheses tracking represented by diverse particles, the method can balance the strength of geometric and radiometric constraints, i.e., drifted motion models and noisy GCP's, and guarantee an approximately optimal trajectory. Carried out tests are with thousands of mobile panoramic images and aerial ortho-images. Comparing with the conventional extended Kalman filtering and a global registration method, the proposed approach can succeed even under more than 80% gross errors in GCP's and reach a good accuracy equivalent to the traditional bundle adjustment with dense and precise control.

  12. Accuracy Assessment of Point Clouds Geo-Referencing in Surveying and Documentation of Historical Complexes

    Science.gov (United States)

    Fryskowska, A.

    2017-05-01

    Terrestrial Laser Scanning (TLS) technique is widely used for documentation and preservation of historical sites by for example creating three-dimensional (3-D) digital models or vectorial sketches. In consequence, a complex, complete, detail and accurate documentation of historical structure is created. It is very crucial when it comes about modern digital culture. If we acquire TLS data of once particular structure usually we do it in local coordinate system of scanner. Nevertheless when measurements are conducted for complex of several historical buildings or monuments (i.e. castle ruins, building of narrow streets of the Old Towns), the registration of point clouds into a common, global coordinate system is one of the critical steps in TLS data processing. Then we have integrate data with different accuracy level. Inner accuracy of local coordinate system (scanner system) is usually thrice higher than for global coordinate systems measurement. The paper describes the geometric quality of the direct georeferencing in post-processing, considering surveying points. Then, an analysis of factors affecting registration accuracy is proposed. Finally, an improvement of direct georeferencing technique is presented and examined. Furthermore, registered data and chosen orientation methods have been compared to each other.

  13. Develop Direct Geo-referencing System Based on Open Source Software and Hardware Platform

    Science.gov (United States)

    Liu, H. S.; Liao, H. M.

    2015-08-01

    Direct geo-referencing system uses the technology of remote sensing to quickly grasp images, GPS tracks, and camera position. These data allows the construction of large volumes of images with geographic coordinates. So that users can be measured directly on the images. In order to properly calculate positioning, all the sensor signals must be synchronized. Traditional aerial photography use Position and Orientation System (POS) to integrate image, coordinates and camera position. However, it is very expensive. And users could not use the result immediately because the position information does not embed into image. To considerations of economy and efficiency, this study aims to develop a direct geo-referencing system based on open source software and hardware platform. After using Arduino microcontroller board to integrate the signals, we then can calculate positioning with open source software OpenCV. In the end, we use open source panorama browser, panini, and integrate all these to open source GIS software, Quantum GIS. A wholesome collection of data - a data processing system could be constructed.

  14. Dual-Antenna Terrestrial Laser Scanner Georeferencing Using Auxiliary Photogrammetric Observations

    Directory of Open Access Journals (Sweden)

    Benjamin Wilkinson

    2015-09-01

    Full Text Available Terrestrial laser scanning typically requires the use of artificial targets for registration and georeferencing the data. This equipment can be burdensome to transport and set up, representing expense in both time and labor. Environmental factors such as terrain can sometimes make target placement dangerous or impossible, or lead to weak network geometry and therefore degraded product accuracy. The use of additional sensors can help reduce the required number of artificial targets and, in some cases, eliminate the need for them altogether. The research presented here extends methods for direct georeferencing of terrestrial laser scanner data using a dual GNSS antenna apparatus with additional photogrammetric observations from a scanner-mounted camera. Novel combinations of observations and processing methods were tested on data collected at two disparate sites in order to find the best method in terms of processing efficiency and product quality. In addition, a general model for the scanner and auxiliary data is given which can be used for least-squares adjustment and uncertainty estimation in similar systems with varied and diverse configurations. We found that the dual-antenna system resulted in cm-level accuracy practical for many applications and superior to conventional one-antenna systems, and that auxiliary photogrammetric observation significantly increased accuracy of the dual-antenna solution.

  15. A database of georeferenced nutrient chemistry data for mountain lakes of the Western United States

    Science.gov (United States)

    Williams, Jason; Labou, Stephanie G.

    2017-05-01

    Human activities have increased atmospheric nitrogen and phosphorus deposition rates relative to pre-industrial background. In the Western U.S., anthropogenic nutrient deposition has increased nutrient concentrations and stimulated algal growth in at least some remote mountain lakes. The Georeferenced Lake Nutrient Chemistry (GLNC) Database was constructed to create a spatially-extensive lake chemistry database needed to assess atmospheric nutrient deposition effects on Western U.S. mountain lakes. The database includes nitrogen and phosphorus water chemistry data spanning 1964-2015, with 148,336 chemistry results from 51,048 samples collected across 3,602 lakes in the Western U.S. Data were obtained from public databases, government agencies, scientific literature, and researchers, and were formatted into a consistent table structure. All data are georeferenced to a modified version of the National Hydrography Dataset Plus version 2. The database is transparent and reproducible; R code and input files used to format data are provided in an appendix. The database will likely be useful to those assessing spatial patterns of lake nutrient chemistry associated with atmospheric deposition or other environmental stressors.

  16. Direct Georeferencing : a New Standard in Photogrammetry for High Accuracy Mapping

    Science.gov (United States)

    Rizaldy, A.; Firdaus, W.

    2012-07-01

    Direct georeferencing is a new method in photogrammetry, especially in the digital camera era. Theoretically, this method does not require ground control points (GCP) and the Aerial Triangulation (AT), to process aerial photography into ground coordinates. Compared with the old method, this method has three main advantages: faster data processing, simple workflow and less expensive project, at the same accuracy. Direct georeferencing using two devices, GPS and IMU. GPS recording the camera coordinates (X, Y, Z), and IMU recording the camera orientation (omega, phi, kappa). Both parameters merged into Exterior Orientation (EO) parameter. This parameters required for next steps in the photogrammetric projects, such as stereocompilation, DSM generation, orthorectification and mosaic. Accuracy of this method was tested on topographic map project in Medan, Indonesia. Large-format digital camera Ultracam X from Vexcel is used, while the GPS / IMU is IGI AeroControl. 19 Independent Check Point (ICP) were used to determine the accuracy. Horizontal accuracy is 0.356 meters and vertical accuracy is 0.483 meters. Data with this accuracy can be used for 1:2.500 map scale project.

  17. Standardization of a geo-referenced fishing data set for the Indian Ocean bigeye tuna, Thunnus obesus (1952-2014)

    Science.gov (United States)

    Wibawa, Teja A.; Lehodey, Patrick; Senina, Inna

    2017-02-01

    Geo-referenced catch and fishing effort data of the bigeye tuna fisheries in the Indian Ocean over 1952-2014 were analyzed and standardized to facilitate population dynamics modeling studies. During this 62-year historical period of exploitation, many changes occurred both in the fishing techniques and the monitoring of activity. This study includes a series of processing steps used for standardization of spatial resolution, conversion and standardization of catch and effort units, raising of geo-referenced catch into nominal catch level, screening and correction of outliers, and detection of major catchability changes over long time series of fishing data, i.e., the Japanese longline fleet operating in the tropical Indian Ocean. A total of 30 fisheries were finally determined from longline, purse seine and other-gears data sets, from which 10 longline and 4 purse seine fisheries represented 96 % of the whole historical geo-referenced catch. Nevertheless, one-third of total nominal catch is still not included due to a total lack of geo-referenced information and would need to be processed separately, accordingly to the requirements of the study. The geo-referenced records of catch, fishing effort and associated length frequency samples of all fisheries are available at http://dx.doi.org/10.1594/PANGAEA.864154" target="_blank">doi:10.1594/PANGAEA.864154.

  18. Georeferencing UAS Derivatives Through Point Cloud Registration with Archived Lidar Datasets

    Science.gov (United States)

    Magtalas, M. S. L. Y.; Aves, J. C. L.; Blanco, A. C.

    2016-10-01

    Georeferencing gathered images is a common step before performing spatial analysis and other processes on acquired datasets using unmanned aerial systems (UAS). Methods of applying spatial information to aerial images or their derivatives is through onboard GPS (Global Positioning Systems) geotagging, or through tying of models through GCPs (Ground Control Points) acquired in the field. Currently, UAS (Unmanned Aerial System) derivatives are limited to meter-levels of accuracy when their generation is unaided with points of known position on the ground. The use of ground control points established using survey-grade GPS or GNSS receivers can greatly reduce model errors to centimeter levels. However, this comes with additional costs not only with instrument acquisition and survey operations, but also in actual time spent in the field. This study uses a workflow for cloud-based post-processing of UAS data in combination with already existing LiDAR data. The georeferencing of the UAV point cloud is executed using the Iterative Closest Point algorithm (ICP). It is applied through the open-source CloudCompare software (Girardeau-Montaut, 2006) on a `skeleton point cloud'. This skeleton point cloud consists of manually extracted features consistent on both LiDAR and UAV data. For this cloud, roads and buildings with minimal deviations given their differing dates of acquisition are considered consistent. Transformation parameters are computed for the skeleton cloud which could then be applied to the whole UAS dataset. In addition, a separate cloud consisting of non-vegetation features automatically derived using CANUPO classification algorithm (Brodu and Lague, 2012) was used to generate a separate set of parameters. Ground survey is done to validate the transformed cloud. An RMSE value of around 16 centimeters was found when comparing validation data to the models georeferenced using the CANUPO cloud and the manual skeleton cloud. Cloud-to-cloud distance computations of

  19. Vision-Based Unmanned Aerial Vehicle Navigation Using Geo-Referenced Information

    Science.gov (United States)

    Conte, Gianpaolo; Doherty, Patrick

    2009-12-01

    This paper investigates the possibility of augmenting an Unmanned Aerial Vehicle (UAV) navigation system with a passive video camera in order to cope with long-term GPS outages. The paper proposes a vision-based navigation architecture which combines inertial sensors, visual odometry, and registration of the on-board video to a geo-referenced aerial image. The vision-aided navigation system developed is capable of providing high-rate and drift-free state estimation for UAV autonomous navigation without the GPS system. Due to the use of image-to-map registration for absolute position calculation, drift-free position performance depends on the structural characteristics of the terrain. Experimental evaluation of the approach based on offline flight data is provided. In addition the architecture proposed has been implemented on-board an experimental UAV helicopter platform and tested during vision-based autonomous flights.

  20. Vision-Based Unmanned Aerial Vehicle Navigation Using Geo-Referenced Information

    Directory of Open Access Journals (Sweden)

    Gianpaolo Conte

    2009-01-01

    Full Text Available This paper investigates the possibility of augmenting an Unmanned Aerial Vehicle (UAV navigation system with a passive video camera in order to cope with long-term GPS outages. The paper proposes a vision-based navigation architecture which combines inertial sensors, visual odometry, and registration of the on-board video to a geo-referenced aerial image. The vision-aided navigation system developed is capable of providing high-rate and drift-free state estimation for UAV autonomous navigation without the GPS system. Due to the use of image-to-map registration for absolute position calculation, drift-free position performance depends on the structural characteristics of the terrain. Experimental evaluation of the approach based on offline flight data is provided. In addition the architecture proposed has been implemented on-board an experimental UAV helicopter platform and tested during vision-based autonomous flights.

  1. The use of open data from social media for the creation of 3D georeferenced modeling

    Science.gov (United States)

    Themistocleous, Kyriacos

    2016-08-01

    There is a great deal of open source video on the internet that is posted by users on social media sites. With the release of low-cost unmanned aerial vehicles, many hobbyists are uploading videos from different locations, especially in remote areas. Using open source data that is available on the internet, this study utilized structure to motion (SfM) as a range imaging technique to estimate 3 dimensional landscape features from 2 dimensional image sequences subtracted from video, applied image distortion correction and geo-referencing. This type of documentation may be necessary for cultural heritage sites that are inaccessible or documentation is difficult, where we can access video from Unmanned Aerial Vehicles (UAV). These 3D models can be viewed using Google Earth, create orthoimage, drawings and create digital terrain modeling for cultural heritage and archaeological purposes in remote or inaccessible areas.

  2. The influence of the in situ camera calibration for direct georeferencing of aerial imagery

    Science.gov (United States)

    Mitishita, E.; Barrios, R.; Centeno, J.

    2014-11-01

    The direct determination of exterior orientation parameters (EOPs) of aerial images via GNSS/INS technologies is an essential prerequisite in photogrammetric mapping nowadays. Although direct sensor orientation technologies provide a high degree of automation in the process due to the GNSS/INS technologies, the accuracies of the obtained results depend on the quality of a group of parameters that models accurately the conditions of the system at the moment the job is performed. One sub-group of parameters (lever arm offsets and boresight misalignments) models the position and orientation of the sensors with respect to the IMU body frame due to the impossibility of having all sensors on the same position and orientation in the airborne platform. Another sub-group of parameters models the internal characteristics of the sensor (IOP). A system calibration procedure has been recommended by worldwide studies to obtain accurate parameters (mounting and sensor characteristics) for applications of the direct sensor orientation. Commonly, mounting and sensor characteristics are not stable; they can vary in different flight conditions. The system calibration requires a geometric arrangement of the flight and/or control points to decouple correlated parameters, which are not available in the conventional photogrammetric flight. Considering this difficulty, this study investigates the feasibility of the in situ camera calibration to improve the accuracy of the direct georeferencing of aerial images. The camera calibration uses a minimum image block, extracted from the conventional photogrammetric flight, and control point arrangement. A digital Vexcel UltraCam XP camera connected to POS AV TM system was used to get two photogrammetric image blocks. The blocks have different flight directions and opposite flight line. In situ calibration procedures to compute different sets of IOPs are performed and their results are analyzed and used in photogrammetric experiments. The IOPs

  3. Methods for Georeferencing and Spectral Scaling of Remote Imagery using ArcView, ArcGIS, and ENVI

    Science.gov (United States)

    Remote sensing images can be used to support variable-rate (VR) application of material from aircraft. Geographic coordinates must be assigned to an image (georeferenced) so that the variable-rate system can determine where in the field to apply these inputs and adjust the system when a zone has bee...

  4. Accuracy Assessment of Direct Georeferencing for Photogrammetric Applications on Small Unmanned Aerial Platforms

    Science.gov (United States)

    Mian, O.; Lutes, J.; Lipa, G.; Hutton, J. J.; Gavelle, E.; Borghini, S.

    2016-03-01

    Efficient mapping from unmanned aerial platforms cannot rely on aerial triangulation using known ground control points. The cost and time of setting ground control, added to the need for increased overlap between flight lines, severely limits the ability of small VTOL platforms, in particular, to handle mapping-grade missions of all but the very smallest survey areas. Applanix has brought its experience in manned photogrammetry applications to this challenge, setting out the requirements for increasing the efficiency of mapping operations from small UAVs, using survey-grade GNSS-Inertial technology to accomplish direct georeferencing of the platform and/or the imaging payload. The Direct Mapping Solution for Unmanned Aerial Vehicles (DMS-UAV) is a complete and ready-to-integrate OEM solution for Direct Georeferencing (DG) on unmanned aerial platforms. Designed as a solution for systems integrators to create mapping payloads for UAVs of all types and sizes, the DMS produces directly georeferenced products for any imaging payload (visual, LiDAR, infrared, multispectral imaging, even video). Additionally, DMS addresses the airframe's requirements for high-accuracy position and orientation for such tasks as precision RTK landing and Precision Orientation for Air Data Systems (ADS), Guidance and Control. This paper presents results using a DMS comprised of an Applanix APX-15 UAV with a Sony a7R camera to produce highly accurate orthorectified imagery without Ground Control Points on a Microdrones md4-1000 platform conducted by Applanix and Avyon. APX-15 UAV is a single-board, small-form-factor GNSS-Inertial system designed for use on small, lightweight platforms. The Sony a7R is a prosumer digital RGB camera sensor, with a 36MP, 4.9-micron CCD producing images at 7360 columns by 4912 rows. It was configured with a 50mm AF-S Nikkor f/1.8 lens and subsequently with a 35mm Zeiss Sonnar T* FE F2.8 lens. Both the camera/lens combinations and the APX-15 were mounted to a

  5. Accuracy analysis of direct georeferenced UAV images utilising low-cost navigation sensors

    Science.gov (United States)

    Briese, Christian; Wieser, Martin; Verhoeven, Geert; Glira, Philipp; Doneus, Michael; Pfeifer, Norbert

    2014-05-01

    Unmanned aerial vehicles (UAVs), also known as unmanned airborne systems (UAS) or remotely piloted airborne systems (RPAS), are an established platform for close range airborne photogrammetry. Compared to manned platforms, the acquisition of local remote sensing data by UAVs is a convenient and very flexible option. For the application in photogrammetry UAVs are typically equipped with an autopilot and a lightweight digital camera. The autopilot includes several navigation sensors, which might allow an automated waypoint flight and offer a systematic data acquisition of the object resp. scene of interest. Assuming a sufficient overlap between the captured images, the position (3 coordinates: x, y, z) and the orientation (3 angles: roll, pitch, yaw) of the images can be estimated within a bundle block adjustment. Subsequently, coordinates of observed points that appear in at least two images, can be determined by measuring their image coordinates or a dense surface model can be generated from all acquired images by automated image matching. For the bundle block adjustment approximate values of the position and the orientation of the images are needed. To gather this information, several methods exist. We introduce in this contribution one of them: the direct georeferencing of images by using the navigation sensors (mainly GNSS and INS) of a low-cost on-board autopilot. Beside automated flights, the autopilot offers the possibility to record the position and the orientation of the platform during the flight. These values don't correspond directly to those of the images. To compute the position and the orientation of the images two requirements must be fulfilled. First the misalignment angles and the positional differences between the camera and the autopilot must be determined (mounting calibration). Second the synchronization between the camera and the autopilot has to be established. Due to the limited accuracy of the navigation sensors, a small number of ground

  6. Web-GIS approach for integrated analysis of heterogeneous georeferenced data

    Science.gov (United States)

    Okladnikov, Igor; Gordov, Evgeny; Titov, Alexander; Shulgina, Tamara

    2014-05-01

    Georeferenced datasets are currently actively used for modeling, interpretation and forecasting of climatic and ecosystem changes on different spatial and temporal scales [1]. Due to inherent heterogeneity of environmental datasets as well as their huge size (up to tens terabytes for a single dataset) a special software supporting studies in the climate and environmental change areas is required [2]. Dedicated information-computational system for integrated analysis of heterogeneous georeferenced climatological and meteorological data is presented. It is based on combination of Web and GIS technologies according to Open Geospatial Consortium (OGC) standards, and involves many modern solutions such as object-oriented programming model, modular composition, and JavaScript libraries based on GeoExt library (http://www.geoext.org), ExtJS Framework (http://www.sencha.com/products/extjs) and OpenLayers software (http://openlayers.org). The main advantage of the system lies in it's capability to perform integrated analysis of time series of georeferenced data obtained from different sources (in-situ observations, model results, remote sensing data) and to combine the results in a single map [3, 4] as WMS and WFS layers in a web-GIS application. Also analysis results are available for downloading as binary files from the graphical user interface or can be directly accessed through web mapping (WMS) and web feature (WFS) services for a further processing by the user. Data processing is performed on geographically distributed computational cluster comprising data storage systems and corresponding computational nodes. Several geophysical datasets represented by NCEP/NCAR Reanalysis II, JMA/CRIEPI JRA-25 Reanalysis, ECMWF ERA-40 Reanalysis, ECMWF ERA Interim Reanalysis, MRI/JMA APHRODITE's Water Resources Project Reanalysis, DWD Global Precipitation Climatology Centre's data, GMAO Modern Era-Retrospective analysis for Research and Applications, reanalysis of Monitoring

  7. Automatic Georeferencing of Astronaut Auroral Photography: Providing a New Dataset for Space Physics

    Science.gov (United States)

    Riechert, Maik; Walsh, Andrew P.; Taylor, Matt

    2014-05-01

    Astronauts aboard the International Space Station (ISS) have taken tens of thousands of photographs showing the aurora in high temporal and spatial resolution. The use of these images in research though is limited as they often miss accurate pointing and scale information. In this work we develop techniques and software libraries to automatically georeference such images, and provide a time and location-searchable database and website of those images. Aurora photographs very often include a visible starfield due to the necessarily long camera exposure times. We extend on the proof-of-concept of Walsh et al. (2012) who used starfield recognition software, Astrometry.net, to reconstruct the pointing and scale information. Previously a manual pre-processing step, the starfield can now in most cases be separated from earth and spacecraft structures successfully using image recognition. Once the pointing and scale of an image are known, latitudes and longitudes can be calculated for each pixel corner for an assumed auroral emission height. As part of this work, an open-source Python library is developed which automates the georeferencing process and aids in visualization tasks. The library facilitates the resampling of the resulting data from an irregular to a regular coordinate grid in a given pixel per degree density, it supports the export of data in CDF and NetCDF formats, and it generates polygons for drawing graphs and stereographic maps. In addition, the THEMIS all-sky imager web archive has been included as a first transparently accessible imaging source which in this case is useful when drawing maps of ISS passes over North America. The database and website are in development and will use the Python library as their base. Through this work, georeferenced auroral ISS photography is made available as a continously extended and easily accessible dataset. This provides potential not only for new studies on the aurora australis, as there are few all-sky imagers in

  8. Georeferenced measurement of soil EC as a tool to detect susceptible areas to water erosion.

    Science.gov (United States)

    Fabian Sallesses, Leonardo; Aparicio, Virginia Carolina; Costa, Jose Luis

    2017-04-01

    The Southeast region of Buenos Aires Province, Argentina, is one of the main region for the cultivation of potato (Solanum tuberosum L.) in that country. The implementation of complementary irrigation for potato cultivation meant an increase in yield of up to 60%. Therefore, all potato production in the region is under irrigation. In this way, the area under central pivot irrigation has increased to 150% in the last two decades. The water used for irrigation in that region is underground with a high concentration of sodium bicarbonate. The combination of irrigation and rain increases the sodium absorption ratio of soil (SARs), consequently raising the clay dispersion and reducing infiltration. A reduction in infiltration means greater partitioning of precipitation into runoff. The degree of slope of the terrain, added to its length, increases the erosive potential of runoff water. The content of dissolved salts, in combination with the water content, affect the apparent Electrical Conductivity of the soil (EC), which is directly related to the concentration of Na + 2 in the soil solution. In August 2016, severe rill erosion was detected in a productive plot of 300 ha. The predecessor crop was a potato under irrigation campaign. However the history of the lot consists of various winter and summer crops, always made in dry land and no till. Cumulative rainfall from harvest to erosion detection (four months) was 250 mm. A georeferenced EC measurement was performed using the Verys 3100® contact sensor. With the data obtained, a geostatistical analysis was performed using Kriging spatial interpolation. The maps obtained were processed, dividing them into 4 EC ranges. The values and amplitude of the CEa ranges for each lot were determined according to the distribution observed in the generated histograms. It was observed a distribution of elevated EC ranges and consequently of a higher concentration of Na+ 2 coincident with the irrigation areas of the pivots. These

  9. The development of an UAV borne direct georeferenced photogrammetric platform for Ground Control Point free applications.

    Science.gov (United States)

    Chiang, Kai-Wei; Tsai, Meng-Lun; Chu, Chien-Hsun

    2012-01-01

    To facilitate applications such as environment detection or disaster monitoring, the development of rapid low cost systems for collecting near real time spatial information is very critical. Rapid spatial information collection has become an emerging trend for remote sensing and mapping applications. In this study, a fixed-wing Unmanned Aerial Vehicle (UAV)-based spatial information acquisition platform that can operate in Ground Control Point (GCP) free environments is developed and evaluated. The proposed UAV based photogrammetric platform has a Direct Georeferencing (DG) module that includes a low cost Micro Electro Mechanical Systems (MEMS) Inertial Navigation System (INS)/Global Positioning System (GPS) integrated system. The DG module is able to provide GPS single frequency carrier phase measurements for differential processing to obtain sufficient positioning accuracy. All necessary calibration procedures are implemented. Ultimately, a flight test is performed to verify the positioning accuracy in DG mode without using GCPs. The preliminary results of positioning accuracy in DG mode illustrate that horizontal positioning accuracies in the x and y axes are around 5 m at 300 m flight height above the ground. The positioning accuracy of the z axis is below 10 m. Therefore, the proposed platform is relatively safe and inexpensive for collecting critical spatial information for urgent response such as disaster relief and assessment applications where GCPs are not available.

  10. Georeferencing in Gnss-Challenged Environment: Integrating Uwb and Imu Technologies

    Science.gov (United States)

    Toth, C. K.; Koppanyi, Z.; Navratil, V.; Grejner-Brzezinska, D.

    2017-05-01

    Acquiring geospatial data in GNSS compromised environments remains a problem in mapping and positioning in general. Urban canyons, heavily vegetated areas, indoor environments represent different levels of GNSS signal availability from weak to no signal reception. Even outdoors, with multiple GNSS systems, with an ever-increasing number of satellites, there are many situations with limited or no access to GNSS signals. Independent navigation sensors, such as IMU can provide high-data rate information but their initial accuracy degrades quickly, as the measurement data drift over time unless positioning fixes are provided from another source. At The Ohio State University's Satellite Positioning and Inertial Navigation (SPIN) Laboratory, as one feasible solution, Ultra- Wideband (UWB) radio units are used to aid positioning and navigating in GNSS compromised environments, including indoor and outdoor scenarios. Here we report about experiences obtained with georeferencing a pushcart based sensor system under canopied areas. The positioning system is based on UWB and IMU sensor integration, and provides sensor platform orientation for an electromagnetic inference (EMI) sensor. Performance evaluation results are provided for various test scenarios, confirming acceptable results for applications where high accuracy is not required.

  11. Web based tools for data manipulation, visualisation and validation with interactive georeferenced graphs

    Science.gov (United States)

    Ivankovic, D.; Dadic, V.

    2009-04-01

    Some of oceanographic parameters have to be manually inserted into database; some (for example data from CTD probe) are inserted from various files. All this parameters requires visualization, validation and manipulation from research vessel or scientific institution, and also public presentation. For these purposes is developed web based system, containing dynamic sql procedures and java applets. Technology background is Oracle 10g relational database, and Oracle application server. Web interfaces are developed using PL/SQL stored database procedures (mod PL/SQL). Additional parts for data visualization include use of Java applets and JavaScript. Mapping tool is Google maps API (javascript) and as alternative java applet. Graph is realized as dynamically generated web page containing java applet. Mapping tool and graph are georeferenced. That means that click on some part of graph, automatically initiate zoom or marker onto location where parameter was measured. This feature is very useful for data validation. Code for data manipulation and visualization are partially realized with dynamic SQL and that allow as to separate data definition and code for data manipulation. Adding new parameter in system requires only data definition and description without programming interface for this kind of data.

  12. Obesity and fast food in urban markets: a new approach using geo-referenced micro data.

    Science.gov (United States)

    Chen, Susan Elizabeth; Florax, Raymond J; Snyder, Samantha D

    2013-07-01

    This paper presents a new method of assessing the relationship between features of the built environment and obesity, particularly in urban areas. Our empirical application combines georeferenced data on the location of fast-food restaurants with data about personal health, behavioral, and neighborhood characteristics. We define a 'local food environment' for every individual utilizing buffers around a person's home address. Individual food landscapes are potentially endogenous because of spatial sorting of the population and food outlets, and the body mass index (BMI) values for individuals living close to each other are likely to be spatially correlated because of observed and unobserved individual and neighborhood effects. The potential biases associated with endogeneity and spatial correlation are handled using spatial econometric estimation techniques. Our application provides quantitative estimates of the effect of proximity to fast-food restaurants on obesity in an urban food market. We also present estimates of a policy simulation that focuses on reducing the density of fast-food restaurants in urban areas. In the simulations, we account for spatial heterogeneity in both the policy instruments and individual neighborhoods and find a small effect for the hypothesized relationships between individual BMI values and the density of fast-food restaurants.

  13. GEO-REFERENCED MAPPING USING AN AIRBORNE 3D TIME-OF-FLIGHT CAMERA

    Directory of Open Access Journals (Sweden)

    T. K. Kohoutek

    2012-09-01

    Full Text Available This paper presents the first experience of a close range bird's eye view photogrammetry with range imaging (RIM sensors for the real time generation of high resolution geo-referenced 3D surface models. The aim of this study was to develop a mobile, versatile and less costly outdoor survey methodology to measure natural surfaces compared to the terrestrial laser scanning (TLS. Two commercial RIM cameras (SR4000 by MESA Imaging AG and a CamCube 2.0 by PMDTechnologies GmbH were mounted on a lightweight crane and on an unmanned aerial vehicle (UAV. The field experiments revealed various challenges in real time deployment of the two state-of-the-art RIM systems, e.g. processing of the large data volume. Acquisition strategy and data processing and first measurements are presented. The precision of the measured distances is less than 1 cm for good conditions. However, the measurement precision degraded under the test conditions due to direct sunlight, strong illumination contrasts and helicopter vibrations.

  14. Geopan AT@S: a Brokering Based Gateway to Georeferenced Historical Maps for Risk Analysis

    Science.gov (United States)

    Previtali, M.

    2017-08-01

    Importance of ancient and historical maps is nowadays recognized in many applications (e.g., urban planning, landscape valorisation and preservation, land changes identification, etc.). In the last years a great effort has been done by different institutions, such as Geographical Institutes, Public Administrations, and collaborative communities, for digitizing and publishing online collections of historical maps. In spite of this variety and availability of data, information overload makes difficult their discovery and management: without knowing the specific repository where the data are stored, it is difficult to find the information required. In addition, problems of interconnection between different data sources and their restricted interoperability may arise. This paper describe a new brokering based gateway developed to assure interoperability between data, in particular georeferenced historical maps and geographic data, gathered from different data providers, with various features and referring to different historical periods. The developed approach is exemplified by a new application named GeoPAN Atl@s that is aimed at linking in Northern Italy area land changes with risk analysis (local seismicity amplification and flooding risk) by using multi-temporal data sources and historic maps.

  15. THE DIRECT GEOREFERENCING APPLICATION AND PERFORMANCE ANALYSIS OF UAV HELICOPTER IN GCP-FREE AREA

    Directory of Open Access Journals (Sweden)

    C. F. Lo

    2015-08-01

    Full Text Available There are many disasters happened because the weather changes extremely in these years. To facilitate applications such as environment detection or monitoring becomes very important. Therefore, the development of rapid low cost systems for collecting near real-time spatial information is very critical. Rapid spatial information collection has become an emerging trend for remote sensing and mapping applications. This study develops a Direct Georeferencing (DG based Unmanned Aerial Vehicle (UAV helicopter photogrammetric platform where an Inertial Navigation System (INS/Global Navigation Satellite System (GNSS integrated Positioning and Orientation System (POS system is implemented to provide the DG capability of the platform. The performance verification indicates that the proposed platform can capture aerial images successfully. A flight test is performed to verify the positioning accuracy in DG mode without using Ground Control Points (GCP. The preliminary results illustrate that horizontal DG positioning accuracies in the x and y axes are around 5 meter with 100 meter flight height. The positioning accuracy in the z axis is less than 10 meter. Such accuracy is good for near real-time disaster relief. The DG ready function of proposed platform guarantees mapping and positioning capability even in GCP free environments, which is very important for rapid urgent response for disaster relief. Generally speaking, the data processing time for the DG module, including POS solution generalization, interpolation, Exterior Orientation Parameters (EOP generation, and feature point measurements, is less than 1 hour.

  16. Georeferenced Scanning System to Estimate the Leaf Wall Area in Tree Crops

    Directory of Open Access Journals (Sweden)

    Ignacio del-Moral-Martínez

    2015-04-01

    Full Text Available This paper presents the use of a terrestrial light detection and ranging (LiDAR system to scan the vegetation of tree crops to estimate the so-called pixelated leaf wall area (PLWA. Scanning rows laterally and considering only the half-canopy vegetation to the line of the trunks, PLWA refers to the vertical projected area without gaps detected by LiDAR. As defined, PLWA may be different depending on the side from which the LiDAR is applied. The system is completed by a real-time kinematic global positioning system (RTK-GPS sensor and an inertial measurement unit (IMU sensor for positioning. At the end, a total leaf wall area (LWA is computed and assigned to the X, Y position of each vertical scan. The final value of the area depends on the distance between two consecutive scans (or horizontal resolution, as well as the number of intercepted points within each scan, since PLWA is only computed when the laser beam detects vegetation. To verify system performance, tests were conducted related to the georeferencing task and synchronization problems between GPS time and central processing unit (CPU time. Despite this, the overall accuracy of the system is generally acceptable. The Leaf Area Index (LAI can then be estimated using PLWA as an explanatory variable in appropriate linear regression models.

  17. Georeferenced scanning system to estimate the leaf wall area in tree crops.

    Science.gov (United States)

    del-Moral-Martínez, Ignacio; Arnó, Jaume; Escolà, Alexandre; Sanz, Ricardo; Masip-Vilalta, Joan; Company-Messa, Joaquim; Rosell-Polo, Joan R

    2015-04-10

    This paper presents the use of a terrestrial light detection and ranging (LiDAR) system to scan the vegetation of tree crops to estimate the so-called pixelated leaf wall area (PLWA). Scanning rows laterally and considering only the half-canopy vegetation to the line of the trunks, PLWA refers to the vertical projected area without gaps detected by LiDAR. As defined, PLWA may be different depending on the side from which the LiDAR is applied. The system is completed by a real-time kinematic global positioning system (RTK-GPS) sensor and an inertial measurement unit (IMU) sensor for positioning. At the end, a total leaf wall area (LWA) is computed and assigned to the X, Y position of each vertical scan. The final value of the area depends on the distance between two consecutive scans (or horizontal resolution), as well as the number of intercepted points within each scan, since PLWA is only computed when the laser beam detects vegetation. To verify system performance, tests were conducted related to the georeferencing task and synchronization problems between GPS time and central processing unit (CPU) time. Despite this, the overall accuracy of the system is generally acceptable. The Leaf Area Index (LAI) can then be estimated using PLWA as an explanatory variable in appropriate linear regression models.

  18. The Development of an UAV Borne Direct Georeferenced Photogrammetric Platform for Ground Control Point Free Applications

    Directory of Open Access Journals (Sweden)

    Chien-Hsun Chu

    2012-07-01

    Full Text Available To facilitate applications such as environment detection or disaster monitoring, the development of rapid low cost systems for collecting near real time spatial information is very critical. Rapid spatial information collection has become an emerging trend for remote sensing and mapping applications. In this study, a fixed-wing Unmanned Aerial Vehicle (UAV-based spatial information acquisition platform that can operate in Ground Control Point (GCP free environments is developed and evaluated. The proposed UAV based photogrammetric platform has a Direct Georeferencing (DG module that includes a low cost Micro Electro Mechanical Systems (MEMS Inertial Navigation System (INS/ Global Positioning System (GPS integrated system. The DG module is able to provide GPS single frequency carrier phase measurements for differential processing to obtain sufficient positioning accuracy. All necessary calibration procedures are implemented. Ultimately, a flight test is performed to verify the positioning accuracy in DG mode without using GCPs. The preliminary results of positioning accuracy in DG mode illustrate that horizontal positioning accuracies in the x and y axes are around 5 m at 300 m flight height above the ground. The positioning accuracy of the z axis is below 10 m. Therefore, the proposed platform is relatively safe and inexpensive for collecting critical spatial information for urgent response such as disaster relief and assessment applications where GCPs are not available.

  19. GEOREFERENCING IN GNSS-CHALLENGED ENVIRONMENT: INTEGRATING UWB AND IMU TECHNOLOGIES

    Directory of Open Access Journals (Sweden)

    C. K. Toth

    2017-05-01

    Full Text Available Acquiring geospatial data in GNSS compromised environments remains a problem in mapping and positioning in general. Urban canyons, heavily vegetated areas, indoor environments represent different levels of GNSS signal availability from weak to no signal reception. Even outdoors, with multiple GNSS systems, with an ever-increasing number of satellites, there are many situations with limited or no access to GNSS signals. Independent navigation sensors, such as IMU can provide high-data rate information but their initial accuracy degrades quickly, as the measurement data drift over time unless positioning fixes are provided from another source. At The Ohio State University’s Satellite Positioning and Inertial Navigation (SPIN Laboratory, as one feasible solution, Ultra- Wideband (UWB radio units are used to aid positioning and navigating in GNSS compromised environments, including indoor and outdoor scenarios. Here we report about experiences obtained with georeferencing a pushcart based sensor system under canopied areas. The positioning system is based on UWB and IMU sensor integration, and provides sensor platform orientation for an electromagnetic inference (EMI sensor. Performance evaluation results are provided for various test scenarios, confirming acceptable results for applications where high accuracy is not required.

  20. Low aerial imagery - an assessment of georeferencing errors and the potential for use in environmental inventory

    Science.gov (United States)

    Smaczyński, Maciej; Medyńska-Gulij, Beata

    2017-06-01

    Unmanned aerial vehicles are increasingly being used in close range photogrammetry. Real-time observation of the Earth's surface and the photogrammetric images obtained are used as material for surveying and environmental inventory. The following study was conducted on a small area (approximately 1 ha). In such cases, the classical method of topographic mapping is not accurate enough. The geodetic method of topographic surveying, on the other hand, is an overly precise measurement technique for the purpose of inventorying the natural environment components. The author of the following study has proposed using the unmanned aerial vehicle technology and tying in the obtained images to the control point network established with the aid of GNSS technology. Georeferencing the acquired images and using them to create a photogrammetric model of the studied area enabled the researcher to perform calculations, which yielded a total root mean square error below 9 cm. The performed comparison of the real lengths of the vectors connecting the control points and their lengths calculated on the basis of the photogrammetric model made it possible to fully confirm the RMSE calculated and prove the usefulness of the UAV technology in observing terrain components for the purpose of environmental inventory. Such environmental components include, among others, elements of road infrastructure, green areas, but also changes in the location of moving pedestrians and vehicles, as well as other changes in the natural environment that are not registered on classical base maps or topographic maps.

  1. An Imaging Sensor-Aided Vision Navigation Approach that Uses a Geo-Referenced Image Database

    Directory of Open Access Journals (Sweden)

    Yan Li

    2016-01-01

    Full Text Available In determining position and attitude, vision navigation via real-time image processing of data collected from imaging sensors is advanced without a high-performance global positioning system (GPS and an inertial measurement unit (IMU. Vision navigation is widely used in indoor navigation, far space navigation, and multiple sensor-integrated mobile mapping. This paper proposes a novel vision navigation approach aided by imaging sensors and that uses a high-accuracy geo-referenced image database (GRID for high-precision navigation of multiple sensor platforms in environments with poor GPS. First, the framework of GRID-aided vision navigation is developed with sequence images from land-based mobile mapping systems that integrate multiple sensors. Second, a highly efficient GRID storage management model is established based on the linear index of a road segment for fast image searches and retrieval. Third, a robust image matching algorithm is presented to search and match a real-time image with the GRID. Subsequently, the image matched with the real-time scene is considered to calculate the 3D navigation parameter of multiple sensor platforms. Experimental results show that the proposed approach retrieves images efficiently and has navigation accuracies of 1.2 m in a plane and 1.8 m in height under GPS loss in 5 min and within 1500 m.

  2. Seamless Positioning and Navigation by Using Geo-Referenced Images and Multi-Sensor Data

    Directory of Open Access Journals (Sweden)

    Tao Li

    2013-07-01

    Full Text Available Ubiquitous positioning is considered to be a highly demanding application for today’s Location-Based Services (LBS. While satellite-based navigation has achieved great advances in the past few decades, positioning and navigation in indoor scenarios and deep urban areas has remained a challenging topic of substantial research interest. Various strategies have been adopted to fill this gap, within which vision-based methods have attracted growing attention due to the widespread use of cameras on mobile devices. However, current vision-based methods using image processing have yet to revealed their full potential for navigation applications and are insufficient in many aspects. Therefore in this paper, we present a hybrid image-based positioning system that is intended to provide seamless position solution in six degrees of freedom (6DoF for location-based services in both outdoor and indoor environments. It mainly uses visual sensor input to match with geo-referenced images for image-based positioning resolution, and also takes advantage of multiple onboard sensors, including the built-in GPS receiver and digital compass to assist visual methods. Experiments demonstrate that such a system can greatly improve the position accuracy for areas where the GPS signal is negatively affected (such as in urban canyons, and it also provides excellent position accuracy for indoor environments.

  3. Seamless positioning and navigation by using geo-referenced images and multi-sensor data.

    Science.gov (United States)

    Li, Xun; Wang, Jinling; Li, Tao

    2013-07-12

    Ubiquitous positioning is considered to be a highly demanding application for today's Location-Based Services (LBS). While satellite-based navigation has achieved great advances in the past few decades, positioning and navigation in indoor scenarios and deep urban areas has remained a challenging topic of substantial research interest. Various strategies have been adopted to fill this gap, within which vision-based methods have attracted growing attention due to the widespread use of cameras on mobile devices. However, current vision-based methods using image processing have yet to revealed their full potential for navigation applications and are insufficient in many aspects. Therefore in this paper, we present a hybrid image-based positioning system that is intended to provide seamless position solution in six degrees of freedom (6DoF) for location-based services in both outdoor and indoor environments. It mainly uses visual sensor input to match with geo-referenced images for image-based positioning resolution, and also takes advantage of multiple onboard sensors, including the built-in GPS receiver and digital compass to assist visual methods. Experiments demonstrate that such a system can greatly improve the position accuracy for areas where the GPS signal is negatively affected (such as in urban canyons), and it also provides excellent position accuracy for indoor environments.

  4. An Imaging Sensor-Aided Vision Navigation Approach that Uses a Geo-Referenced Image Database.

    Science.gov (United States)

    Li, Yan; Hu, Qingwu; Wu, Meng; Gao, Yang

    2016-01-28

    In determining position and attitude, vision navigation via real-time image processing of data collected from imaging sensors is advanced without a high-performance global positioning system (GPS) and an inertial measurement unit (IMU). Vision navigation is widely used in indoor navigation, far space navigation, and multiple sensor-integrated mobile mapping. This paper proposes a novel vision navigation approach aided by imaging sensors and that uses a high-accuracy geo-referenced image database (GRID) for high-precision navigation of multiple sensor platforms in environments with poor GPS. First, the framework of GRID-aided vision navigation is developed with sequence images from land-based mobile mapping systems that integrate multiple sensors. Second, a highly efficient GRID storage management model is established based on the linear index of a road segment for fast image searches and retrieval. Third, a robust image matching algorithm is presented to search and match a real-time image with the GRID. Subsequently, the image matched with the real-time scene is considered to calculate the 3D navigation parameter of multiple sensor platforms. Experimental results show that the proposed approach retrieves images efficiently and has navigation accuracies of 1.2 m in a plane and 1.8 m in height under GPS loss in 5 min and within 1500 m.

  5. The applications of geo-referenced data visualization technologies for GIS

    Science.gov (United States)

    Liu, Jie; Wang, Jiechen; Zhou, Yuji

    2007-06-01

    Geo-referenced data visualization is one of the most important components of geographic information systems. Over the past several years, geospatial data are growing much more in size and complexity than ever before, and researchers are engaged in doing a lot of works to visualize these diverse geospatial data by taking advantage of computer graphics which helps to convey information and amplify cognition and makes possible for more powerful participating exploration and discovery experience. This paper will discuss the related works on visualization for GIS. The first chapter of this paper is an introduction which will present an overview. In the second chapter, we will talk about the geo-virtual environment which closely related to the virtual reality concept. We will focus on representation of urban models, terrain rendering algorithms, and the problems we currently face. For the third part, we will talk about two young but promising fields, which are scientific visualization and information visualization. The brief history and the research issues of these two disciplines will be the main topic. Finally, we will make a outlook on the future works about human-computer interaction, and hardware acceleration.

  6. Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV Imagery

    Directory of Open Access Journals (Sweden)

    Arko Lucieer

    2012-05-01

    Full Text Available Sensor miniaturisation, improved battery technology and the availability of low-cost yet advanced Unmanned Aerial Vehicles (UAV have provided new opportunities for environmental remote sensing. The UAV provides a platform for close-range aerial photography. Detailed imagery captured from micro-UAV can produce dense point clouds using multi-view stereopsis (MVS techniques combining photogrammetry and computer vision. This study applies MVS techniques to imagery acquired from a multi-rotor micro-UAV of a natural coastal site in southeastern Tasmania, Australia. A very dense point cloud ( < 1–3 cm point spacing is produced in an arbitrary coordinate system using full resolution imagery, whereas other studies usually downsample the original imagery. The point cloud is sparse in areas of complex vegetation and where surfaces have a homogeneous texture. Ground control points collected with Differential Global Positioning System (DGPS are identified and used for georeferencing via a Helmert transformation. This study compared georeferenced point clouds to a Total Station survey in order to assess and quantify their geometric accuracy. The results indicate that a georeferenced point cloud accurate to 25–40 mm can be obtained from imagery acquired from 50 m. UAV-based image capture provides the spatial and temporal resolution required to map and monitor natural landscapes. This paper assesses the accuracy of the generated point clouds based on field survey points. Based on our key findings we conclude that sub-decimetre terrain change (in this case coastal erosion can be monitored.

  7. Integrated GNSS attitude determination and positioning for direct geo-referencing.

    Science.gov (United States)

    Nadarajah, Nandakumaran; Paffenholz, Jens-André; Teunissen, Peter J G

    2014-07-17

    Direct geo-referencing is an efficient methodology for the fast acquisition of 3D spatial data. It requires the fusion of spatial data acquisition sensors with navigation sensors, such as Global Navigation Satellite System (GNSS) receivers. In this contribution, we consider an integrated GNSS navigation system to provide estimates of the position and attitude (orientation) of a 3D laser scanner. The proposed multi-sensor system (MSS) consists of multiple GNSS antennas rigidly mounted on the frame of a rotating laser scanner and a reference GNSS station with known coordinates. Precise GNSS navigation requires the resolution of the carrier phase ambiguities. The proposed method uses the multivariate constrained integer least-squares (MC-LAMBDA) method for the estimation of rotating frame ambiguities and attitude angles. MC-LAMBDA makes use of the known antenna geometry to strengthen the underlying attitude model and, hence, to enhance the reliability of rotating frame ambiguity resolution and attitude determination. The reliable estimation of rotating frame ambiguities is consequently utilized to enhance the relative positioning of the rotating frame with respect to the reference station. This integrated (array-aided) method improves ambiguity resolution, as well as positioning accuracy between the rotating frame and the reference station. Numerical analyses of GNSS data from a real-data campaign confirm the improved performance of the proposed method over the existing method. In particular, the integrated method yields reliable ambiguity resolution and reduces position standard deviation by a factor of about 0:8, matching the theoretical gain of √ 3/4 for two antennas on the rotating frame and a single antenna at the reference station.

  8. Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas

    Directory of Open Access Journals (Sweden)

    Carolina Figueiredo Freitas

    2016-01-01

    Full Text Available Abstract: Recently, Brazil has hosted mass events with recognized international relevance. The 2014 FIFA World Cup was held in 12 Brazilian state capitals and health sector preparedness drew on the history of other World Cups and Brazil's own experience with the 2013 FIFA Confederations Cup. The current article aims to analyze the treatment capacity of hospital facilities in georeferenced areas for sports events in the 2016 Olympic Games in the city of Rio de Janeiro, based on a model built drawing on references from the literature. Source of data were Brazilian health databases and the Rio 2016 website. Sports venues for the Olympic Games and surrounding hospitals in a 10km radius were located by geoprocessing and designated a "health area" referring to the probable inflow of persons to be treated in case of hospital referral. Six different factors were used to calculate needs for surge and one was used to calculate needs in case of disasters (20/1,000. Hospital treatment capacity is defined by the coincidence of beds and life support equipment, namely the number of cardiac monitors (electrocardiographs and ventilators in each hospital unit. Maracanã followed by the Olympic Stadium (Engenhão and the Sambódromo would have the highest single demand for hospitalizations (1,572, 1,200 and 600, respectively. Hospital treatment capacity proved capable of accommodating surges, but insufficient in cases of mass casualties. In mass events most treatments involve easy clinical management, it is expected that the current capacity will not have negative consequences for participants.

  9. Integrated GNSS Attitude Determination and Positioning for Direct Geo-Referencing

    Directory of Open Access Journals (Sweden)

    Nandakumaran Nadarajah

    2014-07-01

    Full Text Available Direct geo-referencing is an efficient methodology for the fast acquisition of 3D spatial data. It requires the fusion of spatial data acquisition sensors with navigation sensors, such as Global Navigation Satellite System (GNSS receivers. In this contribution, we consider an integrated GNSS navigation system to provide estimates of the position and attitude (orientation of a 3D laser scanner. The proposed multi-sensor system (MSS consists of multiple GNSS antennas rigidly mounted on the frame of a rotating laser scanner and a reference GNSS station with known coordinates. Precise GNSS navigation requires the resolution of the carrier phase ambiguities. The proposed method uses the multivariate constrained integer least-squares (MC-LAMBDA method for the estimation of rotating frame ambiguities and attitude angles. MC-LAMBDA makes use of the known antenna geometry to strengthen the underlying attitude model and, hence, to enhance the reliability of rotating frame ambiguity resolution and attitude determination. The reliable estimation of rotating frame ambiguities is consequently utilized to enhance the relative positioning of the rotating frame with respect to the reference station. This integrated (array-aided method improves ambiguity resolution, as well as positioning accuracy between the rotating frame and the reference station. Numerical analyses of GNSS data from a real-data campaign confirm the improved performance of the proposed method over the existing method. In particular, the integrated method yields reliable ambiguity resolution and reduces position standard deviation by a factor of about 0.8, matching the theoretical gain of 3/4 for two antennas on the rotating frame and a single antenna at the reference station.

  10. Geo-referenced modelling of metal concentrations in river basins at the catchment scale

    Science.gov (United States)

    Hüffmeyer, N.; Berlekamp, J.; Klasmeier, J.

    2009-04-01

    1. Introduction The European Water Framework Directive demands the good ecological and chemical state of surface waters [1]. This implies the reduction of unwanted metal concentrations in surface waters. To define reasonable environmental target values and to develop promising mitigation strategies a detailed exposure assessment is required. This includes the identification of emission sources and the evaluation of their effect on local and regional surface water concentrations. Point source emissions via municipal or industrial wastewater that collect metal loads from a wide variety of applications and products are important anthropogenic pathways into receiving waters. Natural background and historical influences from ore-mining activities may be another important factor. Non-point emissions occur via surface runoff and erosion from drained land area. Besides deposition metals can be deposited by fertilizer application or the use of metal products such as wires or metal fences. Surface water concentrations vary according to the emission strength of sources located nearby and upstream of the considered location. A direct link between specific emission sources and pathways on the one hand and observed concentrations can hardly be established by monitoring alone. Geo-referenced models such as GREAT-ER (Geo-referenced Regional Exposure Assessment Tool for European Rivers) deliver spatially resolved concentrations in a whole river basin and allow for evaluating the causal relationship between specific emissions and resulting concentrations. This study summarizes the results of investigations for the metals zinc and copper in three German catchments. 2. The model GREAT-ER The geo-referenced model GREAT-ER has originally been developed to simulate and assess chemical burden of European river systems from multiple emission sources [2]. Emission loads from private households and rainwater runoff are individually estimated based on average consumption figures, runoff rates

  11. Georeferencing of museum collections: A review of problems and automated tools, and the methodology developed by the Mountain and Plains Spatio-Temporal Database-Informatics Initiative (Mapstedi)

    OpenAIRE

    Murphy, Paul C.; Guralnick, Robert P.; Glaubitz, Robert; Neufeld, David; Ryan, J. Allen

    2004-01-01

    The vast majority of locality descriptions associated with biological specimens housed in natural history museums lack the geographic coordinates required for computer-based geographic analyses. Assigning such coordinates to existing specimen records is a process called retrospective georeferencing. The georeferencing of biological collections makes those collections more valuable by allowing them to be used in spatially explicit biodiversity analyses. Here we review some of the most common p...

  12. QUALITY ASSESSMENT OF COMBINED IMU/GNSS DATA FOR DIRECT GEOREFERENCING IN THE CONTEXT OF UAV-BASED MAPPING

    Directory of Open Access Journals (Sweden)

    C. Stöcker

    2017-08-01

    Full Text Available Within the past years, the development of high-quality Inertial Measurement Units (IMU and GNSS technology and dedicated RTK (Real Time Kinematic and PPK (Post-Processing Kinematic solutions for UAVs promise accurate measurements of the exterior orientation (EO parameters which allow to georeference the images. Whereas the positive impact of known precise GNSS coordinates of camera positions is already well studied, the influence of the angular observations have not been studied in depth so far. Challenges include accuracies of GNSS/IMU observations, excessive angular motion and time synchronization problems during the flight. Thus, this study assesses the final geometric accuracy using direct georeferencing with high-quality post-processed IMU/GNSS and PPK corrections. A comparison of different data processing scenarios including indirect georeferencing, integrated solutions as well as direct georeferencing provides guidance on the workability of UAV mapping approaches that require a high level of positional accuracy. In the current research the results show, that the use of the post-processed APX-15 GNSS and IMU data was particularly beneficial to enhance the image orientation quality. Horizontal accuracies within the pixel level (2.8 cm could be achieved. However, it was also shown, that the angular EO parameters are still too inaccurate to be assigned with a high weight during the image orientation process. Furthermore, detailed investigations of the EO parameters unveil that systematic sensor misalignments and offsets of the image block can be reduced by the introduction of four GCPs. In this regard, the use of PPK corrections reduces the time consuming field work to measure high quantities of GCPs and makes large-scale UAV mapping a more feasible solution for practitioners that require high geometric accuracies.

  13. Sensor Fusion of a Mobile Device to Control and Acquire Videos or Images of Coffee Branches and for Georeferencing Trees

    Directory of Open Access Journals (Sweden)

    Paula Jimena Ramos Giraldo

    2017-04-01

    Full Text Available Smartphones show potential for controlling and monitoring variables in agriculture. Their processing capacity, instrumentation, connectivity, low cost, and accessibility allow farmers (among other users in rural areas to operate them easily with applications adjusted to their specific needs. In this investigation, the integration of inertial sensors, a GPS, and a camera are presented for the monitoring of a coffee crop. An Android-based application was developed with two operating modes: (i Navigation: for georeferencing trees, which can be as close as 0.5 m from each other; and (ii Acquisition: control of video acquisition, based on the movement of the mobile device over a branch, and measurement of image quality, using clarity indexes to select the most appropriate frames for application in future processes. The integration of inertial sensors in navigation mode, shows a mean relative error of ±0.15 m, and total error ±5.15 m. In acquisition mode, the system correctly identifies the beginning and end of mobile phone movement in 99% of cases, and image quality is determined by means of a sharpness factor which measures blurriness. With the developed system, it will be possible to obtain georeferenced information about coffee trees, such as their production, nutritional state, and presence of plagues or diseases.

  14. Aerial Photography and Imagery, Ortho-Corrected, Digital Aerial Photography 1970. Limited georeferencing. See metadata for additional information., Published in 1970, 1:4800 (1in=400ft) scale, Washington County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Aerial Photography and Imagery, Ortho-Corrected dataset current as of 1970. Digital Aerial Photography 1970. Limited georeferencing. See metadata for additional...

  15. DactyLoc : A minimally geo-referenced WiFi+GSM-fingerprint-based localization method for positioning in urban spaces

    DEFF Research Database (Denmark)

    Cujia, Kristian; Wirz, Martin; Kjærgaard, Mikkel Baun

    2012-01-01

    a collaborative, semi-supervised WiFi+GSM fingerprinting method where only a small fraction of all fingerprints needs to be geo-referenced. Our approach enables indexing of areas in the absence of GPS reception as often found in urban spaces and indoors without manual labeling of fingerprints. The method takes......Fingerprinting-based localization methods relying on WiFi and GSM information provide sufficient localization accuracy for many mobile phone applications. Most of the existing approaches require a training set consisting of geo-referenced fingerprints to build a reference database. We propose...

  16. A georeferenced Agent-Based Model to analyze the climate change impacts on the Andorra winter tourism

    CERN Document Server

    Pons-Pons, M; Rosas-Casals, M; Sureda, B; Jover, E

    2011-01-01

    This study presents a georeferenced agent-based model to analyze the climate change impacts on the ski industry in Andorra and the effect of snowmaking as future adaptation strategy. The present study is the first attempt to analyze the ski industry in the Pyrenees region and will contribute to a better understanding of the vulnerability of Andorran ski resorts and the suitability of snowmaking as potential adaptation strategy to climate change. The resulting model can be used as a planning support tool to help local stakeholders understand the vulnerability and potential impacts of climate change. This model can be used in the decision-making process of designing and developing appropriate sustainable adaptation strategies to future climate variability.

  17. Geo-referencing livestock farms as tool for studying cystic echinococcosis epidemiology in cattle and water buffaloes from southern Italy

    Directory of Open Access Journals (Sweden)

    Giuseppe Cringoli

    2007-11-01

    Full Text Available Cystic echinococcosis (CE, caused by the larval stages of the tapeworm Echinococcus granulosus, is known to be one of the most important parasitic infection in livestock worldwide and one of the most widespread zoonoses known. In the present study, we used a geographical information system (GIS to study the spatial structure of livestock (cattle, water buffaloes and sheep populations to gain a better understanding of the role of sheep as reservoir for the transmission of CE to cattle and water buffaloes. To this end, a survey on CE in cattle and water buffaloes from the Campania region of southern Italy was conducted and the geo-referenced results linked to the regional farm geo-referenced data within a GIS. The results showed a noteworthy prevalence of CE in cattle and water buffalo farms (overall prevalence = 18.6%. The elaboration of the data with a GIS approach showed a close proximity of the bovine and/or water buffalo CE positive farms with the ovine farms present in the study area, thus giving important information on the significance of sheep and free-ranging canids in the transmission cycles of CE in relation to cattle and water buffaloes. The significantly higher prevalence found in cattle as compared to water buffalo farms (20.0% versus 12.4% supports the key role of sheep in the CE transmission; indeed, within the 5 km radius buffer zones constructed around the cattle farms positive for CE, a higher number of (potentially infected sheep farms were found compared to those found within the buffer zones around the water buffalo farms. Furthermore, the average distances between the sheep and cattle farms falling in the same buffer zones were significantly lower than those between the sheep and water buffalo farms. We emphasize that the use of GIS is a novel approach to further our understanding of the epidemiology and control of CE and we encourage other groups to make use of it.

  18. PLÉIADES PROJECT: ASSESSMENT OF GEOREFERENCING ACCURACY, IMAGE QUALITY, PANSHARPENING PERFORMENCE AND DSM/DTM QUALITY

    Directory of Open Access Journals (Sweden)

    H. Topan

    2016-06-01

    Full Text Available Pléiades 1A and 1B are twin optical satellites of Optical and Radar Federated Earth Observation (ORFEO program jointly running by France and Italy. They are the first satellites of Europe with sub-meter resolution. Airbus DS (formerly Astrium Geo runs a MyGIC (formerly Pléiades Users Group program to validate Pléiades images worldwide for various application purposes. The authors conduct three projects, one is within this program, the second is supported by BEU Scientific Research Project Program, and the third is supported by TÜBİTAK. Assessment of georeferencing accuracy, image quality, pansharpening performance and Digital Surface Model/Digital Terrain Model (DSM/DTM quality subjects are investigated in these projects. For these purposes, triplet panchromatic (50 cm Ground Sampling Distance (GSD and VNIR (2 m GSD Pléiades 1A images were investigated over Zonguldak test site (Turkey which is urbanised, mountainous and covered by dense forest. The georeferencing accuracy was estimated with a standard deviation in X and Y (SX, SY in the range of 0.45m by bias corrected Rational Polynomial Coefficient (RPC orientation, using ~170 Ground Control Points (GCPs. 3D standard deviation of ±0.44m in X, ±0.51m in Y, and ±1.82m in Z directions have been reached in spite of the very narrow angle of convergence by bias corrected RPC orientation. The image quality was also investigated with respect to effective resolution, Signal to Noise Ratio (SNR and blur coefficient. The effective resolution was estimated with factor slightly below 1.0, meaning that the image quality corresponds to the nominal resolution of 50cm. The blur coefficients were achieved between 0.39-0.46 for triplet panchromatic images, indicating a satisfying image quality. SNR is in the range of other comparable space borne images which may be caused by de-noising of Pléiades images. The pansharpened images were generated by various methods, and are validated by most common

  19. PLÉIADES Project: Assessment of Georeferencing Accuracy, Image Quality, Pansharpening Performence and Dsm/dtm Quality

    Science.gov (United States)

    Topan, Hüseyin; Cam, Ali; Özendi, Mustafa; Oruç, Murat; Jacobsen, Karsten; Taşkanat, Talha

    2016-06-01

    Pléiades 1A and 1B are twin optical satellites of Optical and Radar Federated Earth Observation (ORFEO) program jointly running by France and Italy. They are the first satellites of Europe with sub-meter resolution. Airbus DS (formerly Astrium Geo) runs a MyGIC (formerly Pléiades Users Group) program to validate Pléiades images worldwide for various application purposes. The authors conduct three projects, one is within this program, the second is supported by BEU Scientific Research Project Program, and the third is supported by TÜBİTAK. Assessment of georeferencing accuracy, image quality, pansharpening performance and Digital Surface Model/Digital Terrain Model (DSM/DTM) quality subjects are investigated in these projects. For these purposes, triplet panchromatic (50 cm Ground Sampling Distance (GSD)) and VNIR (2 m GSD) Pléiades 1A images were investigated over Zonguldak test site (Turkey) which is urbanised, mountainous and covered by dense forest. The georeferencing accuracy was estimated with a standard deviation in X and Y (SX, SY) in the range of 0.45m by bias corrected Rational Polynomial Coefficient (RPC) orientation, using ~170 Ground Control Points (GCPs). 3D standard deviation of ±0.44m in X, ±0.51m in Y, and ±1.82m in Z directions have been reached in spite of the very narrow angle of convergence by bias corrected RPC orientation. The image quality was also investigated with respect to effective resolution, Signal to Noise Ratio (SNR) and blur coefficient. The effective resolution was estimated with factor slightly below 1.0, meaning that the image quality corresponds to the nominal resolution of 50cm. The blur coefficients were achieved between 0.39-0.46 for triplet panchromatic images, indicating a satisfying image quality. SNR is in the range of other comparable space borne images which may be caused by de-noising of Pléiades images. The pansharpened images were generated by various methods, and are validated by most common statistical

  20. Automatic 3D relief acquisition and georeferencing of road sides by low-cost on-motion SfM

    Science.gov (United States)

    Voumard, Jérémie; Bornemann, Perrick; Malet, Jean-Philippe; Derron, Marc-Henri; Jaboyedoff, Michel

    2017-04-01

    3D terrain relief acquisition is important for a large part of geosciences. Several methods have been developed to digitize terrains, such as total station, LiDAR, GNSS or photogrammetry. To digitize road (or rail tracks) sides on long sections, mobile spatial imaging system or UAV are commonly used. In this project, we compare a still fairly new method -the SfM on-motion technics- with some traditional technics of terrain digitizing (terrestrial laser scanning, traditional SfM, UAS imaging solutions, GNSS surveying systems and total stations). The SfM on-motion technics generates 3D spatial data by photogrammetric processing of images taken from a moving vehicle. Our mobile system consists of six action cameras placed on a vehicle. Four fisheye cameras mounted on a mast on the vehicle roof are placed at 3.2 meters above the ground. Three of them have a GNNS chip providing geotagged images. Two pictures were acquired every second by each camera. 4K resolution fisheye videos were also used to extract 8.3M not geotagged pictures. All these pictures are then processed with the Agisoft PhotoScan Professional software. Results from the SfM on-motion technics are compared with results from classical SfM photogrammetry on a 500 meters long alpine track. They were also compared with mobile laser scanning data on the same road section. First results seem to indicate that slope structures are well observable up to decimetric accuracy. For the georeferencing, the planimetric (XY) accuracy of few meters is much better than the altimetric (Z) accuracy. There is indeed a Z coordinate shift of few tens of meters between GoPro cameras and Garmin camera. This makes necessary to give a greater freedom to altimetric coordinates in the processing software. Benefits of this low-cost SfM on-motion method are: 1) a simple setup to use in the field (easy to switch between vehicle types as car, train, bike, etc.), 2) a low cost and 3) an automatic georeferencing of 3D points clouds. Main

  1. Georeferencing the Large-Scale Aerial Photographs of a Great Lakes Coastal Wetland: A Modified Photogrammetric Method

    Science.gov (United States)

    Murphy, Marilyn K.; Kowalski, Kurt P.; Grapentine, Joel L.

    2010-01-01

    The geocontrol template method was developed to georeference multiple, overlapping analog aerial photographs without reliance upon conventionally obtained horizontal ground control. The method was tested as part of a long-term wetland habitat restoration project at a Lake Erie coastal wetland complex in the U.S. Fish and Wildlife Service Ottawa National Wildlife Refuge. As in most coastal wetlands, annually identifiable ground-control features required to georeference photo-interpreted data are difficult to find. The geocontrol template method relies on the following four components: (a) an uncontrolled aerial photo mosaic of the study area, (b) global positioning system (GPS) derived horizontal coordinates of each photo’s principal point, (c) a geocontrol template created by the transfer of fiducial markings and calculated principal points to clear acetate from individual photographs arranged in a mosaic, and (d) the root-mean-square-error testing of the system to ensure an acceptable level of planimetric accuracy. Once created for a study area, the geocontrol template can be registered in geographic information system (GIS) software to facilitate interpretation of multiple images without individual image registration. The geocontrol template enables precise georeferencing of single images within larger blocks of photographs using a repeatable and consistent method.

  2. Drone with thermal infrared camera provides high resolution georeferenced imagery of the Waikite geothermal area, New Zealand

    Science.gov (United States)

    Harvey, M. C.; Rowland, J. V.; Luketina, K. M.

    2016-10-01

    Drones are now routinely used for collecting aerial imagery and creating digital elevation models (DEM). Lightweight thermal sensors provide another payload option for generation of very high-resolution aerial thermal orthophotos. This technology allows for the rapid and safe survey of thermal areas, often present in inaccessible or dangerous terrain. Here we present a 2.2 km2 georeferenced, temperature-calibrated thermal orthophoto of the Waikite geothermal area, New Zealand. The image represents a mosaic of nearly 6000 thermal images captured by drone over a period of about 2 weeks. This is thought by the authors to be the first such image published of a significant geothermal area produced by a drone equipped with a thermal camera. Temperature calibration of the image allowed calculation of heat loss (43 ± 12 MW) from thermal lakes and streams in the survey area (loss from evaporation, conduction and radiation). An RGB (visible spectrum) orthomosaic photo and digital elevation model was also produced for this area, with ground resolution and horizontal position error comparable to commercially produced LiDAR and aerial imagery obtained from crewed aircraft. Our results show that thermal imagery collected by drones has the potential to become a key tool in geothermal science, including geological, geochemical and geophysical surveys, environmental baseline and monitoring studies, geotechnical studies and civil works.

  3. Low aerial imagery – an assessment of georeferencing errors and the potential for use in environmental inventory

    Directory of Open Access Journals (Sweden)

    Smaczyński Maciej

    2017-06-01

    Full Text Available Unmanned aerial vehicles are increasingly being used in close range photogrammetry. Real-time observation of the Earth’s surface and the photogrammetric images obtained are used as material for surveying and environmental inventory. The following study was conducted on a small area (approximately 1 ha. In such cases, the classical method of topographic mapping is not accurate enough. The geodetic method of topographic surveying, on the other hand, is an overly precise measurement technique for the purpose of inventorying the natural environment components. The author of the following study has proposed using the unmanned aerial vehicle technology and tying in the obtained images to the control point network established with the aid of GNSS technology. Georeferencing the acquired images and using them to create a photogrammetric model of the studied area enabled the researcher to perform calculations, which yielded a total root mean square error below 9 cm. The performed comparison of the real lengths of the vectors connecting the control points and their lengths calculated on the basis of the photogrammetric model made it possible to fully confirm the RMSE calculated and prove the usefulness of the UAV technology in observing terrain components for the purpose of environmental inventory. Such environmental components include, among others, elements of road infrastructure, green areas, but also changes in the location of moving pedestrians and vehicles, as well as other changes in the natural environment that are not registered on classical base maps or topographic maps.

  4. Computing procedure of spatial geo-referencing of satellite image; Un procedimiento simple de geo-referenciacion de imagenes de satelite

    Energy Technology Data Exchange (ETDEWEB)

    Santos, J.; Vazquez, M.; Fernandes, F.; Prado, T.; Castro, R.

    2004-07-01

    In this paper a computing procedure of spatial geo-referencing is described that, by means of the terrestrial spatial geometry, permits to obtain the Latitude and Longitude that corresponds to a given pixel of a satellite image, the pixel being defined by a pair Line- Pixel. The procedure also permits to compute the other way round. This procedure is more clear and simple than those proposed by Eumetsat and Goes and can be applied to any satellite image. (Author)

  5. Towards an Automatic Framework for Urban Settlement Mapping from Satellite Images: Applications of Geo-referenced Social Media and One Class Classification

    Science.gov (United States)

    Miao, Zelang

    2017-04-01

    Currently, urban dwellers comprise more than half of the world's population and this percentage is still dramatically increasing. The explosive urban growth over the next two decades poses long-term profound impact on people as well as the environment. Accurate and up-to-date delineation of urban settlements plays a fundamental role in defining planning strategies and in supporting sustainable development of urban settlements. In order to provide adequate data about urban extents and land covers, classifying satellite data has become a common practice, usually with accurate enough results. Indeed, a number of supervised learning methods have proven effective in urban area classification, but they usually depend on a large amount of training samples, whose collection is a time and labor expensive task. This issue becomes particularly serious when classifying large areas at the regional/global level. As an alternative to manual ground truth collection, in this work we use geo-referenced social media data. Cities and densely populated areas are an extremely fertile land for the production of individual geo-referenced data (such as GPS and social network data). Training samples derived from geo-referenced social media have several advantages: they are easy to collect, usually they are freely exploitable; and, finally, data from social media are spatially available in many locations, and with no doubt in most urban areas around the world. Despite these advantages, the selection of training samples from social media meets two challenges: 1) there are many duplicated points; 2) method is required to automatically label them as "urban/non-urban". The objective of this research is to validate automatic sample selection from geo-referenced social media and its applicability in one class classification for urban extent mapping from satellite images. The findings in this study shed new light on social media applications in the field of remote sensing.

  6. 像底点用于POS系统直接对地目标定位%Direct georeferencing by Position and Orientation System using photo nadir point

    Institute of Scientific and Technical Information of China (English)

    付建红

    2012-01-01

    Based on the geometry relation of photo nadir point and the elements of exterior angular orientation of aerial photograph , a method of solving IMU boresight misalignment by using photo nadir point was proposed to improve the direct georeferencing accuracy of POS in the paper* Tlie method was tested by a set of actual flight photograph, the experiments showed that the accuracy of direct georeferencing using POS could be improved effectively- The proposed method does not need a specific calibration field and ground control points* Therefore it would have practical application value in direct georeferencing when taking large-scale aerial photography over urban areas with POS.%根据像底点与航摄像片外方位角元素的几何关系,本文提出利用像底点求解IMU视准轴误差,以提高POS系统直接对地目标定位精度的方法,并用一组实际飞行的数据进行了试验.结果表明,该方法可有效提高POS系统直接对地目标定位的精度,而无需布设特定的检校场和地面控制点.对带POS系统的城区大比例尺航空影像对地目标定位有一定实用价值.

  7. A Geo-Label for Geo-Referenced Information as a Service for Data Users and a Tool for Facilitating Societal Benefits of Earth Observations

    Science.gov (United States)

    Plag, H.-P.

    2012-04-01

    Geo-referenced information is increasingly important for many scientific and societal applications. The availability of reliable and applicable spatial data and information is fundamental for addressing pressing problems such as food, water, and energy security; disaster risk reduction; climate change; environmental quality; pandemics; economic crises and wars; population migration; and, in a general sense, sustainability. Today, more than 70% of societal activities in developed countries depend directly or indirectly on geo-referenced information. The rapid development of analysis tools, such as Geographic Information Systems and web-based tools for viewing, accessing, and analyzing of geo-referenced information, and the growing abundance of openly available Earth observations (e.g., through the Global Earth Observation System of Systems, GEOSS) likely will increase the dependency of science and society on geo-referenced information. Increasingly, the tools allow the combination of data sets from various sources. Improvements of interoperability, promoted particularly by GEOSS, will strengthen this trend and lead to more tools for the combinations of data from different sources. What is currently lacking is a service-oriented infrastructure helping to ensure that data quality and applicability are not compromised through modifications and combinations. Most geo-referenced information comes without sufficient information on quality and applicability. The Group on Earth Observations (GEO) has embarked on establishing a so-called GEO Label that would provide easy-to-understand, globally available information on aspects of quality, user rating, relevance, and fit-for-usage of the products and services accessible through GEOSS (with the responsibility for the concept development delegated to Work Plan Task ID-03). In designing a service-oriented architecture that could support a GEO Label, it is important to understand the impact of the goals for the label on the

  8. Grand Canyon as a universally accessible virtual field trip for intro Geoscience classes using geo-referenced mobile game technology

    Science.gov (United States)

    Bursztyn, N.; Pederson, J. L.; Shelton, B.

    2012-12-01

    There is a well-documented and nationally reported trend of declining interest, poor preparedness, and lack of diversity within U.S. students pursuing geoscience and other STEM disciplines. We suggest that a primary contributing factor to this problem is that introductory geoscience courses simply fail to inspire (i.e. they are boring). Our experience leads us to believe that the hands-on, contextualized learning of field excursions are often the most impactful component of lower division geoscience classes. However, field trips are becoming increasingly more difficult to run due to logistics and liability, high-enrollments, decreasing financial and administrative support, and exclusivity of the physically disabled. Recent research suggests that virtual field trips can be used to simulate this contextualized physical learning through the use of mobile devices - technology that exists in most students' hands already. Our overarching goal is to enhance interest in introductory geoscience courses by providing the kinetic and physical learning experience of field trips through geo-referenced educational mobile games and test the hypothesis that these experiences can be effectively simulated through virtual field trips. We are doing this by developing "serious" games for mobile devices that deliver introductory geology material in a fun and interactive manner. Our new teaching strategy will enhance undergraduate student learning in the geosciences, be accessible to students of diverse backgrounds and physical abilities, and be easily incorporated into higher education programs and curricula at institutions globally. Our prototype involves students virtually navigating downstream along a scaled down Colorado River through Grand Canyon - physically moving around their campus quad, football field or other real location, using their smart phone or a tablet. As students reach the next designated location, a photo or video in Grand Canyon appears along with a geological

  9. Geo-referenced multimedia environmental fate model (G-CIEMS): model formulation and comparison to the generic model and monitoring approaches.

    Science.gov (United States)

    Suzuki, Noriyuki; Murasawa, Kaori; Sakurai, Takeo; Nansai, Keisuke; Matsuhashi, Keisuke; Moriguchi, Yuichi; Tanabe, Kiyoshi; Nakasugi, Osami; Morita, Masatoshi

    2004-11-01

    A spatially resolved and geo-referenced dynamic multimedia environmental fate model, G-CIEMS (Grid-Catchment Integrated Environmental Modeling System) was developed on a geographical information system (GIS). The case study for Japan based on the air grid cells of 5 x 5 km resolution and catchments with an average area of 9.3 km2, which corresponds to about 40,000 air grid cells and 38,000 river segments/catchment polygons, were performed for dioxins, benzene, 1,3-butadiene, and di-(2-ethyhexyl)phthalate. The averaged concentration of the model and monitoring output were within a factor of 2-3 for all the media. Outputs from G-CIEMS and the generic model were essentially comparable when identical parameters were employed, whereas the G-CIEMS model gave explicit information of distribution of chemicals in the environment. Exposure-weighted averaged concentrations (EWAC) in air were calculated to estimate the exposure ofthe population, based on the results of generic, G-CIEMS, and monitoring approaches. The G-CIEMS approach showed significantly better agreement with the monitoring-derived EWAC than the generic model approach. Implication for the use of a geo-referenced modeling approach in the risk assessment scheme is discussed as a generic-spatial approach, which can be used to provide more accurate exposure estimation with distribution information, using generally available data sources for a wide range of chemicals.

  10. Systematic Error Analysis of Direct Georeferencing for ALOS PRISM Imagery%ALOS PRISM影像直接定位的系统误差分析

    Institute of Scientific and Technical Information of China (English)

    雷蓉; 范大昭; 刘楚斌; 马秋禾

    2011-01-01

    利用ALOS PRISM影像进行直接对地定位时必须考虑系统误差的检校.从ALOS卫星PRISM传感器的成像原理出发,分析了利用严格几何模型进行定位时可能存在的系统误差;然后用3个不同的检校模型对系统误差进行校正.实验表明利用少量控制点剔除系统误差后,定位精度明显提高,在X方向达到3m左右,在Y方向和Z方向不超过2 m.%The calibration of constant error must be taken into account by using the ALOS PRISM Imagery for direct georeferencing. From the imaging theory of the ALOS PRISM sensor, the systematic errors that may be exist by using the rigorous geometric model for direct georeferencing were analyzed. Three different calibration models were used to analyze and correct the systematic errors. Experimental results showed that there were constant systematic errors existed in imagery ancillary data. Once the systematic errors are eliminated using some ground control points, the results are improved noticeably. The indices is about 3 m in X direction, better than 2 m in Y direction and Z direction.

  11. Precise georeferencing using the rigorous sensor model and rational function model for ZiYuan-3 strip scenes with minimum control

    Science.gov (United States)

    Pan, Hongbo; Tao, Chao; Zou, Zhengrong

    2016-09-01

    The rigorous sensor model (RSM) and the rational function model (RFM) are the most widely used geometric models for georeferencing. Even though geometric calibration and bundle adjustment with the RFM has been carried out for the ZiYuan-3 (ZY-3) earth observation satellite, few studies determined the major error sources affecting the three line cameras (TLCs). In this work, we propose a new set of compensation parameters, the shift and drift of both pitch and roll angle, for the RSM, since the yaw angle error is not as significant as the pitch angle for very narrow field of view images. Corresponding bias compensation methods are also validated for the RFM. Seven continuous strip scenes from the ZY-3 TLCs are used for the experiments, for which the root mean square error (RMSE) in the image space and object space are calculated. The experimental results demonstrate that the proposed method can model the major errors and achieve the same accuracy as the use of redundant parameters. With this model, the RMSEs of the checkpoints are 2.048 m in planimetry and 1.256 m in height. The RMSEs would increase to 2.522 m in planimetry and 2.635 m in height if the drift parameters were ignored. However, subpixel georeferencing accuracy is not as sensitive as the RMSE in the object space, since the RMSE of the height increases to 2.6 m compared to 1.3 m, while the change of the RMSE in the image space is within 0.1 pixels. In addition, the relationships among the TLCs are dynamic during imaging. Compensation for the TLCs as a unit introduces a height error of about 1 m, while maintaining subpixel georeferencing accuracy. Two ground control points (GCPs) placed at the beginning and the end of a strip are preferred to reduce oscillation and point picking errors. Compared with the RSM, the RFM can achieve similar accuracy when the drift compensation model and shift compensation model are applied.

  12. GPS receivers for georeferencing of spatial variability of soil attributes Receptores GPS para georreferenciamento da variabilidade espacial de atributos do solo

    Directory of Open Access Journals (Sweden)

    David L Rosalen

    2011-12-01

    Full Text Available The characterization of the spatial variability of soil attributes is essential to support agricultural practices in a sustainable manner. The use of geostatistics to characterize spatial variability of these attributes, such as soil resistance to penetration (RP and gravimetric soil moisture (GM is now usual practice in precision agriculture. The result of geostatistical analysis is dependent on the sample density and other factors according to the georeferencing methodology used. Thus, this study aimed to compare two methods of georeferencing to characterize the spatial variability of RP and GM as well as the spatial correlation of these variables. Sampling grid of 60 points spaced 20 m was used. For RP measurements, an electronic penetrometer was used and to determine the GM, a Dutch auger (0.0-0.1 m depth was used. The samples were georeferenced using a GPS navigation receiver, Simple Point Positioning (SPP with navigation GPS receiver, and Semi-Kinematic Relative Positioning (SKRP with an L1 geodetic GPS receiver. The results indicated that the georeferencing conducted by PPS did not affect the characterization of spatial variability of RP or GM, neither the spatial structure relationship of these attributes.A caracterização da variabilidade espacial dos atributos do solo é indispensável para subsidiar práticas agrícolas de maneira sustentável. A utilização da geoestatística para caracterizar a variabilidade espacial desses atributos, como a resistência mecânica do solo à penetração (RP e a umidade gravimétrica do solo (UG, é, hoje, prática usual na agricultura de precisão. O resultado da análise geoestatística é dependente da densidade amostral e de outros fatores, como o método de georreferencimento utilizado. Desta forma, o presente trabalho teve como objetivo comparar dois métodos de georreferenciamento para a caracterização da variabilidade espacial da RP e da UG, bem como a correlação espacial dessas vari

  13. Evaluation of georeferencing methods with respect to their suitability to address unsimilarity between the image to be referenced and the reference image

    Science.gov (United States)

    Brüstle, Stefan; Erdnüß, Bastian

    2016-10-01

    In recent years, operational costs of unmanned aircraft systems (UAS) have been massively decreasing. New sensors satisfying weight and size restrictions of even small UAS cover many different spectral ranges and spatial resolutions. This results in airborne imagery having become more and more available. Such imagery is used to address many different tasks in various fields of application. For many of those tasks, not only the content of the imagery itself is of interest, but also its spatial location. This requires the imagery to be properly georeferenced. Many UAS have an integrated GPS receiver together with some kind of INS device acquiring the sensor orientation to provide the georeference. However, both GPS and INS data can easily become unavailable for a period of time during a flight, e.g. due to sensor malfunction, transmission problems or jamming. Imagery gathered during such times lacks georeference. Moreover, even in datasets not affected by such problems, GPS and INS inaccuracies together with a potentially poor knowledge of ground elevation can render location information accuracy less than sufficient for a given task. To provide or improve the georeference of an image affected by this, an image to reference registration can be performed if a suitable reference is available, e.g. a georeferenced orthophoto covering the area of the image to be georeferenced. Registration and thus georeferencing is achieved by determining a transformation between the image to be referenced and the reference which maximizes the coincidence of relevant structures present both in the former and the latter. Many methods have been developed to accomplish this task. Regardless of their differences they usually tend to perform the better the more similar an image and a reference are in appearance. This contribution evaluates a selection of such methods all differing in the type of structure they use for the assessment of coincidence with respect to their ability to tolerate

  14. DIRECT GEOREFERENCING ON SMALL UNMANNED AERIAL PLATFORMS FOR IMPROVED RELIABILITY AND ACCURACY OF MAPPING WITHOUT THE NEED FOR GROUND CONTROL POINTS

    Directory of Open Access Journals (Sweden)

    O. Mian

    2015-08-01

    Full Text Available This paper presents results from a Direct Mapping Solution (DMS comprised of an Applanix APX-15 UAV GNSS-Inertial system integrated with a Sony a7R camera to produce highly accurate ortho-rectified imagery without Ground Control Points on a Microdrones md4-1000 platform. A 55 millimeter Nikkor f/1.8 lens was mounted on the Sony a7R and the camera was then focused and calibrated terrestrially using the Applanix camera calibration facility, and then integrated with the APX-15 UAV GNSS-Inertial system using a custom mount specifically designed for UAV applications. In July 2015, Applanix and Avyon carried out a test flight of this system. The goal of the test flight was to assess the performance of DMS APX-15 UAV direct georeferencing system on the md4-1000. The area mapped during the test was a 250 x 300 meter block in a rural setting in Ontario, Canada. Several ground control points are distributed within the test area. The test included 8 North-South lines and 1 cross strip flown at 80 meters AGL, resulting in a ~1 centimeter Ground Sample Distance (GSD. Map products were generated from the test flight using Direct Georeferencing, and then compared for accuracy against the known positions of ground control points in the test area. The GNSS-Inertial data collected by the APX-15 UAV was post-processed in Single Base mode, using a base station located in the project area via POSPac UAV. The base-station’s position was precisely determined by processing a 12-hour session using the CSRS-PPP Post Processing service. The ground control points were surveyed in using differential GNSS post-processing techniques with respect to the base-station.

  15. Densidade amostral aplicada ao monitoramento georreferenciado de lagartas desfolhadoras na cultura da soja Sample density applied to the georeferenced monitoring of defoliating caterpillars in soybean crop

    Directory of Open Access Journals (Sweden)

    Cinei Teresinha Riffel

    2012-12-01

    Castilhos - RS city, in 2008/2009 season. The georeferenced monitoring was carried out following three regular grids, 50x50m, 71x71m and 100x100m and also following the traditional method of sampling. During the entire crop cycle, and for each grid, there were conducted five evaluations of caterpillar infestations, two on the vegetative stage and three in the reproductive, using a beat cloth. To analyze the spatial and temporal distribution of caterpillars in the area, the data were submitted to descriptive statistical analysis and geostatistics analysis, using semivariograms and kriging to the elaboration of thematic maps. The results obtained indicated that the evaluated sample grids allowed to characterize the spatial distribution of caterpillars and modeled the spatial variability of caterpillars in soybean crop. The sampling and the georeferenced monitoring and further development of georeferenced thematic maps constitute a potential alternative to aggregate to the IPM strategies.

  16. Incorporation of Spatial Interactions in Location Networks to Identify Critical Geo-Referenced Routes for Assessing Disease Control Measures on a Large-Scale Campus

    Directory of Open Access Journals (Sweden)

    Tzai-Hung Wen

    2015-04-01

    Full Text Available Respiratory diseases mainly spread through interpersonal contact. Class suspension is the most direct strategy to prevent the spread of disease through elementary or secondary schools by blocking the contact network. However, as university students usually attend courses in different buildings, the daily contact patterns on a university campus are complicated, and once disease clusters have occurred, suspending classes is far from an efficient strategy to control disease spread. The purpose of this study is to propose a methodological framework for generating campus location networks from a routine administration database, analyzing the community structure of the network, and identifying the critical links and nodes for blocking respiratory disease transmission. The data comes from the student enrollment records of a major comprehensive university in Taiwan. We combined the social network analysis and spatial interaction model to establish a geo-referenced community structure among the classroom buildings. We also identified the critical links among the communities that were acting as contact bridges and explored the changes in the location network after the sequential removal of the high-risk buildings. Instead of conducting a questionnaire survey, the study established a standard procedure for constructing a location network on a large-scale campus from a routine curriculum database. We also present how a location network structure at a campus could function to target the high-risk buildings as the bridges connecting communities for blocking disease transmission.

  17. Fertility and Child Mortality in Urban West Africa: Leveraging geo-referenced data to move beyond the urban/rural dichotomy.

    Science.gov (United States)

    Corker, Jamaica

    2017-04-01

    Demographic research in sub-Saharan Africa (SSA) has long relied on a blunt urban/rural dichotomy that may obscure important inter-urban fertility and mortality differentials. This paper uses Demographic and Health Survey (DHS) geo-referenced data to look beyond the simple urban/rural division by spatially locating survey clusters along an urban continuum and producing estimates of fertility and child mortality by four city size categories in West Africa. Results show a gradient in urban characteristics and demographic outcomes: the largest cities are the most advantaged and smaller cities least advantaged with respect to access to urban amenities, lower fertility and under-5 survival rates. There is a difference in the patterns of fertility and under-five survival across urban categories, with fertility more linearly associated with city size while the only significant distinction for under-5 survival in urban areas is broadly between the larger and smaller cities. Notably, the small urban "satellite cities" that are adjacent to the largest cities have the most favorable outcomes of all categories. Although smaller urban areas have significantly lower fertility and child mortality than rural areas, in some cases this difference is nearly as large between the smallest and largest urban areas. These results are used to argue for the need to give greater consideration to employing an urban continuum in demographic research.

  18. Development of a Geo-Referenced Database for Weed Mapping and Analysis of Agronomic Factors Affecting Herbicide Resistance in Apera spica-venti L. Beauv. (Silky Windgrass

    Directory of Open Access Journals (Sweden)

    Dario Massa

    2013-01-01

    Full Text Available In this work, we evaluate the role of agronomic factors in the selection for herbicide resistance in Apera spica-venti L. Beauv. (silky windgrass. During a period of three years, populations were collected in more than 250 conventional fields across Europe and tested for resistance in the greenhouse. After recording the field history of locations, a geo-referenced database has been developed to map the distribution of herbicide-resistant A. spica-venti populations in Europe. A Logistic Regression Model was used to assess whether and to what extent agricultural and biological factors (crop rotation, soil tillage, sowing date, soil texture and weed density affect the probability of resistance selection apart from the selection pressure due to herbicide application. Our results revealed that rotation management and soil tillage are the factors that have the greatest influence on the model. In addition, first order interactions between these two variables were highly significant. Under conventional tillage, a percentage of winter crops in the rotation exceeding 75% resulted in a 1280-times higher risk of resistance selection compared to rotations with less than 50% of winter crops. Under conservation tillage, the adoption of >75% of winter crops increased the risk of resistance 13-times compared to rotations with less than 50% of winter crops. Finally, early sowing and high weed density significantly increased the risk of resistance compared to the reference categories (later sowing and low weed density, respectively. Soil texture had no significant influence. The developed model can find application in management programs aimed at preventing the evolution and spread of herbicide resistance in weed populations.

  19. An Accuracy Assessment of Georeferenced Point Clouds Produced via Multi-View Stereo Techniques Applied to Imagery Acquired via Unmanned Aerial Vehicle

    Science.gov (United States)

    Harwin, S.; Lucieer, A.

    2012-08-01

    Low-cost Unmanned Aerial Vehicles (UAVs) are becoming viable environmental remote sensing tools. Sensor and battery technology is expanding the data capture opportunities. The UAV, as a close range remote sensing platform, can capture high resolution photography on-demand. This imagery can be used to produce dense point clouds using multi-view stereopsis techniques (MVS) combining computer vision and photogrammetry. This study examines point clouds produced using MVS techniques applied to UAV and terrestrial photography. A multi-rotor micro UAV acquired aerial imagery from a altitude of approximately 30-40 m. The point clouds produced are extremely dense (study area, a 70 m section of sheltered coastline in southeast Tasmania. Areas with little surface texture were not well captured, similarly, areas with complex geometry such as grass tussocks and woody scrub were not well mapped. The process fails to penetrate vegetation, but extracts very detailed terrain in unvegetated areas. Initially the point clouds are in an arbitrary coordinate system and need to be georeferenced. A Helmert transformation is applied based on matching ground control points (GCPs) identified in the point clouds to GCPs surveying with differential GPS. These point clouds can be used, alongside laser scanning and more traditional techniques, to provide very detailed and precise representations of a range of landscapes at key moments. There are many potential applications for the UAV-MVS technique, including coastal erosion and accretion monitoring, mine surveying and other environmental monitoring applications. For the generated point clouds to be used in spatial applications they need to be converted to surface models that reduce dataset size without loosing too much detail. Triangulated meshes are one option, another is Poisson Surface Reconstruction. This latter option makes use of point normal data and produces a surface representation at greater detail than previously obtainable. This

  20. Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil.

    Science.gov (United States)

    Casartelli-Alves, Luciana; Amendoeira, Maria Regina Reis; Boechat, Viviane Cardoso; Ferreira, Luiz Cláudio; Carreira, João Carlos Araujo; Nicolau, José Leonardo; de Freitas Trindade, Eloiza Paula; de Barros Peixoto, Julia Novaes; Magalhães, Mônica de Avelar Figueiredo Mafra; de Oliveira, Raquel de Vasconcellos Carvalhaes; Schubach, Tânia Maria Pacheco; Menezes, Rodrigo Caldas

    2015-05-18

    The environmental contamination of Toxoplasma gondii in an endemic area in Brazil was mapped by georeferencing isolates from chickens in farms in the Southeast of the state of Rio de Janeiro. Tissue samples obtained from 153 adult chickens were analyzed by the mouse bioassay for T. gondii infection. These animals were reared free-range on 51 farms in the municipalities of Rio Bonito and Maricá. The ArcGIS kernel density estimator based on the frequency of T. gondii-positive chickens was used to map the environmental contamination with this parasite. A questionnaire was applied to obtain data on the presence and management of cats and the type of water consumed. Of the farms studied, 64.7% were found to be located in areas of low to medium presence of T. gondii, 27.5% in areas with a high or very high contamination level and 7.8% in non-contaminated areas. Additionally, 70.6% kept cats, 66.7% were near water sources and 45.0% were in or near dense vegetation. Humans used untreated water for drinking on 41.2% of the farms, while all animals were given untreated water. The intensity of environmental T. gondii contamination was significantly higher on farms situated at a distance >500 m from water sources (P=0.007) and near (≤500 m) dense vegetation (P=0.003). Taken together, the results indicate a high probability of T. gondii infection of humans and animals living on the farms studied. The kernel density estimator obtained based on the frequency of chickens testing positive for T. gondii in the mouse bioassay was useful to map environmental contamination with this parasite.

  1. "Grid" versus "Ground": Optimized Design of Low-Distortion Projections Using Existing Projection Types Rigorously Georeferenced to the National Spatial Reference System

    Science.gov (United States)

    Dennis, M. L.; Armstrong, M. L.

    2016-12-01

    common existing conformal projection types, so, unlike MSPCS, they are compatible with most engineering, surveying, and GIS datasets and software. Because they are rigorously georeferenced, LDPs facilitate appropriate use of the NSRS and directly represent conditions at ground without resorting to best-fit approximate transformations.

  2. Development of a georeferenced data bank of radionuclides in typical food of Latin America - SIGLARA; Desenvolvimento de um banco de dados georeferenciado de radionuclideos em alimentos tipicos na America Latina - SIGLARA

    Energy Technology Data Exchange (ETDEWEB)

    Nascimento, Lucia Maria Evangelista do

    2014-07-01

    The related management information related to the environmental assessment activity aims to provide the world community with better access to meaningful environmental information and help use this information in making decisions in case of contamination due to accident or deliberate actions. In recent years, the geotechnologies acquired are fundamental to research and environmental monitoring, once it possible, efficiently obtaining large amount of data natural resources. The result of this work was the development of a database system to store georeferenced data values of radionuclides in typical foods in Latin America (SIGLARA), defined in three languages (Spanish, Portuguese and English), using free software. The developed system meets the primary need of the RLA 09/72 ARCAL Project, funded by the International Atomic Energy Agency (IAEA), as having eleven participants countries in Latin America. The database of georeferenced created for SIGLARA system was tested in its applicability through the entry and manipulation of real data analyzed, which showed that the system is able to store, retrieve, view reports and maps of the samples of registered food. Interfaces that connect the user with the database show up efficient, making the system easy operability. Their application to environmental management is already showing results, it is hoped that these results will encourage its widespread adoption by other countries, institutions, the scientific community and the general public. (author)

  3. Georeferenced energy information system integrated of energetic matrix of Sao Paulo state from 2005 to 2035; Sistema de informacoes energeticas georreferenciadas integrado a matriz energetica do estado de Sao Paulo: 2005-2035

    Energy Technology Data Exchange (ETDEWEB)

    Alvares, Joao Malta [IX Consultoria e Representacoes Ltda, Itajuba, MG (Brazil); Universidade Federal de Itajuba (UNIFEI), MG (Brazil)

    2010-07-01

    A georeferenced information system energy or simply SIEG, is designed to integrate into the energy matrix of Sao Paulo from 2005 to 2035. Being an innovative request made by the Department of Sanitation and Energy of the state, this system would have the purpose to collect and aggregate information and data from several themes, relating this content in a geographic location spatialized. The main focus of the system is the analysis of the energy sector as a whole, from generation to final consumption, through all phases such as transmission and distribution. The energy data would also be crossed with various themes of support, contributing to the development of numerous reviews and generating sound conclusions. Issues such as environment, socio-economics, infrastructure, interconnected sectors, geographical conditions and other information could be entered, viewed and linked to the system. The SIEG is also a facilitator for planning and managing the energy sector with forecast models in possible future situations. (author)

  4. Automatic Georeferencing of Astronaut Auroral Photography

    Science.gov (United States)

    Walsh, A. P.; Riechert, M.; Taylor, M. G.

    2014-12-01

    Astronauts on board the International Space Station have taken thousands of high quality photographs of the aurorae borealis and australis with a high temporal and spatial resolution. A barrier to these photographs being used in research is that the cameras do not have a fixed orientation and the images therefore do not have any pointing information associated with them. Using astrometry.net and other open source libraries we have developed a software toolkit to automatically reconstruct the pointing of the images from the visible starfield and hence project the auroral images in geographic and geomagnetic coordinates. Here we explain the technique and the resulting data products, which will soon be publically available through the project website.

  5. Georeferencing CAMS data: Polynomial rectification and beyond

    Science.gov (United States)

    Yang, Xinghe

    The Calibrated Airborne Multispectral Scanner (CAMS) is a sensor used in the commercial remote sensing program at NASA Stennis Space Center. In geographic applications of the CAMS data, accurate geometric rectification is essential for the analysis of the remotely sensed data and for the integration of the data into Geographic Information Systems (GIS). The commonly used rectification techniques such as the polynomial transformation and ortho rectification have been very successful in the field of remote sensing and GIS for most remote sensing data such as Landsat imagery, SPOT imagery and aerial photos. However, due to the geometric nature of the airborne line scanner which has high spatial frequency distortions, the polynomial model and the ortho rectification technique in current commercial software packages such as Erdas Imagine are not adequate for obtaining sufficient geometric accuracy. In this research, the geometric nature, especially the major distortions, of the CAMS data has been described. An analytical step-by-step geometric preprocessing has been utilized to deal with the potential high frequency distortions of the CAMS data. A generic sensor-independent photogrammetric model has been developed for the ortho-rectification of the CAMS data. Three generalized kernel classes and directional elliptical basis have been formulated into a rectification model of summation of multisurface functions, which is a significant extension to the traditional radial basis functions. The preprocessing mechanism has been fully incorporated into the polynomial, the triangle-based finite element analysis as well as the summation of multisurface functions. While the multisurface functions and the finite element analysis have the characteristics of localization, piecewise logic has been applied to the polynomial and photogrammetric methods, which can produce significant accuracy improvement over the global approach. A software module has been implemented with full integration of data preprocessing and rectification techniques under Erdas Imagine development environment. The final root mean square (RMS) errors for the test CAMS data are about two pixels which are compatible with the random RMS errors existed in the reference map coordinates.

  6. Scanning and georeferencing historical USGS quadrangles

    Science.gov (United States)

    Fishburn, Kristin A.; Davis, Larry R.; Allord, Gregory J.

    2017-06-23

    The U.S. Geological Survey (USGS) National Geospatial Program is scanning published USGS 1:250,000-scale and larger topographic maps printed between 1884, the inception of the topographic mapping program, and 2006. The goal of this project, which began publishing the Historical Topographic Map Collection in 2011, is to provide access to a digital repository of USGS topographic maps that is available to the public at no cost. For more than 125 years, USGS topographic maps have accurately portrayed the complex geography of the Nation. The USGS is the Nation’s largest producer of traditional topographic maps, and, prior to 2006, USGS topographic maps were created using traditional cartographic methods and printed using a lithographic process. The next generation of topographic maps, US Topo, is being released by the USGS in digital form, and newer technologies make it possible to also deliver historical maps in the same electronic format that is more publicly accessible.

  7. A relação entre o espaço e a saúde bucal coletiva: por uma epidemiologia georreferenciada The relation between space and collective oral health: for a georeferenced epidemiology

    Directory of Open Access Journals (Sweden)

    Rafael da Silveira Moreira

    2007-03-01

    -time-people elements. This reflexive investigation seeks to explore the relations established between space (social and geographical and Collective Oral Health, emphasizing the role of territory in the reproduction of iniquities in health and the necessity of developing studies that approach space as a constitutive element in the oral health-disease process. In what could be termed a georeferenced epidemiology, the spatial expression of events of oral health-disease and of the actors involved in this process strengthens the importance of territory (and its various significations to Collective Oral Health.

  8. Monitoring Seabirds and Marine Mammals by Georeferenced Aerial Photography

    Science.gov (United States)

    Kemper, G.; Weidauer, A.; Coppack, T.

    2016-06-01

    The assessment of anthropogenic impacts on the marine environment is challenged by the accessibility, accuracy and validity of biogeographical information. Offshore wind farm projects require large-scale ecological surveys before, during and after construction, in order to assess potential effects on the distribution and abundance of protected species. The robustness of site-specific population estimates depends largely on the extent and design of spatial coverage and the accuracy of the applied census technique. Standard environmental assessment studies in Germany have so far included aerial visual surveys to evaluate potential impacts of offshore wind farms on seabirds and marine mammals. However, low flight altitudes, necessary for the visual classification of species, disturb sensitive bird species and also hold significant safety risks for the observers. Thus, aerial surveys based on high-resolution digital imagery, which can be carried out at higher (safer) flight altitudes (beyond the rotor-swept zone of the wind turbines) have become a mandatory requirement, technically solving the problem of distant-related observation bias. A purpose-assembled imagery system including medium-format cameras in conjunction with a dedicated geo-positioning platform delivers series of orthogonal digital images that meet the current technical requirements of authorities for surveying marine wildlife at a comparatively low cost. At a flight altitude of 425 m, a focal length of 110 mm, implemented forward motion compensation (FMC) and exposure times ranging between 1/1600 and 1/1000 s, the twin-camera system generates high quality 16 bit RGB images with a ground sampling distance (GSD) of 2 cm and an image footprint of 155 x 410 m. The image files are readily transferrable to a GIS environment for further editing, taking overlapping image areas and areas affected by glare into account. The imagery can be routinely screened by the human eye guided by purpose-programmed software to distinguish biological from non-biological signals. Each detected seabird or marine mammal signal is identified to species level or assigned to a species group and automatically saved into a geo-database for subsequent quality assurance, geo-statistical analyses and data export to third-party users. The relative size of a detected object can be accurately measured which provides key information for species-identification. During the development and testing of this system until 2015, more than 40 surveys have produced around 500.000 digital aerial images, of which some were taken in specially protected areas (SPA) of the Baltic Sea and thus include a wide range of relevant species. Here, we present the technical principles of this comparatively new survey approach and discuss the key methodological challenges related to optimizing survey design and workflow in view of the pending regulatory requirements for effective environmental impact assessments.

  9. Georeferenced fate modelling of LAS in the itter stream

    DEFF Research Database (Denmark)

    Schulze, C:; Matthies, M.; Trapp, S.

    1999-01-01

    For the simulation of spatial concentration patterns of 'down-the-drain' chemicals mathematical models were coupled with a Geographic Information System (GIS) to predict concentrations in the receiving surface waters, using the detergent chemicals Linear Alkylbenzenesulfonate (LAS) and Boron and ...... in the riverine water and the water quality parameters TOC and ammonium, This study is closely linked to the ongoing project GREAT-ER. (C) 1999 Elsevier Science Ltd. All rights reserved....

  10. Locative view: visualizing geo-referenced objects in space

    Science.gov (United States)

    Carlotto, Mark; Nebrich, Mark; Hylton, Paul

    2010-04-01

    Locative Viewing is a method for visualizing geographically-referenced 3-D objects in the local coordinate system of a geographically-referenced observer. A computer-graphics rendering of nearby geo-objects is superimposed over the visual surroundings of the observer as seen by a camera. This rendering changes as the observer moves. Locative viewing can be accomplished with a mobile device that 1) is able to determine its geographic location, and orientation, 2) contains a camera and image display, and 3) can project and overlay objects within the field of view of the camera with the camera image. A preliminary implementation of a locative viewer using Apple's iPhone is described and results presented.

  11. Strategic Management of Geo-Referenced Soil and Crop Information

    Science.gov (United States)

    For over a decade, farmers have been collecting site-specific yield data. Many have formed doubts about this investment because of their inability to directly apply this information as feedback for improving management. It seems evident that precision agriculture adoption has been hindered, in part,...

  12. Georeferencing the historical cadastral map sheets of Hungary

    Science.gov (United States)

    Timár, Gábor; Biszak, Sándor

    2010-05-01

    In the historical Hungary, as a part of the Habsburg Empire, the first preserved and systematic cadastral survey was carried out between 1856 and 1859. Interestingly enough, this cadastral mapping, which was called in Hungary as 'Provisional' was surveyed simultaneously with the Stable Cadastre in the Austrian regions of the Empire. By the commission of the State Archives of Hungary, the Hungarian company Arcanum Ltd. scanned over 46,000 cadastral sheets of the Provisional Cadastre, mostly covering the present-day Hungary but also some copies covering parts of the present-day Croatia, Slovakia and Austria. The base ellipsoid was the Zach-Oriani hybrid (a=6376130 m; f=1/310). The fundamental point of the geodetic datum was the eastern pillar of the later destroyed astronomical observatory on the Gellérthegy, Budapest and the abridging Molodensky parameters from this datum to WGS84 are: dX=+1763 m; dY=+282 m; dZ=+568 m. The Cassini projection can be used for GIS integration with a projection center at the Gellérthegy with longitude=19d 3m 5.55s east of Greenwich; latitude=49d 29m 15.97s. The sheets were rectified by the calculated coordinates at the corner points. With the above given projection and datum parameters, the cadastral mosaic, based on the individual sheets and the digitized borders of the administrative units, is presented in any modern coordinate systems in GIS. Using this feature, the product is published as a DVD series by old counties as well as the distribution in the Internet.

  13. Georeferenced database generation with the purpose of hydrologic molding in reservoirs of the hydrographic basin of Jaguaribe river in the state of Ceará, Brazil Geração de base de dados georreferenciada com finalidade de modelagem hidrológica em reservatórios da bacia hidrográfica do rio Jaguaribe, Ceará, Brasil

    Directory of Open Access Journals (Sweden)

    Raimundo A. de O. Leão

    2013-04-01

    Full Text Available The edafoclimatic conditions of the Brazilian semiarid region favor the water loss by surface runoff. The state of Ceará, almost completely covered by semiarid, has developed public policies for the construction of dams in order to attend the varied water demand. Several hydrological models were developed to support decisive processes in the complex management of reservoirs. This study aimed to establish a methodology for obtaining a georeferenced database suitable for use as input data in hydrological modeling in the semiarid of Ceará. It was used images of Landsat satellite and SRTM Mission, and soil maps of the state of Ceará. The Landsat images allowed the determination of the land cover and the SRTM Mission images, the automatic delineation of hydrographic basins. The soil type was obtained through the soil map. The database was obtained for Jaguaribe River hydrographic basin, in the state of Ceará, and is applicable to hydrological modeling based on the Curve Number method for estimating the surface runoff.As condições edafoclimáticas do semiárido brasileiro favorecem a perda de água por escoamento superficial. O Estado do Ceará,quase totalmente abrangido pelo semiárido, desenvolveu políticas públicas voltadas para a construção de açudes,a fim de atender à demanda hídrica diversificada. Vários modelos hidrológicos foram desenvolvidos para subsidiar os processos decisórios no complexo manejo dos reservatórios. Este trabalho teve como objetivo estabelecer uma metodologia para a obtenção de uma base de dados georreferenciada e adequada para uso como dados de entrada na modelagem hidrológica,no semiárido cearense. Foram utilizadas imagens de satélite Landsat e da missão SRTM, e mapa de solos do Estado do Ceará. As imagens Landsat possibilitaram determinar a cobertura do solo,e as imagens da missão SRTM, a delimitação automática das bacias hidrográficas. O tipo de solo foi obtido por meio do mapa de solos. A

  14. Aplicabilidade do georreferenciamento de aerofotos de pequeno formato na formação de bancos de dados espaciais: uma alternativa para o cadastro técnico rural municipal Suitability of georeferencing of aerial photography of small format in the formation of data bank: an alternative to rural municipal technical cadaster

    Directory of Open Access Journals (Sweden)

    Julio Cesar Farret

    1997-12-01

    Full Text Available A falta de base cartográfica adequada para certas regiões, tem levado a um uso mais intensivo de aerofotos de pequeno formato como fonte de informação espacial ágil e de baixo custo aos usuários de sistemas que tratam imagens georreferenciadas para diversas finalidades. Uma destas finalidades é o Cadastro Técnico Rural Municipal (CTRM, o que exige que seja conhecida a magnitude dos erros inerentes ao processo. Foi desenvolvido um estudo para quantificar a imprecisão originada do uso direto, sem restituição, destas aerofotos, nas duas principais formas de entrada da informação espacial nesses sistemas: a digitalização manual, via mesa digitalizadora, utilizando-se osistema CR-SIGDER 2.0; e a digitalização eletrônica, via "scanner", com vetorizaçãio direta no monitor SVGA, com "mouse", utilizando-se o sistema CR-IMAREA 1.0. Os pontos de apoio para transformação de escalas foram georreferenciados aosistema UTM através de GPS e topografia. O principal parâmetro analisado foi o erro médio de posicionamento nas coordenadas. Procurou-se, ainda, descobrir qual a melhor distribuição dos pontos de apoio de campo para a transformação de escalas nestes sistemas. A melhor distribuição de pontos apresentou um erro médio de posicionamento nas coordenadas de 6.96 metros para a mesa digitalizadora, e de 7.53 metros para o monitor SVGA. Levando-se em consideração a pequena escala utilizada, estes resultados mostram o grande potencial das aerofotos de pequeno formato para as finalidades propostas neste trabalho, pois os mesmos se traduzem em erros de distâncias e áreas dentro da tolerância topográfica, desde que os pontos de apoio esfejam distribuídos um em cada canto da aerofoto.The lack of cartographic base for cartain regions, has taken to a more intensive use of aerial photographies of small format as a source of agile spatial information and of a low cost to the system users which treat georeferencing images to several

  15. nowCOAST's Map Service for Geo-Referenced Hyperlinks to In-Situ Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Map Information: This nowCOAST geolinks map service provides maps depicting the locations of surface and upper-air in-situ observing stations along with hyperlinks...

  16. Twitter location (sometimes matters: Exploring the relationship between georeferenced tweet content and nearby feature classes

    Directory of Open Access Journals (Sweden)

    Stefan Hahmann

    2014-12-01

    Full Text Available In this paper, we investigate whether microblogging texts (tweets produced on mobile devices are related to the geographical locations where they were posted. For this purpose, we correlate tweet topics to areas. In doing so, classified points of interest from OpenStreetMap serve as validation points. We adopted the classification and geolocation of these points to correlate with tweet content by means of manual, supervised, and unsupervised machine learning approaches. Evaluation showed the manual classification approach to be highest quality, followed by the supervised method, and that the unsupervised classification was of low quality. We found that the degree to which tweet content is related to nearby points of interest depends upon topic (that is, upon the OpenStreetMap category. A more general synthesis with prior research leads to the conclusion that the strength of the relationship of tweets and their geographic origin also depends upon geographic scale (where smaller scale correlations are more significant than those of larger scale.

  17. nowCOAST's Map Service for Geo-Referenced Hyperlinks to Remotely-Sensed Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Map Information: This nowCOAST geolinks map service provides maps depicting the locations of remote-sensing observing sites along with hyperlinks to the web sites...

  18. Road Incidents Within an Georeferenced Area Analysis to Establish Odds of Hospitalization. An Application

    Directory of Open Access Journals (Sweden)

    Fernanda Martínez Micakoski

    2015-07-01

    Full Text Available The association analysis identifies the existence of a relationship between two or more variables, this usinga statistical test allows determining the influence between an attribute measured in a traffic event and thehospitalization of the participant, allowing obtaining patterns related the seriousness of the incident in connection totheir need for health care. Since the causes and consequences of the incident differ according to the sector beingstudied, in this case Trenque Lauquen Provincia de Buenos Aires of Argentina, city of about 40,000 habitants, themethodology developed use a grouping in zones and a grouping of measurements of each incident in responseto the changes of Humans, Vehicles and Environments factors. The application of statistical analysis is validatedbased on the application of the model with data not used in the analysis. The results in all cases allow concludedthat the model provides accurate information for make a diagnosis or assess an intervention. The present studyprovides the characterization of each zone according to their most critical result, which is the health impact onthe person involved. Based on this description it is possible to tailor preventive strategies efficiently and link thespending with simple evaluation programs.

  19. Automatic Geo-Referencing Mobile Laser Scanning Data to Uav Images

    Science.gov (United States)

    Gao, Y.; Huang, X.; Zhang, F.; Fu, Z.; Yang, C.

    2015-08-01

    In this paper, a framework for adjusting mobile laser scanning point cloud data to improve the accuracy is proposed by integrating high resolution UAV images and MLS. First, aerial triangulated images with a few high accuracy ground control points are taken as control information. Then, a hierarchical strategy is proposed for robust pairwise registration of feature points between point cloud and images, so as to find the deviation of the point cloud. In the next step, a shape-preserving piecewise cubic interpolating method is employed to fit the time dependent error model of the trajectory. Finally, experiments are given to prove the effectiveness of proposed framework.

  20. A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY

    Directory of Open Access Journals (Sweden)

    G. Conte

    2012-09-01

    Full Text Available This article presents an approach to the terrain-aided navigation problem suitable for unmanned aerial vehicles flying at low altitude. The problem of estimating the state parameters of a flying vehicle is addressed in the particular situation where the GPS information is unavailable or unreliable due to jamming situations for instance. The proposed state estimation approach fuses information from inertial and image sensors. Absolute localization is obtained through image-to-map registration. For this purpose, 2D satellite images are used. The algorithms presented are implemented and tested on-board an industrial unmanned helicopter. Flight-test results will be presented.

  1. Utilizing Geo-Referenced Mobile Game Technology for Universally Accessible Virtual Geology Field Trips

    Science.gov (United States)

    Bursztyn, Natalie; Pederson, Joel; Shelton, Brett; Walker, Andrew; Campbell, Todd

    2015-01-01

    Declining interest and low persistence is well documented among undergraduate students in Science, Technology, Engineering, and Math in the United States. For geoscience, field trips are important attractors to students, however with high enrollment courses and increasing costs they are becoming rare. We propose in this concept paper that the…

  2. Signal Transceiver Transit Times and Propagation Delay Corrections for Ranging and Georeferencing Applications

    Directory of Open Access Journals (Sweden)

    P. Kaufmann

    2012-01-01

    Full Text Available The accuracy of ranging measurements depends critically on the knowledge of time delays undergone by signals when retransmitted by a remote transponder and due to propagation effects. A new method determines these delays for every single pulsed signal transmission. It utilizes four ground-based reference stations, synchronized in time and installed at well-known geodesic coordinates and a repeater in space, carried by a satellite, balloon, aircraft, and so forth. Signal transmitted by one of the reference bases is retransmitted by the transponder, received back by the four bases, producing four ranging measurements which are processed to determine uniquely the time delays undergone in every retransmission process. A minimization function is derived comparing repeater’s positions referred to at least two groups of three reference bases, providing the signal transit time at the repeater and propagation delays, providing the correct repeater position. The method is applicable to the transponder platform positioning and navigation, time synchronization of remote clocks, and location of targets. The algorithm has been demonstrated by simulations adopting a practical example with the transponder carried by an aircraft moving over bases on the ground.

  3. nowCOAST's Map Service for Geo-Referenced Hyperlinks to Forecast Discussions for Geographic Areas

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Map Information: This nowCOAST geolinks map service provides maps depicting the geographic areas where NWS regional weather forecast discussions for inland areas,...

  4. Near Real-Time Dissemination of Geo-Referenced Imagery by an Enterprise Server

    Science.gov (United States)

    2006-06-01

    Figure 5. From left to right, the figure shows the digital camera, power converter board, IMU interface board, single board computer , and the BAE...Multisensor Inertial Measurement Unit (MIMU). The hard drive is positioned under the single board computer . In Figure 6 a drawing is shown of these...Inertial Measurement Unit.[7] The NIM is a customized board developed by NAVSYS that provides an adaptable interface between the IMU and single board computer through

  5. A computational platform for modeling and simulation of pipeline georeferencing systems

    Energy Technology Data Exchange (ETDEWEB)

    Guimaraes, A.G.; Pellanda, P.C.; Gois, J.A. [Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ (Brazil); Roquette, P.; Pinto, M.; Durao, R. [Instituto de Pesquisas da Marinha (IPqM), Rio de Janeiro, RJ (Brazil); Silva, M.S.V.; Martins, W.F.; Camillo, L.M.; Sacsa, R.P.; Madeira, B. [Ministerio de Ciencia e Tecnologia (CT-PETRO2006MCT), Brasilia, DF (Brazil). Financiadora de Estudos e Projetos (FINEP). Plano Nacional de Ciencia e Tecnologia do Setor Petroleo e Gas Natural

    2009-07-01

    This work presents a computational platform for modeling and simulation of pipeline geo referencing systems, which was developed based on typical pipeline characteristics, on the dynamical modeling of Pipeline Inspection Gauge (PIG) and on the analysis and implementation of an inertial navigation algorithm. The software environment of PIG trajectory simulation and navigation allows the user, through a friendly interface, to carry-out evaluation tests of the inertial navigation system under different scenarios. Therefore, it is possible to define the required specifications of the pipeline geo referencing system components, such as: required precision of inertial sensors, characteristics of the navigation auxiliary system (GPS surveyed control points, odometers etc.), pipeline construction information to be considered in order to improve the trajectory estimation precision, and the signal processing techniques more suitable for the treatment of inertial sensors data. The simulation results are analyzed through the evaluation of several performance metrics usually considered in inertial navigation applications, and 2D and 3D plots of trajectory estimation error and of recovered trajectory in the three coordinates are made available to the user. This paper presents the simulation platform and its constituting modules and defines their functional characteristics and interrelationships.(author)

  6. Historical Compilation and Georeferencing of Dengue and Chikungunya outbreak data for Disease Modeling

    Science.gov (United States)

    The risk of vector-borne disease spread is increasing due to significant changes and variability in the global climate and increasing global travel and trade. Understanding the relationships between climate variability and disease outbreak patterns are critical to the design and construction of pred...

  7. Coral Community Structure Data at Georeferenced Sites at National Wildlife Refuges in the U.S. Pacific

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Data for scleractinian corals and other cnidarians were acquired during in situ surveys at National Wildlife Refuges and Marine National Monuments in the U.S....

  8. The Value of Georeferenced Collection Records for Predicting Patterns of Mosquito Species Richness and Endemism in the Neotropics

    Science.gov (United States)

    2008-01-01

    hab- itat diversity predicts butterfl y species richness and community simi- larity in Canada . Proceedings of the National Academy of Sciences of...Onate , L . ( 2000 ) The use of specimen-label databases for conservation purposes: an example using Mexican papilionid and pierid butterfl ies

  9. Diffusion-Based Density-Equalizing Maps: an Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data

    Science.gov (United States)

    Mazzitello, Karina I.; Candia, Julián

    2012-12-01

    In every country, public and private agencies allocate extensive funding to collect large-scale statistical data, which in turn are studied and analyzed in order to determine local, regional, national, and international policies regarding all aspects relevant to the welfare of society. One important aspect of that process is the visualization of statistical data with embedded geographical information, which most often relies on archaic methods such as maps colored according to graded scales. In this work, we apply nonstandard visualization techniques based on physical principles. We illustrate the method with recent statistics on homicide rates in Brazil and their correlation to other publicly available data. This physics-based approach provides a novel tool that can be used by interdisciplinary teams investigating statistics and model projections in a variety of fields such as economics and gross domestic product research, public health and epidemiology, sociodemographics, political science, business and marketing, and many others.

  10. Diffusion-Based Density-Equalizing Maps: an Interdisciplinary Approach to Visualizing Homicide Rates and Other Georeferenced Statistical Data

    CERN Document Server

    Mazzitello, Karina I

    2012-01-01

    In every country, public and private agencies allocate extensive funding to collect large-scale statistical data, which in turn are studied and analyzed in order to determine local, regional, national, and international policies regarding all aspects relevant to the welfare of society. One important aspect of that process is the visualization of statistical data with embedded geographical information, which most often relies on archaic methods such as maps colored according to graded scales. In this work, we apply non-standard visualization techniques based on physical principles. We illustrate the method with recent statistics on homicide rates in Brazil and their correlation to other publicly available data. This physics-based approach provides a novel tool that can be used by interdisciplinary teams investigating statistics and model projections in a variety of fields such as economics and gross domestic product research, public health and epidemiology, socio-demographics, political science, business and m...

  11. nowCOAST's Map Service for Geo-Referenced Hyperlinks to Forecast Guidance or Predictions at Point Locations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Map Information: This nowCOAST geolinks map service provides maps depicting the locations where NOAA point forecast guidance or predictions are available along with...

  12. Combat Stories Map: A Historical Repository and After Action Tool for Capturing, Storing, and Analyzing Georeferenced Individual Combat Narratives

    Science.gov (United States)

    2016-06-01

    to post advertisements on their pages, but for an unknown reason the U.S. Marine Corps Facebook page administrator ceased contact with the author...not to. An advertisement placed on the Naval Postgraduate School student check-in page received no responses. The author contacted two military-focused...social media sites and two Fallujah-focused U.S. Marine Corps Facebook sites for use as recruiting venues. One social media site, RallyPoint

  13. nowCOAST's Map Service for Geo-Referenced Hyperlinks to Forecasts for Geographic Areas or Points

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Map Information: This nowCOAST geolinks map service provides maps depicting the locations of geographic zones and points where NWS forecasts are available along with...

  14. Geo-Referenced, Abundance Calibrated Ocean Distribution of Chinook Salmon (Oncorhynchus tshawytscha Stocks across the West Coast of North America.

    Directory of Open Access Journals (Sweden)

    M Renee Bellinger

    Full Text Available Understanding seasonal migration and localized persistence of populations is critical for effective species harvest and conservation management. Pacific salmon (genus Oncorhynchus forecasting models predict stock composition, abundance, and distribution during annual assessments of proposed fisheries impacts. Most models, however, fail to account for the influence of biophysical factors on year-to-year fluctuations in migratory distributions and stock-specific survival. In this study, the ocean distribution and relative abundance of Chinook salmon (O. tshawytscha stocks encountered in the California Current large marine ecosystem, U.S.A were inferred using catch-per-unit effort (CPUE fisheries and genetic stock identification data. In contrast to stock distributions estimated through coded-wire-tag recoveries (typically limited to hatchery salmon, stock-specific CPUE provides information for both wild and hatchery fish. Furthermore, in contrast to stock composition results, the stock-specific CPUE metric is independent of other stocks and is easily interpreted over multiple temporal or spatial scales. Tests for correlations between stock-specific CPUE and stock composition estimates revealed these measures diverged once proportional contributions of locally rare stocks were excluded from data sets. A novel aspect of this study was collection of data both in areas closed to commercial fisheries and during normal, open commercial fisheries. Because fishing fleet efficiency influences catch rates, we tested whether CPUE differed between closed area (non-retention and open area (retention data sets. A weak effect was indicated for some, but not all, analyzed cases. Novel visualizations produced from stock-specific CPUE-based ocean abundance facilitates consideration of how highly refined, spatial and genetic information could be incorporated in ocean fisheries management systems and for investigations of biogeographic factors that influence migratory distributions of fish.

  15. Scanned Hardcopy Maps, Walworth County Historical Airphotos scanned and georeferenced, Published in 2011, Not Applicable scale, Walworth County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Scanned Hardcopy Maps dataset, published at Not Applicable scale, was produced all or in part from Other information as of 2011. It is described as 'Walworth...

  16. Sally Ride EarthKAM - Automated Image Geo-Referencing Using Google Earth Web Plug-In

    Science.gov (United States)

    Andres, Paul M.; Lazar, Dennis K.; Thames, Robert Q.

    2013-01-01

    Sally Ride EarthKAM is an educational program funded by NASA that aims to provide the public the ability to picture Earth from the perspective of the International Space Station (ISS). A computer-controlled camera is mounted on the ISS in a nadir-pointing window; however, timing limitations in the system cause inaccurate positional metadata. Manually correcting images within an orbit allows the positional metadata to be improved using mathematical regressions. The manual correction process is time-consuming and thus, unfeasible for a large number of images. The standard Google Earth program allows for the importing of KML (keyhole markup language) files that previously were created. These KML file-based overlays could then be manually manipulated as image overlays, saved, and then uploaded to the project server where they are parsed and the metadata in the database is updated. The new interface eliminates the need to save, download, open, re-save, and upload the KML files. Everything is processed on the Web, and all manipulations go directly into the database. Administrators also have the control to discard any single correction that was made and validate a correction. This program streamlines a process that previously required several critical steps and was probably too complex for the average user to complete successfully. The new process is theoretically simple enough for members of the public to make use of and contribute to the success of the Sally Ride EarthKAM project. Using the Google Earth Web plug-in, EarthKAM images, and associated metadata, this software allows users to interactively manipulate an EarthKAM image overlay, and update and improve the associated metadata. The Web interface uses the Google Earth JavaScript API along with PHP-PostgreSQL to present the user the same interface capabilities without leaving the Web. The simpler graphical user interface will allow the public to participate directly and meaningfully with EarthKAM. The use of similar techniques is being investigated to place ground-based observations in a Google Mars environment, allowing the MSL (Mars Science Laboratory) Science Team a means to visualize the rover and its environment.

  17. Geo-Referenced Dynamic Pushbroom Stereo Mosaics for 3D and Moving Target Extraction - A New Geometric Approach

    Science.gov (United States)

    2009-12-01

    1996; Odone , et al, 2000; Leung & Chen, 2000) have been proposed for video representation and compression, but most of the work is for generating 2D...94), II pp 1113-1119 [26]. Odone , F., Fusiello, A. and Trucco, E. 2000. Robust motion segmentation for content-based video coding, In Proc. 6th

  18. Assessing Leaching of Saline-sodic Soils Affected by Kaveh-Soda Factory Effluent using Georeferenced Maps in Maragheh-Bonab Plain

    Directory of Open Access Journals (Sweden)

    Farzin Shahbazi

    2015-12-01

    Full Text Available Relativity of soil maps may limit their utility at many aspects such as agriculture development, farming, civil engineering, urban and regional planning and forestry. Paying attention to the scale is one of the most common procedures in assessing the maps usability. The average size delineation (ASD, effective scale number (ESN, index of maximum reduction (IMR and shape complexity index (SCI are the maps quality criteria that can be examined. The purposes of this study were: a to evaluate the EC and SAR maps of the farm lands affected by the Kaveh-Soda factory effluent on the basis of the above quality criteria and b to evaluate the efficiency of continuous and intermittent methods of leaching in three Saline-Sodic soils with loam and sandy loam textures. EC maps of the area were selected and ASD, ESN, IMR and SCI were determined as 0.95 cm2, 1:26000, 1.54 and 3.33, respectively. For the SAR maps the above criteria were 1.33 cm2, 1:31000, 1.84 and 3.51, respectively. According to the above criteria there should be no limitation in their uses for developing of agricultural and civil engineering projects. It is known that optimum IMR is equal to 2, so that raising IMR of EC and SAR maps from 1.54 and 1.84 to 2 led their scale to increase from 1:34000 to 1:26000 and 1:31000, respectively and increase maps contrast as well. At the subsequent stage, efficiency of two leaching methods of saline-sodic soils was examined after knowing the usability of the maps and separating their units, as affected by Kaveh-Soda factory (Maragheh. For this purpose, PVC tubes (Lengths= 70 cm; Diameter= 10 cm were prepared and filled with soil (5200 g sieved by 4.76 mm. The flow rate during both leaching methods was selected to be 1.25 KS of the columns. Soil columns were grouped according their EC as 1 EC= 10.38 dSm-1, with Na+= 49.64 meqL-1; 2 EC= 20.6 dSm-1, with Na+= 94.57 meqL-1; and 3 EC= 36.6 dSm-1, with Na+ = 166.11 meqL-1. Leaching water was saturated with gypsum because of it's high SAR to disperse the soil and effectively reduce the leaching efficiency. The EC of leaching water was 2.34 dSm-1. Leaching was stopped when EC of the effluent from the columns became relatively constant. The results revealed that intermittent leaching method efficiency was 8% greater than that of continuous method. The depth water need for the reclamation of the affected soils was also calculated.

  19. Incorporation of spatial interactions in location networks to identify critical geo-referenced routes for assessing disease control measures on a large-scale campus

    National Research Council Canada - National Science Library

    Wen, Tzai-Hung; Chin, Wei Chien Benny

    2015-01-01

    .... However, as university students usually attend courses in different buildings, the daily contact patterns on a university campus are complicated, and once disease clusters have occurred, suspending...

  20. Integrating Information from Multiple Methods into the Analysis of Perceived Risk of Crime: The Role of Geo-Referenced Field Data and Mobile Methods

    Directory of Open Access Journals (Sweden)

    Jane Fielding

    2013-01-01

    Full Text Available This paper demonstrates the use of mixed methods discovery techniques to explore public perceptions of community safety and risk, using computational techniques that combine and integrate layers of information to reveal connections between community and place. Perceived vulnerability to crime is conceptualised using an etic/emic framework. The etic “outsider” viewpoint imposes its categorisation of vulnerability not only on areas (“crime hot spots” or “deprived neighbourhoods” but also on socially constructed groupings of individuals (the “sick” or the “poor” based on particular qualities considered relevant by the analyst. The range of qualities is often both narrow and shallow. The alternative, emic, “insider” perspective explores vulnerability based on the meanings held by the individuals informed by their lived experience. Using recorded crime data and Census-derived area classifications, we categorise an area in Southern England from an etic viewpoint. Mobile interviews with local residents and police community support officers and researcher-led environmental audits provide qualitative emic data. GIS software provides spatial context to analytically link both quantitative and qualitative data. We demonstrate how this approach reveals hidden sources of community resilience and produces findings that explicate low level social disorder and vandalism as turns in a “dialogue” of resistance against urbanisation and property development.

  1. Assessing Leaching of Saline-sodic Soils Affected by Kaveh-Soda Factory Effluent using Georeferenced Maps in Maragheh-Bonab Plain

    OpenAIRE

    Farzin Shahbazi; Iraj Sahabnaghdi; Mohammadreza Neyshabouri; Shahin Oustan

    2015-01-01

    Relativity of soil maps may limit their utility at many aspects such as agriculture development, farming, civil engineering, urban and regional planning and forestry. Paying attention to the scale is one of the most common procedures in assessing the maps usability. The average size delineation (ASD), effective scale number (ESN), index of maximum reduction (IMR) and shape complexity index (SCI) are the maps quality criteria that can be examined. The purposes of this study were: a) to evaluat...

  2. Birds of Antioquia: Georeferenced database of specimens from the Colección de Ciencias Naturales del Museo Universitario de la Universidad de Antioquia (MUA)

    Science.gov (United States)

    Rozo, Andrea Morales; Valencia, Fernando; Acosta, Alexis; Parra, Juan Luis

    2014-01-01

    Abstract The department of Antioquia, Colombia, lies in the northwestern corner of South America and provides a biogeographical link among divergent faunas, including Caribbean, Andean, Pacific and Amazonian. Information about the distribution of biodiversity in this area is of relevance for academic, practical and social purposes. This data paper describes the dataset containing all bird specimens deposited in the Colección de Ciencias Naturales del Museo Universitario de la Universidad de Antioquia (MUA). We curated all the information associated with the bird specimens, including the georeferences and taxonomy, and published the database through the Global Biodiversity Information Facility network. During this process we checked the species identification and existing georeferences and completed the information when possible. The collection holds 663 bird specimens collected between 1940 and 2011. Even though most specimens are from Antioquia (70%), the collection includes material from several other departments and one specimen from the United States. The collection holds specimens from three endemic and endangered species (Coeligena orina, Diglossa gloriossisima, and Hypopirrhus pyrohipogaster), and includes localities poorly represented in other collections. The information contained in the collection has been used for biodiversity modeling, conservation planning and management, and we expect to further facilitate these activities by making it publicly available. PMID:24899851

  3. Birds of Antioquia: Georeferenced database of specimens from the Colección de Ciencias Naturales del Museo Universitario de la Universidad de Antioquia (MUA).

    Science.gov (United States)

    Rozo, Andrea Morales; Valencia, Fernando; Acosta, Alexis; Parra, Juan Luis

    2014-01-01

    The department of Antioquia, Colombia, lies in the northwestern corner of South America and provides a biogeographical link among divergent faunas, including Caribbean, Andean, Pacific and Amazonian. Information about the distribution of biodiversity in this area is of relevance for academic, practical and social purposes. This data paper describes the dataset containing all bird specimens deposited in the Colección de Ciencias Naturales del Museo Universitario de la Universidad de Antioquia (MUA). We curated all the information associated with the bird specimens, including the georeferences and taxonomy, and published the database through the Global Biodiversity Information Facility network. During this process we checked the species identification and existing georeferences and completed the information when possible. The collection holds 663 bird specimens collected between 1940 and 2011. Even though most specimens are from Antioquia (70%), the collection includes material from several other departments and one specimen from the United States. The collection holds specimens from three endemic and endangered species (Coeligena orina, Diglossa gloriossisima, and Hypopirrhus pyrohipogaster), and includes localities poorly represented in other collections. The information contained in the collection has been used for biodiversity modeling, conservation planning and management, and we expect to further facilitate these activities by making it publicly available.

  4. Absolute High-Precision Localisation of an Unmanned Ground Vehicle by Using Real-Time Aerial Video Imagery for Geo-referenced Orthophoto Registration

    Science.gov (United States)

    Kuhnert, Lars; Ax, Markus; Langer, Matthias; Nguyen van, Duong; Kuhnert, Klaus-Dieter

    This paper describes an absolute localisation method for an unmanned ground vehicle (UGV) if GPS is unavailable for the vehicle. The basic idea is to combine an unmanned aerial vehicle (UAV) to the ground vehicle and use it as an external sensor platform to achieve an absolute localisation of the robotic team. Beside the discussion of the rather naive method directly using the GPS position of the aerial robot to deduce the ground robot's position the main focus of this paper lies on the indirect usage of the telemetry data of the aerial robot combined with live video images of an onboard camera to realise a registration of local video images with apriori registered orthophotos. This yields to a precise driftless absolute localisation of the unmanned ground vehicle. Experiments with our robotic team (AMOR and PSYCHE) successfully verify this approach.

  5. Georeferenced Scans of National Oceanic and Atmospheric Administration (NOAA) T-Sheets Collected Along the New Jersey Coastline from 1839-1875

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Historical shoreline surveys were conducted by the National Ocean Service (NOS), dating back to the early 1800s. The maps resulting from these surveys, often called...

  6. Birds of Antioquia: Georeferenced database of specimens from the Colección de Ciencias Naturales del Museo Universitario de la Universidad de Antioquia (MUA

    Directory of Open Access Journals (Sweden)

    Andrea Morales Rozo

    2014-05-01

    Full Text Available The department of Antioquia, Colombia, lies in the northwestern corner of South America and provides a biogeographical link among divergent faunas, including Caribbean, Andean, Pacific and Amazonian. Information about the distribution of biodiversity in this area is of relevance for academic, practical and social purposes. This data paper describes the dataset containing all bird specimens deposited in the Colección de Ciencias Naturales del Museo Universitario de la Universidad de Antioquia (MUA. We curated all the information associated with the bird specimens, including the georeferences and taxonomy, and published the database through the Global Biodiversity Information Facility network. During this process we checked the species identification and existing georeferences and completed the information when possible. The collection holds 663 bird specimens collected between 1940 and 2011. Even though most specimens are from Antioquia (70%, the collection includes material from several other departments and one specimen from the United States. The collection holds specimens from three endemic and endangered species (Coeligena orina, Diglossa gloriossisima, and Hypopirrhus pyrohipogaster, and includes localities poorly represented in other collections. The information contained in the collection has been used for biodiversity modeling, conservation planning and management, and we expect to further facilitate these activities by making it publicly available.

  7. Georeferenced TIFF image displaying 1 meter resolution backscatter data collected by the U.S. Geological Survey in the Madison Swanson Marine Protected Area, Gulf of Mexico in 2000 (UTM Zone 16N, WGS 84, GeoTIFF image)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 22 square miles of the Madison Swanson Marine Protected Area (MPA) and Steamboat Lumps MPA, which are located...

  8. Principle and Method of Airborne Remote Sensing Direct Geo-referencing Using GPS/IMU%GPS/IMU用于航空遥感直接对地定位的原理与方法

    Institute of Scientific and Technical Information of China (English)

    王冬红; 范永弘; 王慧; 刘军

    2010-01-01

    阐述了GPS/IMU系统进行位置与姿态测量的基本原理,推导了利用GPS/IMU的导航解计算遥感器瞬时外方位元素的数学模型,并利用机载三线阵影像验证了GPS/IMU辅助直接对地定位的精度潜力.三组ADS40数据直接定位的试验结果表明,GPS/IMU提供的外方位元素具有较高的定位精度,平面精度优于2.5个像元,高程优于5.1个像元,但存在系统性的测量误差,在大比例尺遥感测绘作业中引入少量控制点参与平差仍是必须的.

  9. Series of aerial images over Marais des Cygnes National Wildlife Refuge, acquired February, 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is a georeferenced version of an original black and white aerial photograph downloaded from Earth Explorer (USGS). The original photo was georeferenced...

  10. Series of aerial images over Baca National Wildlife Refuge, acquired July, 1988

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes 21 georeferenced and clipped versions of aerial photographs from July 22nd, 1988, taken over Baca National Wildlife Refuge. A georeferenced...

  11. Series of aerial images over Monte Vista National Wildlife Refuge, acquired in 1960

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes 7 georeferenced and clipped versions of aerial photographs from August 1960, taken over Monte Vista National Wildlife Refuge. A georeferenced...

  12. Perspectives on DLI-2-Growing the Field [and] Digital Libraries Initiative - Phase 2: Fiscal Year 1999 Awards [and] Reference Linking for Journal Articles [and] Creating a Large-Scale Digital Library for Georeferenced Information [and] A Report on the PEAK Experiment: Usage and Economic Behavior.

    Science.gov (United States)

    Lesk, Michael; Griffin, Stephen M.; Caplan, Priscilla; Arms, William Y.; Zhu, Bin; Ramsey, Marshall; Ng, Tobun D.; Chen, Hsinchun; Schatz, Bruce; MacKie-Mason, Jeffrey K.; Riveros, Juan F.; Bonn, Maria. S.; Lougee, Wendy P.

    1999-01-01

    Describes the growth and accomplishments of Digital Libraries Initiative Phase 2 (DLI-2), lists performer and abstract information for Fiscal Year 1999 awards; progress in reference linking for journal articles with model; presents a Geospatial Knowledge Representation System (GKRS) prototype that integrates multiple knowledge sources to support…

  13. Geophysical Investigations, Scientific, Georeferenced sidescan imagery will be collected at key habitat areas and shipwreck sites within Pennsylvania’s Lake Erie waters using the Starfish 450F Sidescan Sonar. Imagery will be retained for the development of a mosaic at a later date., Published in 2014, Not Applicable scale, Pennsylvania Coastal Resources Management Program.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Geophysical Investigations, Scientific dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 2014. It...

  14. The High Precision Direct Georeferencing of SPOT-5 Remote-Sensing Imagery Based on Bias Matrix Calibration%基于偏移矩阵检校的SPOT-5遥感影像高精度直接定位

    Institute of Scientific and Technical Information of China (English)

    贾博; 姜挺; 江刚武; 张锐; 张笑微

    2012-01-01

    For high resolution remote-sensing satellites, the inconsistency between the camera coordinate system and the satellite body coordinate system can' t be neglected because of the displacement error between the camera and satellite platform, and the impact on the direct positioning accuracy will be caused by the comprehensive errors of ephemeris and attitude data error, etc. The bias matrix calibration model was established and was calibrated with at least two control points. The direct positioning accuracy can be improved by using the calibrated bias matrix. A certain area SPOT-5 imagery was used in the experiment to testify the proposed model, the result showed that the systematic error of imagery can be reduced by using the bias matrix calibration model, and its feasibility and validity was verified.%对于高分辨率遥感卫星,由于相机与卫星平台之间存在安装偏差而导致相机坐标系和卫星本体坐标系之间的不一致性,以及星历和姿态数据误差等综合误差将会对影像的定位精度产生影响.通过建立偏移矩阵检校模型,利用至少两个控制点对偏移矩阵进行检校,将检校的偏移矩阵用于影像直接定位可以提高定位精度.利用SPOT-5某地区影像数据对模型进行了实验验证,结果表明,偏移矩阵检校模型可以很好地减弱影像系统误差,从而验证了模型的可行性和正确性.

  15. Aerial Photography and Imagery, Ortho-Corrected, Historic 1958 black and white aerial photography for Wicomico County, Maryland. Imagery was scanned from historic hard copy images and georeferenced to current imagery. This data is available via map service., Published in 2010, 1:12000 (1in=1000ft) scale, Eastern Shore Regional GIS Cooperative.

    Data.gov (United States)

    NSGIC Regional | GIS Inventory — Aerial Photography and Imagery, Ortho-Corrected dataset current as of 2010. Historic 1958 black and white aerial photography for Wicomico County, Maryland. Imagery...

  16. Multi-Sensor Triangulation of Multi-Source Spatial Data

    Science.gov (United States)

    Habib, Ayman; Kim, Chang-Jae; Bang, Ki-In

    2007-01-01

    The introduced methodologies are successful in: a) Ising LIDAR features for photogrammetric geo-refererncing; b) Delivering a geo-referenced imagery of the same quality as point-based geo-referencing procedures; c) Taking advantage of the synergistic characteristics of spatial data acquisition systems. The triangulation output can be used for the generation of 3-D perspective views.

  17. The illuminating role of laser scanning digital elevation models in precision agriculture experimental designs - an agro-ecology perspective

    Science.gov (United States)

    Laser scanning data streams, when linked with multi-spectral, hyperspectral, apparent soil electro-conductivity (ECa), or other kinds of geo-referenced data streams, aid in the creation of maps that allow useful applications in agricultural systems. These combinations of georeferenced information p...

  18. Download this PDF file

    African Journals Online (AJOL)

    mcbee

    Remote Sensing for Mapping Wetland Floods in Kafue Flats,. Zambia*. M. S. Aduah and .... 2.3.1 Geo-referencing. Topographic maps and the Shuttle Radar Topogra- ... were used for image geo-referencing and GIS analy- sis. The topographic ...

  19. Fully automatic feature-based registration of mobile mapping and aerial nadir images for enabling the adjustment of mobile platform locations in gnss-denied urban environments

    NARCIS (Netherlands)

    Jende, P.; Nex, F.; Gerke, M.; Vosselman, G.; Heipke, C.

    2017-01-01

    Mobile Mapping (MM) has gained significant importance in the realm of high-resolution data acquisition techniques. MM is able to record georeferenced street-level data in a continuous (laser scanners) and/or discrete (cameras) fashion. MM?s georeferencing relies on a conjunction of Global Navigation

  20. ORTHOIMAGERY, SPALDING COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  1. ORTHOIMAGERY, CITY OF EMMONAK, ALASKA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  2. floodzones_grant_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  3. floodzones_pointecoupee_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  4. floodzones_madison_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  5. floodzones_bossier_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  6. floodzones_calcasieu_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  7. floodzones_terrebonne_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  8. floodzones_allen_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  9. floodzones_stjohnthebaptist_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  10. floodzones_orleans_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  11. floodzones_plaquemines_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  12. floodzones_iberia_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  13. floodzones_assumption_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  14. floodzones_ebatonrouge_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  15. floodzones_concordia_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  16. Brown County, Wisconsin Digital Orthophotography

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  17. Lake Bathymetric DEM Shaded Relief Image

    Data.gov (United States)

    Minnesota Department of Natural Resources — Geo-referenced, shaded relief image of lake bathymetry classified at 5-foot depth intervals. This dataset has a cell resolution of 5 meters (occasionally 10m) as...

  18. Grand Canyon VFR Chart - Aeronautical Information Services Digital Products

    Data.gov (United States)

    Department of Transportation — The Federal Aviation Administration (FAA) digital-Visual Chart series is designed to meet the needs of users who require georeferenced raster images of a FAA Visual...

  19. floodzones_avoyelles_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  20. floodzones_stmartin_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  1. Polygons of global undersea features for geographic searches (undersea_features.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A shapefile of 311 undersea features from all major oceans and seas has been created as an aid for retrieving georeferenced information resources. The geographic...

  2. OrthoImagery Submission for Kane County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  3. Orthoimagery Submission for Walworth County, WI, USA - MIP Walworth Portion Rock River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  4. Orthoimagery Submission for Washington County, WI, USA - MIP Washington Portion Rock River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  5. Orthoimagery Submission for Outagamie County, WI, USA - MIP Outagamie Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  6. Orthoimagery Submission for Oconto County, WI, USA - MIP Oconto Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  7. Orthoimagery Submission for Columbia County, WI, USA - MIP Columbia Portion Baraboo River Watershed RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  8. Orthoimagery Submission for Barron County, WI, USA - MIP Barron Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  9. Orthoimagery Submission for Sauk County, WI, USA - MIP Sauk Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  10. Orthoimagery Submission for Dodge County, WI, USA - MIP Dodge Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  11. Orthoimagery Submission for Waukesha County, WI, USA - MIP Waukesha Portion Rock River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  12. Orthoimagery Submission for Waupaca County, WI, USA - MIP Waupaca Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  13. Orthoimagery Submission for Columbia County, WI, USA - MIP Columbia Portion Baraboo River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  14. Orthoimagery Submission for Rock County, WI, USA - MIP Rock County Portion Rock River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  15. Orthoimagery Submission for Vernon County, WI, USA - MIP Vernon Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  16. ORTHOIMAGERY Submission for McLean COUNTY, ND

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  17. floodzones_stlandry_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  18. floodzones_rapides_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  19. GIS Map of Mosaicked LandSat 7 ETM+ Satellite Imagery of the Marshall Islands, Micronesia Federated States, and the Republic of Palau from January 1, 1999 to December 31, 2003 (NODC Accession 0067475)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These maps show for the first time an accurate georeferenced mosaic of the Marshall Islands, the Federated States of Micronesia, the Republic of Palau and their...

  20. floodzones_ascension_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  1. floodzones_ouachita_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  2. floodzones_natchitoches_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  3. floodzones_cameron_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  4. USDA-FSA-APFO Digital Ortho Mosaic

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  5. Guinea_WADC00321_ADBG_Guinea_Power_Plants

    Data.gov (United States)

    United Nations Cartographic Section — Data for power plants with total installed generating capacity > 10 mw from the Platts World Electric Power Plants Database (WEPP 2006). Plants were georeferenced...

  6. OrthoImagery Submission for Monmouth County, New Jersey

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  7. Rest Areas in the Western United States

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Rest areas in the western United States. Data was collected from various data sources including georeferenced locations obtained from other agencies, digitizied...

  8. The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments Riparian Buffer for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites

    Data.gov (United States)

    U.S. Environmental Protection Agency — This dataset represents the estimated density of georeferenced sites within individual, local NHDPlusV2 catchments and upstream, contributing watersheds riparian...

  9. ORTHOIMAGERY, Anne Arundel County, MD

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  10. OrthoImagery Submission for Cumberland County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  11. OrthoImagery submittal for Greene County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  12. Aerial Image over Ouray National Wildlife Refuge, Acquired on September 4, 1963 (Frame 121)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is a georeferenced version of an original black and white aerial photograph downloaded from Earth Explorer (USGS; www.earthexplorer.usgs.gov). The...

  13. Aerial Image over Ouray National Wildlife Refuge, Acquired on September 4, 1963 (Frame 135)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is a georeferenced version of an original black and white aerial photograph downloaded from Earth Explorer (USGS; www.earthexplorer.usgs.gov). The...

  14. Aerial Image over Ouray National Wildlife Refuge, Acquired on September 4, 1963 (Frame 134)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is a georeferenced version of an original black and white aerial photograph downloaded from Earth Explorer (USGS; www.earthexplorer.usgs.gov). The...

  15. Aerial Image over Ouray National Wildlife Refuge, Acquired on September 4, 1963 (Frame 88)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is a georeferenced version of an original black and white aerial photograph downloaded from Earth Explorer (USGS; www.earthexplorer.usgs.gov). The...

  16. OrthoImagery submittal for Posey County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  17. OrthoImagery submittal for Blackford County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  18. ORTHOIMAGERY, MITCHELL COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  19. OrthoImagery Submission for Vernon County, Wisconsin, USA (Baraboo River Project)

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  20. OrthoImagery Submission for Boone County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  1. ORTHOIMAGERY, FULTON COUNTY, OHIO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  2. Orthoimagery Submission for Crawford County, WI, USA - MIP Crawford Countywide DFIRM

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  3. ORTHOIMAGERY, MACON COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  4. OrthoImagery Submission for Knox County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  5. Orthoimagery Submission for Vilas County, WI

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  6. OrthoImagery submittal for Rush County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  7. ORTHOIMAGERY, BUFFALO COUNTY, WISCONSIN

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  8. OrthoImagery Submission for Christian County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  9. OrthoImagery submittal for Switzerland County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  10. ORTHOIMAGERY, Crisp COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  11. OrthoImagery Submission for Macon County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  12. OrthoImagery Submission for Moultrie County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  13. ORTHOIMAGERY, DOOLY COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  14. Series of aerial images over Quivira National Wildlife Refuge, acquired on June, 1985

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is of nine georeferenced aerial images taken over Quivira National Wildlife Refuge on June 19th and 27th, 1985. This data set is a clipped,...

  15. NAIP ORTHOIMAGERY, MORGAN COUNTY, UTAH

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  16. FEMA Q3 Floodways

    Data.gov (United States)

    Minnesota Department of Natural Resources — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  17. OrthoImagery Submission for Logan County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  18. floodzones_stjames_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  19. floodzones_lafourche_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  20. floodzones_iberville_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  1. floodzones_stbernard_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  2. U.S. Forest Service Tribal Lands Ceded to the United States

    Data.gov (United States)

    Department of Agriculture — A map service on the www that depicts sixty-seven maps from Royce’s 1897 report that have been scanned, georeferenced in JPEG2000 format, and digitized to create...

  3. OrthoImagery Submission for Albany County, New York

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  4. OrthoImagery Submission for Putnam County, New York

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  5. floodzones_lafayette_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  6. ORTHOIMAGERY, SHERIDAN COUNTY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  7. ORTHOIMAGERY, Alleghany County, VA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  8. ORTHOIMAGERY, Botetourt County, VA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  9. floodzones_livingston_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  10. Construction of a geographic information system for wildlife refuge planning: Seney National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Working cooperatively with the USFWS, the University of Minnesota Department of Forest Resources has been compiling geo-referenced data for each national wildlife...

  11. ORTHOIMAGERY, POTTER COUNTY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  12. OrthoImagery Submission for Wabash County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  13. OrthoImagery submittal for Hamilton County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  14. Tioga County - 24-inch Resolution Natural Color Orthoimagery

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  15. Series of aerial images over Marais des Cygnes National Wildlife Refuge, acquired in 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This dataset includes 10 georeferenced images, acquired on July 13, 1950 over portions of Marais des Cygnes National Refuge in eastern Kansas. This data set is a...

  16. Series of aerial images over Marais des Cygnes National Wildlife Refuge, acquired in 1957

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This dataset includes 8 georeferenced images, acquired on May 5th, 6th and 26th, 1957 over portions of Marais des Cygnes National Refuge in eastern Kansas. This data...

  17. Topographic Map image of the San Gorgonio Pass area, Riverside County, California.

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This Digital Raster Graphic (DRG) was created using scanned U.S. Geological Survey 7.5-minute 1 to 24,000 scale maps georeferenced in Universal Transverse Mercator...

  18. Series of aerial images over Quivira National Wildlife Refuge, acquired on October 28th and November 4th, 1954

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes four georeferenced versions of original black and white aerial photographs obtained from Earth Explorer (USGS) on October 28th and November...

  19. Series of aerial images over Bear River Migratory Bird Refuge, acquired in 1937

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This dataset includes 40 georeferenced images, acquired on September 25th, October 12th-13th, November 10th and December 1st, 1937 over portions of Bear River...

  20. ORTHOIMAGERY, MARICOPA COUNTY, AZ

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  1. ORTHOIMAGERY, DARKE COUNTY, OHIO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  2. OrthoImagery submittal for Wells County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  3. OrthoImagery Submission for White County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  4. OrthoImagery submittal for Cass County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  5. OrthoImagery Submission for Gallatin County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  6. Orthophotography of Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  7. ORTHOIMAGERY, GUNNISON COUNTY, COLORADO, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  8. OrthoImagery Submission for Saline County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  9. OrthoImagery submittal for Henry County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  10. The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites

    Data.gov (United States)

    U.S. Environmental Protection Agency — This dataset represents the estimated density of georeferenced sites within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on the...

  11. Series of aerial images over Quivira National Wildlife Refuge, acquired on September 27th and 29th, 1981

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is of seven georeferenced aerial images taken over Quivira National Wildlife Refuge on September 27th and 29th, 1981. This data set is a clipped,...

  12. ORTHOIMAGERY, WEBSTER COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  13. ORTHOIMAGERY, TAYLOR COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  14. ORTHOIMAGERY, SUMTER COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  15. ORTHOIMAGERY, WORTH COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  16. ORTHOIMAGERY, UPSON COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  17. ORTHOIMAGERY, TERRELL COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  18. ORTHOIMAGERY, CALHOUN COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  19. ORTHOIMAGERY, BUTTS COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  20. OrthoImagery Submission for Colfax County NE

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the surface of the Earth, collected by a sensor in which object displacement has been removed...

  1. ORTHOIMAGERY, THOMAS COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  2. OrthoImagery Submission for Howard County NE

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the surface of the Earth, collected by a sensor in which object displacement has been removed...

  3. ORTHOIMAGERY, LAMAR COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  4. ORTHOIMAGERY, Dougherty COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  5. ORTHOIMAGERY, HETTINGER COUNTY, NORTH DAKOTA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  6. OrthoImagery Submission for Christian County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  7. OrthoImagery submittal for Lagrange County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  8. OrthoImagery Submission for Dawes County NE

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  9. New Jersey 2007 - 2008 High Resolution Orthophotography

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  10. Orthoimagery Submission for Bayfield County, WI

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  11. Orthoimagery Submission for Dunn County, WI, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  12. ORTHOIMAGERY, Santa Clara, CA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  13. ORTHOIMAGERY, COLLIER COUNTY, FL, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  14. ORTHOIMAGERY, CRAWFORD COUNTY, OHIO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  15. Aerial Image over Flint Hills National Wildlife Refuge, Acquired on March 22, 1950 (Frame 1656)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Georeferenced image, acquired on March 22, 1950, over a portion of the Flint Hills National Wildlife Refuge. Image covers the eastern portion of the refuge including...

  16. ORTHOIMAGERY, Pittsylvania County, VA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  17. Aerial Image over Ouray National Wildlife Refuge, Acquired on August 11, 1953

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set is a georeferenced version of an original black and white aerial photograph downloaded from Earth Explorer (USGS; www.earthexplorer.usgs.gov). The...

  18. Rose Atoll Coral Monitoring Narrative

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Narrative report summarizes the results of coral monitoring at 11 georeferenced sites at Rose Atoll, American Samoa, undertaken by Dr. James Maragos, USFWS Coral...

  19. OrthoImagery Submission for Piatt County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  20. OrthoImagery submittal for Fulton County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  1. Orthoimagery Submission for Sauk County, WI, USA - MIP Sauk Portion Baraboo River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  2. OrthoImagery submittal for Orange County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  3. Orthoimagery Submission for Polk County, WI, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  4. OrthoImagery submittal for Carroll County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  5. Orthoimagery Submission for Jefferson County, WI, USA - MIP Jefferson Portion Rock River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  6. Orthoimagery Submission for Dane County, WI, USA - MIP Dane Portion Rock River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  7. US Forest Service Tribal Lands Ceded to the United States

    Data.gov (United States)

    US Forest Service, Department of Agriculture — A map service on the www that depicts sixty-seven maps from Royce’s 1897 report that have been scanned, georeferenced in JPEG2000 format, and digitized to create...

  8. Series of Aerial Images over Bear River Migratory Bird Refuge, Acquired on November 7th and 9th, 1965.

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes 22 georeferenced images, acquired on November 7th and 9th, 1965, over portions of Bear River Migratory Bird Refuge, in Box Elder County,...

  9. ORTHOIMAGERY, UINTAH COUNTY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  10. FigS7.txt

    Data.gov (United States)

    U.S. Environmental Protection Agency — This is an ascii file with georeferencing information containing the data plotted in Figure S7 of the supplemental information manuscript section. This dataset is...

  11. Orthoimagery Submission for Schenectady County, New York

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  12. OrthoImagery Submission for Nobles, MN

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  13. ORTHOIMAGERY, Otsego County, NY

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  14. Series of aerial images over Monte Vista National Wildlife Refuge, acquired November 1941

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes 31 georeferenced versions of original black and white aerial photographs acquired in digital form from the National Archives and Records...

  15. OrthoImagery Submission for Monmouth County, New Jersey

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  16. Polygons of global undersea features for geographic searches (undersea_features.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A shapefile of 311 undersea features from all major oceans and seas has been created as an aid for retrieving georeferenced information resources. The geographic...

  17. Series of aerial images over Baca National Wildlife Refuge, acquired in 1953

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes 23 georeferenced and clipped versions of aerial photographs acquired September 29th and October 1st, 1953, over Baca National Wildlife...

  18. Series of aerial images over Alamosa National Wildlife Refuge, acquired in 1953

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes 16 georeferenced and clipped versions of aerial photographs from September 29th and October 1st, 1953, taken over Alamosa National Wildlife...

  19. Series of aerial images over Alamosa National Wildlife Refuge, acquired July, 1988

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes seven georeferenced and clipped versions of aerial photographs from July 22nd, 1988, taken over Alamosa National Wildlife Refuge. A...

  20. Series of aerial images over Monte Vista National Wildlife Refuge, acquired August 26th, 1989

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes five georeferenced versions of color aerial photographs from August 26th, 1989, taken over Monte Vista National Wildlife Refuge. Like other...

  1. Orthoimagery Submission for Sauk County, WI, USA - MIP Sauk Portion Baraboo River RiskMap DFIRM Update

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  2. ORTHOIMAGERY, HIGHLANDS COUNTY, FL

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  3. ORTHOIMAGERY, LEE COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  4. ORTHOIMAGERY, Cecil County, MD

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  5. Digital Raster Graphics (DRG) Lambert

    Data.gov (United States)

    Kansas Data Access and Support Center — The Digital Raster Graphic-Lambert (DRG-Lam) is a raster image of a scanned USGS topographic map with the collar information clipped out, georeferenced to the...

  6. FigS8.txt

    Data.gov (United States)

    U.S. Environmental Protection Agency — This is an ASCII file with georeferencing information containing data plotted in Figure S8 of the supplemental information section of the manuscript. This dataset is...

  7. OrthoImagery submittal for Huntington County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  8. floodzones_acadia_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  9. ORTHOIMAGERY, MESA COUNTY, COLORADO, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  10. ORTHOIMAGERY, MARION COUNTY, OHIO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  11. HOUSTON COUNTY, ALABAMA ORTHOIMAGERY

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  12. Series of aerial images over Monte Vista National Wildlife Refuge, acquired July 13th, 1965

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes 31 georeferenced versions of black and white aerial photographs from July 13th, 1965, taken over Monte Vista National Wildlife Refuge. A...

  13. Aerial Image over Ouray National Wildlife Refuge, Acquired on August 27, 1965 (Frame 131)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Georeferenced image, acquired on August 27, 1965 over a portion of the Ouray National Wildlife Refuge. Image covers the northern portion of the refuge including...

  14. Series of aerial images over Monte Vista National Wildlife Refuge, acquired September 8, 1985

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This data set includes two georeferenced versions of color aerial photographs from September 8, 1985, taken over Monte Vista National Wildlife Refuge. A...

  15. OrthoImagery Submission for Franklin County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  16. Digital Raster Graphics (DRG) UTM NAD 83 County

    Data.gov (United States)

    Kansas Data Access and Support Center — The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid and tiled by...

  17. Digital Raster Graphics (DRG) UTM NAD 83 Clipped

    Data.gov (United States)

    Kansas Data Access and Support Center — The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. For display...

  18. Digital Raster Graphics (DRG) UTM NAD 27 Clipped

    Data.gov (United States)

    Kansas Data Access and Support Center — The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. For display...

  19. Sullivan County 30 centimeter Resolution Natural Color Orthoimagery Sullivan County 60 centimeter Resolution Panchromatic Orthoimagery

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  20. Aerial Image over Flint Hills National Wildlife Refuge, Acquired on April 14, 1948 (Frame 1155)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Georeferenced image, acquired on April 14, 1948, over a portion of the Flint Hills National Wildlife Refuge. Image covers the eastern portion of the refuge including...

  1. Orthoimagery Submission for La Crosse County, WI, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  2. OrthoImagery submittal for White County, Indiana

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  3. OrthoImagery Submission for Hardin County, Illinois, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for...

  4. Mapping of health facilities in Jimeta Metropolis: a digital approach ...

    African Journals Online (AJOL)

    Global Journal of Pure and Applied Sciences ... In planning for any suitable development in any field, the primary requirement is the ... CorelDraw!2 while Georeferencing and Digitizing was done using ILWIS3.1 academic Software packages.

  5. FEMA Q3 Flood Data

    Data.gov (United States)

    Kansas Data Access and Support Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  6. California Geological Survey Geologic Map Index

    Data.gov (United States)

    California Department of Resources — All the individual maps from the Geologic Atlas of California and the Regional Geologic map series have been georeferenced for display in a GIS (and viewable online...

  7. floodzones_catahoula_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  8. EU habitats of interest: an insight into Atlantic and Mediterranean beach and foredunes

    NARCIS (Netherlands)

    Feola, S.; Carranza, M.L.; Schaminee, J.H.J.; Acosta, A.T.R.; Janssen, J.A.M.

    2011-01-01

    Abstract We compared the Atlantic and Mediterranean beach and foredune habitats of European interest, focusing on floristic, structural and ecological features. We selected two representative sites of Atlantic (The Netherlands) and Mediterranean (Italy) coastal dunes. From a georeferenced vegetation

  9. Spring 2007 Orthophotography of Lake County, IL

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  10. floodzones_sttammany_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  11. floodzones_tangipahoa_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  12. floodzones_franklin_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  13. floodzones_stmary_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  14. floodzones_vermilion_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  15. floodzones_jefferson_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  16. floodzones_stcharles_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  17. A Biodiversity Informatics Approach to Ethnobotany: Meta-analysis of Plant Use Patterns in Ecuador

    DEFF Research Database (Denmark)

    de la Torre, Lucia; Cerón, Carlos E.; Balslev, Henrik

    2012-01-01

    We explored the relative importance of ecosystem diversity, socioeconomic, environmental, and geographical factors in determining the pattern and diversity of people’s plant use in Ecuador, based on existing ethnobotanic investigations and a large database of georeferenced plant collections...

  18. ORTHOIMAGERY, CAMDEN COUNTY, NEW JERSEY

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  19. ORTHOIMAGERY, HANCOCK COUNTY, OHIO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  20. ORTHOIMAGERY, SOLANO COUNTY, CALIFORNIA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  1. ORTHOIMAGERY Submission for MAHNOMEN COUNTY, MN

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for...

  2. ORTHOIMAGERY, SPALDING COUNTY, GA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital orthographic imagery datasets contain georeferenced images of the Earth?s surface, collected by a sensor in which object displacement has been removed for...

  3. NOAA TIFF Image- 5m Bathymetry (Sun Illuminated- Azimuth 225) of St. Croix (Buck Island), US Virgin Islands, 2004

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This georeferenced image represents 5 meter resolution bathymetry (sun illuminated with azimuth 225 and incline 45) of the north shore of St. Croix, US Virgin...

  4. Development and Evaluation of a Uav Based Mapping System for Remote Sensing and Surveying Applications

    Science.gov (United States)

    Eling, C.; Wieland, M.; Hess, C.; Klingbeil, L.; Kuhlmann, H.

    2015-08-01

    In recent years, unmanned aerial vehicles (UAVs) have increasingly been used in various application areas, such as in the remote sensing or surveying. For these applications the UAV has to be equipped with a mapping sensor, which is mostly a camera. Furthermore, a georeferencing of the UAV platform and/or the acquired mapping data is required. The most efficient way to realize this georeferencing is the direct georeferencing, which is based on an onboard multi-sensor system. In recent decades, direct georeferencing systems have been researched and used extensively in airborne, ship and land vehicle applications. However, these systems cannot easily be adapted to UAV platforms, which is mainly due to weight and size limitations. In this paper a direct georeferencing system for micro- and mini-sized UAVs is presented, which consists of a dual-frequency geodetic grade OEM GPS board, a low-cost single-frequency GPS chip, a tactical grade IMU and a magnetometer. To allow for cm-level position and sub-degree attitude accuracies, RTK GPS (real-time kinematic) and GPS attitude (GPS compass) determination algorithms are running on this system, as well as a GPS/IMU integration. Beside the direct georeferencing, also the precise time synchronization of the camera, which acts as the main sensor for mobile mapping applications, and the calibration of the lever arm between the camera reference point and the direct georeferencing reference point are explained in this paper. Especially the high accurate time synchronization of the camera is very important, to still allow for high surveying accuracies, when the images are taken during the motion of the UAV. Results of flight tests demonstrate that the developed system, the camera synchronization and the lever arm calibration make directly georeferenced UAV based single point measurements possible, which have cm-level accuracies on the ground.

  5. COMPARISON AND ANALYSIS OF NONLINEAR LEAST SQUARES METHODS FOR VISION BASED NAVIGATION (VBN) ALGORITHMS

    OpenAIRE

    Sheta, B.; M. Elhabiby; Sheimy, N.

    2012-01-01

    A robust scale and rotation invariant image matching algorithm is vital for the Visual Based Navigation (VBN) of aerial vehicles, where matches between an existing geo-referenced database images and the real-time captured images are used to georeference (i.e. six transformation parameters - three rotation and three translation) the real-time captured image from the UAV through the collinearity equations. The georeferencing information is then used in aiding the INS integration Kalman filter a...

  6. Plate tectonic raster reconstruction in GPlates

    OpenAIRE

    2014-01-01

    We describe a novel method implemented in the GPlates plate tectonic reconstruction software to interactively reconstruct arbitrarily high-resolution raster data to past geological times using a rotation model. The approach is based on the projection of geo-referenced raster data into a cube map followed by a reverse projection onto rotated tectonic plates on the surface of the globe. This decouples the rendering of a geo-referenced raster from its reconstruction, providing ...

  7. Evaluation of SAR Data as Source of Ground Control Information: First Results

    Science.gov (United States)

    Vassilaki, D. I.; Ioannidis, C.; Stamos, A. A.

    2013-05-01

    The high resolution imaging modes of modern SAR sensors has made SAR data compatible with optical images. SAR data offers various capabilities which can enhance the geometric correction process of optical images (accurate, direct and ground-independent georeferencing capabilities and global DEM products). In this paper the first results of an on-going study on the evaluation of SAR data as source of ground control information for the georeferencing of optical images are presented. The georeferencing of optical images using SAR data is in fact a co-registration problem which involves multimodal, mutitemporal, and multiresolution data. And although 2D transformations have proved to be insufficient for the georeferencing process, as they can not account for the distortions due to terrain, quite a few approaches on the registration of optical to SAR data using 2D-2D transformations can still be found in the literature. In this paper the performance of 2D-2D transformations is compared to the 3D-2D projective transformation over a greater area of Earth's surface with arbitrary terrain type. Two alternative forms of ground control information are used: points and FFLFs. The accuracy of the computed results is obtained using independent CPs and it is compared to the geolocation accuracy specification of the optical image, as well as to the accuracy of exhaustive georeferencing done by third parties.

  8. Satellite radar altimetry over ice. Volume 4: Users' guide for Antarctica elevation data from Seasat

    Science.gov (United States)

    Zwally, H. Jay; Major, Judith A.; Brenner, Anita C.; Bindschadler, Robert A.; Martin, Thomas V.

    1990-01-01

    A gridded surface-elevation data set and a geo-referenced data base for the Seasat radar altimeter data over Greenland are described. This is a user guide to accompany the data provided to data centers and other users. The grid points are on a polar stereographic projection with a nominal spacing of 20 km. The gridded elevations are derived from the elevation data in the geo-referenced data base by a weighted fitting of a surface in the neighborhood of each grid point. The gridded elevations are useful for the creating of large-scale contour maps, and the geo-referenced data base is useful for regridding, creating smaller-scale contour maps, and examinating individual elevation measurements in specific geographic areas. Tape formats are described, and a FORTRAN program for reading the data tape is listed and provided on the tape.

  9. DEM-Based SAR Pixel Area Estimation For Enhanced Geocoding Refinement And Radiometric Normalization

    Science.gov (United States)

    Frey, Othmar; Santoro, Maurizio; Werner, Charles L.; Wegmuller, Urs

    2012-01-01

    Precise terrain-corrected georeferencing of SAR images and derived products in range-Doppler coordinates is important with respect to several aspects, such as data interpretation, combination with other geodata products, and transformation of, e.g., terrain heights into SAR geometry as used in DInSAR applications. For georeferencing a look-up table is calculated and refined based on a coregistration of the actual SAR image to a simulated SAR image. The impact of using two different implementations of such a simulator of topography-induced radar brightness, an approach based on angular relationships and a pixel-area based method are discussed in this paper. It is found that the pixel-area-based method leads to considerable improvements with regard to the robustness of georeferencing and also with regard to radiometric normalization in layover- affected areas.

  10. Modelling Spatial Patterns of Outdoor Physical Activities using Mobile Sports Tracking Application Data

    NARCIS (Netherlands)

    Sileryte, R.; Nourian Ghadikolaee, P.; Van der Spek, S.C.

    2016-01-01

    The paper presents a workflow for collecting, structuring and processing geo-referenced recreational mobility data from a sports tracking application as to monitor recreational usage of urban spaces. The data collected include GPS trajectories of people walking, jogging, and running for recreational

  11. Activities of the Remote Sensing Information Sciences Research Group

    Science.gov (United States)

    Estes, J. E.; Botkin, D.; Peuquet, D.; Smith, T.; Star, J. L. (Principal Investigator)

    1984-01-01

    Topics on the analysis and processing of remotely sensed data in the areas of vegetation analysis and modelling, georeferenced information systems, machine assisted information extraction from image data, and artificial intelligence are investigated. Discussions on support field data and specific applications of the proposed technologies are also included.

  12. Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling

    Science.gov (United States)

    Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme; Menard, Patrick

    2015-01-01

    The specific requirements of UAV-photogrammetry necessitate particular solutions for system development, which have mostly been ignored or not assessed adequately in recent studies. Accordingly, this paper presents the methodological and experimental aspects of correctly implementing a UAV-photogrammetry system. The hardware of the system consists of an electric-powered helicopter, a high-resolution digital camera and an inertial navigation system. The software of the system includes the in-house programs specifically designed for camera calibration, platform calibration, system integration, on-board data acquisition, flight planning and on-the-job self-calibration. The detailed features of the system are discussed, and solutions are proposed in order to enhance the system and its photogrammetric outputs. The developed system is extensively tested for precise modeling of the challenging environment of an open-pit gravel mine. The accuracy of the results is evaluated under various mapping conditions, including direct georeferencing and indirect georeferencing with different numbers, distributions and types of ground control points. Additionally, the effects of imaging configuration and network stability on modeling accuracy are assessed. The experiments demonstrated that 1.55 m horizontal and 3.16 m vertical absolute modeling accuracy could be achieved via direct geo-referencing, which was improved to 0.4 cm and 1.7 cm after indirect geo-referencing. PMID:26528976

  13. Improving History Learning through Cultural Heritage, Local History and Technology

    Science.gov (United States)

    Magro, Graça; de Carvalho, Joaquim Ramos; Marcelino, Maria José

    2014-01-01

    History learning is many times considered dull and demotivating by young students. Probably this is due because the learning process is disconnected from these students' reality and experience. One possible way to overcome this state of matters is to use technology like mobile devices with georeferencing software and local history and heritage…

  14. Exploring place through user-generated content: Using Flickr to describe city cores

    Directory of Open Access Journals (Sweden)

    Livia Hollenstein

    2010-07-01

    Full Text Available Terms used to describe city centers, such as Downtown, are key concepts in everyday or vernacular language. Here, we explore such language by harvesting georeferenced and tagged metadata associated with 8 million Flickr images and thus consider how large numbers of people name city core areas. The nature of errors and imprecision in tagging and georeferencing are quantified, and automatically generated precision measures appear to mirror errors in the positioning of images. Users seek to ascribe appropriate semantics to images, though bulk-uploading and bulk-tagging may introduce bias. Between 0.5-2% of tags associated with georeferenced images analyzed describe city core areas generically, while 70% of all georeferenced images analyzed include specific place name tags, with place names at the granularity of city names being by far the most common. Using Flickr metadata, it is possible not only to describe the use of the term Downtown across the USA, but also to explore the borders of city center neighborhoods at the level of individual cities, whilst accounting for bias by the use of tag profiles.

  15. Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling.

    Science.gov (United States)

    Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme; Menard, Patrick

    2015-10-30

    The specific requirements of UAV-photogrammetry necessitate particular solutions for system development, which have mostly been ignored or not assessed adequately in recent studies. Accordingly, this paper presents the methodological and experimental aspects of correctly implementing a UAV-photogrammetry system. The hardware of the system consists of an electric-powered helicopter, a high-resolution digital camera and an inertial navigation system. The software of the system includes the in-house programs specifically designed for camera calibration, platform calibration, system integration, on-board data acquisition, flight planning and on-the-job self-calibration. The detailed features of the system are discussed, and solutions are proposed in order to enhance the system and its photogrammetric outputs. The developed system is extensively tested for precise modeling of the challenging environment of an open-pit gravel mine. The accuracy of the results is evaluated under various mapping conditions, including direct georeferencing and indirect georeferencing with different numbers, distributions and types of ground control points. Additionally, the effects of imaging configuration and network stability on modeling accuracy are assessed. The experiments demonstrated that 1.55 m horizontal and 3.16 m vertical absolute modeling accuracy could be achieved via direct geo-referencing, which was improved to 0.4 cm and 1.7 cm after indirect geo-referencing.

  16. An Activity-Based Learning Approach for Key Geographical Information Systems (GIS) Concepts

    Science.gov (United States)

    Srivastava, Sanjeev Kumar; Tait, Cynthia

    2012-01-01

    This study presents the effect of active learning methods of concepts in geographical information systems where students participated in a series of interlocked learning experiences. These activities spanned several teaching weeks and involved the creation of a hand drawn map that was scanned and geo-referenced with locations' coordinates derived…

  17. Features of Point Clouds and Functionalities of Processing Software

    NARCIS (Netherlands)

    Lemmens, M.J.P.M.

    2014-01-01

    To be useful, the millions or even billions of 3D points generated by a variety of active and passive sensors need to be stored, organised, combined, geo-referenced, measured, analysed and distributed within organisations or outward. Initially, the data is unorganised; software has been designed, de

  18. A quantitative and constraint-specific method to assess the potential impact of new agricultural technology : the case of frost resistant potato for the Altiplano (Peru and Bolivia)

    NARCIS (Netherlands)

    Hijmans, R.J.; Condori, B.; Carrillo, R.; Kropff, M.J.

    2003-01-01

    A quantitative and constraint-specific approach to assess the potential impact of new agricultural technology is described and applied to frost resistant potato cultivars for the Altiplano (Peru and Bolivia). The approach uses geo-referenced databases and a simulation model. Calculations are made fo

  19. Integrating Non-Spatial Preferences into Spatial Location Queries

    DEFF Research Database (Denmark)

    Qu, Qiang; Liu, Siyuan; Yang, Bin

    2014-01-01

    Increasing volumes of geo-referenced data are becoming available. This data includes so-called points of interest that describe businesses, tourist attractions, etc. by means of a geo-location and properties such as a textual description or ratings. We propose and study the efficient implementati...

  20. Estimating the location and shape of hybrid zones

    DEFF Research Database (Denmark)

    Guedj, Benjamin; Guillot, Gilles

    2011-01-01

    We propose a new model to make use of georeferenced genetic data for inferring the location and shape of a hybrid zone. The model output includes the posterior distribution of a parameter that quantifies the width of the hybrid zone. The model proposed is implemented in the GUI and command‐line v...

  1. Socio-economic data for global environmental change research

    DEFF Research Database (Denmark)

    Otto, Ilona; Biewald, Anne; Coumou, Dim;

    2015-01-01

    Subnational socio-economic datasets are required if we are to assess the impacts of global environmental changes and to improve adaptation responses. Institutional and community efforts should concentrate on standardization of data collection methodologies, free public access, and geo-referencing....

  2. physico-chemical and bacteriological analyses of drinking water in ...

    African Journals Online (AJOL)

    2, July, 2012, pp. ... (10) geo-referenced points in five communities of Ibeno Local Government Area ... water works for provision of good quality drinking water, modern sanitary ... health of the people of Ibeno Local Government Area. ... Nigerian Journal of Technology ... hazards such as gas flaring, oil spillage, washing of.

  3. Uses of GIS for Homeland Security and Emergency Management for Higher Education Institutions

    Science.gov (United States)

    Murchison, Stuart B.

    2010-01-01

    Geographic information systems (GIS) are a major component of the geospatial sciences, which are also composed of geostatistical analysis, remote sensing, and global positional satellite systems. These systems can be integrated into GIS for georeferencing, pattern analysis, visualization, and understanding spatial concepts that transcend…

  4. A framework for efficient spatial web object retrieval

    DEFF Research Database (Denmark)

    Wu, Dinging; Cong, Gao; Jensen, Christian S.

    2012-01-01

    The conventional Internet is acquiring a geospatial dimension. Web documents are being geo-tagged and geo-referenced objects such as points of interest are being associated with descriptive text documents. The resulting fusion of geo-location and documents enables new kinds of queries that take...... of the framework demonstrate that the paper’s proposal is capable of excellent performance...

  5. Features of Point Clouds and Functionalities of Processing Software

    NARCIS (Netherlands)

    Lemmens, M.J.P.M.

    2014-01-01

    To be useful, the millions or even billions of 3D points generated by a variety of active and passive sensors need to be stored, organised, combined, geo-referenced, measured, analysed and distributed within organisations or outward. Initially, the data is unorganised; software has been designed, de

  6. Development of a Global Marine Environmental Library

    Science.gov (United States)

    2010-06-01

    and L.L. Hill, “Issues in georeferenced digital libraries ,” D-LibMagazine, 10(5), May 2004. Retrieved August 29, 2008, from http://www.dlib.org/dlib... Digital Libraries ; Emory University, Atlanta; http://siointra.ucsd.edu/Resources/Publications/scripps/imdis-slides.pdf

  7. URBAN EXPANSION AND LOSS OF AGRICULTURAL LAND IN ...

    African Journals Online (AJOL)

    Dr Osondu

    1987-09-23

    Sep 23, 1987 ... technology and field studies were applied to carry out this research. ... urban Expansion, Agricultural Land, Home Garden, Agricultural Business ... factors. Urban expansion appears to have direct effect ... about increase in population and human activities, ... area boundary, georeferencing of the digital data,.

  8. Remote sensing information sciences research group

    Science.gov (United States)

    Estes, John E.; Smith, Terence; Star, Jeffrey L.

    1988-01-01

    Research conducted under this grant was used to extend and expand existing remote sensing activities at the University of California, Santa Barbara in the areas of georeferenced information systems, matching assisted information extraction from image data and large spatial data bases, artificial intelligence, and vegetation analysis and modeling. The research thrusts during the past year are summarized. The projects are discussed in some detail.

  9. Montane conifer fuel dynamics, Yosemite National Park

    Science.gov (United States)

    van Wagtendonk, J.W.; Moore, P.E.

    1997-01-01

    Litter and woody fuel accumulation rates over 7 years for 7 montane Sierra Nevada conifer species, including giant sequoia, ponderosa pine, sugar pine, Jeffrey pine, incense-cedar and white fir. Data are from four sites per size class per species with four size classes each. Nonspatial, georeferenced.

  10. Site-specific crop management using geophysical proximal sensors

    Science.gov (United States)

    Key components of site-specific crop management are (i) identifying the site-specific factors that influence within-field crop yield variation and (ii) spatially characterizing those factors. Geo-referenced measurements of apparent soil electrical conductivity (ECa) provide a potential means of cha...

  11. Demonstration and Hands-on Exercises with the Estuary Data Mapper

    Science.gov (United States)

    The U.S. Environmental Protection Agency (US EPA) is developing e-Estuary, a decision-support system for applications of the Clean Water Act in coastal management. E-Estuary has three elements: an estuarine geo-referenced relational database, watershed GIS coverages, and tools t...

  12. Geographical Information Systems (GIS) Mapping of Environmental Samples across College Campuses

    Science.gov (United States)

    Purvis-Roberts, Kathleen L.; Moeur, Harriet P.; Zanella, Andrew

    2007-01-01

    In this laboratory experiment, students take environmental samples at various locations around the college campuses, take geospatial coordinates with a global position systems (GPS) unit, and map their results on a geo-referenced campus map with geographical information systems (GIS) software. Nitrogen dioxide air pollution sampling is used as an…

  13. From soil map to digital database: land resources inventories, SOTER and its applications

    NARCIS (Netherlands)

    Dijkshoorn, J.A.

    2002-01-01

    Readily accessible information of up-to-data geo-referenced land resources is being requested with increasing frequency. This demand comes not only from the traditional group of researchers on land resources, but also from others such as the environmentalists using land resource data for their model

  14. Development of soil and terrain digital database for major food-growing regions of India for resource planning

    NARCIS (Netherlands)

    Chandran, P.; Tiwary, P.; Bhattacharyya, T.; Mandal, C.; Prasad, J.; Ray, S.K.; Sarkar, D.; Pal, D.K.; Dijkshoorn, J.A.; Batjes, N.H.; Bindraban, P.S.; Thakre, S.

    2014-01-01

    Soil information system in SOTER (soil and terrain digital database) framework is developed for the Indo-Gangetic Plains (IGP) and black soil regions (BSR) of India with the help of information from 842 georeferenced soil profiles including morphological, physical and chemical properties of soils in

  15. Digital image monitoring to optimise safe port operation

    CSIR Research Space (South Africa)

    Phelp, D

    2008-11-01

    Full Text Available This paper describes a low cost video system ‘Harbour Watch’, which can be used to support safe port operations, especially in developing countries. Preset digital images are geo-referenced and then archived for later analysis to improve...

  16. Nuevas plantas alóctonas relevantes para la Comunidad Valenciana

    Directory of Open Access Journals (Sweden)

    Emilio Laguna Lumbreras

    2012-04-01

    Full Text Available Se indica la presencia en la Comunidad Valenciana de diversas especies vegetales alóctonas de las que no existían hasta ahora citas o datos georreferenciados.SUMMARY: The presence of several exotic plants in the Valencian Community (Spain, eithout former citations or geo-referenced indications, are given.

  17. Methods for georectification and spectral scaling of remote imagery using ArcView, ArcGIS, and ENVI

    Science.gov (United States)

    Remote sensing images can be used to support variable-rate (VR) application of material from aircraft. Geographic coordinates must be assigned to an image (georeferenced) so that the variable-rate system can determine where in the field to apply these inputs and adjust the system when a zone has bee...

  18. Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling

    Directory of Open Access Journals (Sweden)

    Mozhdeh Shahbazi

    2015-10-01

    Full Text Available The specific requirements of UAV-photogrammetry necessitate particular solutions for system development, which have mostly been ignored or not assessed adequately in recent studies. Accordingly, this paper presents the methodological and experimental aspects of correctly implementing a UAV-photogrammetry system. The hardware of the system consists of an electric-powered helicopter, a high-resolution digital camera and an inertial navigation system. The software of the system includes the in-house programs specifically designed for camera calibration, platform calibration, system integration, on-board data acquisition, flight planning and on-the-job self-calibration. The detailed features of the system are discussed, and solutions are proposed in order to enhance the system and its photogrammetric outputs. The developed system is extensively tested for precise modeling of the challenging environment of an open-pit gravel mine. The accuracy of the results is evaluated under various mapping conditions, including direct georeferencing and indirect georeferencing with different numbers, distributions and types of ground control points. Additionally, the effects of imaging configuration and network stability on modeling accuracy are assessed. The experiments demonstrated that 1.55 m horizontal and 3.16 m vertical absolute modeling accuracy could be achieved via direct geo-referencing, which was improved to 0.4 cm and 1.7 cm after indirect geo-referencing.

  19. Modeling streams and hydrogeomorphic attributes in Oregon from digital and field data

    Science.gov (United States)

    Sharon E. Clarke; Kelly M. Burnett; Daniel J. Miller

    2008-01-01

    Managers, regulators, and researchers of aquatic ecosystems are increasingly pressed to consider large areas. However, accurate stream maps with geo-referenced attributes are uncommon over relevant spatial extents. Field inventories provide high-quality data, particularly for habitat characteristics at fine spatial resolutions (e.g., large wood), but are costly and so...

  20. Toward an open-access global database for mapping, control, and surveillance of neglected tropical diseases

    DEFF Research Database (Denmark)

    Hürlimann, Eveline; Schur, Nadine; Boutsika, Konstantina

    2011-01-01

    for monitoring and evaluation. What is currently missing is a georeferenced global database for NTDs providing open-access to the available survey data that is constantly updated and can be utilized by researchers and disease control managers to support other relevant stakeholders. We describe the steps taken...

  1. Detection of decadal shoreline changes along Dhamara and Maipura coast, Odisha, India

    Digital Repository Service at National Institute of Oceanography (India)

    ManiMurali, R.; Dhiman, R.; Jayakumar, S.; Ilangovan, D.; Vethamony, P.

    in ERDAS Imagine 9.1. The study area is a part of different scenes of satellite imagery. Mosaic image was prepared for different scenes and then subset of study area was created for further processing. All satellite imagery was geo-referenced and RMSE...

  2. The Performance Analysis of a Uav Based Mobile Mapping System

    Science.gov (United States)

    Tsai, M. L.; Chiang, K. W.; Tseng, Y. H.; Rau, J. Y.; Huang, Y. W.; Lo, C. F.

    2012-07-01

    In order to facilitate applications such as environment detection or disaster monitoring, developing a quickly and low cost system to collect near real time spatial information is very important. Such a rapid spatial information collection capability has become an emerging trend in the technology of remote sensing and mapping application. In this study, a fixed-wing UAV based spatial information acquisition platform is developed and evaluated. The proposed UAV based platform has a direct georeferencing module including an low cost INS/GPS integrated system, low cost digital camera as well as other general UAV modules including immediately video monitoring communication system. This direct georeferencing module is able to provide differential GPS processing with single frequency carrier phase measurements to obtain sufficient positioning accuracy. All those necessary calibration procedures including interior orientation parameters, the lever arm and boresight angle are implemented. In addition, a flight test is performed to verify the positioning accuracy in direct georeferencing mode without using any ground control point that is required for most of current UAV based photogrammetric platforms. In other word, this is one of the pilot studies concerning direct georeferenced based UAV photogrammetric platform. The preliminary results in term of positioning accuracy in direct georeferenced mode without using any GCP illustrate horizontal positioning accuracies in x and y axes are both less than 20 meters, respectively. On the contrary, the positioning accuracy of z axis is less than 50 meters with 600 meters flight height above ground. Such accuracy is good for near real time disaster relief. Therefore, it is a relatively safe and cheap platform to collect critical spatial information for urgent response such as disaster relief and assessment applications where ground control points are not available.

  3. Historical shoreline for New Jersey (1839 to 1875): T-sheets and vector digital data

    Science.gov (United States)

    Terrano, Joseph F.; Smith, Kathryn E. L.

    2016-01-01

    Historical shoreline surveys were conducted by the National Ocean Service (NOS), dating back to the early 1800s. The maps resulting from these surveys, often called t-sheets, provide a reference of historical shoreline position that can be compared to modern data to identify shoreline change. The t-sheets are stored at the National Archives and many have been scanned by the National Oceanic and Atmospheric Administration (NOAA) and are available on the NOAA Shoreline website (http://www.shoreline.noaa.gov/data/datasheets/t-sheets.html). While some scanned t-sheets were georeferenced and digitized by NOAA, others remain as non-georeferenced raster files (http://nosimagery.noaa.gov/images/shoreline_surveys/survey_scans/NOAA_Shoreline_Survey_Scans.html).This data set features georeferenced t-sheets and digitized historic shoreline for the New Jersey coastline from 1839 to 1875. The data were scanned by NOAA, but were not georeferenced. The t-sheets included in this data release are: T-121 (1839), T-119 Part 1 (1841), T-1084 (1868), T-1166 (1870), T-1333 (1871), T-1315a (1872), T-1371 (1874), T-1407 (1875). Digital files were georeferenced, corrected to a modern datum, and shorelines digitized to provide a vector polyline depicting the historical shoreline position. All shorelines, including the foreshore, backshore, mainland and island shorelines were delineated and digitized for each survey using ArcMap 10.3.1. This data release includes 8 raster t-sheets and 1 vector shoreline. These shorelines were digitized for use in long-term shoreline and wetland analyses for Hurricane Sandy wetland physical change assessment.

  4. Reduction of livelihood risk for river bank erosion affected villagers

    Science.gov (United States)

    Majumder, S. Sen; Fox, D. M.; Chakrabari, S.; Bhandari, G.

    2014-12-01

    Bank erosion process of the Ganga River created a serious livelihood risk for the villagers situated on left bank of the river in Malda district of the State of West Bengal, India since last four decades. Due to the erosion of agriculture land by the river, most of the villagers having agriculture as their only means of livelihood became jobless suddenly. Presently they are living in a miserable condition. One of the main objectives of this paper is to find out an alternative means of livelihood for the victims to improve their miserable socio-economic condition. It has been found from field survey that some erosion affected villagers have started to live and practice agriculture temporarily on the riverine islands (large and stable since thirteen years) as these islands have very fertile soil. If the re-emerged land plots can again be demarcated on the newly formed islands and distributed among the landless people to practice agriculture over there, then it will be a useful alternative livelihood strategy for the victims. The demarcation of re-emerged plots can be achieved by georeferencing the cadastral maps and then overlaying the plots on the present river course. In the present study area geo-referencing process of the cadastral maps became a serious issue as the study area has been very dynamic in terms of land cover and land use. Most of the villages were lost into the river course. Thus the common permanent features, required for geo-referencing, shown in the cadastral maps (surveyed during 1954-1962) were not found in the present satellite images. The second important objective of the present study is to develop a proper methodology for geo-referencing the cadastral maps of this area. The Spatial Adjustment Transformation and Automatic Digitization tools of Arc GIS were used to prepare geo-referenced plot maps. In Projective Transformation method the geometrically corrected block maps having village boundaries were used as source file. Then the

  5. Remote identification of a shipwreck site from MBES backscatter.

    Science.gov (United States)

    Masetti, Giuseppe; Calder, Brian

    2012-11-30

    The method described attempts to remotely identify the shape of an anthropogenic object, such as a wreck of a modern vessel, using reflectivity data from Multi-Beam Echosounder (MBES) systems. In the beam domain, the backscatter strength values - geometrically and radiometrically corrected - are used to extract a large number of Gray Level Co-occurrence Matrix (GLCM) features with different input parameters. Principal Component Analysis (PCA) is applied in order to achieve dimensionality reduction whilst a K-means algorithm clusters as "shipwreck site" a large number of beams for each line. After the geo-referencing process, a K-nearest-neighbors (K-NN) technique is applied as a filter for possible misclassifications. Finally, the shape of the shipwreck site is defined from the georeferenced beams using the α-shape method, constructing an output compatible with Geographic Information Systems (GIS).

  6. A linear regression solution to the spatial autocorrelation problem

    Science.gov (United States)

    Griffith, Daniel A.

    The Moran Coefficient spatial autocorrelation index can be decomposed into orthogonal map pattern components. This decomposition relates it directly to standard linear regression, in which corresponding eigenvectors can be used as predictors. This paper reports comparative results between these linear regressions and their auto-Gaussian counterparts for the following georeferenced data sets: Columbus (Ohio) crime, Ottawa-Hull median family income, Toronto population density, southwest Ohio unemployment, Syracuse pediatric lead poisoning, and Glasgow standard mortality rates, and a small remotely sensed image of the High Peak district. This methodology is extended to auto-logistic and auto-Poisson situations, with selected data analyses including percentage of urban population across Puerto Rico, and the frequency of SIDs cases across North Carolina. These data analytic results suggest that this approach to georeferenced data analysis offers considerable promise.

  7. Open source technologies for delivering historical maps online - case studies at the National Library of Scotland

    Directory of Open Access Journals (Sweden)

    Christopher Fleet

    2012-11-01

    Full Text Available Over the last four years, the National Library of Scotland has saved money and improved user access to online historical maps through the implementation of new open source technologies. These new tools include a new Viewer for MrSID images using OpenLayers, a collaborative Georeferencer application, new Tile Map Services for delivering georeferenced historical maps online, and a new GeoServer and OpenLayers application for accessing 44,000 series maps as clickable indexes. All of these applications were developed by Petr Pridal / Klokan Technologies, in collaboration with the National Library of Scotland, and all of them are easily extendible to other map libraries. These open source tools also provide an excellent basis for collaboration with other map libraries, sharing technology, experience and advice.

  8. Sites for locations of nuclear reactors; Sitios para emplazamientos de reactores nucleares

    Energy Technology Data Exchange (ETDEWEB)

    Balcazar, M.; Huerta, M.; Lopez, A., E-mail: miguel.balcazar@inin.gob.mx [ININ, Carretera Mexico-Toluca s/n, 52750 Ocoyoacac, Estado de Mexico (Mexico)

    2014-10-15

    A restriction on sites of nuclear energy is the history of seismic activity, in its magnitude (Richter) and intensity (Mercalli). This article delimits the areas of greatest magnitude and national seismic intensity, with restrictions of ground acceleration; the supplement areas with a low magnitude of seismic activity are shown. Potential sites for the location of these sites are introduced into a geographic information system. The set of geo-referenced data contains the location of the active volcanic manifestations; the historical record of earthquake epicenters, magnitudes and intensities; major geological faults; surface hydrology and water bodies; location of population density; protected areas; contour lines; the rock type or geology. The geographic information system allows entering normative criteria and environmental restrictions that correlate with geo-referenced data described above, forms both probable and exclusion areas for the installation of nuclear sites. (Author)

  9. HIGH-PRECISION POSITIONING AND REAL-TIME DATA PROCESSING OF UAV-SYSTEMS

    Directory of Open Access Journals (Sweden)

    M. Rieke

    2012-09-01

    Full Text Available Available micro-sized Unmanned Aerial Vehicles (UAVs in the civilian domain currently make use of common GPS receivers and do not address scenarios where high-precision positioning of the UAV is an inevitable requirement. However, for use cases such as creating orthophotos using direct georeferencing, an improved positioning needs to be developed. This article analyses the requirements for integrating Real Time Kinematic positioning into micro-sized UAVs. Additionally, it describes the data processing and synchronisation of the high-precision position data for a workflow of orthorectification of aerial imagery. Preliminary results are described for the use case of precision farming. The described approach for positioning has the potential to achieve a positional accuracy of 1–3 cm, which can be considered as adequate for direct georeferencing of aerial imagery.

  10. In-situ assessment of metal contamination via portable X-ray fluorescence spectroscopy: Zlatna, Romania.

    Science.gov (United States)

    Weindorf, David C; Paulette, Laura; Man, Titus

    2013-11-01

    Zlatna, Romania is the site of longtime mining/smelting operations which have resulted in widespread metal pollution of the entire area. Previous studies have documented the contamination using traditional methods involving soil sample collection, digestion, and quantification via inductively coupled plasma atomic emission spectroscopy or atomic absorption. However, field portable X-ray fluorescence spectroscopy (PXRF) can accurately quantify contamination in-situ, in seconds. A PXRF spectrometer was used to scan 69 soil samples in Zlatna across multiple land use types. Each site was georeferenced with data inputted into a geographic information system for high resolution spatial interpolations. These models were laid over contemporary aerial imagery to evaluate the extent of pollution on an individual elemental basis. Pb, As, Co, Cu, and Cd exceeded governmental action limits in >50% of the sites scanned. The use of georeferenced PXRF data offers a powerful new tool for in-situ assessment of contaminated soils.

  11. Satellite radar altimetry over ice. Volume 2: Users' guide for Greenland elevation data from Seasat

    Science.gov (United States)

    Zwally, H. Jay; Major, Judith A.; Brenner, Anita C.; Bindschadler, Robert A.; Martin, Thomas V.

    1990-01-01

    A gridded surface-elevation data set and a geo-referenced data base for the Seasat radar altimeter data over Antarctica are described. It is intended to be a user's guide to accompany the data provided to data centers and other users. The grid points are on a polar stereographic projection with a nominal spacing of 20 km. The gridded elevations are derived from the elevation data in the geo-referenced data base by a weighted fitting of a surface in the neighborhood of each grid point. The gridded elevations are useful for the creating smaller-scale contour maps, and examining individual elevation measurements in specific geographic areas. Tape formats are described, and a FORTRAN program for reading the data tape is listed and provided on the tape.

  12. Roman viticulture analysis based on Latin agronomists and the application of a geographic information system in lower Guadalquivir

    Directory of Open Access Journals (Sweden)

    Pedro Trapero Fernández

    2016-05-01

    Full Text Available The advancement in the historical research of business activities, such as ancient agriculture and specifically Roman viticulture, requires the knowledge of the productive sites. This research will propose a way to interconnect the information contained in Latin agronomic tradition, in order to choose the placement of a production unit, using a geographical information system (GIS. The Latin agronomist information, together with current agricultural knowledge, may lead to a set of measurable, georeferencing criteria for future prospecting, such as land orientation to the winds and insolation, the soil types and the slope. Also, the proximity to terrestrial, fluvial and maritime communication routes, as well as cities and water supply will be assessed. This methodology is applied in the territory of the lower Guadalquivir (southwest Spain achieving measurable criteria on a georeferenced map, being able to classify the data and create cartography that shows the best places for future archaeological prospecting.

  13. Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

    DEFF Research Database (Denmark)

    Ekpo, Uwem F.; Hürlimann, Eveline; Schur, Nadine

    2013-01-01

    Schistosomiasis prevalence data for Nigeria were extracted from peer-reviewed journals and reports, geo-referenced and collated in a nationwide geographical information system database for the generation of point prevalence maps. This exercise revealed that the disease is endemic in 35 of the cou......Schistosomiasis prevalence data for Nigeria were extracted from peer-reviewed journals and reports, geo-referenced and collated in a nationwide geographical information system database for the generation of point prevalence maps. This exercise revealed that the disease is endemic in 35......% confidence interval (CI): 22.8-23.1%). The model suggests that the mean temperature, annual precipitation and soil acidity significantly influence the spatial distribution. Prevalence estimates, adjusted for school-aged children in 2010, showed that the prevalence is...

  14. Extraction of tree crowns from mobile laser scanning data using a marked point process model

    Science.gov (United States)

    Li, Jonathan; Yu, Yongtao; Guan, Haiyan; Gong, Zheng

    2016-03-01

    For the purpose of realistic visualisation in 3D city models, we present a marked point process based method for extracting tree-crowns from mobile laser scanning (MLS) data. First, we apply a modified IDW interpolation to generate a geo-referenced feature image, by which a histogram analysis is applied to separate high objects(e.g. trees and lightpoles) from low objects(e.g. road, ground, low vegetation). Next, we calculate grey differences of each pixel with its neighbors to find the local maxima as potential tree-crown seeds, and then use a grouping-and-centralizing procedure to remove the redundants from the seeds. Finally, we employ a marked point process to the generated geo-referenced image via the seeds. Two experiments have been conducted to test the efficiency and feasibility of our tree-extraction algorithm using RIEGL VMX-450 MLS data.

  15. Historical Air Photo Digitization Project University of Waterloo Map Library

    Directory of Open Access Journals (Sweden)

    Eva Dodsworth

    2008-12-01

    Full Text Available The University Map Library (UML at the University of Waterloo developed an onlinecollection of digitized and georeferenced aerial photography of the Kitchener-Waterlooarea from the 1930s and 1940s. Using GIS technology, the air photos were digitizedwith geographical coordinate tags for use in GIS software programs including onlinemapping applications such as Google Earth (GE. By creating and offeringdownloadable georeferenced images compatible with popular mapping tools, the airphotos have gained significant popularity and utilization by not only regular library usersbut by community groups, organizations and corporations who have never used libraryresources before. The integration of modern technology with traditional paper mappinghas proven to be both a method of preservation and a means of increasing and varyingutilization of the collection.

  16. Road marking features extraction using the VIAPIX® system

    Science.gov (United States)

    Kaddah, W.; Ouerhani, Y.; Alfalou, A.; Desthieux, M.; Brosseau, C.; Gutierrez, C.

    2016-07-01

    Precise extraction of road marking features is a critical task for autonomous urban driving, augmented driver assistance, and robotics technologies. In this study, we consider an autonomous system allowing us lane detection for marked urban roads and analysis of their features. The task is to relate the georeferencing of road markings from images obtained using the VIAPIX® system. Based on inverse perspective mapping and color segmentation to detect all white objects existing on this road, the present algorithm enables us to examine these images automatically and rapidly and also to get information on road marks, their surface conditions, and their georeferencing. This algorithm allows detecting all road markings and identifying some of them by making use of a phase-only correlation filter (POF). We illustrate this algorithm and its robustness by applying it to a variety of relevant scenarios.

  17. Remote Sensing Information Sciences Research Group, year four

    Science.gov (United States)

    Estes, John E.; Smith, Terence; Star, Jeffrey L.

    1987-01-01

    The needs of the remote sensing research and application community which will be served by the Earth Observing System (EOS) and space station, including associated polar and co-orbiting platforms are examined. Research conducted was used to extend and expand existing remote sensing research activities in the areas of georeferenced information systems, machine assisted information extraction from image data, artificial intelligence, and vegetation analysis and modeling. Projects are discussed in detail.

  18. If Alonso was Right: Residual Land Price, Accessibility and Urban Attraction

    OpenAIRE

    Ahlfeldt, Gabriel M.

    2008-01-01

    This study investigates whether accessibility shapes the attractiveness of residential land as predicted by theory. A spatial hedonic analysis is conducted for the metropolitan area of Berlin, Germany, using a large set of georeferenced property transactions and micro-level data. We find that the nuclei of residential land price and employment density gradients are separated by approx. 10 km, which essentially contradicts theoretical implications. Also, environmental externalities arising fro...

  19. Error Analysis for the Airborne Direct Georeferincing Technique

    Science.gov (United States)

    Elsharkawy, Ahmed S.; Habib, Ayman F.

    2016-10-01

    Direct Georeferencing was shown to be an important alternative to standard indirect image orientation using classical or GPS-supported aerial triangulation. Since direct Georeferencing without ground control relies on an extrapolation process only, particular focus has to be laid on the overall system calibration procedure. The accuracy performance of integrated GPS/inertial systems for direct Georeferencing in airborne photogrammetric environments has been tested extensively in the last years. In this approach, the limiting factor is a correct overall system calibration including the GPS/inertial component as well as the imaging sensor itself. Therefore remaining errors in the system calibration will significantly decrease the quality of object point determination. This research paper presents an error analysis for the airborne direct Georeferencing technique, where integrated GPS/IMU positioning and navigation systems are used, in conjunction with aerial cameras for airborne mapping compared with GPS/INS supported AT through the implementation of certain amount of error on the EOP and Boresight parameters and study the effect of these errors on the final ground coordinates. The data set is a block of images consists of 32 images distributed over six flight lines, the interior orientation parameters, IOP, are known through careful camera calibration procedure, also 37 ground control points are known through terrestrial surveying procedure. The exact location of camera station at time of exposure, exterior orientation parameters, EOP, is known through GPS/INS integration process. The preliminary results show that firstly, the DG and GPS-supported AT have similar accuracy and comparing with the conventional aerial photography method, the two technologies reduces the dependence on ground control (used only for quality control purposes). Secondly, In the DG Correcting overall system calibration including the GPS/inertial component as well as the imaging sensor itself

  20. Assessing migration patterns in Passerina ciris using the world’s bird collections as an aggregated resource

    OpenAIRE

    Ethan Linck; Bridge, Eli S.; Jonah M. Duckles; Adolfo G. Navarro-Sigüenza; Sievert Rohwer

    2016-01-01

    Natural history museum collections (NHCs) represent a rich and largely untapped source of data on demography and population movements. NHC specimen records can be corrected to a crude measure of collecting effort and reflect relative population densities with a method known as abundance indices. We plotted abundance index values from georeferenced NHC data in a 12-month series for the new world migratory passerine Passerina ciris across its molting and wintering range in Mexico and Central Am...

  1. Evaluating Cyclist Patterns Using GPS Data from Smartphones

    OpenAIRE

    BERNARDI, Silvia

    2016-01-01

    In recent years the availability of GPS data has seen as a significant improvement in data accuracy, continuity and quality, due to the spread of smartphones and mobile applications for self-localization and navigation. GPS datasets provide analysts with geo-referenced information about users’ mobility and habits. The first part of the thesis consisted of an analysis of the context of bicycle facilities for the city of Bologna, Italy, made through experimental measures of cycleway and roa...

  2. Density and distribution of Patella ferruginea in a Marine Protected Area (western Sardinia, Italy): Constraint analysis for population conservation

    OpenAIRE

    Coppa, S.; G. A. de Lucia; Massaro, G.; Magni, P

    2012-01-01

    The endemic limpet Patella ferruginea is the most endangered invertebrate of the Mediterranean Sea. Our study examined a population of P. ferruginea in the Marine Protected Area of Penisola del Sinis - Isola di Mal di Ventre (western Sardinia, Italy). During the summer 2009, we carried out a systematic census of P. ferruginea along a 8114 m georeferenced perimeter of coast in the no take-no entry zone to assess its density, spatial distribution, and morphometric characteristics. Our aim was t...

  3. Sediment concentration and bed form structures of Gulf of Cambay from remote sensing

    Digital Repository Service at National Institute of Oceanography (India)

    Kunte, P.D.

    Journals Consortium] At: 05:44 30 March 2008 sediment concentration was carried out using OCM data processing software version 1.4 developed at Regional Remote Sensing Service Centre (RRSSC), Nagpur, India however, computation algorithms of the software... data processing software and SSC were estimated. Using a commercial GIS software package, five geo-referenced sediment concentra- tion maps were prepared (figure 3). In addition to SSC, using the same program, chlorophyll and yellow substances were also...

  4. Los no lugares y el mundo de las aguas: Aproximación al territorio ancestral de una comunidad amazónica

    OpenAIRE

    2015-01-01

    Characterization of an ancestral territory of the indigenous community of Macedonia was performed (Colombian Amazon located 57 km upstream from Leticia); through the cultural maps analysis obtained of ethnographic methodology based on social mapping and one analysis through intersubjective processes of consensus.As a result, georeferenced maps that generate an approximation of non-places that give access to shamanistic macro-space were obtained, which in turn is used to generate a local cultu...

  5. Variabilidad de aislados diazotróficos simbióticos en diferentes condiciones agroecológicas del sur del Ecuador

    OpenAIRE

    Torres Gutiérrez, Roldán

    2014-01-01

    The study consistedin determiningthe variability ofsymbioticdiazotrophics isolatesfrom common bean(Phaseolus vulgarisL.) in several agro-ecological zonesof Loja province, Ecuador. We sampleda total of 9cantonswith differentagro-climatic zones, which were geo-referenced using theGlobalPositioning System. Thevariabilityof the isolates was determined by morphological characterization ofthe colonies,where Gramstain, growth, color, mucus production, edges and elevation of the colonies were evaluat...

  6. STUDY OF AUTOMATIC IMAGE RECTIFICATION AND REGISTRATION OF SCANNED HISTORICAL AERIAL PHOTOGRAPHS

    OpenAIRE

    Chen , H.R.; Tseng, Y H

    2016-01-01

    Historical aerial photographs directly provide good evidences of past times. The Research Center for Humanities and Social Sciences (RCHSS) of Taiwan Academia Sinica has collected and scanned numerous historical maps and aerial images of Taiwan and China. Some maps or images have been geo-referenced manually, but most of historical aerial images have not been registered since there are no GPS or IMU data for orientation assisting in the past. In our research, we developed an automatic process...

  7. IMAGE REGISTRATION OF HIGH-RESOLUTION UAV DATA: THE NEW HYPARE ALGORITHM

    OpenAIRE

    T. Bahr; Jin, X.; Lasica, R.; Giessel, D.

    2013-01-01

    Unmanned aerial vehicles play an important role in the present-day civilian and military intelligence. Equipped with a variety of sensors, such as SAR imaging modes, E/O- and IR sensor technology, they are due to their agility suitable for many applications. Hence, the necessity arises to use fusion technologies and to develop them continuously. Here an exact image-to-image registration is essential. It serves as the basis for important image processing operations such as georeferenc...

  8. Outdoor Augmented Reality: State of the Art and Issues

    OpenAIRE

    Zendjebil, Imane; Ababsa, Fakhr-Eddine; Didier, Jean-Yves; Vairon, Jacques; Frauciel, Luc; Hachet, Martin; Guitton, Pascal; Delmont, Romuald

    2008-01-01

    International audience; The goal of an outdoor augmented reality system is to allow the human operator to move freely without restraint in its environment, to view and interact in real time with geo-referenced data via mobile wireless devices. This requires proposing new techniques for 3D localization, visualization and 3D interaction, adapted to working conditions in outdoor environment (brightness variation, features of displays used, etc.). This paper surveys recent advances in outdoor aug...

  9. An Image-Based Approach for the Co-Registration of Multi-Temporal UAV Image Datasets

    OpenAIRE

    Irene Aicardi; Francesco Nex; Markus Gerke; Andrea Maria Lingua

    2016-01-01

    During the past years, UAVs (Unmanned Aerial Vehicles) became very popular as low-cost image acquisition platforms since they allow for high resolution and repetitive flights in a flexible way. One application is to monitor dynamic scenes. However, the fully automatic co-registration of the acquired multi-temporal data still remains an open issue. Most UAVs are not able to provide accurate direct image georeferencing and the co-registration process is mostly performed with the manual introduc...

  10. Cloud-Based Geospatial 3D Image Spaces—A Powerful Urban Model for the Smart City

    Directory of Open Access Journals (Sweden)

    Stephan Nebiker

    2015-10-01

    Full Text Available In this paper, we introduce the concept and an implementation of geospatial 3D image spaces as new type of native urban models. 3D image spaces are based on collections of georeferenced RGB-D imagery. This imagery is typically acquired using multi-view stereo mobile mapping systems capturing dense sequences of street level imagery. Ideally, image depth information is derived using dense image matching. This delivers a very dense depth representation and ensures the spatial and temporal coherence of radiometric and depth data. This results in a high-definition WYSIWYG (“what you see is what you get” urban model, which is intuitive to interpret and easy to interact with, and which provides powerful augmentation and 3D measuring capabilities. Furthermore, we present a scalable cloud-based framework for generating 3D image spaces of entire cities or states and a client architecture for their web-based exploitation. The model and the framework strongly support the smart city notion of efficiently connecting the urban environment and its processes with experts and citizens alike. In the paper we particularly investigate quality aspects of the urban model, namely the obtainable georeferencing accuracy and the quality of the depth map extraction. We show that our image-based georeferencing approach is capable of improving the original direct georeferencing accuracy by an order of magnitude and that the presented new multi-image matching approach is capable of providing high accuracies along with a significantly improved completeness of the depth maps.

  11. A tour about Isaac Newton's life

    CERN Document Server

    Sparavigna, A C

    2012-01-01

    Here we propose a tour about the life of Isaac Newton, using a georeferenced method, based on the free satellite maps. Our tour is modelled on the time-line of the great scientist's life, as an ancient "itinerarium" was modelled on the Roman roads, providing a listing of places and intervening distances, sometimes with short description or symbols concerning the places. KML language and Google Earth, with its Street View and 3D images are powerful tools to create this virtual tour.

  12. Remote Sensing Information Sciences Research Group, Santa Barbara Information Sciences Research Group, year 3

    Science.gov (United States)

    Estes, J. E.; Smith, T.; Star, J. L.

    1986-01-01

    Research continues to focus on improving the type, quantity, and quality of information which can be derived from remotely sensed data. The focus is on remote sensing and application for the Earth Observing System (Eos) and Space Station, including associated polar and co-orbiting platforms. The remote sensing research activities are being expanded, integrated, and extended into the areas of global science, georeferenced information systems, machine assissted information extraction from image data, and artificial intelligence. The accomplishments in these areas are examined.

  13. Demonstration Report, Munitions Management Projects, ESTCP Project MR-200809, ALLTEM Multi-Axis Electromagnetic Induction System Demonstration and Validation, Aberdeen Proving Ground Standardized UXO Technology Demonstration Site, Version 1.0

    Science.gov (United States)

    2011-11-17

    Positioning System To achieve high quality data (metric section 3.6) the ALLTEM uses a real-time kinematic ( RTK ) global positioning system ( GPS ...positioning. RTK - GPS provides consistent and georeferenced positioning. The USGS owns a Leica GPS1200 system. The Leica has a pulse-per-second (PPS) output...to the rover unit mounted on the vehicle. For ALLTEM the GPS positions are part of the header in each data record. “ RTK - Fixed” quality GPS data

  14. ALLTEM Multi-Axis Electromagnetic Induction System Demonstration and Validation

    Science.gov (United States)

    2012-08-01

    to survey each area. These times include loss of production time due to waiting out loss of GPS real time kinematic ( RTK ) fixed mode, being stuck...high quality data, the ALLTEM uses an RTK GPS positioning, which provides consistent and georeferenced locations. The USGS owns a Leica GPS1200...each data record. “ RTK -Fixed” quality GPS data provide positions that are typically accurate to within ±2 cm. The Leica GPS1200 20 Hz update rate

  15. Advanced Signal Processing & Classification: UXO Standardized Test Site Data

    Science.gov (United States)

    2012-04-01

    using a three-receiver RTK GPS system. An Inertial Measurement Unit (IMU) is also included on the sensor array to provide complimentary platform...the 1x1m bottom coil) and receiver coils. Local positioning and georeferencing was accomplished using a Trimble 5700 RTK GPS system. The Trimble...EM61 array with GPS and IMU. ................................................ 8 Figure 4-4 MTADS GEM array mounted on the EM sensor cart. In

  16. Digital Atlas of Mexico Provides Accessible Climate Information

    Science.gov (United States)

    Zavala-Hidalgo, Jorge; Fernández-Eguiarte, Agustin; Romero-Centeno, Rosario; Zavala-Romero, Olmo

    2010-04-01

    Modern geomatic technologies—and particularly geoscientific, digital, and online multimedia cartography—represent one response to the growing demand for climatic information by the scientific community and general users. The Digital Climatic Atlas of Mexico (DCAM) fills the need to have readily accessible climate information about Mexico, Central America, and adjacent areas in preconfigured or user-configured georeferenced maps. The atlas provides information about the continental and oceanic climate, bioclimatic variables, and socioeconomic indicators (Figure 1).

  17. A statistical approach to latitude measurements: Ptolemy's and Riccioli's geographical works as case studies

    Science.gov (United States)

    Santoro, Luca

    2017-08-01

    The aim of this work is to analyze latitude measurements typically used in historical geographical works through a statistical approach. We use two sets of different age as case studies: Ptolemy's Geography and Riccioli's work on geography. A statistical approach to historical latitude and longitude databases can reveal systematic errors in geographical georeferencing processes. On the other hand, once exploiting the right statistical analysis, this approach can also lead to new information about ancient city locations.

  18. The Effect of Armed Conflict on Modern Contraception Utilisation – the Case of Colombia

    OpenAIRE

    Svallfors, Signe

    2016-01-01

    This MA Thesis explores the effect of the armed conflict on modern contraceptive utilisation in Colombia, using a departmental random-effects logistic regression model on novel cross-sectional data from the Uppsala Peace and Conflict Database Georeferenced Event Data and the Colombian Demographic and Health Surveys from 2000, 2005 and 2010. Reproductive health and rights has enormous consequences for women’s lives, but their relationship to conflict in Colombia has barely been analysed. Explo...

  19. Modeling the probability distribution of positional errors incurred by residential address geocoding

    OpenAIRE

    Zimmerman, Dale L.; Fang, Xiangming; Mazumdar, Soumya; Rushton, Gerard

    2007-01-01

    Background The assignment of a point-level geocode to subjects' residences is an important data assimilation component of many geographic public health studies. Often, these assignments are made by a method known as automated geocoding, which attempts to match each subject's address to an address-ranged street segment georeferenced within a streetline database and then interpolate the position of the address along that segment. Unfortunately, this process results in positional errors. Our stu...

  20. A review of marine biodiversity information resources

    OpenAIRE

    Kwangtsao Shao; Han Lee; Yungchang Lin; Kunchi Lai

    2014-01-01

    Although biodiversity of marine remains high, it increasingly suffers from human interference and destruction. The world’s largest open, online, georeferenced database is the Ocean Biogeographic Information System (OBIS); it has information on a total of 120,000 species with 37 million records. The World Register of Marine Species (WoRMS) has collected taxonomic information on 220,000 global marine species. Besides these two large databases, three single-taxa databases were established for ma...

  1. Supporting Earth-Observation Calibration and Validation: A new generation of tools for crowdsourcing and citizen science

    OpenAIRE

    L. See; Fritz, S; Dias, E; Hendriks, E.; Mijling, B; Snik, F.; Stammes, P.; Vescovi, F. D.; Zeug, G.; Mathieu, P.-P.; Desnos, Y.-L.; M. Rast

    2016-01-01

    Citizens are providing vast amounts of georeferenced data in the form of in situ data collections as well as interpretations and digitization of Earth-observation (EO) data sets. These new data streams have considerable potential for supporting the calibration and validation of current and future products derived from EO. We provide a general introduction to this growing area of interest and review existing crowdsourcing and citizen science (CS) initiatives of relevance to EO. We then draw...

  2. Improving Situation Awareness with the Android Team Awareness Kit (ATAK)

    Science.gov (United States)

    2015-04-01

    video. This paper describes the Android Team Awareness Kit (ATAK), an advanced, distributed tool for commercial- o -the-shelf (COTS) mobile devices...interrelated technologies : increasingly powerful mobile computing devices and increasingly available and rich georeferenced data. ATAK is designed to...50 different apps in the Trans Apps marketplace. Trans Apps uses a modified version of the Android operating system with enhanced security features

  3. Current practices in cancer spatial data analysis: a call for guidance

    Directory of Open Access Journals (Sweden)

    Lawson Andrew B

    2005-01-01

    Full Text Available Abstract There has long been a recognition that place matters in health, from recognition of clusters of yellow fever and cholera in the 1800s to modern day analyses of regional and neighborhood effects on cancer patterns. Here we provide a summary of discussions about current practices in the spatial analysis of georeferenced cancer data by a panel of experts recently convened at the National Cancer Institute.

  4. Geolokit: An interactive tool for visualising and exploring geoscientific data in Google Earth

    Science.gov (United States)

    Triantafyllou, Antoine; Watlet, Arnaud; Bastin, Christophe

    2017-10-01

    Virtual globes have been developed to showcase different types of data combining a digital elevation model and basemaps of high resolution satellite imagery. Hence, they became a standard to share spatial data and information, although they suffer from a lack of toolboxes dedicated to the formatting of large geoscientific dataset. From this perspective, we developed Geolokit: a free and lightweight software that allows geoscientists - and every scientist working with spatial data - to import their data (e.g., sample collections, structural geology, cross-sections, field pictures, georeferenced maps), to handle and to transcribe them to Keyhole Markup Language (KML) files. KML files are then automatically opened in the Google Earth virtual globe and the spatial data accessed and shared. Geolokit comes with a large number of dedicated tools that can process and display: (i) multi-points data, (ii) scattered data interpolations, (iii) structural geology features in 2D and 3D, (iv) rose diagrams, stereonets and dip-plunge polar histograms, (v) cross-sections and oriented rasters, (vi) georeferenced field pictures, (vii) georeferenced maps and projected gridding. Therefore, together with Geolokit, Google Earth becomes not only a powerful georeferenced data viewer but also a stand-alone work platform. The toolbox (available online at http://www.geolokit.org) is written in Python, a high-level, cross-platform programming language and is accessible through a graphical user interface, designed to run in parallel with Google Earth, through a workflow that requires no additional third party software. Geolokit features are demonstrated in this paper using typical datasets gathered from two case studies illustrating its applicability at multiple scales of investigation: a petro-structural investigation of the Ile d'Yeu orthogneissic unit (Western France) and data collection of the Mariana oceanic subduction zone (Western Pacific).

  5. Considerations in developing geographic informations systems based on low-cost digital image processing

    Science.gov (United States)

    Henderson, F. M.; Dobson, M. W.

    1981-01-01

    The potential of digital image processing systems costing $20,000 or less for geographic information systems is assessed with the emphasis on the volume of data to be handled, the commercial hardware systems available, and the basic software for: (1) data entry, conversion and digitization; (2) georeferencing and geometric correction; (3) data structuring; (4) editing and updating; (5) analysis and retrieval; (6) output drivers; and (7) data management. Costs must also be considered as tangible and intangible factors.

  6. EXTRACTING ROAD FEATURES FROM AERIAL VIDEOS OF SMALL UNMANNED AERIAL VEHICLES

    Directory of Open Access Journals (Sweden)

    D. Rajamohan

    2013-09-01

    Full Text Available With major aerospace companies showing interest in certifying UAV systems for civilian airspace, their use in commercial remote sensing applications like traffic monitoring, map refinement, agricultural data collection, etc., are on the rise. But ambitious requirements like real-time geo-referencing of data, support for multiple sensor angle-of-views, smaller UAV size and cheaper investment cost have lead to challenges in platform stability, sensor noise reduction and increased onboard processing. Especially in small UAVs the geo-referencing of data collected is only as good as the quality of their localization sensors. This drives a need for developing methods that pickup spatial features from the captured video/image and aid in geo-referencing. This paper presents one such method to identify road segments and intersections based on traffic flow and compares well with the accuracy of manual observation. Two test video datasets, one each from moving and stationary platforms were used. The results obtained show a promising average percentage difference of 7.01 % and 2.48 % for the road segment extraction process using moving and stationary platform respectively. For the intersection identification process, the moving platform shows an accuracy of 75 % where as the stationary platform data reaches an accuracy of 100 %.

  7. CONTEXT-BASED URBAN TERRAIN RECONSTRUCTION FROM UAV-VIDEOS FOR GEOINFORMATION APPLICATIONS

    Directory of Open Access Journals (Sweden)

    D. Bulatov

    2012-09-01

    Full Text Available Urban terrain reconstruction has many applications in areas of civil engineering, urban planning, surveillance and defense research. Therefore the needs of covering ad-hoc demand and performing a close-range urban terrain reconstruction with miniaturized and relatively inexpensive sensor platforms are constantly growing. Using (miniaturized unmanned aerial vehicles, (MUAVs, represents one of the most attractive alternatives to conventional large-scale aerial imagery. We cover in this paper a four-step procedure of obtaining georeferenced 3D urban models from video sequences. The four steps of the procedure – orientation, dense reconstruction, urban terrain modeling and geo-referencing – are robust, straight-forward, and nearly fully-automatic. The two last steps – namely, urban terrain modeling from almost-nadir videos and co-registration of models 6ndash; represent the main contribution of this work and will therefore be covered with more detail. The essential substeps of the third step include digital terrain model (DTM extraction, segregation of buildings from vegetation, as well as instantiation of building and tree models. The last step is subdivided into quasi- intrasensorial registration of Euclidean reconstructions and intersensorial registration with a geo-referenced orthophoto. Finally, we present reconstruction results from a real data-set and outline ideas for future work.

  8. Virtual Modeling for Cities of the Future. State-Of Art and Virtual Modeling for Cities of the Future. State-Of Art AN

    Science.gov (United States)

    Valencia, J.; Muñoz-Nieto, A.; Rodriguez-Gonzalvez, P.

    2015-02-01

    3D virtual modeling, visualization, dissemination and management of urban areas is one of the most exciting challenges that must face geomatics in the coming years. This paper aims to review, compare and analyze the new technologies, policies and software tools that are in progress to manage urban 3D information. It is assumed that the third dimension increases the quality of the model provided, allowing new approaches to urban planning, conservation and management of architectural and archaeological areas. Despite the fact that displaying 3D urban environments is an issue nowadays solved, there are some challenges to be faced by geomatics in the coming future. Displaying georeferenced linked information would be considered the first challenge. Another challenge to face is to improve the technical requirements if this georeferenced information must be shown in real time. Are there available software tools ready for this challenge? Are they useful to provide services required in smart cities? Throughout this paper, many practical examples that require 3D georeferenced information and linked data will be shown. Computer advances related to 3D spatial databases and software that are being developed to convert rendering virtual environment to a new enriched environment with linked information will be also analyzed. Finally, different standards that Open Geospatial Consortium has assumed and developed regarding the three-dimensional geographic information will be reviewed. Particular emphasis will be devoted on KML, LandXML, CityGML and the new IndoorGML.

  9. DATA PROCESSING TECHNOLOGY OF AIRBORNE 3D IMAGE

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Airborne 3D image which integrates GPS,attitude measurement unit (AMU),sca nning laser rangefinder (SLR) and spectral scanner has been developed successful ly.The spectral scanner and SLR use the same optical system which ensures laser point to match pixel seamlessly.The distinctive advantage of 3D image is that it can produce geo_referenced images and DSM (digital surface models) images wi thout any ground control points (GCPs).It is no longer necessary to sur vey GCPs and with some softwares the data can be processed and produce digital s urface models (DSM) and geo_referenced images in quasi_real_time,therefore,the efficiency of 3 D image is 10~100 times higher than that of traditional approaches.The process ing procedure involves decomposing and checking the raw data,processing GPS dat a,calculating the positions of laser sample points,producing geo_referenced im age,producing DSM and mosaicing strips.  The principle of 3D image is first introduced in this paper,and then we focus on the fast processing technique and algorithm.The flight tests and processed r esults show that the processing technique is feasible and can meet the requireme nt of quasi_real_time applications.

  10. Uncertainty Propagation for Terrestrial Mobile Laser Scanner

    Science.gov (United States)

    Mezian, c.; Vallet, Bruno; Soheilian, Bahman; Paparoditis, Nicolas

    2016-06-01

    Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, uncertainty analysis of 3D points is of great interest but rarely investigated in the literature. In this paper we present a complete pipeline that takes into account all the sources of uncertainties and allows to compute a covariance matrix per 3D point. The sources of uncertainties are laser scanner, calibration of the scanner in relation to the vehicle and direct georeferencing system. We suppose that all the uncertainties follow the Gaussian law. The variances of the laser scanner measurements (two angles and one distance) are usually evaluated by the constructors. This is also the case for integrated direct georeferencing devices. Residuals of the calibration process were used to estimate the covariance matrix of the 6D transformation between scanner laser and the vehicle system. Knowing the variances of all sources of uncertainties, we applied uncertainty propagation technique to compute the variance-covariance matrix of every obtained 3D point. Such an uncertainty analysis enables to estimate the impact of different laser scanners and georeferencing devices on the quality of obtained 3D points. The obtained uncertainty values were illustrated using error ellipsoids on different datasets.

  11. Geometric Calibration of ZIYUAN-3 Three-Line Cameras Combining Ground Control Points and Lines

    Science.gov (United States)

    Cao, Jinshan; Yuan, Xiuxiao; Gong, Jianya

    2016-06-01

    Due to the large biases between the laboratory-calibrated values of the orientation parameters and their in-orbit true values, the initial direct georeferencing accuracy of the Ziyuan-3 (ZY-3) three-line camera (TLC) images can only reach the kilometre level. In this paper, a point-based geometric calibration model of the ZY-3 TLCs is firstly established by using the collinearity constraint, and then a line-based geometric calibration model is established by using the coplanarity constraint. With the help of both the point-based and the line-based models, a feasible in-orbit geometric calibration approach for the ZY-3 TLCs combining ground control points (GCPs) and ground control lines (GCLs) is presented. Experimental results show that like GCPs, GCLs can also provide effective ground control information for the geometric calibration of the ZY-3 TLCs. The calibration accuracy of the look angles of charge-coupled device (CCD) detectors achieved by using the presented approach reached up to about 1.0''. After the geometric calibration, the direct georeferencing accuracy of the ZY-3 TLC images without ground controls was significantly improved from the kilometre level to better than 11 m in planimetry and 9 m in height. A more satisfactory georeferencing accuracy of better than 3.5 m in planimetry and 3.0 m in height was achieved after the block adjustment with four GCPs.

  12. Plate tectonic raster reconstruction in GPlates

    Directory of Open Access Journals (Sweden)

    J. Cannon

    2014-03-01

    Full Text Available We describe a novel method implemented in the GPlates plate tectonic reconstruction software to interactively reconstruct arbitrarily high-resolution raster data to past geological times using a rotation model. The approach is based on the projection of geo-referenced raster data into a cube map followed by a reverse projection onto rotated tectonic plates on the surface of the globe. This decouples the rendering of a geo-referenced raster from its reconstruction, providing a number of benefits including a simple implementation and the ability to combine rasters with different geo-referencing or inbuilt raster projections. The cube map projection is accelerated by graphics hardware in a wide variety of computer systems manufactured over the last decade. Furthermore, by integrating a multi-resolution tile partitioning into the cube map we can provide on-demand tile streaming, level-of-detail rendering and hierarchical visibility culling enabling researchers to visually explore essentially unlimited resolution geophysical raster data attached to tectonic plates and reconstructed through geological time. This capability forms the basis for interactively building and improving plate reconstructions in an iterative fashion, particularly for tectonically complex regions.

  13. Toward an open-access global database for mapping, control, and surveillance of neglected tropical diseases.

    Directory of Open Access Journals (Sweden)

    Eveline Hürlimann

    2011-12-01

    Full Text Available BACKGROUND: After many years of general neglect, interest has grown and efforts came under way for the mapping, control, surveillance, and eventual elimination of neglected tropical diseases (NTDs. Disease risk estimates are a key feature to target control interventions, and serve as a benchmark for monitoring and evaluation. What is currently missing is a georeferenced global database for NTDs providing open-access to the available survey data that is constantly updated and can be utilized by researchers and disease control managers to support other relevant stakeholders. We describe the steps taken toward the development of such a database that can be employed for spatial disease risk modeling and control of NTDs. METHODOLOGY: With an emphasis on schistosomiasis in Africa, we systematically searched the literature (peer-reviewed journals and 'grey literature', contacted Ministries of Health and research institutions in schistosomiasis-endemic countries for location-specific prevalence data and survey details (e.g., study population, year of survey and diagnostic techniques. The data were extracted, georeferenced, and stored in a MySQL database with a web interface allowing free database access and data management. PRINCIPAL FINDINGS: At the beginning of 2011, our database contained more than 12,000 georeferenced schistosomiasis survey locations from 35 African countries available under http://www.gntd.org. Currently, the database is expanded to a global repository, including a host of other NTDs, e.g. soil-transmitted helminthiasis and leishmaniasis. CONCLUSIONS: An open-access, spatially explicit NTD database offers unique opportunities for disease risk modeling, targeting control interventions, disease monitoring, and surveillance. Moreover, it allows for detailed geostatistical analyses of disease distribution in space and time. With an initial focus on schistosomiasis in Africa, we demonstrate the proof-of-concept that the establishment

  14. Loss of surface horizon of an irrigated soil detected by radiometric images of normalized difference vegetation index.

    Science.gov (United States)

    Fabian Sallesses, Leonardo; Aparicio, Virginia Carolina; Costa, Jose Luis

    2017-04-01

    The use of the soil in the Humid Pampa of Argentina has changed since the mid-1990s from agricultural-livestock production (that included pastures with direct grazing) to a purely agricultural production. Also, in recent years the area under irrigation by central pivot has been increased to 150%. The waters used for irrigation are sodium carbonates. The combination of irrigation and rain increases the sodium absorption ratio of soil (SARs), consequently raising the clay dispersion and reducing infiltration. This implies an increased risk of soil loss. A reduction in the development of white clover crop (Trifolium repens L.) was observed at an irrigation plot during 2015 campaign. The clover was planted in order to reduce the impact of two maize (Zea mays L.) campaigns under irrigation, which had increased soil SAR and deteriorated soil structure. SPOT-5 radiometric normalized difference vegetation index (NDVI) images were used to determine two zones of high and low production. In each zone, four random points were selected for further geo-referenced field sampling. Two geo-referenced measures of effective depth and surface soil sampling were carried out in each point. Texture of soil samples was determined by Pipette Method of Sedimentation Analysis. Data exploratory analysis showed that low production zone had a media effective depth = 80 cm and silty clay loam texture, while high production zone had a media effective depth > 140 cm and silt loam texture. The texture class of the low production zone did not correspond to prior soil studies carried out by the INTA (National Institute of Agricultural Technology), which showed that those soil textures were silt loam at surface and silty clay loam at sub-surface. The loss of the A horizon is proposed as a possible explanation, but further research is required. Besides, the need of a soil cartography actualization, which integrates new satellite imaging technologies and geo-referenced measurements with soil sensors is

  15. Digitizing the Forest Resource Map Using ArcGIS

    Directory of Open Access Journals (Sweden)

    K. R. Manjula

    2010-11-01

    Full Text Available The major challenges we face in the real world today is overpopulation, pollution, deforestation, natural disasters which have a critical geographic dimension and also have a geographical component. Geographical Decision Support System (Geo-DSS is a demanding field, since enormous amount of spatial data have been collected in various applications, ranging form Remote Sensing to GIS, Computer Cartography, Environmental Assessment and Planning. Although some efforts were made to combine spatial mining with Spatial Decision Support System but mostly researchers are using a spatial database for popular data mining approach. GIS will give you the power to create maps, integrate information, visualize scenarios, solve complicated problems, present powerful ideas, and develop effective solutions like never before so that it supports strategic decision making. With GIS application we can open digital maps on computer, create new spatial information to add to a map, create printed maps customized to our needs and perform spatial analysis on it. There is a great deal of geographic data available in formats that can not be immediately integrated with other GIS data. In order to use these types of data in GIS it is necessary to align it with existing geographically referenced data. This process is also called georeferencing. Georeferencing is a necessary step in the digitizing process. Digitizing in GIS is the process of "tracing", in a geographically correct way, information from images or maps. In this paper the processing of digitizing the forest map and the converting the georeferenced map into attribute data is depicted which can be further used to construct spatial database and on which spatial analysis can be performed.

  16. Object-Based Coregistration of Terrestrial Photogrammetric and ALS Point Clouds in Forested Areas

    Science.gov (United States)

    Polewski, P.; Erickson, A.; Yao, W.; Coops, N.; Krzystek, P.; Stilla, U.

    2016-06-01

    Airborne Laser Scanning (ALS) and terrestrial photogrammetry are methods applicable for mapping forested environments. While ground-based techniques provide valuable information about the forest understory, the measured point clouds are normally expressed in a local coordinate system, whose transformation into a georeferenced system requires additional effort. In contrast, ALS point clouds are usually georeferenced, yet the point density near the ground may be poor under dense overstory conditions. In this work, we propose to combine the strengths of the two data sources by co-registering the respective point clouds, thus enriching the georeferenced ALS point cloud with detailed understory information in a fully automatic manner. Due to markedly different sensor characteristics, coregistration methods which expect a high geometric similarity between keypoints are not suitable in this setting. Instead, our method focuses on the object (tree stem) level. We first calculate approximate stem positions in the terrestrial and ALS point clouds and construct, for each stem, a descriptor which quantifies the 2D and vertical distances to other stem centers (at ground height). Then, the similarities between all descriptor pairs from the two point clouds are calculated, and standard graph maximum matching techniques are employed to compute corresponding stem pairs (tiepoints). Finally, the tiepoint subset yielding the optimal rigid transformation between the terrestrial and ALS coordinate systems is determined. We test our method on simulated tree positions and a plot situated in the northern interior of the Coast Range in western Oregon, USA, using ALS data (76 x 121 m2) and a photogrammetric point cloud (33 x 35 m2) derived from terrestrial photographs taken with a handheld camera. Results on both simulated and real data show that the proposed stem descriptors are discriminative enough to derive good correspondences. Specifically, for the real plot data, 24

  17. Toward an open-access global database for mapping, control, and surveillance of neglected tropical diseases

    DEFF Research Database (Denmark)

    Hürlimann, Eveline; Schur, Nadine; Boutsika, Konstantina;

    2011-01-01

    After many years of general neglect, interest has grown and efforts came under way for the mapping, control, surveillance, and eventual elimination of neglected tropical diseases (NTDs). Disease risk estimates are a key feature to target control interventions, and serve as a benchmark...... for monitoring and evaluation. What is currently missing is a georeferenced global database for NTDs providing open-access to the available survey data that is constantly updated and can be utilized by researchers and disease control managers to support other relevant stakeholders. We describe the steps taken...

  18. Sfm_georef: Automating image measurement of ground control points for SfM-based projects

    Science.gov (United States)

    James, Mike R.

    2016-04-01

    Deriving accurate DEM and orthomosaic image products from UAV surveys generally involves the use of multiple ground control points (GCPs). Here, we demonstrate the automated collection of GCP image measurements for SfM-MVS processed projects, using sfm_georef software (James & Robson, 2012; http://www.lancaster.ac.uk/staff/jamesm/software/sfm_georef.htm). Sfm_georef was originally written to provide geo-referencing procedures for SfM-MVS projects. It has now been upgraded with a 3-D patch-based matching routine suitable for automating GCP image measurement in both aerial and ground-based (oblique) projects, with the aim of reducing the time required for accurate geo-referencing. Sfm_georef is compatible with a range of SfM-MVS software and imports the relevant files that describe the image network, including camera models and tie points. 3-D survey measurements of ground control are then provided, either for natural features or artificial targets distributed over the project area. Automated GCP image measurement is manually initiated through identifying a GCP position in an image by mouse click; the GCP is then represented by a square planar patch in 3-D, textured from the image and oriented parallel to the local topographic surface (as defined by the 3-D positions of nearby tie points). Other images are then automatically examined by projecting the patch into the images (to account for differences in viewing geometry) and carrying out a sub-pixel normalised cross-correlation search in the local area. With two or more observations of a GCP, its 3-D co-ordinates are then derived by ray intersection. With the 3-D positions of three or more GCPs identified, an initial geo-referencing transform can be derived to relate the SfM-MVS co-ordinate system to that of the GCPs. Then, if GCPs are symmetric and identical, image texture from one representative GCP can be used to search automatically for all others throughout the image set. Finally, the GCP observations can be

  19. Spatial-temporal analysis of dengue deaths: identifying social vulnerabilities

    Directory of Open Access Journals (Sweden)

    Maria do Socorro da Silva

    Full Text Available Abstract: INTRODUCTION Currently, dengue fever, chikungunya fever, and zika virus represent serious public health issues in Brazil, despite efforts to control the vector, the Aedes aegypti mosquito. METHODS: This was a descriptive and ecological study of dengue deaths occurring from 2002 to 2013 in São Luis, Maranhão, Brazil. Geoprocessing software was used to draw maps, linking the geo-referenced deaths with urban/social data at census tract level. RESULTS: There were 74 deaths, concentrated in areas of social vulnerability. CONCLUSIONS: The use of geo-technology tools pointed to a concentration of dengue deaths in specific intra-urban areas.

  20. Integration of a mobile autonomous robot in a surveillance multi-agent system

    OpenAIRE

    Dias, Bruno Miguel Morais

    2014-01-01

    This dissertation aims to guarantee the integration of a mobile autonomous robot equipped with many sensors in a multi-agent distributed and georeferenced surveillance system. The integration of a mobile autonomous robot in this system leads to new features that will be available to clients of surveillance system may use. These features may be of two types: using the robot as an agent that will act in the environment or by using the robot as a mobile set of sensors. As an agent in the syst...

  1. Can we follow the neotectonic activity of the Hluboká-fault by reconstructing the evolution of the Vltava river course? - Mapping of fluvial terraces around the Budejovice-basin using historic maps

    Science.gov (United States)

    Homolova, Dana; Lomax, Johanna; Prachar, Ivan; Spacek, Petr; Zamolyi, Andras; Decker, Kurt

    2010-05-01

    The Budějovice Basin in the Bohemian Massif (Czech Republic) is a fault-bounded sedimentary basin with a multiple subsidence history overlying Variscan crystalline basement. Permian, Cretaceous and Miocene sediments record repeated reactivations of faults at or close to the basin margin, which may have continued into the Quaternary. The latter is indicated by geomorphological features such as linear topographic scarps, which characterize part of the faults within and at the border of the Budějovice Basin. In a current study we assess possible Quaternary displacements along the faults delimiting the basin using geomorphological data, analyses of river planform patterns and correlations of Quaternary terraces of the Vltava River, which crosses the basin and its boundary faults. The regionally most important tectonic feature - the Hluboká fault -forms the northeastern margin of the Budějovice basin. The fault crosses the course of the river Vltava, a fact that guided our research to take a more precise look at the character and distribution of fluvial sediments in this area. Our main focus is on dating of terrace bodies around the Hluboká fault. According to the scheme used in most European regions, influences by the Pleistocene glacial cycles, the Vltava river terraces were assigned by most scientists to the 4(5) main alpine glacial periods. This dating is not straightforward as terraces are not connected to moraine bodies like in the Alps. The terraces were basically correlated by their altitude above the river and by their lithology (clastic content and grain size composition), but mostly without any numerical age determination. Our studies include several field and laboratory methods, supported by computer analyses of various types of spatial data. Data sources include: (i) modern topographic maps, (ii) geological maps, (iii) georeferenced historic map sheets of the Austrian Second Military Survey (provided by the Geoinformatics Laboratory of the University J

  2. The National Map seamless digital elevation model specifications

    Science.gov (United States)

    Archuleta, Christy-Ann M.; Constance, Eric W.; Arundel, Samantha T.; Lowe, Amanda J.; Mantey, Kimberly S.; Phillips, Lori A.

    2017-08-02

    This specification documents the requirements and standards used to produce the seamless elevation layers for The National Map of the United States. Seamless elevation data are available for the conterminous United States, Hawaii, Alaska, and the U.S. territories, in three different resolutions—1/3-arc-second, 1-arc-second, and 2-arc-second. These specifications include requirements and standards information about source data requirements, spatial reference system, distribution tiling schemes, horizontal resolution, vertical accuracy, digital elevation model surface treatment, georeferencing, data source and tile dates, distribution and supporting file formats, void areas, metadata, spatial metadata, and quality assurance and control.

  3. Measuring access to primary medical care: some examples of the use of geographical information systems.

    Science.gov (United States)

    Parker, E B; Campbell, J L

    1998-06-01

    This paper explores the potential for geographical information system technology in defining some variables influencing the use of primary care medical services. Eighteen general practices in Scotland contributed to a study examining the accessibility of their services and their patients' use of the local Accident and Emergency Department. Geo-referencing of information was carried out through analysis of postcode data relating to practices and patients. This information was analyzed using ARC/INFO GIS software in conjunction with the ORACLE relational database and 1991 census information. The results demonstrate that GIS technology has an important role in defining and analyzing the use of health services by the population.

  4. Methods for fine registration of cadastre graphs to images.

    Science.gov (United States)

    Trias-Sanz, Roger; Pierrot-Deseilligny, Marc; Louchet, Jean; Stamon, Georges

    2007-11-01

    We propose two algorithms to match edges in a geometrically-imprecise graph to geometrically-precise strong boundaries in an image, where the graph is meant to give an a priori partition of the image into objects. This can be used to partition an image into objects described by imprecise external data, and thus to simplify the segmentation problem. We apply them to the problem of registering cadastre data to georeferenced aerial images, thus correcting the lack of geometrical detail of the cadastre data, and the fact that cadastre data gives information of a different nature than that found in images (fiscal information as opposed to actual land use).

  5. Big Data Is not just a New Type, but a New Paradigm

    CERN Document Server

    Jiang, Bin

    2015-01-01

    This paper is a first draft of the introduction to the special issue on volunteered geographic information published in Computers, Environment and Urban Systems (2015, 53, 1-122). In this short paper, I put georeferenced big data (hereafter, big data) such as tweets locations in comparison with small data such as census data in terms of data characteristics, and further argued that big data differs fundamentally from small data in terms of data analytics, both geometrially and statistically. I would like to thank my colleague Dr. Jean-Claude Thill, who expanded the draft towards a broader scope.

  6. Danish Neighbourhoods

    DEFF Research Database (Denmark)

    Damm, Anna Piil; Schultz-Nielsen, Marie Louise

    2008-01-01

      In this paper we propose a model for constructing neighbourhoods based on geo-referenced data and administrative data. The 431,233 inhabited hectare cells in Denmark are clustered into 9,404 small and 2,296 large neighbourhoods, inhabited on average in 2004 by 572 and 2,343 persons respectively....... The priorities in the clustering process are to obtain neighbourhoods that are unaltered over time, delineated by physical barriers, compact, homogeneous in terms of type of housing and ownership, relatively small, homogeneous in terms of number of inhabitants, and comprised of a contiguous cluster of cells...

  7. The Construction of Neighbourhoods and its Relevance for the Measurement of Social and Ethnic Segregation

    DEFF Research Database (Denmark)

    Damm, Anna Piil; Schultz-Nielsen, Marie Louise

    In this paper we propose a model for constructing neighbourhoods based on geo-referenced data and administrative data. The 431,233 inhabited hectare cells in Denmark are clustered into 9,404 small and 2,296 large neighbourhoods, inhabited on average in 2004 by 572 and 2,343 persons respectively....... The priorities in the clustering process are to obtain neighbourhoods that are unaltered over time, delineated by physical barriers, compact, homogeneous in terms of type of housing and ownership, relatively small, homogeneous in terms of number of inhabitants, and comprised of a contiguous cluster of cells...

  8. Crowd-sourcing Meteorological Data for Student Field Projects

    Science.gov (United States)

    Bullard, J. E.

    2016-12-01

    This paper explains how students can rapidly collect large datasets to characterise wind speed and direction under different meteorological conditions. The tools used include a mobile device (tablet or phone), low cost wind speed/direction meters that are plugged in to the mobile device, and an app with online web support for uploading, collating and georeferencing data. Electronic customised data input forms downloaded to the mobile device are used to ensure students collect data using specified protocols which streamlines data management and reduces the likelihood of data entry errors. A key benefit is the rapid collection and quality control of field data that can be promptly disseminated to students for subsequent analysis.

  9. Automatic Traffic Monitoring from an Airborne Wide Angle Camera System

    OpenAIRE

    Rosenbaum, Dominik; Charmette, Baptiste; Kurz, Franz; Suri, Sahil; Thomas, Ulrike; Reinartz, Peter

    2008-01-01

    We present an automatic traffic monitoring approach using data of an airborne wide angle camera system. This camera, namely the “3K-Camera”, was recently developed at the German Aerospace Center (DLR). It has a coverage of 8 km perpendicular to the flight direction at a flight height of 3000 m with a resolution of 45 cm and is capable to take images at a frame rate of up to 3 fps. Based on georeferenced images obtained from this camera system, a near real-time processing chain containing roa...

  10. Spatial patterns of seaweed distribution in Malaysia using GIS

    Science.gov (United States)

    Lian, Du Hai; Sim, Jillian Ooi Lean; Fauzi, Rosmadi; Moi, Phang Siew

    2008-10-01

    The objective of this article is to represent spatial patterns of seaweed distribution in Malaysia. Seaweeds have been collected since 1984 along coastlines of 4675 km of peninsular Malaysia, Sabah, and Sarawak. However, there is no seaweed database and they cannot be displayed in a geographic view. Therefore, a database with 805 georeferenced observations was setup and GIS is used to analyze seaweed diversity based on this database. The highest number of observations is 94 which occur along east coastline of peninsular Malaysia. The highest number of species richness is 82 which are also along east coastline of peninsular Malaysia. Rhodophyta has the highest species richness while Chlorophyta has the least species richness.

  11. Denmark seen from above: communicating landscape change

    DEFF Research Database (Denmark)

    Svenningsen, Stig Roar; Hansen, Mette Dahl; Dupont, Henrik

    and as a result most people do not have an every-day experience with rural landscapes change. In order to inform a wider range of people, in competition with other types of information, the story has to have a point of reference of which people without specific training in landscape research can relate to....... This poster will explore the potential for a new way of communicating landscape change to a broader public audience by using a newly developed portal with digitized and geo-referenced historical oblique aerial photographs from 1939 to 1990s, provided by the Danish Royal Library. The basic idea is, popularly...

  12. Remote Sensing Information Sciences Research Group: Santa Barbara Information Sciences Research Group, year 4

    Science.gov (United States)

    Estes, John E.; Smith, Terence; Star, Jeffrey L.

    1987-01-01

    Information Sciences Research Group (ISRG) research continues to focus on improving the type, quantity, and quality of information which can be derived from remotely sensed data. Particular focus in on the needs of the remote sensing research and application science community which will be served by the Earth Observing System (EOS) and Space Station, including associated polar and co-orbiting platforms. The areas of georeferenced information systems, machine assisted information extraction from image data, artificial intelligence and both natural and cultural vegetation analysis and modeling research will be expanded.

  13. Parámetros ambientales y pesqueros de un lago somero de La Pampa, luego de una mortandad masiva de Odontesthes bonariensis

    OpenAIRE

    Del Ponti, O.; Marani, J. L.; Ganora, E.; Berguño, A.; Galea, J. L.; Pratts, P.

    2014-01-01

    The Bajo Giuliani Lagoon (36 ° 42 ‘20’’ S, 64 ° 16 ‘ 02 ‘’ W) is located south of the city of Santa Rosa, La Pampa, which was stocked with fish during the late 90’s. In this hypertrophic shallow lake, major environmental changes caused mass mortalities of silverside Odontesthes bonariensis, the last one occurred in 2010. In order to know the current state of the environment, in April 2013 surface water samples were collected, several points were georeferenced and major morphometric parameters...

  14. Using Weighted Graphs for Computationally Efficient WLAN Location Determination

    DEFF Research Database (Denmark)

    Thomsen, Bent; Hansen, Rene

    2007-01-01

    Indoor location-based services hold promise for a multitude of valuable services, but require micro-detailed geo-referencing not achievable with "outdoor" technologies such as GPS and cellular networks. A widely used technique for accurate indoor positioning is location fingerprinting which makes...... burden for large buildings and is thus problematic for tracking users in real time on processor-constrained mobile devices. In this paper we present a technique for improving the computational efficiency of the fingerprinting technique such that location determination becomes tractable on a mobile device...

  15. Historic maps as a data source for socio-hydrology: a case study of the Lake Balaton wetland system, Hungary

    Directory of Open Access Journals (Sweden)

    A. Zlinszky

    2013-06-01

    Full Text Available Socio-hydrology is the science of human influence on the water cycle and the influence of the water cycle on human social systems. This newly emerging discipline inherently involves a historic perspective, often focusing on time scales of several centuries. While data on human history is typically available for this time frame, gathering information on the hydrological situation during such a period can prove difficult: measured hydrological data for such long periods are rare, while models and secondary datasets from geomorphology, pedology or archaeology are typically not accurate enough over such a short period. In the first part of this study, the use of historic maps in hydrology is reviewed. Major breakthroughs were the acceptance of historic map content as valid data, the use of preserved features for investigating situations earlier than the map, and the onset of digital georeferencing and data integration. Historic maps can be primary quantitative sources of hydro-geomorphological information, they can provide a context for point-based measurements over larger areas, and they can deliver time series for a better understanding of change scenarios. In the second part, a case study is presented: Water level fluctuations of Lake Balaton were reconstructed from maps, levelling logs and other documents. An 18th century map system of the whole 5700 km2 catchment was georeferenced, integrated with two 19th century map systems and wetlands, forests and open water digitized. Changes in wetland area were compared with lake water level changes in a 220 yr time series. Historic maps show that the water level of the lake was closer to present-day levels than expected, and that wetland loss pre-dates drainage of the lake. The present and future role of historic maps is discussed. Historic hydrological data has to be treated with caution: while it is possible to learn from the past, the assumption that future changes will be like past changes does not

  16. Taking the Temperature of Pedestrian Movement in Public Spaces

    DEFF Research Database (Denmark)

    Nielsen, Søren Zebitz; Gade, Rikke; Moeslund, Thomas B.

    2014-01-01

    Cities require data on pedestrian movement to evaluate the use of public spaces. We propose a system using thermal cameras and Computer Vision (CV) combined with Geographical Information Systems (GIS) to track and assess pedestrian dynamics and behaviors in urban plazas. Thermal cameras operate...... independent of light and the technique is non-intrusive and preserves privacy. The approach extends the analysis to the GIS domain by capturing georeferenced tracks. We present a pilot study conducted in Copenhagen in 2013. The tracks retrieved by CV are compared to manually annotated ground truth tracks...

  17. a Man-Portable Imu-Free Mobile Mapping System

    Science.gov (United States)

    Nüchter, A.; Borrmann, D.; Koch, P.; Kühn, M.; May, S.

    2015-08-01

    Mobile mapping systems are commonly mounted on cars, ships and robots. The data is directly geo-referenced using GPS data and expensive IMU (inertial measurement systems). Driven by the need for flexible, indoor mapping systems we present an inexpensive mobile mapping solution that can be mounted on a backpack. It combines a horizontally mounted 2D profiler with a constantly spinning 3D laser scanner. The initial system featuring a low-cost MEMS IMU was revealed and demonstrated at MoLaS: Technology Workshop Mobile Laser Scanning at Fraunhofer IPM in Freiburg in November 2014. In this paper, we present an IMU-free solution.

  18. QUICKFIRE: a JPEG 2000/JPIP-enabled ISR screener application

    Science.gov (United States)

    Rajan, S. Danny; Kavanagh, Christopher; Kasner, James; Maenner, Paul

    2005-05-01

    In this paper we present a JPEG2000-enabled ISR dissemination system that provides an airborne-based compression server and a ground-based screener client. This system makes possible direct dissemination of airborne collected imagery to users on the ground via existing portable communications. Utilizing the progressive nature of JPEG2000, the interactive capabilities of its associated JPIP streaming, and the on-the-fly mosaicing capability of the MIRAGE ground screener client application, ground-based users can interactively access large volumes of geo-referenced imagery from an airborne image collector. The system, called QUICKFIRE, is a recently developed prototype demonstrator. We present preliminary results from this effort.

  19. Is the “new deal” of National Forest Inventories finally attained?

    Directory of Open Access Journals (Sweden)

    Chirici G

    2015-12-01

    Full Text Available This paper briefly describes the recent initiatives of Spain and France that made raw data from their National Forestry Inventory available both online and via open-access databases. As part of the implementation of the European PSI-Directive on the re-use of Public Administration data and the realization of the Statute of Digital Administration by the Agency for Digital Italy (AGID, a similar implementation by the Italian Forest Service is expected through the on-line and open access publication of all georeferenced data related to the phase III of the 2015 Italian Inventory of Forests and Carbon Reservoirs.

  20. Automatic Building Extraction and Roof Reconstruction in 3k Imagery Based on Line Segments

    Science.gov (United States)

    Köhn, A.; Tian, J.; Kurz, F.

    2016-06-01

    We propose an image processing workflow to extract rectangular building footprints using georeferenced stereo-imagery and a derivative digital surface model (DSM) product. The approach applies a line segment detection procedure to the imagery and subsequently verifies identified line segments individually to create a footprint on the basis of the DSM. The footprint is further optimized by morphological filtering. Towards the realization of 3D models, we decompose the produced footprint and generate a 3D point cloud from DSM height information. By utilizing the robust RANSAC plane fitting algorithm, the roof structure can be correctly reconstructed. In an experimental part, the proposed approach has been performed on 3K aerial imagery.

  1. I Cluster geografici

    Directory of Open Access Journals (Sweden)

    Maurizio Rosina

    2010-03-01

    Full Text Available Geographic ClustersOver the past decade, public alphanumeric database have been growing at exceptional rate. Most of data can be georeferenced, so that is possible gaining new knowledge from such databases. The contribution of this paper is two-fold. We first present a model of geographic clusters, which uses only geographic and functionally data properties. The model is useful to process huge amount of public/government data, even daily upgrading. After that, we merge the model into the framework GEOPOI (GEOcoding Points Of Interest, and show some graphic map results.

  2. Mapping the geographical distribution of lymphatic filariasis in Zambia

    DEFF Research Database (Denmark)

    Mwase, Enala T; Stensgaard, Anna-Sofie; Nsakashalo-Senkwe, Mutale;

    2014-01-01

    volunteers from 108 geo-referenced survey sites across Zambia were examined for circulating filarial antigens (CFA) with rapid format ICT cards, and a map indicating the distribution of CFA prevalences in Zambia was prepared. 78% of survey sites had CFA positive cases, with prevalences ranging between 1...... presence, and to predict potential suitable habitats over unsurveyed areas. Of note, areas associated with human modification of the landscape appeared to play an important role for the general presence of LF, whereas temperature (measured as averaged seasonal land surface temperature) seemed...

  3. The creation of digital thematic soil maps at the regional level (with the map of soil carbon pools in the Usa River basin as an example)

    Science.gov (United States)

    Pastukhov, A. V.; Kaverin, D. A.; Shchanov, V. M.

    2016-09-01

    A digital map of soil carbon pools was created for the forest-tundra ecotone in the Usa River basin with the use of ERDAS Imagine 2014 and ArcGIS 10.2 software. Supervised classification and thematic interpretation of satellite images and digital terrain models with the use of a georeferenced database on soil profiles were applied. Expert assessment of the natural diversity and representativeness of random samples for different soil groups was performed, and the minimal necessary size of the statistical sample was determined.

  4. geophylobuilder 1.0: an arcgis extension for creating 'geophylogenies'.

    Science.gov (United States)

    Kidd, David M; Liu, Xianhua

    2008-01-01

    Evolution is inherently a spatiotemporal process; however, despite this, phylogenetic and geographical data and models remain largely isolated from one another. Geographical information systems provide a ready-made spatial modelling, analysis and dissemination environment within which phylogenetic models can be explicitly linked with their associated spatial data and subsequently integrated with other georeferenced data sets describing the biotic and abiotic environment. geophylobuilder 1.0 is an extension for the arcgis geographical information system that builds a 'geophylogenetic' data model from a phylogenetic tree and associated geographical data. Geophylogenetic database objects can subsequently be queried, spatially analysed and visualized in both 2D and 3D within a geographical information systems.

  5. The type material of Mantodea (praying mantises) deposited in the National Museum of Natural History, Smithsonian Institution, USA.

    Science.gov (United States)

    Svenson, Gavin J

    2014-01-01

    The collection of Mantodea of the National Museum of Natural History, Smithsonian Institution, includes 26 holotypes, 7 allotypes, 4 lectotypes, 23 paratypes, and 1 paralectotype. Four type specimens were designated as lectotypes within this work. Highly accurate measurement data, high resolution images of specimens and labels, verbatim label data, georeferenced coordinates, original and newly assigned database codes, and bibliographic data are presented for all primary types. Label data for all paratype specimens in the collection are provide in tabular form. The location of the USNM collection has been moved to the Cleveland Museum of Natural History as a loan under the Off-site Enhancement Program.

  6. Mapping the geographical distribution of lymphatic filariasis in Zambia

    DEFF Research Database (Denmark)

    Mwase, Enala T; Stensgaard, Anna-Sofie; Nsakashalo-Senkwe, Mutale

    2014-01-01

    volunteers from 108 geo-referenced survey sites across Zambia were examined for circulating filarial antigens (CFA) with rapid format ICT cards, and a map indicating the distribution of CFA prevalences in Zambia was prepared. 78% of survey sites had CFA positive cases, with prevalences ranging between 1...... to be an important determinant of medium-high prevalence levels. CONCLUSIONS/SIGNIFICANCE: LF was found to be surprisingly widespread in Zambia, although in most places with low prevalence. The produced maps and the identified environmental correlates of LF infection will provide useful guidance for planning...

  7. Genetic landscapes GIS Toolbox: tools to map patterns of genetic divergence and diversity.

    Science.gov (United States)

    Vandergast, Amy G.; Perry, William M.; Lugo, Roberto V.; Hathaway, Stacie A.

    2011-01-01

    The Landscape Genetics GIS Toolbox contains tools that run in the Geographic Information System software, ArcGIS, to map genetic landscapes and to summarize multiple genetic landscapes as average and variance surfaces. These tools can be used to visualize the distribution of genetic diversity across geographic space and to study associations between patterns of genetic diversity and geographic features or other geo-referenced environmental data sets. Together, these tools create genetic landscape surfaces directly from tables containing genetic distance or diversity data and sample location coordinates, greatly reducing the complexity of building and analyzing these raster surfaces in a Geographic Information System.

  8. Research on target accuracy for ground-based lidar

    Science.gov (United States)

    Zhu, Ling; Shi, Ruoming

    2009-05-01

    In ground based Lidar system, the targets are used in the process of registration, georeferencing for point cloud, and also can be used as check points. Generally, the accuracy of capturing the flat target center is influenced by scanning range and scanning angle. In this research, the experiments are designed to extract accuracy index of the target center with 0-90°scan angles and 100-195 meter scan ranges using a Leica HDS3000 laser scanner. The data of the experiments are listed in detail and the related results are analyzed.

  9. Refined Satellite Image Orientation in the Free Open-Source Photogrammetric Tools Apero/micmac

    Science.gov (United States)

    Rupnik, E.; Pierrot Deseilligny, M.; Delorme, A.; Klinger, Y.

    2016-06-01

    This publication presents the RPC-based bundle adjustment implemented in the freeware open-source photogrammetric tool Apero/MicMac. The bundle adjustment model is based on some polynomial correction functions, enriched with a physical constraint that introduces the notion of a global sensor rotation into the model. The devised algorithms are evaluated against two datasets consisting of two stereo and a triplet pair of the Pleiades images. Two sets of correction functions and a number of GCPs configurations are examined. The obtained geo-referencing accuracy falls below the size of 1GSD.

  10. Correction of Airborne Pushbroom Images Orientation Using Bundle Adjustment of Frame Images

    Science.gov (United States)

    Barbieux, K.; Constantin, D.; Merminod, B.

    2016-06-01

    To compute hyperspectral orthophotos of an area, one may proceed like for standard RGB orthophotos : equip an aircraft or a drone with the appropriate camera, a GPS and an Inertial Measurement Unit (IMU). The position and attitude data from the navigation sensors, together with the collected images, can be input to a bundle adjustment which refines the estimation of the parameters and allows to create 3D models or orthophotos of the scene. But most of the hyperspectral cameras are pushbrooms sensors : they acquire lines of pixels. The bundle adjustment identifies tie points (using their 2D neighbourhoods) between different images to stitch them together. This is impossible when the input images are lines. To get around this problem, we propose a method that can be used when both a frame RGB camera and a hyperspectral pushbroom camera are used during the same flight. We first use the bundle adjustment theory to obtain corrected navigation parameters for the RGB camera. Then, assuming a small boresight between the RGB camera and the navigation sensors, we can estimate this boresight as well as the corrected position and attitude parameters for the navigation sensors. Finally, supposing that the boresight between these sensors and the pushbroom camera is constant during the flight, we can retrieve it by matching manually corresponding pairs of points between the current projection and a reference. Comparison between the direct georeferencing and the georeferencing with our method on three flights performed during the Leman-Baikal project shows great improvement of the ground accuracy.

  11. With Geospatial in Path of Smart City

    Science.gov (United States)

    Homainejad, A. S.

    2015-04-01

    With growth of urbanisation, there is a requirement for using the leverage of smart city in city management. The core of smart city is Information and Communication Technologies (ICT), and one of its elements is smart transport which includes sustainable transport and Intelligent Transport Systems (ITS). Cities and especially megacities are facing urgent transport challenge in traffic management. Geospatial can provide reliable tools for monitoring and coordinating traffic. In this paper a method for monitoring and managing the ongoing traffic in roads using aerial images and CCTV will be addressed. In this method, the road network was initially extracted and geo-referenced and captured in a 3D model. The aim is to detect and geo-referenced any vehicles on the road from images in order to assess the density and the volume of vehicles on the roads. If a traffic jam was recognised from the images, an alternative route would be suggested for easing the traffic jam. In a separate test, a road network was replicated in the computer and a simulated traffic was implemented in order to assess the traffic management during a pick time using this method.

  12. Integrated web system of geospatial data services for climate research

    Science.gov (United States)

    Okladnikov, Igor; Gordov, Evgeny; Titov, Alexander

    2016-04-01

    Georeferenced datasets are currently actively used for modeling, interpretation and forecasting of climatic and ecosystem changes on different spatial and temporal scales. Due to inherent heterogeneity of environmental datasets as well as their huge size (up to tens terabytes for a single dataset) a special software supporting studies in the climate and environmental change areas is required. An approach for integrated analysis of georefernced climatological data sets based on combination of web and GIS technologies in the framework of spatial data infrastructure paradigm is presented. According to this approach a dedicated data-processing web system for integrated analysis of heterogeneous georeferenced climatological and meteorological data is being developed. It is based on Open Geospatial Consortium (OGC) standards and involves many modern solutions such as object-oriented programming model, modular composition, and JavaScript libraries based on GeoExt library, ExtJS Framework and OpenLayers software. This work is supported by the Ministry of Education and Science of the Russian Federation, Agreement #14.613.21.0037.

  13. WoSIS: providing standardised soil profile data for the world

    Science.gov (United States)

    Batjes, Niels H.; Ribeiro, Eloi; van Oostrum, Ad; Leenaars, Johan; Hengl, Tom; Mendes de Jesus, Jorge

    2017-01-01

    The aim of the World Soil Information Service (WoSIS) is to serve quality-assessed, georeferenced soil data (point, polygon, and grid) to the international community upon their standardisation and harmonisation. So far, the focus has been on developing procedures for legacy point data with special attention to the selection of soil analytical and physical properties considered in the GlobalSoilMap specifications (e.g. organic carbon, soil pH, soil texture (sand, silt, and clay), coarse fragments ( definitions, soil property values, and soil analytical method descriptions. At the time of writing, the full WoSIS database contained some 118 400 unique shared soil profiles, of which some 96 000 are georeferenced within defined limits. In total, this corresponds with over 31 million soil records, of which some 20 % have so far been quality-assessed and standardised using the sequential procedure discussed in this paper. The number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Overall, the data lineage strongly determined which data could be standardised with acceptable confidence in accord with WoSIS procedures, corresponding to over 4 million records for 94 441 profiles. The publicly available data - WoSIS snapshot of July 2016 - are persistently accessible from ISRIC WDC-Soils through doi:10.17027/isric-wdcsoils.20160003.

  14. Bundle Block Adjustment of Airborne Three-Line Array Imagery Based on Rotation Angles

    Directory of Open Access Journals (Sweden)

    Yongjun Zhang

    2014-05-01

    Full Text Available In the midst of the rapid developments in electronic instruments and remote sensing technologies, airborne three-line array sensors and their applications are being widely promoted and plentiful research related to data processing and high precision geo-referencing technologies is under way. The exterior orientation parameters (EOPs, which are measured by the integrated positioning and orientation system (POS of airborne three-line sensors, however, have inevitable systematic errors, so the level of precision of direct geo-referencing is not sufficiently accurate for surveying and mapping applications. Consequently, a few ground control points are necessary to refine the exterior orientation parameters, and this paper will discuss bundle block adjustment models based on the systematic error compensation and the orientation image, considering the principle of an image sensor and the characteristics of the integrated POS. Unlike the models available in the literature, which mainly use a quaternion to represent the rotation matrix of exterior orientation, three rotation angles are directly used in order to effectively model and eliminate the systematic errors of the POS observations. Very good experimental results have been achieved with several real datasets that verify the correctness and effectiveness of the proposed adjustment models.

  15. Australian sea-floor survey data, with images and expert annotations.

    Science.gov (United States)

    Bewley, Michael; Friedman, Ariell; Ferrari, Renata; Hill, Nicole; Hovey, Renae; Barrett, Neville; Pizarro, Oscar; Figueira, Will; Meyer, Lisa; Babcock, Russ; Bellchambers, Lynda; Byrne, Maria; Williams, Stefan B

    2015-01-01

    This Australian benthic data set (BENTHOZ-2015) consists of an expert-annotated set of georeferenced benthic images and associated sensor data, captured by an autonomous underwater vehicle (AUV) around Australia. This type of data is of interest to marine scientists studying benthic habitats and organisms. AUVs collect georeferenced images over an area with consistent illumination and altitude, and make it possible to generate broad scale, photo-realistic 3D maps. Marine scientists then typically spend several minutes on each of thousands of images, labeling substratum type and biota at a subset of points. Labels from four Australian research groups were combined using the CATAMI classification scheme, a hierarchical classification scheme based on taxonomy and morphology for scoring marine imagery. This data set consists of 407,968 expert labeled points from around the Australian coast, with associated images, geolocation and other sensor data. The robotic surveys that collected this data form part of Australia's Integrated Marine Observing System (IMOS) ongoing benthic monitoring program. There is reuse potential in marine science, robotics, and computer vision research.

  16. RAINBIO: a mega-database of tropical African vascular plants distributions

    Science.gov (United States)

    Dauby, Gilles; Zaiss, Rainer; Blach-Overgaard, Anne; Catarino, Luís; Damen, Theo; Deblauwe, Vincent; Dessein, Steven; Dransfield, John; Droissart, Vincent; Duarte, Maria Cristina; Engledow, Henry; Fadeur, Geoffrey; Figueira, Rui; Gereau, Roy E.; Hardy, Olivier J.; Harris, David J.; de Heij, Janneke; Janssens, Steven; Klomberg, Yannick; Ley, Alexandra C.; Mackinder, Barbara A.; Meerts, Pierre; van de Poel, Jeike L.; Sonké, Bonaventure; Sosef, Marc S. M.; Stévart, Tariq; Stoffelen, Piet; Svenning, Jens-Christian; Sepulchre, Pierre; van der Burgt, Xander; Wieringa, Jan J.; Couvreur, Thomas L. P.

    2016-01-01

    Abstract The tropical vegetation of Africa is characterized by high levels of species diversity but is undergoing important shifts in response to ongoing climate change and increasing anthropogenic pressures. Although our knowledge of plant species distribution patterns in the African tropics has been improving over the years, it remains limited. Here we present RAINBIO, a unique comprehensive mega-database of georeferenced records for vascular plants in continental tropical Africa. The geographic focus of the database is the region south of the Sahel and north of Southern Africa, and the majority of data originate from tropical forest regions. RAINBIO is a compilation of 13 datasets either publicly available or personal ones. Numerous in depth data quality checks, automatic and manual via several African flora experts, were undertaken for georeferencing, standardization of taxonomic names and identification and merging of duplicated records. The resulting RAINBIO data allows exploration and extraction of distribution data for 25,356 native tropical African vascular plant species, which represents ca. 89% of all known plant species in the area of interest. Habit information is also provided for 91% of these species. PMID:28127234

  17. An ISVD-based Euclidian structure from motion for smartphones

    Science.gov (United States)

    Masiero, A.; Guarnieri, A.; Vettore, A.; Pirotti, F.

    2014-06-01

    The development of Mobile Mapping systems over the last decades allowed to quickly collect georeferenced spatial measurements by means of sensors mounted on mobile vehicles. Despite the large number of applications that can potentially take advantage of such systems, because of their cost their use is currently typically limited to certain specialized organizations, companies, and Universities. However, the recent worldwide diffusion of powerful mobile devices typically embedded with GPS, Inertial Navigation System (INS), and imaging sensors is enabling the development of small and compact mobile mapping systems. More specifically, this paper considers the development of a 3D reconstruction system based on photogrammetry methods for smartphones (or other similar mobile devices). The limited computational resources available in such systems and the users' request for real time reconstructions impose very stringent requirements on the computational burden of the 3D reconstruction procedure. This work takes advantage of certain recently developed mathematical tools (incremental singular value decomposition) and of photogrammetry techniques (structure from motion, Tomasi-Kanade factorization) to access very computationally efficient Euclidian 3D reconstruction of the scene. Furthermore, thanks to the presence of instrumentation for localization embedded in the device, the obtained 3D reconstruction can be properly georeferenced.

  18. RAINBIO: a mega-database of tropical African vascular plants distributions

    Directory of Open Access Journals (Sweden)

    Dauby Gilles

    2016-11-01

    Full Text Available The tropical vegetation of Africa is characterized by high levels of species diversity but is undergoing important shifts in response to ongoing climate change and increasing anthropogenic pressures. Although our knowledge of plant species distribution patterns in the African tropics has been improving over the years, it remains limited. Here we present RAINBIO, a unique comprehensive mega-database of georeferenced records for vascular plants in continental tropical Africa. The geographic focus of the database is the region south of the Sahel and north of Southern Africa, and the majority of data originate from tropical forest regions. RAINBIO is a compilation of 13 datasets either publicly available or personal ones. Numerous in depth data quality checks, automatic and manual via several African flora experts, were undertaken for georeferencing, standardization of taxonomic names and identification and merging of duplicated records. The resulting RAINBIO data allows exploration and extraction of distribution data for 25,356 native tropical African vascular plant species, which represents ca. 89% of all known plant species in the area of interest. Habit information is also provided for 91% of these species.

  19. Flood risk assessment of land pollution hotspots

    Science.gov (United States)

    Masi, Matteo; Arrighi, Chiara; Iannelli, Renato

    2017-04-01

    Among the risks caused by extreme events, the potential spread of pollutants stored in land hotspots due to floods is an aspect that has been rarely examined with a risk-based approach. In this contribution, an attempt to estimate pollution risks related to flood events of land pollution hotspots was carried out. Flood risk has been defined as the combination of river flood hazard, hotspots exposure and vulnerability to contamination of the area, i.e. the expected severity of the environmental impacts. The assessment was performed on a geographical basis, using geo-referenced open data, available from databases of land management institutions, authorities and agencies. The list of land pollution hotspots included landfills and other waste handling facilities (e.g., temporary storage, treatment and recycling sites), municipal wastewater treatment plants, liquid waste treatment facilities and contaminated sites. The assessment was carried out by combining geo-referenced data of pollution hotspots with flood hazard maps. We derived maps of land pollution risk based on geographical and geological properties and source characteristics available from environmental authorities. These included information about soil particle size, soil hydraulic conductivity, terrain slope, type of stored pollutants, the type of facility, capacity, size of the area, land use, etc. The analysis was carried out at catchment scale. The case study of the Arno river basin in Tuscany (central Italy) is presented.

  20. a Three-Dimensional Simulation and Visualization System for Uav Photogrammetry

    Science.gov (United States)

    Liang, Y.; Qu, Y.; Cui, T.

    2017-08-01

    Nowadays UAVs has been widely used for large-scale surveying and mapping. Compared with manned aircraft, UAVs are more cost-effective and responsive. However, UAVs are usually more sensitive to wind condition, which greatly influences their positions and orientations. The flight height of a UAV is relative low, and the relief of the terrain may result in serious occlusions. Moreover, the observations acquired by the Position and Orientation System (POS) are usually less accurate than those acquired in manned aerial photogrammetry. All of these factors bring in uncertainties to UAV photogrammetry. To investigate these uncertainties, a three-dimensional simulation and visualization system has been developed. The system is demonstrated with flight plan evaluation, image matching, POS-supported direct georeferencing, and ortho-mosaicing. Experimental results show that the presented system is effective for flight plan evaluation. The generated image pairs are accurate and false matches can be effectively filtered. The presented system dynamically visualizes the results of direct georeferencing in three-dimensions, which is informative and effective for real-time target tracking and positioning. The dynamically generated orthomosaic can be used in emergency applications. The presented system has also been used for teaching theories and applications of UAV photogrammetry.