WorldWideScience

Sample records for aerial surveying

  1. AMRMS Aerial survey database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — An aerial monitoring program was conducted during the period 1962 - 2003 in cooperation with aerial spotters working for the commercial purse seine fleet. Flights...

  2. Unmanned aerial survey of elephants.

    Science.gov (United States)

    Vermeulen, Cédric; Lejeune, Philippe; Lisein, Jonathan; Sawadogo, Prosper; Bouché, Philippe

    2013-01-01

    The use of a UAS (Unmanned Aircraft System) was tested to survey large mammals in the Nazinga Game Ranch in the south of Burkina Faso. The Gatewing ×100™ equipped with a Ricoh GR III camera was used to test animal reaction as the UAS passed, and visibility on the images. No reaction was recorded as the UAS passed at a height of 100 m. Observations, made on a set of more than 7000 images, revealed that only elephants (Loxodonta africana) were easily visible while medium and small sized mammals were not. The easy observation of elephants allows experts to enumerate them on images acquired at a height of 100 m. We, therefore, implemented an aerial strip sample count along transects used for the annual wildlife foot count. A total of 34 elephants were recorded on 4 transects, each overflown twice. The elephant density was estimated at 2.47 elephants/km(2) with a coefficient of variation (CV%) of 36.10%. The main drawback of our UAS was its low autonomy (45 min). Increased endurance of small UAS is required to replace manned aircraft survey of large areas (about 1000 km of transect per day vs 40 km for our UAS). The monitoring strategy should be adapted according to the sampling plan. Also, the UAS is as expensive as a second-hand light aircraft. However the logistic and flight implementation are easier, the running costs are lower and its use is safer. Technological evolution will make civil UAS more efficient, allowing them to compete with light aircraft for aerial wildlife surveys.

  3. Unmanned aerial survey of elephants.

    Directory of Open Access Journals (Sweden)

    Cédric Vermeulen

    Full Text Available The use of a UAS (Unmanned Aircraft System was tested to survey large mammals in the Nazinga Game Ranch in the south of Burkina Faso. The Gatewing ×100™ equipped with a Ricoh GR III camera was used to test animal reaction as the UAS passed, and visibility on the images. No reaction was recorded as the UAS passed at a height of 100 m. Observations, made on a set of more than 7000 images, revealed that only elephants (Loxodonta africana were easily visible while medium and small sized mammals were not. The easy observation of elephants allows experts to enumerate them on images acquired at a height of 100 m. We, therefore, implemented an aerial strip sample count along transects used for the annual wildlife foot count. A total of 34 elephants were recorded on 4 transects, each overflown twice. The elephant density was estimated at 2.47 elephants/km(2 with a coefficient of variation (CV% of 36.10%. The main drawback of our UAS was its low autonomy (45 min. Increased endurance of small UAS is required to replace manned aircraft survey of large areas (about 1000 km of transect per day vs 40 km for our UAS. The monitoring strategy should be adapted according to the sampling plan. Also, the UAS is as expensive as a second-hand light aircraft. However the logistic and flight implementation are easier, the running costs are lower and its use is safer. Technological evolution will make civil UAS more efficient, allowing them to compete with light aircraft for aerial wildlife surveys.

  4. Atlantic Protected Species Assessment Aerial Surveys

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These data sets include a compilation of aerial line-transect surveys conducted over continental shelf waters of the southeastern U.S. Surveys have been conducted...

  5. Aerial Gamma-Ray Surveys in Alaska

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Data generated by aerial sensing of radiation emanating from the earth's surface in Alaska provides general estimates of the geographic distribution of Uranium,...

  6. Aerial Survey Units for Harbor Seals in Coastal Alaska

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial surveys of coastal Alaska are the primary method for estimating abundance of harbor seals. A particular challenge associated with aerial surveys of harbor...

  7. Inertial instrument system for aerial surveying

    Science.gov (United States)

    Brown, R.H.; Chapman, W.H.; Hanna, W.F.; Mongan, C.E.; Hursh, J.W.

    1985-01-01

    An inertial guidance system for aerial surveying has been developed under contract to the U.S. Geological Survey. This prototype system, known as the aerial profiling of terrain (APT) system, is designed to determine continuously the positions of points along an aircraft flight path, or the underlying terrain profile, to an accuracy of + or - 0.5 ft (15 cm) vertically and + or - 2 ft (61 cm) horizontally. The system 's objective thus is to accomplish, from a fixed-wing aircraft, what would traditionally be accomplished from ground-based topographic surveys combined with aerial photography and photogrammetry. The two-part strategy for measuring the terrain profile entails: (1) use of an inertial navigator for continuous determination of the three-coordinate position of the aircraft, and (2) use of an eye-safe pulsed laser profiler for continuous measurement of the vertical distance from aircraft to land surface, so that the desired terrain profile can then be directly computed. The APT system, installed in a DeHavilland Twin Otter aircraft, is typically flown at a speed of 115 mph (105 knots) at an altitude of 2,000 ft (610 m) above the terrain. Performance-evaluation flights have shown that the vertical and horizontal accuracy specifications are met. (USGS)

  8. Gulf of Mexico Protected Species Assessment Aerial Surveys

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These data sets include a compilation of aerial line-transect surveys conducted over continental shelf waters of the Gulf of Mexico since 1992. The majority of these...

  9. Gulf of Mexico Marine Mammal Assessment Aerial Surveys - NRDA

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial surveys were conducted during the spring-summer of 2010 and seasonally during 2011-2012 to assess the abundance and spatial distribution of marine mammals and...

  10. Aerial survey of sea otters and other marine mammals

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — An aerial survey, 19 April to 9 May 1965, yielded information on marine mammals and birds in the Aleutian Islands and limited areas among the Alaska Peninsula. A...

  11. An analysis of aerial waterfowl production surveys in Alaska

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — In 1961 an effort was launched to conduct a full scale operational aerial brood survey, previous experimental failures notwithstanding. The project was terminated as...

  12. Concept options for the aerial survey of Titan

    Science.gov (United States)

    Dorrington, G. E.

    2011-01-01

    Various aerial platforms intended for long endurance survey of the Titan surface are presented. A few novel concepts are introduced, including a heated methane balloon and a balloon with a tethered wind turbine. All the concept options are predicted to have lower scientific payload fractions than the Huygens probe. It is concluded that the selection of the best aerial platform option depends on more accurate mass estimates and a clear decision on whether, or not, in situ surface composition measurements are required in conjunction with aerial remote sensing.

  13. An aerial radiological survey of the Nevada Test Site

    Energy Technology Data Exchange (ETDEWEB)

    Hendricks, T J; Riedhauser, S R

    1999-12-01

    A team from the Remote Sensing Laboratory conducted an aerial radiological survey of the US Department of Energy's Nevada Test Site including three neighboring areas during August and September 1994. The survey team measured the terrestrial gamma radiation at the Nevada Test Site to determine the levels of natural and man-made radiation. This survey included the areas covered by previous surveys conducted from 1962 through 1993. The results of the aerial survey showed a terrestrial background exposure rate that varied from less than 6 microroentgens per hour (mR/h) to 50 mR/h plus a cosmic-ray contribution that varied from 4.5 mR/h at an elevation of 900 meters (3,000 feet) to 8.5 mR/h at 2,400 meters (8,000 feet). In addition to the principal gamma-emitting, naturally occurring isotopes (potassium-40, thallium-208, bismuth-214, and actinium-228), the man-made radioactive isotopes found in this survey were cobalt-60, cesium-137, europium-152, protactinium-234m an indicator of depleted uranium, and americium-241, which are due to human actions in the survey area. Individual, site-wide plots of gross terrestrial exposure rate, man-made exposure rate, and americium-241 activity (approximating the distribution of all transuranic material) are presented. In addition, expanded plots of individual areas exhibiting these man-made contaminations are given. A comparison is made between the data from this survey and previous aerial radiological surveys of the Nevada Test Site. Some previous ground-based measurements are discussed and related to the aerial data. In regions away from man-made activity, the exposure rates inferred from the gamma-ray measurements collected during this survey agreed very well with the exposure rates inferred from previous aerial surveys.

  14. National Geodetic Survey's Airport Aerial Photography

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Geodetic Survey (NGS), formerly part of the U.S. Coast and Geodetic Survey, has been performing Aeronautical surveys since the 1920's. NGS, in...

  15. An aerial radiological survey of Maralinga and EMU, South Australia

    Energy Technology Data Exchange (ETDEWEB)

    Tipton, W J; Berry, H A; Fritzsche, A E

    1988-10-01

    An aerial radiological survey was conducted over the former British nuclear test ranges at Maralinga and Emu in South Australia from May through July 1987. The survey covered an area of approximately 1,550 square kilometers which included the nine major trial sites, where a nuclear yield occurred, and all the minor trial sites, where physics experiments were conducted. Flight lines were flown at an altitude of 30 meters with line spacings of 50, 100, and 200 meters depending on the area and whether man-made contamination was present. Results of the aerial survey were processed for americium-241 (used to determine plutonium contamination), cesium-137, cobalt-60, and uranium-238. The aerial survey also detected the presence of europium-152, a soil activation product, in the immediate vicinity of the major trial ground zeros. Ground measurements were also made at approximately 120 locations using a high-resolution germanium detector to provide supplemental data for the aerial survey. This survey was conducted as part of a series of studies being conducted over a two to three-year timeframe to obtain information from which options and associated costs can be formulated about the decontamination and possible rehabilitation of the former nuclear test sites.

  16. Pilot aerial infrared roof top survey. Final report

    Energy Technology Data Exchange (ETDEWEB)

    1979-10-15

    A summary is presented of a pilot aerial infrared roof top study conducted by the Minnesota Energy Agency. Infrared surveys of 27 Minnesota cities were conducted during the fall and winter of the 1976-1977 heating season. In addition, conventional daytime color photographs were taken of several cities. Film processing was done by the Environmental Protection Agency. The University of Minnesota conducted ground tests to verify the aerial infrared imagery. Thermograph dissemination centers were established in each city and training seminars and materials were prepared and delivered to dissemination center staff. A survey of homeowners who viewed their thermograph at a dissemination center were used to determine the energy savings resulting from the program. An Aerial Infrared Program Users Manual was prepared by the Energy Agency and the Remote Sensing Institute of Brookings, South Dakota.

  17. Aerial Survey of Emperor Geese and other Waterbirds in Southwestern Alaska, Fall 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A fall aerial emperor goose survey was conducted on the Alaska Peninsula for the 21st consecutive year in 1999. Replicate aerial surveys of the north side of the...

  18. A hybrid double-observer sightability model for aerial surveys

    Science.gov (United States)

    Griffin, Paul C.; Lubow, Bruce C.; Jenkins, Kurt J.; Vales, David J.; Moeller, Barbara J.; Reid, Mason; Happe, Patricia J.; Mccorquodale, Scott M.; Tirhi, Michelle J.; Schaberi, Jim P.; Beirne, Katherine

    2013-01-01

    Raw counts from aerial surveys make no correction for undetected animals and provide no estimate of precision with which to judge the utility of the counts. Sightability modeling and double-observer (DO) modeling are 2 commonly used approaches to account for detection bias and to estimate precision in aerial surveys. We developed a hybrid DO sightability model (model MH) that uses the strength of each approach to overcome the weakness in the other, for aerial surveys of elk (Cervus elaphus). The hybrid approach uses detection patterns of 2 independent observer pairs in a helicopter and telemetry-based detections of collared elk groups. Candidate MH models reflected hypotheses about effects of recorded covariates and unmodeled heterogeneity on the separate front-seat observer pair and back-seat observer pair detection probabilities. Group size and concealing vegetation cover strongly influenced detection probabilities. The pilot's previous experience participating in aerial surveys influenced detection by the front pair of observers if the elk group was on the pilot's side of the helicopter flight path. In 9 surveys in Mount Rainier National Park, the raw number of elk counted was approximately 80–93% of the abundance estimated by model MH. Uncorrected ratios of bulls per 100 cows generally were low compared to estimates adjusted for detection bias, but ratios of calves per 100 cows were comparable whether based on raw survey counts or adjusted estimates. The hybrid method was an improvement over commonly used alternatives, with improved precision compared to sightability modeling and reduced bias compared to DO modeling.

  19. Aerial thermography surveys find insulator and other problems

    Energy Technology Data Exchange (ETDEWEB)

    Brydges, D. [Hydro One Networks Inc., Toronto, ON (Canada)

    2008-06-15

    Aerial thermal imaging surveying is now regularly used on Hydro One's transmission electrical system. The survey were initially conducted to identify insulator failures and wood arm deterioration after a cost benefits analysis indicated that identifying components for repair represented a fraction of the costs associated with reactive unplanned repair approaches.. Hydro One's circuits are now inspected on a priority basis. Minimum load requirements are obtained before the surveys are carried out, and system outages are monitored along with seasonal weather patterns. Surveys are conducted using a Polytec Kelvin 350 Gyro stabilized Gimbal that contains an infrared camera, a video recorder, and a camera. The system is placed on a helicopter that flies close to utility wires in order to detect anomalies. Data obtained by the helicopter surveys are then analyzed. Common analyzers include problems with bolted pads and conductor splices. Insulator anomalies include porcelain failures and problems with a lack of bonding between the rubber housing and fiberglass rods on non-ceramic insulators. It was concluded that aerial thermography plays an important role in ensuring system security. 23 figs.

  20. Aerial Measuring System (AMS) Baseline Surveys for Emergency Planning

    Energy Technology Data Exchange (ETDEWEB)

    Lyons, C

    2012-06-04

    Originally established in the 1960s to support the Nuclear Test Program, the AMS mission is to provide a rapid and comprehensive worldwide aerial measurement, analysis, and interpretation capability in response to a nuclear/radiological emergency. AMS provides a responsive team of individuals whose processes allow for a mission to be conducted and completed with results available within hours. This presentation slide-show reviews some of the history of the AMS, summarizes present capabilities and methods, and addresses the value of the surveys.

  1. Aerial surveys of marine mammals and other fauna around Aruba, Curacao and Bonaire, November 2013

    NARCIS (Netherlands)

    Geelhoed, S.C.V.; Janinhoff, N.; Verdaat, J.P.; Bemmelen, van R.S.A.; Scheidat, M.

    2014-01-01

    In November 2013 aerial surveys were conducted for the first time in the Exclusive Economic Zone of Aruba, Curaçao and Bonaire to evaluate aerial surveys as a tool for marine mammal surveys in these waters, and to assess the distribution and abundance of marine mammals. A secondary aim of these surv

  2. Aerial infrared surveys in the investigation of geothermal and volcanic heat sources

    Science.gov (United States)

    ,

    1995-01-01

    This factsheet briefly summarizes and clarifies the application of aerial infrared surveys in geophysical exploration for geothermal energy sources and environmental monitoring for potential volcanic hazards.

  3. AMS/NRCan Joint Survey Report: Aerial Campaign

    Energy Technology Data Exchange (ETDEWEB)

    Wasiolek, Piotr [National Security Technologies, LLC. (NSTec), Mercury, NV (United States); Stampahar, Jez [National Security Technologies, LLC. (NSTec), Mercury, NV (United States); Malchow, Rusty [National Security Technologies, LLC. (NSTec), Mercury, NV (United States); Stampahar, Tom [National Security Technologies, LLC. (NSTec), Mercury, NV (United States); Lukens, Mike [National Security Technologies, LLC. (NSTec), Mercury, NV (United States); Seywerd, Henry [Natural Resources Canada (Canada); Fortin, Richard [Natural Resources Canada (Canada); Harvey, Brad [Natural Resources Canada (Canada); Sinclair, Laurel [Natural Resources Canada (Canada)

    2014-12-31

    In January 2014 the U.S. Department of Energy (DOE), National Nuclear Security Administration (NNSA) Aerial Measuring System (AMS) and the Natural Resources Canada (NRCan) Nuclear Emergency Response project conducted a series of joint surveys at a number of locations in Nevada including the Nevada National Security Site (NNSS). The goal of this project was to compare the responses of the two agencies’ aerial radiation detection systems and data analysis techniques. This test included varied radioactive surface contamination levels and isotopic composition experienced at the NNSS and the differing data processing techniques utilized by the respective teams. Because both teams used the commercial aerial radiation detection systems from Radiation Solutions, Inc., the main focus of the campaign was to investigate the data acquisition techniques, data analysis, and ground-truth verification. The NRCan system consisted of four 4" × 4" × 16" NaI(Tl) scintillator crystals of which two were externally mounted in a modified commercial cargo basket certified for the Eurocopter AS350; the NNSA AMS system consisted of twelve 2" × 4" × 16" NaI(Tl) crystals in externally mounted dedicated pods. For NRCan, the joint survey provided an opportunity to characterize their system’s response to extended sources of various fission products at the NNSS. Since both systems play an important role in their respective countries’ national framework of radiological emergency response and are subject to multiple mutual cooperation agreements, it was important for each country to obtain more thorough knowledge of how they would employ these important assets and define the roles that they would each play in an actual response.

  4. Low Cost Surveying Using AN Unmanned Aerial Vehicle

    Science.gov (United States)

    Pérez, M.; Agüera, F.; Carvajal, F.

    2013-08-01

    Traditional manned airborne surveys are usually expensive and the resolution of the acquired images is often limited. The main advantage of Unmanned Aerial Vehicle (UAV) system acting as a photogrammetric sensor platform over more traditional manned airborne system is the high flexibility that allows image acquisition from unconventional viewpoints, the low cost in comparison with classical aerial photogrammetry and the high resolution images obtained. Nowadays there is a necessity for surveying small areas and in these cases, it is not economical the use of normal large format aerial or metric cameras to acquire aerial photos, therefore, the use of UAV platforms can be very suitable. Also the large availability of digital cameras has strongly enhanced the capabilities of UAVs. The use of digital non metric cameras together with the UAV could be used for multiple applications such as aerial surveys, GIS, wildfire mapping, stability of landslides, crop monitoring, etc. The aim of this work was to develop a low cost and accurate methodology in the production of orthophotos and Digital Elevation Models (DEM). The study was conducted in the province of Almeria, south of Spain. The photogrammetric flight had an altitude of 50 m over ground, covering an area of 5.000 m2 approximately. The UAV used in this work was the md4-200, which is an electronic battery powered quadrocopter UAV developed by Microdrones GmbH, Germany. It had on-board a Pextax Optio A40 digital non metric camera with 12 Megapixels. It features a 3x optical zoom lens with a focal range covering angles of view equivalent to those of 37-111 mm lens in 35 mm format. The quadrocopter can be programmed to follow a route defined by several waypoints and actions and it has the ability for vertical take off and landing. Proper flight geometry during image acquisition is essential in order to minimize the number of photographs, avoid areas without a good coverage and make the overlaps homogeneous. The flight

  5. Detection probability in aerial surveys of feral horses

    Science.gov (United States)

    Ransom, Jason I.

    2011-01-01

    Observation bias pervades data collected during aerial surveys of large animals, and although some sources can be mitigated with informed planning, others must be addressed using valid sampling techniques that carefully model detection probability. Nonetheless, aerial surveys are frequently employed to count large mammals without applying such methods to account for heterogeneity in visibility of animal groups on the landscape. This often leaves managers and interest groups at odds over decisions that are not adequately informed. I analyzed detection of feral horse (Equus caballus) groups by dual independent observers from 24 fixed-wing and 16 helicopter flights using mixed-effect logistic regression models to investigate potential sources of observation bias. I accounted for observer skill, population location, and aircraft type in the model structure and analyzed the effects of group size, sun effect (position related to observer), vegetation type, topography, cloud cover, percent snow cover, and observer fatigue on detection of horse groups. The most important model-averaged effects for both fixed-wing and helicopter surveys included group size (fixed-wing: odds ratio = 0.891, 95% CI = 0.850–0.935; helicopter: odds ratio = 0.640, 95% CI = 0.587–0.698) and sun effect (fixed-wing: odds ratio = 0.632, 95% CI = 0.350–1.141; helicopter: odds ratio = 0.194, 95% CI = 0.080–0.470). Observer fatigue was also an important effect in the best model for helicopter surveys, with detection probability declining after 3 hr of survey time (odds ratio = 0.278, 95% CI = 0.144–0.537). Biases arising from sun effect and observer fatigue can be mitigated by pre-flight survey design. Other sources of bias, such as those arising from group size, topography, and vegetation can only be addressed by employing valid sampling techniques such as double sampling, mark–resight (batch-marked animals), mark–recapture (uniquely marked and

  6. AFSC/NMML: Small cetacean aerial survey in Alaskan waters, 1997-1999

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial surveys were conducted to produce abundance estimates for the three Alaska stocks of harbor porpoise. Surveys occurred from May to July 1997 for the Southeast...

  7. Rays in the northern Gulf of Mexico: Aerial Survey and Satellite Telemetry 2008-2012 (NCEI Accession 0129495)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The dataset contains distribution and abundance data for rays in the Gulf of Mexico collected through aerial surveys and satellite telemetry. Aerial survey data...

  8. New aerial survey and hierarchical model to estimate manatee abundance

    Science.gov (United States)

    Langimm, Cahterine A.; Dorazio, Robert M.; Stith, Bradley M.; Doyle, Terry J.

    2011-01-01

    Monitoring the response of endangered and protected species to hydrological restoration is a major component of the adaptive management framework of the Comprehensive Everglades Restoration Plan. The endangered Florida manatee (Trichechus manatus latirostris) lives at the marine-freshwater interface in southwest Florida and is likely to be affected by hydrologic restoration. To provide managers with prerestoration information on distribution and abundance for postrestoration comparison, we developed and implemented a new aerial survey design and hierarchical statistical model to estimate and map abundance of manatees as a function of patch-specific habitat characteristics, indicative of manatee requirements for offshore forage (seagrass), inland fresh drinking water, and warm-water winter refuge. We estimated the number of groups of manatees from dual-observer counts and estimated the number of individuals within groups by removal sampling. Our model is unique in that we jointly analyzed group and individual counts using assumptions that allow probabilities of group detection to depend on group size. Ours is the first analysis of manatee aerial surveys to model spatial and temporal abundance of manatees in association with habitat type while accounting for imperfect detection. We conducted the study in the Ten Thousand Islands area of southwestern Florida, USA, which was expected to be affected by the Picayune Strand Restoration Project to restore hydrology altered for a failed real-estate development. We conducted 11 surveys in 2006, spanning the cold, dry season and warm, wet season. To examine short-term and seasonal changes in distribution we flew paired surveys 1–2 days apart within a given month during the year. Manatees were sparsely distributed across the landscape in small groups. Probability of detection of a group increased with group size; the magnitude of the relationship between group size and detection probability varied among surveys. Probability

  9. Aerial surveys adjusted by ground surveys to estimate area occupied by black-tailed prairie dog colonies

    Science.gov (United States)

    Sidle, John G.; Augustine, David J.; Johnson, Douglas H.; Miller, Sterling D.; Cully, Jack F.; Reading, Richard P.

    2012-01-01

    Aerial surveys using line-intercept methods are one approach to estimate the extent of prairie dog colonies in a large geographic area. Although black-tailed prairie dogs (Cynomys ludovicianus) construct conspicuous mounds at burrow openings, aerial observers have difficulty discriminating between areas with burrows occupied by prairie dogs (colonies) versus areas of uninhabited burrows (uninhabited colony sites). Consequently, aerial line-intercept surveys may overestimate prairie dog colony extent unless adjusted by an on-the-ground inspection of a sample of intercepts. We compared aerial line-intercept surveys conducted over 2 National Grasslands in Colorado, USA, with independent ground-mapping of known black-tailed prairie dog colonies. Aerial line-intercepts adjusted by ground surveys using a single activity category adjustment overestimated colonies by ≥94% on the Comanche National Grassland and ≥58% on the Pawnee National Grassland. We present a ground-survey technique that involves 1) visiting on the ground a subset of aerial intercepts classified as occupied colonies plus a subset of intercepts classified as uninhabited colony sites, and 2) based on these ground observations, recording the proportion of each aerial intercept that intersects a colony and the proportion that intersects an uninhabited colony site. Where line-intercept techniques are applied to aerial surveys or remotely sensed imagery, this method can provide more accurate estimates of black-tailed prairie dog abundance and trends

  10. Distance estimation experiment for aerial minke whale surveys

    Directory of Open Access Journals (Sweden)

    Lars Witting

    2009-09-01

    Full Text Available A comparative study between aerial cue–counting and digital photography surveys for minke whales conducted in Faxaflói Bay in September 2003 is used to check the perpendicular distances estimated by the cue-counting observers. The study involved 2 aircraft with the photo plane at 1,700 feet flying above the cue–counting plane at 750 feet. The observer–based distance estimates were calculated from head angles estimated by angle-boards and declination angles estimated by declinometers. These distances were checked against image–based estimates of the perpendicular distance to the same whale. The 2 independent distance estimates were obtained for 21 sightings of minke whale, and there was a good agreement between the 2 types of estimates. The relative absolute deviations between the 2 estimates were on average 23% (se: 6%, with the errors in the observer–based distance estimates resembling that of a log-normal distribution. The linear regression of the observer–based estimates (obs on the image–based estimates (img was Obs=1.1Img (R2=0.85 with an intercept fixed at zero. There was no evidence of a distance estimation bias that could generate a positive bias in the absolute abundance estimated by cue–counting.

  11. Results of aerial surveys of migratory birds on NPR-A in 1977 and 1978

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes the results of aerial surveys flown in 1977 and1978 on the National Petroleum Reserve in Alaska (NPR-A) to determine densities and...

  12. Aerial Survey Counts of Harbor Seals in Lake Iliamna, Alaska, 1984-2013 (NODC Accession 0123188)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset provides counts of harbor seals from aerial surveys over Lake Iliamna, Alaska, USA. The data have been collated from three previously published sources...

  13. Aerial Survey Trend Counts of Harbor Seals in Coastal Alaska (1984-2006) - ADF&G

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial surveys were conducted during 1983–2006 in the Ketchikan, Sitka, Kodiak, and Bristol Bay areas of Alaska to estimate trends in abundance of harbor seals.

  14. Stream life of spawning pink salmon and the method of escapement enumeration by aerial survey: Draft

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Aerial surveys are currently used as the method tor escapement enumeration of pink salmon throughout Alaska. Other escapement enumeration methods cannot be...

  15. Development of an aerial breeding pair survey for geese nesting in the Copper River Delta

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The U.S. Fish and Wildlife Service initiated a new aerial survey of breeding dusky Canada geese (Branta canadensis occidentalis) on the Copper River Delta in 1986...

  16. Observations of Whooping Cranes During Winter Aerial Surveys: 1950–2011

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Aransas-Wood Buffalo population of whooping cranes (Grus americana) declined to near extinction by the 1940s. Starting in winter 1950–1951, annual aerial surveys...

  17. AFSC/NMML: Bowhead Whale Aerial Abundance Survey off Barrow, Alaska, Spring 2011

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographic surveys for bowhead whales were conducted near Point Barrow, Alaska, from 19 April to 6 June in 2011. Approximately 4,594 photographs containing...

  18. Aerial Survey Routes for Wintering, Migratory Waterfowl on Pocosin Lakes National

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document does not have required map criteria but provides important information of the historic and present aerial routes for surveying wintering, migratory...

  19. Aerial breeding pair surveys of the Arctic Coastal Plain of Alaska - 1996

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — In 1996 an aerial breeding pair survey was conducted on the Arctic Coastal Plain of Alaska for the 11th consecutive year. All major species of waterfowl indicated...

  20. AFSC/NMML: Beluga whale Counts from Aerial Surveys in Cook Inlet, Alaska, 1993-2014

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Marine Mammal Laboratory conducted aerial surveys to monitor the abundance and distribution of beluga whales in Cook Inlet, Alaska. This database...

  1. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 7, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  2. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 1, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  3. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 21, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  4. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 15, 2000

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  5. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: March 5, 2003

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  6. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 21, 2000

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  7. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 30, 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  8. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: October 23, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  9. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 18, 2005

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  10. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 17, 2004

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  11. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 19, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  12. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 10, 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  13. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 2, 2005

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  14. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: October 28, 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  15. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 19, 2003

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  16. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 16, 2004

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  17. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 2, 2004

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  18. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 8, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  19. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 5, 2003

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  20. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 13, 2003

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  1. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 9, 2004

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  2. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 6, 2000

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  3. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: March 5, 2005

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  4. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 2, 2006.

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  5. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 17, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  6. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 25, 2003

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  7. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 26, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  8. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 3, 2003

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  9. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: October 22, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  10. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: October 31, 2000

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  11. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: March 2, 2004

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  12. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 19, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  13. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 8, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  14. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 4, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  15. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 20, 2005.

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  16. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 27, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  17. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 23, 2004

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  18. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 14, 2004

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  19. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: March 8, 2000

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  20. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 9, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  1. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 15, 2005.

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  2. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: March 1, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  3. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 21, 2003

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  4. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: November 1, 2005.

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  5. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: December 13, 2000

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  6. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: February 14, 2002

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  7. A statistical evaluation of factors influencing aerial survey results on brown bears

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report is a statistical evaluation of factors influencing aerial survey results on Brown Bears. The purpose of this study was to provide a statistical...

  8. Aerial Breeding Pair Surveys of the Arctic Coastal Plain of Alaska : Distribution and Abundance 1995

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — An aerial breeding pair survey was conducted on the Arctic Coastal Plain of Alaska for the 10th consecutive year in 1995. The population estimate for the northern...

  9. Aerial Survey for Wintering, Migratory Waterfowl on Pocosin Lakes National Wildlife Refuge: January 5, 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The aerial waterfowl surveys document the number of wintering, migratory waterfowl by species for management units on Pocosin Lakes National Wildlife Refuge, Lake...

  10. A Dataset of Aerial Survey Counts of Harbor Seals in Iliamna Lake, Alaska: 1984-2013

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset provides counts of harbor seals from aerial surveys over Iliamna Lake, Alaska, USA. The data have been collated from three previously published sources...

  11. Using aerial surveys to estimate density and distribution of harbour porpoises in Dutch waters

    NARCIS (Netherlands)

    Scheidat, M.; Verdaat, J.P.; Aarts, G.M.

    2012-01-01

    To investigate harbour porpoise density and distribution in Dutch waters, dedicated line transect distance sampling aerial surveys were conducted from May 2008 to March 2010. In total 10,557 km were covered on survey effort during 16 survey days in February to May, August, November and December. Usi

  12. Status of aerial survey emergency preparedness and ground support equipment, calibration, and sensitivities

    Energy Technology Data Exchange (ETDEWEB)

    Dahlstrom, T.S.

    1986-01-01

    During the course of EG and G Energy Measurements, Inc. history in aerial surveillance, the scope of response has broadened from routine surveys and accident response with aerial systems, to being prepared to respond to any radiological incident with aerial, ground mobile, and hand-held instrumentation. The aerial survey system presently consists of four MBB BO-105 helicopters outfitted with gamma pods and specialized navigation systems (MRS or URS) that allow the operator and pilot to fly well-defined survey lines. Minimum detectable activities (MDA) for various isotopes range from a few tenths of a mCi to 100 mCI for point sources and from 1 to 200 pCi/g for volume sources.

  13. Standardized Technical Data Survey (STDS) for Aerial Refueling

    Science.gov (United States)

    2016-09-06

    GRANT NUMBER N/A 5c. PROGRAM ELEMENT NUMBER N/A 6. AUTHOR(S) Olverson, Gregory; ARSAG Workshop/JSB Working Group Participants; Swiderek, Tom; Burket...WORK UNIT NUMBER N/A 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Aerial Refueling Systems Advisory Group (ARSAG) Dexter Kalt, Executive...aerial refueling altitude/airspeed capabilities, hardware mating interfaces, structural load, fuel line pressure capabilities, pressure regulation

  14. Digital Oblique Aerial Cameras (1): A Survey of Features and Systems

    NARCIS (Netherlands)

    Lemmens, M.J.P.M.

    2014-01-01

    It has become customary for me to provide a survey article on digital aerial cameras in the April issue of GIM International every three years. The previous survey (April 2011; vol. 25:4) addressed small, medium and large-format cameras, while in April 2008 (vol. 22:4) the focus was on sensor archit

  15. An aerial radiological survey of the project Rio Blanco and surrounding area

    Energy Technology Data Exchange (ETDEWEB)

    Singman, L.V.

    1994-11-01

    A team from the Remote Sensing Laboratory in Las Vegas, Nevada, conducted an aerial radiation survey of the area surrounding ground zero of Project Rio Blanco in the northwestern section of Colorado in June 1993. The object of the survey was to determine if there were man-made radioisotopes on or near the surface resulting from a nuclear explosion in 1972. No indications of surface contamination were found. A search for the cesium-137 radioisotope was negative. The Minimum Detectable Activity for cesium-137 is presented for several detection probabilities. The natural terrestrial exposure rates in units of Roentgens per hour were mapped and are presented in the form of a contour map over-laid on an aerial photograph. A second team made independent ground-based measurements in four places within the survey area. The average agreement of the ground-based with aerial measurements was six percent.

  16. Reducing Magnetic Noise of an Unmanned Aerial Vehicle for High-Quality Magnetic Surveys

    Directory of Open Access Journals (Sweden)

    Boris Sterligov

    2016-01-01

    Full Text Available The use of light and ultralight unmanned aerial vehicles (UAVs for magnetic data acquisition can be efficient for resolving multiple geological and engineering tasks including geological mapping, ore deposits’ prospecting, and pipelines’ monitoring. The accuracy of the aeromagnetic data acquired using UAV depends mainly on deviation noise of electric devices (engine, servos, etc.. The goal of this research is to develop a nonmagnetic unmanned aerial platform (NUAP for high-quality magnetic surveys. Considering parameters of regional and local magnetic survey, a fixed-wing UAV suits geological tasks better for plain area and copter type for hills and mountains. Analysis of the experimental magnetic anomalies produced by a serial light fixed-wing UAV and subsequent magnetic and aerodynamic modeling demonstrates a capacity of NUAP with internal combustion engine carrying an atomic magnetic sensor mounted on the UAV wings to facilitate a high-quality magnetic survey.

  17. Unmanned aerial vehicles (UAVs for surveying marine fauna: a dugong case study.

    Directory of Open Access Journals (Sweden)

    Amanda Hodgson

    Full Text Available Aerial surveys of marine mammals are routinely conducted to assess and monitor species' habitat use and population status. In Australia, dugongs (Dugong dugon are regularly surveyed and long-term datasets have formed the basis for defining habitat of high conservation value and risk assessments of human impacts. Unmanned aerial vehicles (UAVs may facilitate more accurate, human-risk free, and cheaper aerial surveys. We undertook the first Australian UAV survey trial in Shark Bay, western Australia. We conducted seven flights of the ScanEagle UAV, mounted with a digital SLR camera payload. During each flight, ten transects covering a 1.3 km(2 area frequently used by dugongs, were flown at 500, 750 and 1000 ft. Image (photograph capture was controlled via the Ground Control Station and the capture rate was scheduled to achieve a prescribed 10% overlap between images along transect lines. Images were manually reviewed post hoc for animals and scored according to sun glitter, Beaufort Sea state and turbidity. We captured 6243 images, 627 containing dugongs. We also identified whales, dolphins, turtles and a range of other fauna. Of all possible dugong sightings, 95% (CI = 90%, 98% were subjectively classed as 'certain' (unmistakably dugongs. Neither our dugong sighting rate, nor our ability to identify dugongs with certainty, were affected by UAV altitude. Turbidity was the only environmental variable significantly affecting the dugong sighting rate. Our results suggest that UAV systems may not be limited by sea state conditions in the same manner as sightings from manned surveys. The overlap between images proved valuable for detecting animals that were masked by sun glitter in the corners of images, and identifying animals initially captured at awkward body angles. This initial trial of a basic camera system has successfully demonstrated that the ScanEagle UAV has great potential as a tool for marine mammal aerial surveys.

  18. Unmanned aerial vehicles (UAVs) for surveying marine fauna: a dugong case study.

    Science.gov (United States)

    Hodgson, Amanda; Kelly, Natalie; Peel, David

    2013-01-01

    Aerial surveys of marine mammals are routinely conducted to assess and monitor species' habitat use and population status. In Australia, dugongs (Dugong dugon) are regularly surveyed and long-term datasets have formed the basis for defining habitat of high conservation value and risk assessments of human impacts. Unmanned aerial vehicles (UAVs) may facilitate more accurate, human-risk free, and cheaper aerial surveys. We undertook the first Australian UAV survey trial in Shark Bay, western Australia. We conducted seven flights of the ScanEagle UAV, mounted with a digital SLR camera payload. During each flight, ten transects covering a 1.3 km(2) area frequently used by dugongs, were flown at 500, 750 and 1000 ft. Image (photograph) capture was controlled via the Ground Control Station and the capture rate was scheduled to achieve a prescribed 10% overlap between images along transect lines. Images were manually reviewed post hoc for animals and scored according to sun glitter, Beaufort Sea state and turbidity. We captured 6243 images, 627 containing dugongs. We also identified whales, dolphins, turtles and a range of other fauna. Of all possible dugong sightings, 95% (CI = 90%, 98%) were subjectively classed as 'certain' (unmistakably dugongs). Neither our dugong sighting rate, nor our ability to identify dugongs with certainty, were affected by UAV altitude. Turbidity was the only environmental variable significantly affecting the dugong sighting rate. Our results suggest that UAV systems may not be limited by sea state conditions in the same manner as sightings from manned surveys. The overlap between images proved valuable for detecting animals that were masked by sun glitter in the corners of images, and identifying animals initially captured at awkward body angles. This initial trial of a basic camera system has successfully demonstrated that the ScanEagle UAV has great potential as a tool for marine mammal aerial surveys.

  19. Unmanned aerial survey of fallen trees in a deciduous broadleaved forest in eastern Japan.

    Science.gov (United States)

    Inoue, Tomoharu; Nagai, Shin; Yamashita, Satoshi; Fadaei, Hadi; Ishii, Reiichiro; Okabe, Kimiko; Taki, Hisatomo; Honda, Yoshiaki; Kajiwara, Koji; Suzuki, Rikie

    2014-01-01

    Since fallen trees are a key factor in biodiversity and biogeochemical cycling, information about their spatial distribution is of use in determining species distribution and nutrient and carbon cycling in forest ecosystems. Ground-based surveys are both time consuming and labour intensive. Remote-sensing technology can reduce these costs. Here, we used high-spatial-resolution aerial photographs (0.5-1.0 cm per pixel) taken from an unmanned aerial vehicle (UAV) to survey fallen trees in a deciduous broadleaved forest in eastern Japan. In nine sub-plots we found a total of 44 fallen trees by ground survey. From the aerial photographs, we identified 80% to 90% of fallen trees that were >30 cm in diameter or >10 m in length, but missed many that were narrower or shorter. This failure may be due to the similarity of fallen trees to trunks and branches of standing trees or masking by standing trees. Views of the same point from different angles may improve the detection rate because they would provide more opportunity to detect fallen trees hidden by standing trees. Our results suggest that UAV surveys will make it possible to monitor the spatial and temporal variations in forest structure and function at lower cost.

  20. Aerial surveys of bowhead and beluga whales along with incidental sighting of other marine mammals in the Bering, Beaufort and Chukchi Seas for the Bowhead Whale Aerial Survey Project (BWASP), 1979 - 2004 (NODC Accession 0001941)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a...

  1. Uav Aerial Survey: Accuracy Estimation for Automatically Generated Dense Digital Surface Model and Orthothoto Plan

    Science.gov (United States)

    Altyntsev, M. A.; Arbuzov, S. A.; Popov, R. A.; Tsoi, G. V.; Gromov, M. O.

    2016-06-01

    A dense digital surface model is one of the products generated by using UAV aerial survey data. Today more and more specialized software are supplied with modules for generating such kind of models. The procedure for dense digital model generation can be completely or partly automated. Due to the lack of reliable criterion of accuracy estimation it is rather complicated to judge the generation validity of such models. One of such criterion can be mobile laser scanning data as a source for the detailed accuracy estimation of the dense digital surface model generation. These data may be also used to estimate the accuracy of digital orthophoto plans created by using UAV aerial survey data. The results of accuracy estimation for both kinds of products are presented in the paper.

  2. Profiles of gamma-ray and magnetic data from aerial surveys over the conterminous United States

    Science.gov (United States)

    Duval, Joseph S.; Riggle, Frederic E.

    1999-01-01

    This publication contains images for the conterminous U.S. generated from geophysical data, software for displaying and analyzing the images, and software for displaying and examining the profile data from the aerial surveys flown as part of the National Uranium Resource Evaluation (NURE) Program of the U.S. Department of Energy. The images included are of gamma-ray data (uranium, thorium, and potassium channels), Bouguer gravity data, isostatic residual gravity data, aeromagnetic anomalies, topography, and topography with bathymetry.

  3. Aerial survey of sea otters and other marine mammals Alaska Peninsula and Aleutian Islands, 19 April to 9 May 1965

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — An aerial survey, 19 April to 9 May 1965 yielded information on marine animals and birds in the Aleutian Islands and limited areas along the Alaska Peninsula. In...

  4. Development of an aerial breeding pair survey for geese nesting in the coastal zone of the Yukon Delta: Progress report

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Aerial surveys of nesting cackling Canada geese (Branta canadensis minima), emperor geese (Anser canagicus), greater white-fronted geese (Anser albifrons), and...

  5. AFSC/NMML: North Pacific right whale aerial surveys in the southeastern Bering Sea, 2008-2009.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — As part of an inter-agency agreement between the National Marine Mammal Laboratory and the Bureau of Ocean Energy Management, aerial surveys of the North Aleutian...

  6. Development of an aerial breeding pair survey for geese nesting in the coastal zone of the Yukon delta

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Aerial surveys of nesting cackling Canada geese (Branta canadensis minima), emperor geese (Anser canagicus), greater white-fronted geese (Anser albifrons), and...

  7. Aerial radiometric and magnetic survey: Millett National Topographic Map, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    1979-01-01

    The results of analyses of the airborne gamma radiation and total magnetic field survey flown for the region identified as the Millett National Topographic Map NJ11-2 are presented. The airborne data gathered are reduced by ground computer facilities to yield profile plots of the basic uranium, thorium and potassium equivalent gamma radiation intensities, ratios of these intensities, aircraft altitude above the earth's surface, total gamma ray and earth's magnetic field intensity, correlated as a function of geologic units. The distribution of data within each geologic unit, for all surveyed map lines and tie lines, has been calculated and is included. Two sets profiled data for each line are included, with one set displaying the above-cited data. The second set includes only flight line magnetic field, temperature, pressure, altitude data plus magnetic field data as measured at a base station. A general description of the area, including descriptions of the various geologic units and the corresponding airborne data, is included.

  8. Low-altitude aerial color digital photographic survey of the San Andreas Fault

    Science.gov (United States)

    Lynch, David K.; Hudnut, Kenneth W.; Dearborn, David S.P.

    2010-01-01

    Ever since 1858, when Gaspard-Félix Tournachon (pen name Félix Nadar) took the first aerial photograph (Professional Aerial Photographers Association 2009), the scientific value and popular appeal of such pictures have been widely recognized. Indeed, Nadar patented the idea of using aerial photographs in mapmaking and surveying. Since then, aerial imagery has flourished, eventually making the leap to space and to wavelengths outside the visible range. Yet until recently, the availability of such surveys has been limited to technical organizations with significant resources. Geolocation required extensive time and equipment, and distribution was costly and slow. While these situations still plague older surveys, modern digital photography and lidar systems acquire well-calibrated and easily shared imagery, although expensive, platform-specific software is sometimes still needed to manage and analyze the data. With current consumer-level electronics (cameras and computers) and broadband internet access, acquisition and distribution of large imaging data sets are now possible for virtually anyone. In this paper we demonstrate a simple, low-cost means of obtaining useful aerial imagery by reporting two new, high-resolution, low-cost, color digital photographic surveys of selected portions of the San Andreas fault in California. All pictures are in standard jpeg format. The first set of imagery covers a 92-km-long section of the fault in Kern and San Luis Obispo counties and includes the entire Carrizo Plain. The second covers the region from Lake of the Woods to Cajon Pass in Kern, Los Angeles, and San Bernardino counties (151 km) and includes Lone Pine Canyon soon after the ground was largely denuded by the Sheep Fire of October 2009. The first survey produced a total of 1,454 oblique digital photographs (4,288 x 2,848 pixels, average 6 Mb each) and the second produced 3,762 nadir images from an elevation of approximately 150 m above ground level (AGL) on the

  9. Aerial Surveying Uav Based on Open-Source Hardware and Software

    Science.gov (United States)

    Mészáros, J.

    2011-09-01

    In the last years the functionality and type of UAV-systems increased fast, but unfortunately these systems are hardly available for researchers in some cases. A simple and low-cost solution was developed to build an autonomous aerial surveying airplane, which can fulfil the necessities (aerial photographs with very-high resolution) of other departments at the university and very useful and practical for teaching photogrammetry.. The base was a commercial, remote controlled model airplane and an open-source GPS/IMU system (MatrixPilot) was adapted to achieve the semi-automatic or automatic stabilization and navigation of the model airplane along predefined trajectory. The firmware is completely open-source and easily available on the website of the project. The first used camera system was a low-budget, low-quality video camera, which could provide only 1.2 megapixel photographs or low resolution video depending on the light conditions and the desired spatial resolution. A field measurement test was carried out with the described system: the aerial surveying of an undiscovered archaeological site, signed by a crop-mark in mountain Pilis (Hungary).

  10. AERIAL SURVEYING UAV BASED ON OPEN-SOURCE HARDWARE AND SOFTWARE

    Directory of Open Access Journals (Sweden)

    J. Mészáros

    2012-09-01

    Full Text Available In the last years the functionality and type of UAV-systems increased fast, but unfortunately these systems are hardly available for researchers in some cases. A simple and low-cost solution was developed to build an autonomous aerial surveying airplane, which can fulfil the necessities (aerial photographs with very-high resolution of other departments at the university and very useful and practical for teaching photogrammetry.. The base was a commercial, remote controlled model airplane and an open-source GPS/IMU system (MatrixPilot was adapted to achieve the semi-automatic or automatic stabilization and navigation of the model airplane along predefined trajectory. The firmware is completely open-source and easily available on the website of the project. The first used camera system was a low-budget, low-quality video camera, which could provide only 1.2 megapixel photographs or low resolution video depending on the light conditions and the desired spatial resolution. A field measurement test was carried out with the described system: the aerial surveying of an undiscovered archaeological site, signed by a crop-mark in mountain Pilis (Hungary.

  11. SURVEYING A LANDSLIDE IN A ROAD EMBANKMENT USING UNMANNED AERIAL VEHICLE PHOTOGRAMMETRY

    Directory of Open Access Journals (Sweden)

    F. Carvajal

    2012-09-01

    Full Text Available Most of the works of civil engineering, and some others applications, need to be designed using a basic cartography with a suitable scale to the accuracy and extension of the plot.The Unmanned Aerial Vehicle (UAV Photogrammetry covers the gap between classical manned aerial photogrammetry and hand- made surveying techniques because it works in the close-range domain, combining aerial and terrestrial photogrammetry, but also introduces low-cost alternatives. The aim of this work is developing of an accurate and low-cost method to characterize landslides located on the size of a road. It was applied at the kilometric point 339 belonging to the A92 dual carriageway, in the Abla municipal term, province of Almeria, Spain. A photogrammetric project was carried out from a set of images taken from an md4-200 Microdrones with an on-board calibrated camera 12 Megapixels Pentax Optio A40. The flight was previously planned to cover the whole extension of the embankment with three passes composed of 18 photos each one. All the images were taken with the vertical axe and it was registered 85% and 60% longitudinal and transversal overlaps respectively. The accuracy of the products, with planimetric and altimetric errors of 0.049 and 0.108m repectively, lets to take measurements of the landslide and projecting preventive and palliative actuations.

  12. Aerial Magnetic, Electromagnetic, and Gamma-ray Survey, Berrien County, Michigan

    Science.gov (United States)

    Duval, Joseph S.; Pierce, Herbert A.; Daniels, David L.; Mars, John L.; Webring, Michael W.; Hildenbrand, Thomas G.

    2002-01-01

    This publication includes maps, grids, and flightline databases of a detailed aerial survey and maps and grids of satellite data in Berrien County, Michigan. The purpose of the survey was to map aquifers in glacial terrains. This was accomplished by using a DIGHEMVRES mufti-coil, mufti-frequency electromagnetic system supplemented by a high sensitivity cesium magnetometer and 256-channel spectrometer. The information from these sensors was processed to produce maps, which display the conductive, magnetic and radioactive properties of the survey area. A GPS electronic navigation system ensured accurate positioning of the geophysical data. This report also includes data from the advanced spaceborne thermal emission and reflection (ASTER) radiometer. ASTER measures thermal emission and reflection data for 14 bands of the spectrum.

  13. A double-observer method to estimate detection rate during aerial waterfowl surveys

    Science.gov (United States)

    Koneff, M.D.; Royle, J. Andrew; Otto, M.C.; Wortham, J.S.; Bidwell, J.K.

    2008-01-01

    We evaluated double-observer methods for aerial surveys as a means to adjust counts of waterfowl for incomplete detection. We conducted our study in eastern Canada and the northeast United States utilizing 3 aerial-survey crews flying 3 different types of fixed-wing aircraft. We reconciled counts of front- and rear-seat observers immediately following an observation by the rear-seat observer (i.e., on-the-fly reconciliation). We evaluated 6 a priori models containing a combination of several factors thought to influence detection probability including observer, seat position, aircraft type, and group size. We analyzed data for American black ducks (Anas rubripes) and mallards (A. platyrhynchos), which are among the most abundant duck species in this region. The best-supported model for both black ducks and mallards included observer effects. Sample sizes of black ducks were sufficient to estimate observer-specific detection rates for each crew. Estimated detection rates for black ducks were 0.62 (SE = 0.10), 0.63 (SE = 0.06), and 0.74 (SE = 0.07) for pilot-observers, 0.61 (SE = 0.08), 0.62 (SE = 0.06), and 0.81 (SE = 0.07) for other front-seat observers, and 0.43 (SE = 0.05), 0.58 (SE = 0.06), and 0.73 (SE = 0.04) for rear-seat observers. For mallards, sample sizes were adequate to generate stable maximum-likelihood estimates of observer-specific detection rates for only one aerial crew. Estimated observer-specific detection rates for that crew were 0.84 (SE = 0.04) for the pilot-observer, 0.74 (SE = 0.05) for the other front-seat observer, and 0.47 (SE = 0.03) for the rear-seat observer. Estimated observer detection rates were confounded by the position of the seat occupied by an observer, because observers did not switch seats, and by land-cover because vegetation and landform varied among crew areas. Double-observer methods with on-the-fly reconciliation, although not without challenges, offer one viable option to account for detection bias in aerial waterfowl

  14. Unmanned Aerial Vehicles (UAVs) for surveying marine fauna: assessing detection probability.

    Science.gov (United States)

    Hodgson, Amanda; Peel, David; Kelly, Natalie

    2017-02-08

    Aerial surveys are conducted for various fauna to assess abundance, distribution, and habitat use over large spatial scales. They are traditionally conducted using light-aircraft with observers recording sightings in real time. Unmanned Aerial Vehicles (UAVs) offer an alternative with many potential advantages, including eliminating human-risk. To be effective, this emerging platform needs to provide detection rates of animals comparable to traditional methods. UAVs can also acquire new types of information, and this new data requires a re-evaluation of traditional analyses used in aerial surveys; including estimating the probability of detecting animals. We conducted 17 replicate UAV surveys of humpback whales (Megaptera novaeangliae) while simultaneously obtaining a 'census' of the population from land-based observations, to assess UAV detection probability. The ScanEagle UAV, carrying a digital SLR camera, continuously captured images (with 75% overlap) along transects covering the visual range of land-based observers. We also used ScanEagle to conduct focal follows of whale pods (n = 12, mean duration = 40 min), to assess a new method of estimating availability. A comparison of the whale detections from the UAV to the land-based census provided an estimated UAV detection probability of 0.33 (CV = 0.25) (incorporating both availability and perception biases), which was not affected by environmental covariates (Beaufort sea state, glare and cloud cover). According to our focal follows, the mean availability was 0.63 (CV = 0.37), with pods including mother/calf pairs having a higher availability (0.86, CV = 0.20) than those without (0.59, CV = 0.38). The follows also revealed (and provided a potential correction for) a downward bias in group size estimates from the UAV surveys, which resulted from asynchronous diving within whale pods, and a relatively short observation window of 9 s. We have shown that UAVs are an effective alternative to traditional methods

  15. An aerial radiological survey of the Fort Calhoun Nuclear Power Plant and surrounding area, Fort Calhoun, Nebraska

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-01

    An aerial radiological survey was conducted over the Fort Calhoun Nuclear Power Plant in Fort Calhoun, Nebraska, during the period June 19 through June 28, 1993. The survey was conducted at an altitude of 150 feet (46 meters) over a 25-square-mile (65-square-kilometer) area centered on the power station. The purpose of the survey was to document the terrestrial gamma radiation environment of the Fort Calhoun Nuclear Power Plant and surrounding area. The results of the aerial survey are reported as inferred gamma radiation exposure rates at 1 meter above ground level in the form of a contour map. Outside the plant boundary, exposure rates were found to vary between 6 and 12 microroentgens per hour and were attributed to naturally-occurring uranium, thorium, and potassium. The aerial data were compared to ground-based benchmark exposure rate measurements and radionuclide assays of soil samples obtained within the survey boundary. The ground-based measurements were found to be in good agreement with those inferred from the aerial measuring system. A previous survey was conducted on August 9 and 10, 1972, before the plant began operation. Exposure rates measured in both surveys were consistent with normal terrestrial background.

  16. Aerial surveys of landslide bodies through light UAVs: peculiarities and advantages

    Science.gov (United States)

    Spilotro, Giuseppe; Pellicani, Roberta; Leandro, Gianfranco; Marzo, Cosimo; Manzari, Paola; Belmonte, Antonella

    2015-04-01

    The use of UAV in civil applications and particularly for aerial surveillance or surveying is rapidly expanding for several reasons. The first reason is undoubtedly the lowering of the costs of the machines, accompanied by high technology for their positioning and control. The results are high performances and ease of driving. Authors have surveyed some big landslides by drones, with excellent results, which can retail for this technique a specific role, not in conflict with classical airborne aerial surveys, such as LIDAR and others. Obviously the first difference is in the amount of payload, over 100 Kg for classical airborne apparatus, but 1000 times lower in the case of the drones. Nevertheless the advantages of the use of drones and of their products can be synthesized as follows: -Start from the site, without the need of transfers, flight plans and long time weather forecasts; -Imagery product georeferenced and immediately exportable to GIS -Inspection of areas not easily accessible (impervious areas, high layers of mud, crossing of rivers, etc) or unreachable in safety conditions; -Inspection of specific points, relevant for the interpretation of the type and intensity of movement. -The pilot and the landslide specialist define route and compare images in real time -Possibility of flying at very low altitude and hovering. For the geomorphological interpretation of the big landslide of Montescaglioso (Mt, Italy) has been used a 1.5 m EPP (Expanded polipropilene) fixed wing, driven by 3DR Open Source Autopilot, equipped with a 16 Mp compact camera CANON A2300. Very useful revealed the image of the toe of the landslide, critical point for the interpretation of the mechanics of the whole landslide. Results have been of excellent quality and allowed authors to an early correct analysis Other landslides have been explored with a commercial drone (Phantom Vision 2 Dji), the use of which has proved likewise invaluable for returning images of areas not otherwise

  17. Aerial Survey as a Tool to Estimate Abundance and Describe Distribution of a Carcharhinid Species, the Lemon Shark, Negaprion brevirostris

    Directory of Open Access Journals (Sweden)

    S. T. Kessel

    2013-01-01

    Full Text Available Aerial survey provides an important tool to assess the abundance of both terrestrial and marine vertebrates. To date, limited work has tested the effectiveness of this technique to estimate the abundance of smaller shark species. In Bimini, Bahamas, the lemon shark (Negaprion brevirostris shows high site fidelity to a shallow sandy lagoon, providing an ideal test species to determine the effectiveness of localised aerial survey techniques for a Carcharhinid species in shallow subtropical waters. Between September 2007 and September 2008, visual surveys were conducted from light aircraft following defined transects ranging in length between 8.8 and 4.4 km. Count results were corrected for “availability”, “perception”, and “survey intensity” to provide unbiased abundance estimates. The abundance of lemon sharks was greatest in the central area of the lagoon during high tide, with a change in abundance distribution to the east and western regions of the lagoon with low tide. Mean abundance of sharks was estimated at 49 (±8.6 individuals, and monthly abundance was significantly positively correlated with mean water temperature. The successful implementation of the aerial survey technique highlighted the potential of further employment for shark abundance assessments in shallow coastal marine environments.

  18. An aerial radiological survey of Project Gasbuggy and surrounding area, Rio Arriba County, New Mexico. Date of survey: October 27, 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-08-01

    An aerial radiological survey was conducted over the Project Gasbuggy site, 55 miles (89 kilometers) east of Farmington, New Mexico, on October 27, 1994. Parallel lines were flown at intervals of 300 feet (91 meters) over a 16-square-mile (41-square-kilometer) area at a 150-foot (46-meter) altitude centered on the Gasbuggy site. The gamma energy spectra obtained were reduced to an exposure rate contour map overlaid on a high altitude aerial photograph of the area. The terrestrial exposure rate varied from 14 to 20 {micro}R/h at 1 meter above ground level. No anomalous or man-made isotopes were found.

  19. Aerial ungulate surveys with a combination of infrared and high–resolution natural colour images

    Directory of Open Access Journals (Sweden)

    Franke, U.

    2012-01-01

    Full Text Available Information on animal population sizes is crucial for wildlife management. In aerial surveys, we used a silent light aircraft (microlight and a combination of a computer–linked thermal infrared camera (640 x 480 pixels to detect ungulates and high–resolution visual images (5,616 x 3,744 pixels to identify specific species. From winter 2008/2009 to winter 2010/2011, we flew 48 missions over three German national parks and a German/ French biosphere reserve. Within each study area, we followed non–overlapping linear transects with a flying altitude ~450 m above ground level and scanned 1,500–2,000 ha every two hours of flight time. Animals best detected and identified were red deer and fallow deer. Detection rates with respect to the type and density of vegetation cover ranged from 0% (young spruce to 75% (young defoliated beech to 100% (open land. This non–invasive method is cost–effective and suitable for many landscapes.

  20. 2011 Aerial survey of distribution and abundance of western Pacific leatherback turtles (Dermochelys coriacea) in coastal waters of Oregon and Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial surveys were conducted during 10 - 29 September 2011 to determine distribution and abundance of endangered leatherback turtles (Dermochelys coriacea) in...

  1. Bowhead whale aerial abundance survey conducted by Alaska Fisheries Science Center, National Marine Mammal Laboratory from 2011-04-19 to 2011-06-11 (NCEI Accession 0133937)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographic surveys for bowhead whales were conducted near Point Barrow, Alaska, from 19 April to 6 June in 2011. Approximately 4,594 photographs containing...

  2. Periodic bowhead whale aerial surveys by the USDI/Minerals Management Service in the Bering, Chukchi and Beaufort Seas, April 1979 - October 2001 (NODC Accession 0001139)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a...

  3. A Possibility of the Aeromagnetic Survey by a Small Unmanned Aerial Vehicles, Ant-Plane

    Science.gov (United States)

    Funaki, M.

    2004-12-01

    Magnetic surveys by helicopters and airplanes are a useful technique to estimate the geological structure under the ice sheets in Antarctica. However, it is not easy to employ this due to the transportation of the planes, logistic supports, security, and financial problems. Members of Ant-Plane Project have investigated the unmanned aerial vehicles (UAV, Ant-Plane) for the solution of the problems. Recently the aeromagnetic survey is verified by a model airplane navigated by GPS and a magneto-resistant (MR) magnetometer. The airplane (Ant-Plane) consists of 2m wing length, 2-cycles and 2-cylinder 85cc gasoline engine, GPS navigation system by microcomputer and radio telemeter system. The total weight is 15kg including 2 litter fuels, the MR magnetometer, a video camera and an emergency parachute. The speed is 130 km/h and maximum height is 2000m. The magnetometer system consists of a 3- component MR magnetometer, GPS and data logger. Three components of magnetic field, latitude, longitude, altitude, number of satellite and time are recorded in every second during 3 hours. The sensitivity of the magnetometer is 7 nT and we use a total magnetic field intensity for magnetic analysis due to unknown heading of the plane. November 2003 we succeeded the magnetic survey by the Ant-Plane at the slope of Sakurajima Volcano, Kyushu, Japan. The plane rotated 9 times along the programmed route of about 4x1 km, total flight distance of 80 km, keeping the altitude of 700 m. Consequently we obtained almost similar field variation on the route. The maximum deviation of each course was less than 100 m. Therefore, we concluded that the aeromagnetic survey in the relatively large anomaly areas can be performed by Ant-Plane with the MR magnetometer system. Finally the plane flew up 1400m with a video camera to take the photo of active volcano Sakurajima (1117m). It succeeded to take photos of craters through steam from the volcano.

  4. Monitoring winter and summer abundance of cetaceans in the Pelagos Sanctuary (northwestern Mediterranean Sea through aerial surveys.

    Directory of Open Access Journals (Sweden)

    Simone Panigada

    Full Text Available Systematic long-term monitoring of abundance is essential to inform conservation measures and evaluate their effectiveness. To instigate such work in the Pelagos Sanctuary in the Mediterranean, two aerial surveys were conducted in winter and summer 2009. A total of 467 (131 in winter, 336 in summer sightings of 7 species was made. Sample sizes were sufficient to estimate abundance of fin whales in summer (148; 95% CI = 87-254 and striped dolphins in winter (19,462; 95% CI = 12 939-29 273 and in summer (38 488; 95% CI = 27 447-53 968. Numbers of animals within the Sanctuary are significantly higher in summer, when human activities and thus potential population level impacts are highest. Comparisons with data from past shipboard surveys suggest an appreciable decrease in fin whales within the Sanctuary area and an appreciable increase in striped dolphins. Aerial surveys proved to be more efficient than ship surveys, allowing more robust estimates, with smaller CIs and CVs. These results provide essential baseline data for this marine protected area and continued regular surveys will allow the effectiveness of the MPA in terms of cetacean conservation to be evaluated and inform future management measures. The collected data may also be crucial in assessing whether ship strikes, one of the main causes of death for fin whales in the Mediterranean, are affecting the Mediterranean population.

  5. AFSC/NMML: Beluga whale aerial survey in Cook Inlet, Alaska, 1993-2014

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Marine Fisheries Service (NMFS) has conducted aerial counts of Cook Inlet beluga whales (Delphinapterus leucas) from 1993 to 2014 (excluding 2013)....

  6. AFSC/NMML: Bowhead whale aerial surveys and photography near Barrow, Alaska, from 1979-1992

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Bowhead whales were documented during their spring migration most years from 1979 to 1992 by biologists from NMML. This documentation consisted of flying aerial...

  7. Seasonal distribution and aerial surveys of mountain goats in Mount Rainier, North Cascades, and Olympic National Parks, Washington

    Science.gov (United States)

    Jenkins, Kurt; Beirne, Katherine; Happe, Patricia; Hoffman, Roger; Rice, Cliff; Schaberl, Jim

    2011-01-01

    We described the seasonal distribution of Geographic Positioning System (GPS)-collared mountain goats (Oreamnos americanus) in Mount Rainier, North Cascades, and Olympic National Parks to evaluate aerial survey sampling designs and provide general information for park managers. This work complemented a companion study published elsewhere of aerial detection biases of mountain goat surveys in western Washington. Specific objectives reported here were to determine seasonal and altitudinal movements, home range distributions, and temporal dynamics of mountain goat movements in and out of aerial survey sampling frames established within each park. We captured 25 mountain goats in Mount Rainier (9), North Cascades (5), and Olympic (11) National Parks, and fitted them with GPS-collars programmed to obtain 6-8 locations daily. We obtained location data on 23 mountain goats for a range of 39-751 days from 2003 to 2008. Altitudinal distributions of GPS-collared mountain goats varied individually and seasonally, but median altitudes used by individual goats during winter ranged from 817 to 1,541 meters in Olympic and North Cascades National Parks, and 1,215 to 1,787 meters in Mount Rainier National Park. Median altitudes used by GPS-collared goats during summer ranged from 1,312 to 1,819 meters in Olympic and North Cascades National Parks, and 1,780 to 2,061 meters in Mount Rainier National Park. GPS-collared mountain goats generally moved from low-altitude winter ranges to high-altitude summer ranges between June 11 and June 19 (range April 24-July 3) and from summer to winter ranges between October 26 and November 9 (range September 11-December 23). Seasonal home ranges (95 percent of adaptive kernel utilization distribution) of males and female mountain goats were highly variable, ranging from 1.6 to 37.0 kilometers during summers and 0.7 to 9.5 kilometers during winters. Locations of GPS-collared mountain goats were almost 100 percent within the sampling frame used for

  8. Computing the Deflection of the Vertical for Improving Aerial Surveys: A Comparison between EGM2008 and ITALGEO05 Estimates

    Directory of Open Access Journals (Sweden)

    Riccardo Barzaghi

    2016-07-01

    Full Text Available Recent studies on the influence of the anomalous gravity field in GNSS/INS applications have shown that neglecting the impact of the deflection of vertical in aerial surveys induces horizontal and vertical errors in the measurement of an object that is part of the observed scene; these errors can vary from a few tens of centimetres to over one meter. The works reported in the literature refer to vertical deflection values based on global geopotential model estimates. In this paper we compared this approach with the one based on local gravity data and collocation methods. In particular, denoted by ξ and η, the two mutually-perpendicular components of the deflection of the vertical vector (in the north and east directions, respectively, their values were computed by collocation in the framework of the Remove-Compute-Restore technique, applied to the gravity database used for estimating the ITALGEO05 geoid. Following this approach, these values have been computed at different altitudes that are relevant in aerial surveys. The (ξ, η values were then also estimated using the high degree EGM2008 global geopotential model and compared with those obtained in the previous computation. The analysis of the differences between the two estimates has shown that the (ξ, η global geopotential model estimate can be reliably used in aerial navigation applications that require the use of sensors connected to a GNSS/INS system only above a given height (e.g., 3000 m in this paper that must be defined by simulations.

  9. Computing the Deflection of the Vertical for Improving Aerial Surveys: A Comparison between EGM2008 and ITALGEO05 Estimates

    Science.gov (United States)

    Barzaghi, Riccardo; Carrion, Daniela; Pepe, Massimiliano; Prezioso, Giuseppina

    2016-01-01

    Recent studies on the influence of the anomalous gravity field in GNSS/INS applications have shown that neglecting the impact of the deflection of vertical in aerial surveys induces horizontal and vertical errors in the measurement of an object that is part of the observed scene; these errors can vary from a few tens of centimetres to over one meter. The works reported in the literature refer to vertical deflection values based on global geopotential model estimates. In this paper we compared this approach with the one based on local gravity data and collocation methods. In particular, denoted by ξ and η, the two mutually-perpendicular components of the deflection of the vertical vector (in the north and east directions, respectively), their values were computed by collocation in the framework of the Remove-Compute-Restore technique, applied to the gravity database used for estimating the ITALGEO05 geoid. Following this approach, these values have been computed at different altitudes that are relevant in aerial surveys. The (ξ, η) values were then also estimated using the high degree EGM2008 global geopotential model and compared with those obtained in the previous computation. The analysis of the differences between the two estimates has shown that the (ξ, η) global geopotential model estimate can be reliably used in aerial navigation applications that require the use of sensors connected to a GNSS/INS system only above a given height (e.g., 3000 m in this paper) that must be defined by simulations. PMID:27472333

  10. Changing distributions of larger ungulates in the Kruger National Park from ecological aerial survey data

    Directory of Open Access Journals (Sweden)

    George J. Chirima

    2012-07-01

    Full Text Available Documenting current species distribution patterns and their association with habitat types is important as a basis for assessing future range shifts in response to climate change or other influences. We used the adaptive local convex hull (a-LoCoH method to map distribution ranges of 12 ungulate species within the Kruger National Park (KNP based on locations recorded during aerial surveys (1980–1993. We used log-linear models to identify changes in regional distribution patterns and chi-square tests to determine shifts in habitat occupation over this period. We compared observed patterns with earlier, more subjectively derived distribution maps for these species. Zebra, wildebeest and giraffe distributions shifted towards the far northern section of the KNP, whilst buffalo and kudu showed proportional declines in the north. Sable antelope distribution contracted most in the north, whilst tsessebe, eland and roan antelope distributions showed no shifts. Warthog and waterbuck contracted in the central and northern regions, respectively. The distribution of impala did not change. Compared with earlier distributions, impala, zebra, buffalo, warthog and waterbuck had become less strongly concentrated along rivers. Wildebeest, zebra, sable antelope and tsessebe had become less prevalent in localities west of the central region. Concerning habitat occupation, the majority of grazers showed a concentration on basaltic substrates, whilst sable antelope favoured mopane-dominated woodland and sour bushveld on granite. Buffalo showed no strong preference for any habitats and waterbuck were concentrated along rivers. Although widespread, impala were absent from sections of mopane shrubveld and sandveld. Kudu and giraffe were widespread through most habitats, but with a lesser prevalence in northern mopane-dominated habitats. Documented distribution shifts appeared to be related to the completion of the western boundary fence and widened provision of

  11. Aerial line transect survey to estimate abundance of marsh deer (Blastocerus dichotomus (Illiger, 1815

    Directory of Open Access Journals (Sweden)

    Artur Andriolo

    2005-09-01

    Full Text Available The objective was to estimate abundance of marsh deer in the Paraná River basin of this work. The results provided information to support further analysis of the impact of the Porto Primavera flooding lake over population. Sixty-nine animals were recorded by aerial survey using distance sampling methodology. Animals were widely distributed throughout the study area. The uncorrected data resulted in a estimate density of 0.0035 ind/ha and a population size of 636 individuals. Correcting the g for the animals that could be missed the calculated abundance was 896 (CV=0.27 individuals. This methodology was applied with success to survey marsh deer. The result was important to evaluate the marsh deer status in the area, and for future analysis of the impact of the flooding dam.A população de cervo-do-pantanal (Blastocerus dichotomus está drasticamente reduzida no Brasil. O nosso objetivo foi o de estimar a abundância do cervo-do-pantanal na bacia do Rio Paraná e discutir a metodologia aplicada. Os resultados darão suporte para uma análise do impacto do enchimento da represa de Porto Primavera sobre essa população. Sessenta e nove animais foram registrados através de sobrevôo utilizando-se a metodologia de transecção linear com amostragem das distâncias. Os dados não corrigidos resultaram em uma densidade estimada de 0,0035ind/ha e uma população de 636 indivíduos. A correção de g para os animais que não foram vistos apresentou uma densidade de 0,0049 ind/ha e uma abundância de 896 (CV=0,27 indivíduos. A metodologia foi aplicada com sucesso na estimativa de cervo-do-pantanal. Esse resultado é importante para avaliarmos a população do cervo-do-pantanal na área e para futuramente analisarmos o impacto do enchimento da represa.

  12. Early aerial photography and contributions to Digital Earth - The case of the 1921 Halifax air survey mission in Canada

    Science.gov (United States)

    Werle, D.

    2016-04-01

    This paper presents research into the military and civilian history, technological development, and practical outcomes of aerial photography in Canada immediately after the First World War. The collections of early aerial photography in Canada and elsewhere, as well as the institutional and practical circumstances and arrangements of their creation, represent an important part of remote sensing heritage. It is argued that the digital rendition of the air photos and their representation in mosaic form can make valuable contributions to Digital Earth historic inquiries and mapping exercises today. An episode of one of the first urban surveys, carried out over Halifax, Nova Scotia, in 1921, is highlighted and an air photo mosaic and interpretation key is presented. Using the almost one hundred year old air photos and a digitally re-assembled mosaic of a substantial portion of that collection as a guide, a variety of features unique to the post-war urban landscape of the Halifax peninsula are analysed, illustrated, and compared with records of past and current land use. The pan-chromatic air photo ensemble at a nominal scale of 1:5,000 is placed into the historical context with contemporary thematic maps, recent air photos, and modern satellite imagery. Further research opportunities and applications concerning early Canadian aerial photography are outlined.

  13. Aerial Survey Results for 131I Deposition on the Ground after the Fukushima Daiichi Nuclear Power Plant Accident

    Energy Technology Data Exchange (ETDEWEB)

    Torii, Tatsuo [JAEA; Sugita, Takeshi [JAEA; Okada, Colin E. [NSTec; Reed, Michael S. [NSTec; Blumenthal, Daniel J. [NNSA

    2013-08-01

    In March 2011 the second largest accidental release of radioactivity in history occurred at the Fukushima Daiichi nuclear power plant following a magnitude 9.0 earthquake and subsequent tsunami. Teams from the U.S. Department of Energy, National Nuclear Security Administration Office of Emergency Response performed aerial surveys to provide initial maps of the dispersal of radioactive material in Japan. The initial results from the surveys did not report the concentration of 131I. This work reports on analyses performed on the initial survey data by a joint Japan-US collaboration to determine 131I ground concentration. This information is potentially useful in reconstruction of the inhalation and external exposure doses from this short-lived radionuclide. The deposited concentration of 134Cs is also reported.

  14. An aerial radiological survey of the Tonopah Test Range including Clean Slate 1,2,3, Roller Coaster, decontamination area, Cactus Springs Ranch target areas. Central Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Proctor, A.E.; Hendricks, T.J.

    1995-08-01

    An aerial radiological survey was conducted of major sections of the Tonopah Test Range (TTR) in central Nevada from August through October 1993. The survey consisted of aerial measurements of both natural and man-made gamma radiation emanating from the terrestrial surface. The initial purpose of the survey was to locate depleted uranium (detecting {sup 238}U) from projectiles which had impacted on the TTR. The examination of areas near Cactus Springs Ranch (located near the western boundary of the TTR) and an animal burial area near the Double Track site were secondary objectives. When more widespread than expected {sup 241}Am contamination was found around the Clean Slates sites, the survey was expanded to cover the area surrounding the Clean Slates and also the Double Track site. Results are reported as radiation isopleths superimposed on aerial photographs of the area.

  15. Map and Aerial Photo Collections in the United States: Survey of the Seventy Largest Collections.

    Science.gov (United States)

    Stevens, Stanley D.

    1981-01-01

    Data gathered from 56 libraries, agencies, and other institutions holding large collections of maps and aerial photographs are reported, including such areas as personnel, equipment, acquisitions, floor space, promotion, and use of computers. The 70 largest collections are ranked and profiled, and a sample questionnaire is provided. (FM)

  16. Aerial Photography and Imagery, Ortho-Corrected, Olympus Aerial Survey bound, Published in 2009, 1:24000 (1in=2000ft) scale, Washington County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2009....

  17. Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition

    Directory of Open Access Journals (Sweden)

    John F. McEvoy

    2016-03-01

    Full Text Available The use of unmanned aerial vehicles (UAVs for ecological research has grown rapidly in recent years, but few studies have assessed the disturbance impacts of these tools on focal subjects, particularly when observing easily disturbed species such as waterfowl. In this study we assessed the level of disturbance that a range of UAV shapes and sizes had on free-living, non-breeding waterfowl surveyed in two sites in eastern Australia between March and May 2015, as well as the capability of airborne digital imaging systems to provide adequate resolution for unambiguous species identification of these taxa. We found little or no obvious disturbance effects on wild, mixed-species flocks of waterfowl when UAVs were flown at least 60m above the water level (fixed wing models or 40m above individuals (multirotor models. Disturbance in the form of swimming away from the UAV through to leaving the water surface and flying away from the UAV was visible at lower altitudes and when fixed-wing UAVs either approached subjects directly or rapidly changed altitude and/or direction near animals. Using tangential approach flight paths that did not cause disturbance, commercially available onboard optical equipment was able to capture images of sufficient quality to identify waterfowl and even much smaller taxa such as swallows. Our results show that with proper planning of take-off and landing sites, flight paths and careful UAV model selection, UAVs can provide an excellent tool for accurately surveying wild waterfowl populations and provide archival data with fewer logistical issues than traditional methods such as manned aerial surveys.

  18. Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition.

    Science.gov (United States)

    McEvoy, John F; Hall, Graham P; McDonald, Paul G

    2016-01-01

    The use of unmanned aerial vehicles (UAVs) for ecological research has grown rapidly in recent years, but few studies have assessed the disturbance impacts of these tools on focal subjects, particularly when observing easily disturbed species such as waterfowl. In this study we assessed the level of disturbance that a range of UAV shapes and sizes had on free-living, non-breeding waterfowl surveyed in two sites in eastern Australia between March and May 2015, as well as the capability of airborne digital imaging systems to provide adequate resolution for unambiguous species identification of these taxa. We found little or no obvious disturbance effects on wild, mixed-species flocks of waterfowl when UAVs were flown at least 60m above the water level (fixed wing models) or 40m above individuals (multirotor models). Disturbance in the form of swimming away from the UAV through to leaving the water surface and flying away from the UAV was visible at lower altitudes and when fixed-wing UAVs either approached subjects directly or rapidly changed altitude and/or direction near animals. Using tangential approach flight paths that did not cause disturbance, commercially available onboard optical equipment was able to capture images of sufficient quality to identify waterfowl and even much smaller taxa such as swallows. Our results show that with proper planning of take-off and landing sites, flight paths and careful UAV model selection, UAVs can provide an excellent tool for accurately surveying wild waterfowl populations and provide archival data with fewer logistical issues than traditional methods such as manned aerial surveys.

  19. Small cetacean aerial survey conducted in Alaskan waters by Alaska Fisheries Science Center, National Marine Mammal Laboratory from 1997-05-08 to 1999-07-04 (NCEI Accession 0131991)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial surveys were conducted to produce abundance estimates for the three Alaska stocks of harbor porpoise. Surveys occurred from May to July 1997 for the Southeast...

  20. Aerial Surveys of Arctic Marine Mammals (ASAMM) collected by National Marine Mammal Laboratory, Bureau of Ocean Energy Management, and other agencies in the Bering, Chukchi and Beaufort Seas (NODC Accession 0039614)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This archival package contains aerial survey data from the surveys described below. The Bureau of Ocean Energy Management (BOEM), formerly the Minerals Management...

  1. Progress report: Waterfowl breeding ground aerial surveys in southern Saskatchewan: 1960

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes the Waterfowl Breeding Population and Habitat Survey and Waterfowl Production and Habitat Survey for southern Saskatchewan during 1960. The...

  2. Age determination by back length for African savanna elephants: extending age assessment techniques for aerial-based surveys.

    Directory of Open Access Journals (Sweden)

    Morgan J Trimble

    Full Text Available Determining the age of individuals in a population can lead to a better understanding of population dynamics through age structure analysis and estimation of age-specific fecundity and survival rates. Shoulder height has been used to accurately assign age to free-ranging African savanna elephants. However, back length may provide an analog measurable in aerial-based surveys. We assessed the relationship between back length and age for known-age elephants in Amboseli National Park, Kenya, and Addo Elephant National Park, South Africa. We also compared age- and sex-specific back lengths between these populations and compared adult female back lengths across 11 widely dispersed populations in five African countries. Sex-specific Von Bertalanffy growth curves provided a good fit to the back length data of known-age individuals. Based on back length, accurate ages could be assigned relatively precisely for females up to 23 years of age and males up to 17. The female back length curve allowed more precise age assignment to older females than the curve for shoulder height does, probably because of divergence between the respective growth curves. However, this did not appear to be the case for males, but the sample of known-age males was limited to ≤27 years. Age- and sex-specific back lengths were similar in Amboseli National Park and Addo Elephant National Park. Furthermore, while adult female back lengths in the three Zambian populations were generally shorter than in other populations, back lengths in the remaining eight populations did not differ significantly, in support of claims that growth patterns of African savanna elephants are similar over wide geographic regions. Thus, the growth curves presented here should allow researchers to use aerial-based surveys to assign ages to elephants with greater precision than previously possible and, therefore, to estimate population variables.

  3. Aerial Surveys of Endangered Whales in the Beaufort Sea, Chukchi Sea, and Northern Bering Sea.

    Science.gov (United States)

    1981-06-01

    16 Surveys of St Lawrence Island Nome to Point Barrow . . . 16 I Surveys of Barrow Area . . 18 Point Barrow to Deadhorse . . . 20 Surveys from...lease area, the Norton Basin - St . Lawrence Island area, the Hope Basin, and coastal portions of the Chukchi Sea. DESIGN The areas of study are listed...Bowhead Whale 314 857 Balaena mysticetus Beluga Whale** 284 3404 Delphinapterus leucas Gray Whale 2 6 Eschrichtius robustus Ring Seal 250 765 Phoca

  4. Combination of low cost terrestrial and aerial photogrammetry: three-dimensional survey of the church of San Miguel in Ágreda (Soria

    Directory of Open Access Journals (Sweden)

    Zaira Peinado Checa

    2014-05-01

    Full Text Available Nowadays, one of the most used methods for the architectural survey is photogrammetry. The combination of terrestrial and aerial photogrammetry of low altitude is the ideal method for obtaining global geometric documentation of any building, as it collects information about concealed or inaccessible points. The UAV or drone is the device currently most used to capture aerial photographs. We used the example of the Church of San Miguel in Agreda to establish a methodology for data collection and the process for obtaining a textured three-dimensional model.

  5. Aerial Surveys of Birds and Mammals in Potential Development Areas in Upper Cook Inlet, Alaska

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Distribution and abundance of waterbirds, marine mammals, and other wildlife were surveyed by helicopter in coastal areas of upper Cook Inlet 13-14 July 1993, in...

  6. Aerial Survey Counts of Harbor Seals in Coastal Alaska (2003-2011)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset supports efforts to estimate the abundance and trends in population size of Alaska harbor seals. Annual surveys of harbor seal populations are...

  7. Aerial surveys conducted along the Garden Route coastline, South Africa, to determine patterns in shore fishing effort

    Directory of Open Access Journals (Sweden)

    M. Kyle S. Smith

    2015-03-01

    Full Text Available Coastal environments provide a wide range of leisure opportunities, including recreational fishing. Understanding spatial and temporal fishing patterns is important in ensuring wise management and sustainable use. To provide information on shore angler effort and distribution, randomised aerial surveys of the Garden Route coast between the eastern border of the Tsitsikamma Marine Protected Area and the Kaaimans River mouth in the west were undertaken between December 2008 and November 2009. A total of 15 flights were conducted, with six flights taking place over weekends, two on public holidays and the balance on normal week days. Angler effort was not uniformly distributed along the coastline, and spatial analysis highlighted coastal areas both inside and outside marine protected areas that had increased angler effort. In general, fishing effort was highest around more densely populated areas and concentrated in areas with easy access. Although angler counts were highly variable, the seasonality of shore angling effort showed a slight increase during autumn and winter and angling effort was significantly higher on weekends.Conservation implications: Data obtained during these surveys can assist management with future conservation planning exercises, whilst also guiding daily law enforcement patrols to maximise angler encounters.

  8. Aerial Surveys of Endangered Whales in the Beaufort, Eastern Chukchi, and Northern Bearing Seas, 1982.

    Science.gov (United States)

    1983-06-01

    3000 ft). Th~ese images of the meter stick were measured and used in an attempt to calibrate the measurement of wales from photographs. 101 I I S1. Time...APRIL, MAY) survey Effort and Rationale I In the spring, flight effort was designed to find and follow bowhead wales migrating northward through the... beluga whale in Alaska. Alaska Department of Fish and Game. Federal Arctic Wildlife Restoration Project Report, Vol. 7. Krogman, BD, RM Sonntag, DJ Rugh, J

  9. The use of the Global Positioning System for real-time data collecting during ecological aerial surveys in the Kruger National Park, South Africa

    Directory of Open Access Journals (Sweden)

    P.C. Viljoen

    1994-09-01

    Full Text Available The use of the Global Positioning System (GPS for real-time data collecting during ecological aerial surveys (EAS in the Kruger National Park (KNP was investigated as an alternative to post-survey manual data capture. Results obtained during an aerial census of large herbivores and surface water distribution in the northern part of the KNP using an onboard GPS connected to a palmtop computer are discussed. This relatively inexpensive system proved to be highly efficient for real-time data capture while additional information such as ground velocity and time can be recorded for every data point. Measures of distances between a ground marker and fix points measured during a flight (x = 60.0 m are considered to be well within the requirements of the EAS.

  10. North Pacific right whale aerial surveys conducted in the southeastern Bering Sea by the Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 2008-07-24 to 2009-08-25 (NCEI Accession 0135767)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — As part of an inter-agency agreement between the National Marine Mammal Laboratory and the Bureau of Ocean Energy Management, aerial surveys of the North Aleutian...

  11. Aerial surveys of ringed seals (Phoca hispida) on fast and pack ice in the central Beaufort Sea of Alaska, 1985-1987 and 1996-1999 (NODC Accession 0000931)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These datasets include counts of ringed seals (Phoca hispida) and other marine mammals made during aerial surveys of ringed seals on fast and pack ice of the...

  12. NURE aerial gamma ray and magnetic detail survey of portions of northeast Washington. Final report

    Energy Technology Data Exchange (ETDEWEB)

    1981-11-01

    The Northeast Washington Survey was performed under the United States Department of Energy's National Uranium Resource Evaluation (NURE) Program, which is designed to provide radioelement distribution information to assist in assessing the uraniferous material potential of the United States. The radiometric and ancilliary data were digitally recorded and processed. The results are presented in the form of stacked profiles, contour maps, flight path maps, statistical tables and frequency distribution histograms. These graphical outputs are presented at a scale of 1:62,500 and are contained in the individual Volume 2 reports.

  13. Aerial radiometric and magnetic survey: Perryton National Topographic Map, Texas/Oklahoma/Kansas. Final report

    Energy Technology Data Exchange (ETDEWEB)

    1980-05-01

    The results of analyses of the airborne gamma radiation and total magnetic field survey flown for the region identified as the Perryton National Topographic Map NJ14-10 are presented. The airborne data gathered are reduced by ground computer facilities to yield profile plots of the basic uranium, thorium and potassium equivalent gamma radiation intensities, ratios of these intensities, aircraft altitude above the earth's surface, total gamma ray and earth's magnetic field intensity, correlated as a function of geologic units. The distribution of data within each geologic unit, for all surveyed map lines and tie lines, has been calculated and is included. Two sets of profiled data for each line are included, with one set displaying the above-cited data. The second set includes only flight line magnetic field, temperature, pressure, altitude data plus magnetic field data as measured at a base station. A general description of the area, including descriptions of the various geologic units and the corresponding airborne data, is included also.

  14. Aerial radiometric and magnetic survey: Socorro National Topographic Map, New Mexico

    Energy Technology Data Exchange (ETDEWEB)

    1979-09-28

    The results of analyses of the airborne gamma radiation and total magnetic field survey flown for the region identified as the Socorro National Topographic Map NI13-4 is presented in this report. The airborne data gathered are reduced by ground computer facilities to yield profile plots of the basic uranium, thorium and potassium equivalent gamma radiation intensities, ratios of these intensities, aircraft altitude above the earth's surface, total gamma ray and earth's magnetic field intensity, correlated as a function of geologic units. The distribution of data within each geologic unit, for all surveyed map lines and tie lines, has been calculated and is included. Two sets of profiled data for each line are included, with one set displaying the above-cited data. The second set includes only flight line magnetic field, temperature, pressure, altitude data plus magnetic field data as measured at a base station. A general description of the area, including descriptions of the various geologic units and the corresponding airborne data, is included.

  15. Aerial radiometric and magnetic survey, San Angelo National Topographic Map: Texas, West Texas Project. Final report

    Energy Technology Data Exchange (ETDEWEB)

    1980-05-01

    The results of analyses of the airborne gamma radiation and total magnetic field survey flown for the region identified as the San Angelo National Topographic Map NH14-1 are presented. The airborne data gathered are reduced by ground computer facilities to yield profile plots of the basic uranium, thorium, and potassium equivalent gamma radiation intensities, ratios of these intensities, aircraft altitude above the earth's surface, total gamma ray and earth's magnetic field intensity, correlated as a function of geologic units. The distribution of data within each geologic unit, for all surveyed map lines and tie lines, has been calculated and is included. Two sets of profiled data for each line are included, with one set displaying the above-cited data. The second set includes only flight line magnetic field, temperature, pressure, altitude data plus magnetic field data as measured at a base station. A general description of the area, including descriptions of the various geologic units and the corresponding airborne data, is included.

  16. Aerial radiometric and magnetic survey: Death Valley National Topographic Map, Nevada, California

    Energy Technology Data Exchange (ETDEWEB)

    1979-09-17

    The results of analysis of the airborne gamma radiation survey flown for the region identified as the Death Valley National Topographic Map NJ11-11 is presented in the bound Volume of this report. The airborne data gathered are reduced by ground computer facilities to yield profile plots of the basic uranium, thorium and potassium equivalent gamma radiation intensities, ratios of these intensities, aircraft altitude above the earth's surface, total gamma ray and earth's magnetic field intensity, correlated as a function of geologic units. The distribution of data within each geologic unit, for all surveyed map lines and tie lines, has been calculated and is included. Two sets of profiled data for each line are included with one set displaying the above-cited data. The second set includes only flight line magnetic field, temperature, pressure, altitude data plus magnetic field data as measured at a base station. A general description of the area, including descriptions of the various geologic units and the corresponding airborne data, is included also.

  17. 数字航空摄影测量数据处理关键技术探讨%Discussed on Digital Aerial Survey Data Processing Key Technology

    Institute of Scientific and Technical Information of China (English)

    肖志婷; 郝娜

    2014-01-01

    with the computer technology , surveying and mapping technology and the rapid development of information technology , avi-ation photogrammetry technology also obtained the unprecedented development and progress, digital aerial photogrammetry technology has become the main way of modern aviation photogrammetry .Therefore, the study of digital aerial photogrammetry , has very impor-tant practical significance .This paper first introduces the development and application fields of digital aerial survey , then analyzed the digital aerial survey data processing key technology and its technical difficulties , finally, summarizes the research of this subject .%随着计算机技术、测绘技术与信息技术的快速发展,航空摄影测量技术也取得了前所未有的进步,数字航空摄影测量技术已经成为现代航空摄影测量的主要方式。因此,对数字航空摄影测量进行研究,具有十分重要的现实意义。本文首先介绍了数字航空摄影测量的发展与应用领域,然后分析了数字航空摄影测量数据处理关键技术及其技术难点,最后对本课题的研究进行了总结。

  18. 航测数据处理中的空间插值方法比较%Spatial Interpolation Methods in Aerial Survey Data Processing

    Institute of Scientific and Technical Information of China (English)

    王颖; 祝民强; 乔康宁

    2011-01-01

    航测数据的航线间距与采样点间距差异很大,生成等值线时需要进行空间插值.以云南省江川地区的航测数据为实验数据源,分别采用反距离权重插值(IDW)、规则样条函数插值(Regularized Spline)、张力样条函数(Tension Spline)插值和Kriging插值等4种插值方法,对航测数据进行分析与比较,从中选出一种最优的插值方法及其参数,以提高航空放射性测量数据的预浏精度和质量.验证结果表明,4种插值方法,相对均方差(RMSE)的排列顺序为:Tension Spline < Regularized Spline < IDW < Kriging,且插值分析中Tension所绘制的铀含量等值线也为最佳分布.因此,Tension插值方法在该航测数据处理中插值效果最好,预测的精度也最高.%The route distance of aerial survey data is quite different from the sample points distance. When sample points generate contours, they need spatial interpolation. This paper took the aerial survey data of Jiangchuan of Yunnan Province as the experimental data source, and applied the Inverse Distance Weighted( IDW ), Regularized Spline, Tension Spline, Kriging four interpolation methods respectively for analyzing and comparing aerial survey data to chose one of the optimal interpolation methods and its parameters,so forth to improve the accuracy and quality of aerial radiological survey data. The validation results showed that the order of Relative Mean Square Error(RMSE) of the four kinds of interpolation methods is Tension Spline < Regularized Spline < IDW < Kriging, and Tension interpolation methods’contour map is the most optimal distribution in the interpolation analyze. Therefore, Tension of Spline interpolation methods’effort is the most natural and the highest prediction accuracy in the aerial survey data processing.

  19. Aeromagnetic Survey by Small Unmanned Aerial Vehicle with Magneto-Resistant Magnetometer at the northern Kalgoorlie area, Western Australia

    Science.gov (United States)

    Funaki, M.; Group, A.; Milligan, P.

    2006-12-01

    We have developed the technology of small drones (unmanned aerial vehicles (UAV)) and an onboard magnetometer focussed on the aeromagnetic surveys under the Ant-Plane project. We succeeded long distant flight to 500km with agnetometer by Ant-Plene4 drone collaborated with Geoscience, Australia, in March 2006. The survey was carried out in the area 10kmx10km around Mt. Vetters Station, Kalgoorlie, West Australian. The magnetic data are obtained from 41 courses (250m in interval) of EW dierction. The altitude of the flight was 900m from sea level and 500m from the runway. The Ant-Plane #4 consists of 2.6m span and 2.0m length with 2-cycles and 2-cylinder 85cc gasoline engine, GPS navigation system by microcomputer and radio telemeter system. The total weight is 25kg including 12.4 litter fuels and the coursing speed is 130. The magnetometer system consists of a 3-component magneto- resistant magnetometer (MR) sensor (Honeywell HMR2300), GPS and data logger. Three components of magnetic field, latitude, longitude, altitude, the number of satellite and time can be recorded in every second during 6 hours. The sensitivity of the magnetometer is 7 nT and we use a total magnetic field intensity for magnetic analysis due to unknown direction of heading of the plane. MR-magnetometer sensor was installed at the tip of a FRP pipe of 1m length, and the pipe was fixed to the head of the plane in order to reduce the plane magnetization. After 4 hours 14 minutes from the takeoff, the 500km flight was accomplished and the magnetic data were obtained from the data logger. The straight flight course was almost consistent with the way point course, but the course was drastically disturbed when the plane was turning. The magnetic noise level during the flight increased to 30nT, when the plane was flight in the tail wind. However, it is much higher when the plane flew in the head wind. The anomaly pattern obtained from Ant-Plane 4 was compared with the magnetic anomaly map published by

  20. AFSC/NMML: Marine Mammal Aerial Surveys in the Bering, Chukchi and Beaufort Seas . 1979-2014

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Bureau of Ocean Energy Management (BOEM), formerly the Minerals Management Service (MMS), and its precursor, the Bureau of Land Management, have funded aerial...

  1. Results of ground level radiation measurements in support of the 1978 aerial survey of the Lake Ontario Ordnance Works, Lewiston, New York

    Energy Technology Data Exchange (ETDEWEB)

    Berven, B A; Doane, R W; Haywood, F F; Shinpaugh, W H

    1979-09-01

    This report contains the results of a limited series of measurements at the Lake Ontario Ordnance Works site, three miles northeast of Lewiston, New York. The scope of this survey was not extensive, and the survey was conducted to support a concurrent aerial survey conducted by EG and G, Inc. Results of this survey indicate two souces of significant external gamma exposure on the site as well as several locations that retain low to intermediate levels of radioactivity in soil. Off-site soil radionuclide concentrations were well within background levels with one exception. Water radionuclide concentrations on the site in the Central Drainage Ditch are significantly above background levels but decrease with distance from the spoil pile, and are within restrictive concentration guides for off-site locations.

  2. Density surface fitting to estimate the abundance of humpback whales based on the NASS-95 and NASS- 2001 aerial and shipboard surveys

    Directory of Open Access Journals (Sweden)

    Charles GM Paxton

    2013-10-01

    Full Text Available Generalized additive models (GAMs with spatially referenced covariates were fitted to data collected during the 1995 and 2001 Icelandic (shipboard and aerial and Faroese (shipboard only components of the North Atlantic Sightings Surveys (NASS-95 and NASS-2001. The shipboard surveys extended from the east coast of Greenland, around Iceland, down to an area along the west coast ofIreland (in 1995 and to the north of the United Kingdom (in 2001. In contrast, the aerial surveys were limited to Icelandic coastal waters only. The aim of the analysis was to predict density, and hence abundance, of humpback whales throughout the survey regions and also to establish if there was any evidence that humpback whale density was related to sea surface temperature or depth.Fitting GAMs to the 1995 data proved problematic and so various subsets of the data were used in an attempt to improve the model fitting. Such difficulties did not occur with the 2001 data. Confidence intervals (CIs for the abundance estimates were estimated using bootstrap sampling methods.The estimated humpback whale abundance for the region covered by the aerial and shipboard surveys in 1995 was 10,521 (95% CI: 3,716–24,636 using all available data and 7,625 (3,641–22,424 if survey blocks with 0 sightings around the Faroes and south of 60˚ N where no humpback whales were detected were excluded from the analysis. The estimate for the total survey region in 2001 was 14,662 (9,441–29,879. The high upper bounds of the confidence intervals were thought to be caused by a paucity of effort over wide areas of the survey leading to interpolation. Overall, the uncertainty associated with these abundance estimates was approximately equal to, or greater than, that associated with a stratified distance analysis. Given these wide CIs the evidence for a substantial difference in abundance between years was equivocal. However there was evidence to suggest that humpback whales congregated in

  3. Report to Pacific Flyway Study Committee and Waterfowl Conservation Committee on the 1985-1988 breeding pairs indices for geese and swans from aerial surveys of the coastal zone, Yukon Delta, Alaska

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The final year of·the 4-year study to develop an aerial survey of geese nesting in the coastal zone of the Yukon Delta has been completed. Tne survey was flown from...

  4. Assessment of benthic disturbance associated with stingray foraging for ghost shrimp by aerial survey over an intertidal sandflat

    Science.gov (United States)

    Takeuchi, Seiji; Tamaki, Akio

    2014-08-01

    One notable type of bioturbation in marine soft sediments involves the excavation of large pits and displacement of sediment associated with predator foraging for infaunal benthos. Batoids are among the most powerful excavators, yet their impact on sediment has been poorly studied. For expansive tidal flats, only relatively small proportions of the habitat can be sampled due to physical and logistical constraints. The knowledge of the dynamics of these habitats, including the spatial and temporal distribution of ray bioturbation, thus remains limited. We combined the use of aerial photogrammetry and in situ benthic sampling to quantify stingray feeding pits in Tomioka Bay, Amakusa, Japan. Specifically, we mapped newly-formed pits over an 11-ha section of an intertidal sandflat over two consecutive daytime low tides. Pit size and distribution patterns were assumed to scale with fish size and reflect size-specific feeding behaviors, respectively. In situ benthic surveys were conducted for sandflat-surface elevation and prey density (callianassid shrimp). The volume versus area relationship was established as a logistic function for pits of varying sizes by photographing and refilling them with sediment. This relationship was applied to the area of every pit detected by air to estimate volume, in which special attention was paid to ray ontogenetic change in space utilization patterns. In total, 18,103 new pits were formed per day, with a mean individual area of 1060 cm2. The pits were divided into six groups (G1 to G6 in increasing areas), with abundances of G1, G2+G3, and G4-G6 being medium, high, and low, respectively. Statistical analyses using generalized linear models revealed a marked preference for the higher prey-density areas in G1 and the restriction of feeding grounds of G4-G6 to the lower shore, with G2+G3 being generalists for prey density and sandflat elevation. The lower degrees of overall bioturbation by G1 and G4-G6 were spatially structured for the

  5. An Early Survey of Best Practices for the Use of Small Unmanned Aerial Systems by the Electric Utility Industry

    Energy Technology Data Exchange (ETDEWEB)

    Lusk, Rick M. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Monday, William [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2017-02-01

    This technical manual is about doing things safely. It isn’t so much a how-to guide as it is a collection of best practices from unmanned aerial system (UAS) operators from all over the world. The desired end state is to provide a touchstone for utility businesses, directors, managers, and operators that will inform them as they begin to strategize, plan, and incorporate this technology into day-to-day operations.

  6. Application of Aerial Survey Technology by Unmanned Aerial Vehicle in Measurement and Analysis for Slump Steep Sections of Highways%无人机航测技术应用于公路崩滑陡峭地段测量分析

    Institute of Scientific and Technical Information of China (English)

    李兴华; 罗秀兰; 龚绪才

    2012-01-01

    With rapid development of unmanned aerial vehicle ( UAV ) technology and digital photogrammetry technology in recent years, the aerial survey technology with UAV has become an effective rapid surveying and mapping means. This paper introduces key techniques for data processing by UAV aerial survey, measures embankments and slope slump of highways by means of UAV aerial survey technology and obtain 3D digital products from the measured areas so as to provide timely and valid surveying and mapping data for maintenance and management of highways.%近年来,随着无人机技术和数字摄影测量技术的快速发展,无人机航测技术已经成为一种有效的快速测绘手段.介绍无人机航测数据处理的关键技术,利用无人机航测技术对公路路堤和边坡崩滑进行快速测量,获取测区的3D数字信息,为公路维护管理提供及时有效的测绘资料.

  7. Solutions for Large Amount of Images in Aerial Photograph Control Surveying Using Google Earth%利用Google Earth解决控制测量生产中大数据量影像带来的难题

    Institute of Scientific and Technical Information of China (English)

    孙睿英; 李玉成; 吕国志

    2012-01-01

    探讨了利用Google Earth辅助进行像片控制测量控制点布设的优点,介绍了利用Google Earth进行像控点布设的方法和作业流程.%This paper discusses the advantages of the planning of ground control points for aerial photograph control surveying using Google Earth, and introduces the method and working flowchart of the planning of ground control points for aerial photograph control surveying using Google Earth.

  8. Aerial surveys of endangered cetaceans and other marine mammals in the northwestern Gulf of Alaska and southeastern Bering Sea. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Brueggeman, J.J.; Green, G.A.; Grotefendt, R.A.; Chapman, D.G.

    1987-09-01

    Aerial surveys were conducted in the Northwestern Gulf of Alaska and southeastern Bering Sea to determine the abundance, distribution, and habitat use patterns of endangered cetaceans and other marine mammals. Four species of cetaceans listed by the Federal Government as endangered were observed: gray, humpback, finback, and sperm whales. Sightings were also made to seven nonendangered species of cetaceans: minke, Cuvier's beaked, Baird's beaked, belukha, and killer whales, and Dall and harbor porpoises. Results show that the project area is an important feeding ground for relatively large numbers of humpback and finback whales and lower numbers of gray whale migration route between seasonal ranges. The project area also supports a variety of other marine mammals both seasonally and annually.

  9. Research on Precision Survey of Unmanned Aerial Vehicle Remote Sensing in Validation Field%无人机遥感载荷验证场精密测量研究

    Institute of Scientific and Technical Information of China (English)

    徐锐; 吴恒友; 赵天鹏

    2012-01-01

    Research on precision survey of unmanned aerial vehicle remote sensing in validation field provides basic survey data for establishing China first aerial remote sensing scale - field and the world first unmanned aerial vehicle remote sensing scale - field. The process of precision survey is introduced in this paper and the results of this research are shown too. This research provides reference for precision survey of unmanned aerial vehicle remote sensing in the future.%无人机遥感载荷验证场精密测量研究,为我国首个航空遥感定标场的建立、世界上首个无人机遥感定标场的建立提供了基础测绘数据保障.本文详细介绍了无人机遥感载荷验证场(南方场)精密测量的具体实施过程,以及本项目的主要成果.为今后无人机遥感验证工作提供借鉴.

  10. Aerial Photography and Imagery, Ortho-Corrected, 1997 Ortho Imagery collected by Abrams Aerial Survey, Published in 1997, 1:2400 (1in=200ft) scale, CITY OF PORTAGE.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of...

  11. Survey on Aerial Manipulator Systems%作业型飞行机器人研究现状与展望

    Institute of Scientific and Technical Information of China (English)

    杨斌; 何玉庆; 韩建达; 刘光军; 张广玉; 王争

    2015-01-01

    作业型飞行机器人是指由飞行机器人(通常是旋翼飞行机器人)与作业装置(机械臂)共同组成的具有主动作业能力的一种新型机器人系统.由于主动作业装置与飞行机器人之间的紧密耦合,以及飞行机器人本身对外部干扰的敏感性,作业型飞行机器人系统的研究也面临着诸多难题,如:机械臂运动引起系统重心变化带来的建模与镇定问题,与外界持续接触作业时的安全协调控制问题,以及相应的运动学、动力学规划问题等等.本文将全面分析与总结近几年发表的资料与文献,对作业型飞行机器人系统及相应的动力学建模与耦合分析、自主控制等方面的主要研究成果进行综述,并对其中的关键问题与困难进行分析与展望.%Aerial manipulator system (AMS) is a new type of robot system with active operating capability, which is composed of aerial robot (usually rotor flying robot, RFR) and the operating device (manipulator). However, there exist some challenging academic problems in AMS research due to the strong dynamics coupling between the manipulator and the RFR, and the sensitivity of the RFR to the external interference, such as the modeling and stabilization problem due to the center-of-gravity changing caused by the relative movement between the manipulator and the RFR, the coordinated control problem of the RFR and the manipulator, the steady control problem of the system when the arm contacting with the environment, as well as the kinematic and dynamic planning problems. This paper presents the review of achievements and progresses about the dynamic modeling, coupling analysis and autonomous control on the AMS according to the recently published literatures, and points out the critical problems in the research in detail and the key challenging problems and some future research directions.

  12. 优于0.2m分辨率航空影像在农村地籍调查中的应用研究%Application Research of 0 .2 m Resolution Aerial Image in Rural Cadastral Survey

    Institute of Scientific and Technical Information of China (English)

    叶海全

    2015-01-01

    基于福建省开展农村地籍调查与不动产登记的需求,使用优于0.2 m分辨率航空影像,探讨航测技术应用于农村地籍调查中的适宜性与可靠性。通过选取4个具有代表我省地形地貌特点的区域,分别采用航测法与图解法对农村地籍要素进行量测,统计分析量测的界址点所能达到的数学精度,阐述航测技术中精度控制的关键技术。通过实验研究,最后对我省开展农村地籍调查合理的施测方案进行总结。%Based on Fujian province to carry out the rural cadastral survey and the demand of the real estate registration, use better than 0.2 m resolution aerial images, research aerial technology applied in the rural cadastral survey of the suitability and reliability. By choosing four representative area of landform characteristics of Fujian province, respectively, using the method of aerial survey and graphic survey method for the rural cadastral elements measurement, statistical analysis the results of measurement can achieve mathe-matical precision, expound accuracy control of key technologies in the aerial technology.Through experimental research, Summarized our province carry out the rural cadastral survey reasonable measuring scheme.

  13. Preparation of magnetic anomaly profile and contour maps from DOE-NURE aerial survey data. Volume 1: Processing procedures

    Science.gov (United States)

    Tennel, E. P.; Hinze, W. J.

    1981-09-01

    Total intensity magnetic anomaly data acquired as a supplement to radiometric data in preparing regional profile and contour maps are discussed. Survey contractor supplied magnetic anomaly data are subjected to a multiprocess, computer based procedure. This procedure is used to produce the following machine plotted maps: (1) profile map of contractor supplied magnetic anomaly data; (2) profile map of high cut filtered data with contour levels of each profile marked and annotated on the associated flight track; (3) profile map of critical point data with contour levels indicated; and (4) contour map of filtered and selected data.

  14. Aerial Photography and Imagery, Ortho-Corrected, Oahu Digital Raster Graphic, Published in 2003, 1:24000 (1in=2000ft) scale, U.S. Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Hardcopy Maps information as...

  15. Beluga whales aerial survey conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 1993-06-02 to 2014-06-12 (NCEI Accession 0133936)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Marine Fisheries Service (NMFS) has conducted aerial counts of Cook Inlet beluga whales (Delphinapterus leucas) from 1993 to 2014 (excluding 2013)....

  16. Aerial survey and integrated studies (bilingual edition english/french) : P. Rey (Editor). UNESCO, Paris, 1966, 575 pp., paper cover $ 23. -, cloth bound $ 26.-

    NARCIS (Netherlands)

    Vink, A.P.A.

    1968-01-01

    This book contains the papers read at the conference held in 1964 at Toulouse, France, on the use of aerial photographs in integrated studies of resources as well as summaries of the discussions of this conference.

  17. Aerial Photography and Imagery, Ortho-Corrected, Oahu Digital Orthophoto Mosaic, Published in 2003, 1:24000 (1in=2000ft) scale, U.S. Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Orthoimagery information as...

  18. Aerial Photography and Imagery, Ortho-Corrected, Maui Digital Raster Graphic, Published in 2004, 1:24000 (1in=2000ft) scale, U.S. Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Orthoimagery information as...

  19. Aerial Photography and Imagery, Ortho-Corrected, Molokai Digital Raster Graphic, Published in 2004, 1:24000 (1in=2000ft) scale, U.S. Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Hardcopy Maps information as...

  20. Aerial Photography and Imagery, Ortho-Corrected, Maui County Digital Orthophoto Mosaic, Published in 2003, 1:24000 (1in=2000ft) scale, U.S. Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Hardcopy Maps information as...

  1. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 26

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  2. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 7

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  3. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Brandon

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  4. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 3

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  5. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 24

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  6. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 16

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  7. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 20

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  8. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 14

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  9. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Alton

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  10. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Dresden

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  11. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 6

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  12. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 19

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  13. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 1

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  14. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 8

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  15. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 13

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  16. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 21

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  17. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- La Grange

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  18. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 10

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  19. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Lockport

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  20. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 25

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  1. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 9

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  2. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 4

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  3. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 18

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  4. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Minnesota

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  5. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 11

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  6. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 12

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  7. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 2

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  8. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 15

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  9. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 5

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  10. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 17

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  11. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 22

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  12. Archive of post-Hurricane Charley coastal oblique aerial photographs collected during U.S. Geological Survey field activity 04CCH01 from Marco Island to Fort DeSoto, Florida, August 15, 2004

    Science.gov (United States)

    Subino, Janice A.; Morgan, Karen L.M.; Krohn, M. Dennis; Miller, Gregory K.; Dadisman, Shawn V.; Forde, Arnell S.

    2012-01-01

    On August 15, 2004, the U.S. Geological Survey (USGS) conducted an oblique aerial photographic survey off the southwest coast of Florida, from Marco Island to Fort DeSoto, aboard a Navajo Chieftain airplane, tail number N2KK, at an altitude of 500 ft and approximately 1000 ft offshore. These photographs were used to document coastal changes such as beach erosion and overwash caused by Hurricane Charley. They will also be used as baseline data for future coastal change. The oblique photography also served as qualitative ground truthing for the Experimental Advanced Airborne Research Lidar (EAARL) coastal topography and bathymetry data collected on August 16, 2004 (Bonisteel and others, 2009). This report serves as an archive of photographs collected during the August 15, 2004, post-Hurricane Charley coastal oblique aerial survey along with associated flight path maps, KML files, navigation files, digital Field Activity Collection System (FACS) logs, and Federal Geographic Data Committee (FGDC) metadata. Refer to the Acronyms page for expansions of all acronyms and abbreviations used in this report.

  13. NURE aerial gamma-ray and magnetic reconnaissance survey of portions of New Mexico, Arizona and Texas. Volume II. New Mexico-Las Cruces NI 13-10 Quadrangle. Final report

    Energy Technology Data Exchange (ETDEWEB)

    1981-09-01

    The results of a high-sensitivity, aerial gamma-ray spectrometer and magnetometer survey of the Las Cruces two degree quadrangle, New Mexico, are presented. Instrumentation and methods are described in Volume 1 of this final report. The work was done by Carson Helicopters, Inc., and International Exploration, Inc. The work was performed for the US Department of Energy - National Uranium Resource Evaluation (NURE) program. Analysis of this radiometric data yielded 192 statistically significant eU anomalies. Of this number, thirty-nine were considered to be of sufficient strength to warrant further investigation.

  14. Off-the-Wall Project Brings Aerial Mapping down to Earth

    Science.gov (United States)

    Davidhazy, Andrew

    2008-01-01

    The technology of aerial photography, photogrametry, has widespread applications in mapping and aerial surveying. A multi-billion-dollar industry, aerial surveying and mapping is "big business" in both civilian and military sectors. While the industry has grown increasingly automated, employment opportunities still exist for people with a basic…

  15. 无人机航摄在城市规划建设中的应用%Unmanned aerial Vehicle Survey Application in Urban Planning and Construction

    Institute of Scientific and Technical Information of China (English)

    张涛

    2014-01-01

    无人机航拍摄影是新兴的航空遥感技术,本文主要从其优于传统航空摄影测量的特点说明使用无人机进行城市规划建设,在实践中取得的明显成效和经验。以无人机平台的微型航空遥感技术,为中小城市特别是镇、县、乡等地区经济和文化建设提供了有效的遥感技术服务手段,适应国家经济和文化建设发展的需要。%The UAV aerial photography aerial remote sensing technology is emerging,this paper mainly from the superior to the traditional aerial photogram metric characteristic description of the use of drones to city planning and construction,and achieved remarkable results and experience in practice.A miniature aerial remote sensing technique of UAV platform for small and medium-sized city,especially the remote sensing technology provides an effective means of service economy and culture town,county,township and other areas,to meet the needs of national economic and cultural development.

  16. NAPP = National Aerial Photography Program 1:40,000 Scale: 1987 - 2007

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The National Aerial Photography Program (NAPP) was coordinated by the USGS as an interagency project to acquire cloud-free aerial photographs at an altitude of...

  17. Aerial Photo Mosaics = Photo Indexes and Map-Line Plots: Pre 1990

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — USGS and Non USGS Agencies Aerial Photo Reference Mosaics inventory contains indexes to aerial photographs. The inventory contains imagery from various government...

  18. Mississippi National River and Recreation Area, 2012 True Color Aerial Mosaic

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital aerial imagery provides baseline data for mapping vegetation types and other land cover features. Vertical photographs (photographs taken with the aerial...

  19. Application of Aerial Survey by Drone in S urveying of 1∶500 Topographic Map of Tingkou Reservoir%无人机航测在亭口水库1∶500地形测量中的应用

    Institute of Scientific and Technical Information of China (English)

    焦旺; 刘凯

    2016-01-01

    In accordance with features of the aerial survey by drone, landmark point and check point in field are arranged.Through the out-door aerial photo by drone and the joint application of software such as Pix4DMapper, CASS and ArcGIS, etc, precision of plane and eleva-tion of the final topographic map satisfies requirementsof 1∶500 topographic map.This provides application of drone in the survey of compli-cated topography of reservoir with the complete solution.%根据无人机航测技术的特点,布设野外地标点和检核点,通过无人机外业航摄及内业中联合使用Pix4DMapper、CASS和ArcGIS等软件,使最终地形图的平面和高程精度达到了1∶500地形图的要求,为无人机在复杂的水库地形测量中的应用提供了一套完整的解决方案。

  20. Pacific Continental Shelf Environmental Assessment (PaCSEA): aerial seabird and marine mammal surveys off northern California, Oregon, and Washington, 2011-2012

    Science.gov (United States)

    Adams, Josh; Felis, Jonathan J.; Mason, John W.; Takekawa, John Y.

    2014-01-01

    Marine birds and mammals comprise an important community of meso- and upper-trophic-level predators within the northern California Current System (NCCS). The NCCS is located within one of the world’s four major eastern boundary currents and is characterized by an abundant and diverse marine ecosystem fuelled seasonally by wind-driven upwelling which supplies nutrient-rich water to abundant phytoplankton inhabiting the surface euphotic zone. The oceanographic conditions throughout the NCCS fluctuate according to well-described seasonal, inter-annual, and decadal cycles. Such oceanographic variability can influence patterns in the distribution, abundance, and habitat use among marine birds and mammals. Although there are an increasing number of studies documenting distributions and abundances among birds and mammals in various portions of the NCCS, there have been no comprehensive, large-scale, multi-seasonal surveys completed throughout this region since the early 1980s (off northern California; Briggs et al. 1987) and early 1990s (off Oregon and Washington; Bonnell et al. 1992, Briggs et al. 1992, Green et al. 1992). During 2011 and 2012, we completed the Pacific Continental Shelf Environmental Assessment (PaCSEA) which included replicated surveys over the continental shelfslope from shore to the 2000-meter (m) isobath along 32 broad-scale transects from Fort Bragg, California (39° N) through Grays Harbor, Washington (47° N). Additionally, surveys at a finer scale were conducted over the continental shelf within six designated Focal Areas: Fort Bragg, CA; Eureka, CA; Siltcoos Bank, OR; Newport, OR; Nehalem Bank, OR; and Grays Harbor, WA. We completed a total of 26,752 km of standardized, low-elevation aerial survey effort across three bathymetric domains: inner-shelf waters ( Overall, we recorded 15,403 sightings of 59,466 individual marine birds (12 families, 54 species). During winter, seven species groupings comprised >90% of the total number of birds

  1. 市、县基础测绘规划中航空摄影规划及其数据采集方法%The Method of Aerial Photographic Planning and Data Acquisition in City and County Fundamental Surveying and Mapping Planning

    Institute of Scientific and Technical Information of China (English)

    王芳; 李景文

    2012-01-01

    基础航空摄影产品是服务于社会各行各业的重要基础测绘成果,但多数市、县级基础测绘规划任务中缺少对基础航空摄影的规划。本文以测绘行业的相关法律法规为基础,探索了在市、县级基础测绘规划实施过程中,基础航空摄影的规划方案和基于基础航空摄影测量的数据采集方法,从而提高了基础测绘产品服务经济社会发展的水平和效率。%The basic aerial photography products are important basic surveying and mapping results serving the society from all walks of life, but the planning of basic surveying and mapping of most cities and counties lacks the planning of basic aerial photography. Based on the related laws of surveying and mapping, this paper explores the plan of basic aerial photography and the method of data acquisition based on basic aerial photogrammetry in the process of implementation of city and country level basic surveying and map- ping planning, thus improves the efficiency and ability of serving social economic development of basic surveying and mapping product.

  2. Kite Aerial Photography (KAP) as a Tool for Field Teaching

    Science.gov (United States)

    Sander, Lasse

    2014-01-01

    Kite aerial photography (KAP) is proposed as a creative tool for geography field teaching and as a medium to approach the complexity of readily available geodata. The method can be integrated as field experiment, surveying technique or group activity. The acquired aerial images can instantaneously be integrated in geographic information systems…

  3. A Survey of Beach Breeding in Xiamen Based on Unmanned Aerial Vehicle%基于无人机航空摄影技术的厦门滩涂养殖调查

    Institute of Scientific and Technical Information of China (English)

    王镇

    2012-01-01

    近年来随着实时化测绘的需求增加,无人机航空摄影发展迅速.无人机航摄具有运行成本低、执行任务灵活性高等优点,是遥感数据获取的重要手段.本研究论述了利用无人机对厦门市翔安区滩涂进行航空摄影制作1∶2 000正射影像的方法,其成果用于滩涂养殖信息调查.%With increasing demands in real time surveying and mapping,aerial photography technology by Unmanned Aerial Vehicle(UAV)is growing rapidly.Thanks to its low cost in operation and flexibility in implementation,UAV is becoming an important tool of acquiring remote sensing information.A process of making the 1:2 000 beach orthograph image of the Xiang′an area in Xiamen is introduced using UAV,for the purpose of beach breeding investigation.

  4. 浅谈航空摄影测量法在1:10000地形图测绘中的应用%A Discussion of the Application of Aerial Photogrammetry in Surveying and Mapping of 1:10 000 Maps

    Institute of Scientific and Technical Information of China (English)

    李津岭; 张鉴; 吴学峰

    2012-01-01

    In this paper, we introduce the application of aerial photogrammetry in surveying and mapping of 1:10 000 maps, and dis- cuss three aspects including the development and application of aerial photogrammetry, the methods of obtaining data source in 1:10 000 topographic maps surveying and mapping, and the modem technique and workflow of the aerial photogrammetry.%介绍了航空摄影测量方法在1:10 000地形图测绘生产中的应用,并针对航空摄影测量法的发展应用与目前我国1:10 000地形图测绘数据源获取的方式,以及现代航空摄影测量方法的工艺流程三个方面分别进行了阐述。

  5. Representation and Requirement of Special Surface Features Elements in Aerial Survey Topographic Map of Mining Area%矿区航测地形图特殊地物要素的表示方法及要求

    Institute of Scientific and Technical Information of China (English)

    黄文卓; 李胜天

    2012-01-01

    The application of aerial photogrametry method to the production of area can greatly improve the efficiency of the coal resources survey, which he for industrial construction in mining area quickly and accurately by displaying tural dements on the topographic map. terrain and geologic map in mining lps to provide basic data and maps the unique facilities and architec-%采用航测方法制作矿区地形地质图,可以大幅度提高煤炭资源调查研究工作的效率。如何快速和准确地为矿区工业建设提供基础数据和图件,在地形图上准确无误地表达矿区特有设施和建筑要素是本文研究的重点。

  6. 基于流形学习的航空影像匹配方法研究%Research of Matching Method about Aerial Images of Surveying Based on Manifold Learning

    Institute of Scientific and Technical Information of China (English)

    付冬暇; 赵淮; 李爱霞

    2013-01-01

    提出了一种基于流形学习的航空影像匹配方法.该方法利用同一幅影像中特征点之间的空间结构和不同影像中特征点之间的相似性作为特征点映射的约束条件,利用流形学习方法对影像的特征点进行映射,将所有影像的特征点映射到同一空间后采用最小距离方法进行特征点的匹配.利用实际的航空影像进行实验,与SIFT方法、SVD-LLE方法进行综合分析,结果表明本文方法在匹配性能方面具有明显的优越性,并且能够同时获得多幅影像之间的匹配关系.%This paper proposes a matching method about aerial images of surveying based on manifold learning.Based on manifold learning,and by using the differencies of spatial structures among feature points in one image and similarities among feature points in different images,this method mapping all feature points in a same space,then matching them in min distance classification.By using actual aerial images of surveying,comprehensive analysis and SIFT method,SVD-LLE method,the results of experiment show that this method not only has obvious advantages in matching performance,but also can obtain the matching relationship between multiple images.

  7. Aerial Images of Alaska's Arctic Coastal Plain; 1974-1979

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset is comprised of 10 aerial images of three different study areas on Alaska's Arctic Coastal Plain flown by NASA in 1974, 1977, 1979 and obtained from the...

  8. Aerial measurements in Finland

    Energy Technology Data Exchange (ETDEWEB)

    Winkelmann, I.; Thomas, M.; Buchroeder, H.; Brummer, C. [Federal Office for Radiation Protection, Berlin (Germany); Carloff, G. [German Federal Border Police, Grenzschutz-Fliegergruppe, Sankt Augustin (Germany)

    1997-12-31

    Aerial measurements were performed to determine the {sup 137}Cs soil contamination in a given region to detect unknown radiation sources and to assess their activity. For these measurements a computerized gamma ray spectrometer, equipped with a high purity Ge-semiconductor detector and a 12 l volume Nal(Tl)-detector was used. HPGe-detector measurements from different altitudes over area I were done to test and re-calibrate the aerial measuring system. The known {sup 137}Cs contamination of (50.7 {+-} 5.2) kBq m{sup -2} could be confirmed by the measured value of (57 {+-} 10) kBq m{sup -2}. the Nal(Tl)-detector was re-calibrated at that site for further {sup 137}Cs measurements over area II. The area II was surveyed from an altitude of about 70 m and at a parallel line distance of 150 m at an flying speed of 100 km h{sup -1} to determine the {sup 137}Cs soil contamination. The measuring time was two seconds for the Nal(Tl)-detector. For the spectra measured with the HPGe-detector, a measuring time of 30 s each was chosen. From the Nal(Tl)-measurements, a mean {sup 137}Cs value of (60 {+-} 20) kBq m{sup -2} was determined with a maximum value of 90 kBq m{sup -2}. The corresponding values measured by HPGe-detector were (70 {+-} 20) kBq m{sup -2} and 120 kBq m{sup -2}, respectively. For the evaluation of the HPGe-spectra a depth distribution parameter {alpha}/{rho} = (0.44 {+-} 0.21) cm{sup 2} g{sup -1} for {sup 137}Cs was used measured from soil samples. From data measured with the Nal(Tl)-detector during flights over area III, three{sup 60}Co-sources and one {sup 137}Cs source could be detected, localized and their activity assessed. By HPGe-detector measurements, only scattered {sup 192}lr radiation was registered. (au).

  9. An Analysis of the Influence of Flight Parameters in the Generation of Unmanned Aerial Vehicle (UAV) Orthomosaicks to Survey Archaeological Areas.

    Science.gov (United States)

    Mesas-Carrascosa, Francisco-Javier; Notario García, María Dolores; Meroño de Larriva, Jose Emilio; García-Ferrer, Alfonso

    2016-11-01

    This article describes the configuration and technical specifications of a multi-rotor unmanned aerial vehicle (UAV) using a red-green-blue (RGB) sensor for the acquisition of images needed for the production of orthomosaics to be used in archaeological applications. Several flight missions were programmed as follows: flight altitudes at 30, 40, 50, 60, 70 and 80 m above ground level; two forward and side overlap settings (80%-50% and 70%-40%); and the use, or lack thereof, of ground control points. These settings were chosen to analyze their influence on the spatial quality of orthomosaicked images processed by Inpho UASMaster (Trimble, CA, USA). Changes in illumination over the study area, its impact on flight duration, and how it relates to these settings is also considered. The combined effect of these parameters on spatial quality is presented as well, defining a ratio between ground sample distance of UAV images and expected root mean square of a UAV orthomosaick. The results indicate that a balance between all the proposed parameters is useful for optimizing mission planning and image processing, altitude above ground level (AGL) being main parameter because of its influence on root mean square error (RMSE).

  10. The Impact Analysis of Topographic Relief for UAV Low Altitude Aerial Survey: Taking Dongqiao Town, Longhai City as an Example%地形起伏对无人机低空航测影响分析——以东桥镇、龙海市为例

    Institute of Scientific and Technical Information of China (English)

    张永年; 李秀丽

    2013-01-01

    结合福建地区两次无人机低空航测项目,发现地形起伏是无人机低空航测中一个很大的影响因素.它不仅对飞行作业产生很大的影响,并且对后期的空中三角测量精度有很大的干预.本文通过数据的比较,提出高程信息在无人机低空航测中的重要性,应引起足够的重视.%On the basis of two UAV low altitude aerial project in Fijian area, we found topographic relief is a big influence factor on UAV low altitude aerial survey. It not only has a significant impact on flight operations, but also the later aerial triangulation accuracy, puts forward the importance of height information in UAV low altitude aerial survey through the comparison of the data, to which e-nough attention should be paid.

  11. Application of Unmanned Aerial Vehicle Photogrammetric in Emergency Surveying and Mapping Support in Sichuan Province%无人机航摄技术在四川省应急测绘保障中的应用研究

    Institute of Scientific and Technical Information of China (English)

    周兴霞; 廖小露; 刘嘉

    2014-01-01

    近年来,无人机低空摄影测量技术发展迅速,已广泛应用到多个领域,其灵活机动的特点使其在防灾减灾与应急处置中的应用优势尤其突出。本文结合无人机在四川省应急测绘保障中的应用,研究应急状态下无人机航摄流程及应急影像快速处理技术,并以芦山“4·20”强烈地震应急测绘保障和四川省2013年防汛救灾应急测绘保障为例,探讨无人机航摄技术在重大自然灾害抢险救灾、灾害损失评估及地质灾害防治等领域中的应用。%In recent years, with the rapidly development of low-altitude photogrammetric, the unmanned aerial vehicle ( UAV) tech-nology has been widely used in many fields relying on the advantages of flexibility and mobility, especially in the field of disaster pre-vention and emergency manage.In this paper, authors will study the flow of UAV photogrammetric and the emergency images fast-processing based on the application of emergency surveying and mapping support in Sichuan province.At last, we will take "4.20"Lushan earthquake emergency surveying and mapping and 2013 flood disaster emergency surveying and mapping in Sichuan as an ex-ample, discuss the application of UAV photogrammetric in major natural disaster rescue, disaster damage assessment and geological disaster prevention.

  12. Unmanned Aerial Vehicle Instrumentation for Rapid Aerial Photo System

    CERN Document Server

    Adiprawita, Widyawardana; Semibiring, Jaka

    2008-01-01

    This research will proposed a new kind of relatively low cost autonomous UAV that will enable farmers to make just in time mosaics of aerial photo of their crop. These mosaics of aerial photo should be able to be produced with relatively low cost and within the 24 hours of acquisition constraint. The autonomous UAV will be equipped with payload management system specifically developed for rapid aerial mapping. As mentioned before turn around time is the key factor, so accuracy is not the main focus (not orthorectified aerial mapping). This system will also be equipped with special software to post process the aerial photos to produce the mosaic aerial photo map

  13. Retrospective farm scale spatial analysis of viticultural terroir fertility using a 70 y-aerial photograph time series, soil survey and very high resolution Pléiades and EM38 data

    Science.gov (United States)

    Vaudour, Emmanuelle; Leclercq, Léa; Gilliot, Jean-Marc; Chaignon, Benoît

    2016-04-01

    In order to elaborate adequate and sustainable practices while better controlling harvest composition at farm scale, the detailed spatial assessment of terroir units is needed. Although such assessment is made in the present time, it reflects vine behaviour and soil quality according to cumulated past choices in vineyard management. in addition to demarcate homogeneous within-vineyard zones, there is a need, in cases where the winegrower starts up its activities, to retrace the behaviour of these zones in the past, so as to consolidate the diagnosis of vine fertility, and determine further adoption of new soil and vineyard management practices that are likely to favour a long-term preservation of quality production together with soil ecosystem functions. In this study we aimed at performing such historical and spatial tracing using a long term time-series of aerial survey images, in combination with a set of very high resolution data: resistivity EM38 measurements and very high resolution Pléiades satellite images. This study was conducted over a 6 ha-farm mainly planted with rainfed black Grenache and Syrah varieties in the Southern Rhone Valley. In a previous study carried out at regional scale, soil landscape and potential terroir units had been characterized. A new field survey carried out in January 2015 considered a total of 98 topsoil sampling sites in addition to 14 soil pits, the horizons of which were described and sampled. Physico-chemical analyses were made for all soil samples, and for those horizons having the highest root development, additional analytical parameters such as copper, active lime and mineral nutrients contents were determined. Along with soil parameters, soil surface condition, vine biological parameters including vigour, presence of diseases, stock-unearthing were collected. A total of 25 aerial photographs in digitized format from the French National Institute of Geographic and Forest Information (IGN) were examined over the 1947

  14. Fast Aerial Video Stitching

    Directory of Open Access Journals (Sweden)

    Jing Li

    2014-10-01

    Full Text Available The highly efficient and robust stitching of aerial video captured by unmanned aerial vehicles (UAVs is a challenging problem in the field of robot vision. Existing commercial image stitching systems have seen success with offline stitching tasks, but they cannot guarantee high-speed performance when dealing with online aerial video sequences.In this paper, we present a novel system which has an unique ability to stitch high-frame rate aerial video at a speed of 150 frames per second (FPS. In addition, rather than using a high-speed vision platform such as FPGA or CUDA, our system is running on a normal personal computer. To achieve this, after the careful comparison of the existing invariant features, we choose the FAST corner and binary descriptor for efficient feature extraction and representation, and present a spatial and temporal coherent filter to fuse the UAV motion information into the feature matching. The proposed filter can remove the majority of feature correspondence outliers and significantly increase the speed of robust feature matching by up to 20 times. To achieve a balance between robustness and efficiency, a dynamic key frame-based stitching framework is used to reduce the accumulation errors.Extensive experiments on challenging UAV datasets demonstrate that our approach can break through the speed limitation and generate an accurate stitching image for aerial video stitching tasks.

  15. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Pool 8 Color Infrared

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  16. 2000 Aerial Photo Mosaics - Upper Mississippi River System -- Open River 2

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) collects aerial photography of the Upper Mississippi River System (UMRS) floodplain...

  17. Application of Aerial Surveying Technology by Small Drone in Water Resources Engineering%小型无人机航测技术在水利工程中的应用

    Institute of Scientific and Technical Information of China (English)

    蔺全奎; 李伟哲

    2016-01-01

    The field work procedures of the 4-rotor-wing drone are described. Through distribution of field image control points, aerial shooting by drone, indoor data preparation and image data processed by Pix4Dmapper, multiple surveying and mapping products can be pro-duced. They can be further processed by application of special software, producing 3D models which are more visual.%阐述了四旋翼无人机MD4-1000外业作业流程。通过野外像控点的布设、无人机外业航摄及内业数据准备、使用Pix4Dmapper处理影像数据,最终可以生成多种测绘产品,可以导入多种类型的专业软件完成进一步的分析处理,生成的三维模型,更加直观。

  18. Profiles of gamma-ray and magnetic data for aerial surveys over parts of the Western United States from longitude 108 to 126 degrees W. and from latitude 34 to 49 degrees N.

    Science.gov (United States)

    Duval, Joseph S.

    1995-01-01

    This CD-ROM contains images generated from geophysical data, software for displaying and analyzing the images and software for displaying and examining profile data from aerial surveys flown as part of the National Uranium Resource Evaluation (NURE) Program of the U.S. Department of Energy. The images included are of gamma-ray data (uranium, thorium, and potassium channels), Bouguer gravity data, isostatic residual gravity data, aeromagnetic anomalies, topography, and topography with bathymetry. This publication contains image data for the conterminous United States and profile data for the conterminous United States within the area longitude 108 to 126 degrees W. and latitude 34 to 49 degrees N. The profile data include apparent surface concentrations of potassium, uranium, and thorium, the residual magnetic field, and the height above the ground. The images on this CD-ROM include graytone and color images of each data set, color shaded-relief images of the potential-field and topographic data, and color composite images of the gamma-ray data. The image display and analysis software can register images with geographic and geologic overlays. The profile display software permits the user to view the profiles as well as obtain data listings and export ASCII versions of data for selected flight lines.

  19. An automatic high precision registration method between large area aerial images and aerial light detection and ranging data

    OpenAIRE

    Du, Q.; Xie, D; Sun, Y.

    2015-01-01

    The integration of digital aerial photogrammetry and Light Detetion And Ranging (LiDAR) is an inevitable trend in Surveying and Mapping field. We calculate the external orientation elements of images which identical with LiDAR coordinate to realize automatic high precision registration between aerial images and LiDAR data. There are two ways to calculate orientation elements. One is single image spatial resection using image matching 3D points that registered to LiDAR. The other o...

  20. Persistent Aerial Tracking

    KAUST Repository

    Mueller, Matthias

    2016-04-13

    In this thesis, we propose a new aerial video dataset and benchmark for low altitude UAV target tracking, as well as, a photo-realistic UAV simulator that can be coupled with tracking methods. Our benchmark provides the rst evaluation of many state of-the-art and popular trackers on 123 new and fully annotated HD video sequences captured from a low-altitude aerial perspective. Among the compared trackers, we determine which ones are the most suitable for UAV tracking both in terms of tracking accuracy and run-time. We also present a simulator that can be used to evaluate tracking algorithms in real-time scenarios before they are deployed on a UAV "in the field", as well as, generate synthetic but photo-realistic tracking datasets with free ground truth annotations to easily extend existing real-world datasets. Both the benchmark and simulator will be made publicly available to the vision community to further research in the area of object tracking from UAVs. Additionally, we propose a persistent, robust and autonomous object tracking system for unmanned aerial vehicles (UAVs) called Persistent Aerial Tracking (PAT). A computer vision and control strategy is applied to a diverse set of moving objects (e.g. humans, animals, cars, boats, etc.) integrating multiple UAVs with a stabilized RGB camera. A novel strategy is employed to successfully track objects over a long period, by \\'handing over the camera\\' from one UAV to another. We integrate the complete system into an off-the-shelf UAV, and obtain promising results showing the robustness of our solution in real-world aerial scenarios.

  1. Aerial Photography and Imagery, Ortho-Corrected, Hawaii (Big Island) Digital Raster Graphic, Published in 2004, 1:24000 (1in=2000ft) scale, U.S. Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Hardcopy Maps information as...

  2. Aerial Photography and Imagery, Ortho-Corrected, 2005 natural color orthoimagery for alameda county geotiff format, Published in 2005, 1:2400 (1in=200ft) scale, US Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of...

  3. Aerial Photography and Imagery, Ortho-Corrected, naturla color 1-ft orthoinagery for fresno urban area public domain, Published in 2007, 1:4800 (1in=400ft) scale, US Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Orthoimagery information as of...

  4. Aerial Photography and Imagery, Ortho-Corrected, san bernardino urban area natural color orthoimagery 2006, Published in 2006, 1:2400 (1in=200ft) scale, US Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of...

  5. Aerial Photography and Imagery, Ortho-Corrected, NAIP statewide natural color geotiff image tiles, 2005, Published in 2005, 1:12000 (1in=1000ft) scale, US Geological Survey.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:12000 (1in=1000ft) scale, was produced all or in part from Orthoimagery information as...

  6. CERN: an aerial view

    CERN Multimedia

    2004-01-01

    On 30th January, when CERN still resembled a winter wonderland, a helicopter with a photographer on board took off on an aerial tour. One sunny morning at the end of January, when the area was waking up to an overnight snowfall, a helicopter took off from the Meyrin site with a CERN photographer on board. CERN has been the subject of aerial photographs ever since its creation. Although its appearance has changed over the years, the Laboratory has aged well. The aerial photographs taken during its fifty-year history bear witness to its expansion, showing how a handful of buildings and a first accelerator have blossomed into an entire machine complex. Let's take to the skies and have a look at some of the photos taken on this crisp January morning: a sight for sore eyes! In the foreground, Building 40 on the Meyrin site is recognisable from its magnet shape.On the right of the Route de Meyrin (crossing the photo diagonally), next to Point 1, the work on the Globe of Innovation, which got underway at the beg...

  7. Nowitna NWR swan surveys, 1988

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes the results of aerial surveys and a ground species identification survey that was conducted on the Nowitna National Wildlife Refuge in 1988....

  8. Visibility of St Lawrence belugas to aerial photography, estimated by direct observation

    OpenAIRE

    Michael CS Kingsley; Isabelle Gauthier

    2002-01-01

    The depleted population of belugas (Delphinapterus leucas) inhabiting the St Lawrence estuary, Canada, was monitored by periodic photographic aerial surveys. In order to correct counts made on aerial survey film and to obtain an estimate of the true size of the population, the diving behaviour and the visibility from the air of these animals was studied. A Secchi-disk turbidity survey in the belugas’ summer range showed that water clarity varied between 1.5 m and 11.6 m. By studying aerial ph...

  9. DOE/NNSA Aerial Measuring System (AMS): Flying the 'Real' Thing

    Energy Technology Data Exchange (ETDEWEB)

    Craig Lyons

    2011-06-24

    This slide show documents aerial radiation surveys over Japan. Map product is a compilation of daily aerial measuring system missions from the Fukushima Daiichi power plant to 80 km radius. In addition, other flights were conducted over US military bases and the US embassy.

  10. Muskox survey, Nunivak Island

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Aerial survey completed July 1958 is presented with results. Muskox were located and plotted on a map. Animals were also classified by Adult bull, calve, cows and...

  11. Aerial thermography in archaeological prospection: Applications & processing

    Science.gov (United States)

    Cool, Autumn Chrysantha

    Aerial thermography is one of the least utilized archaeological prospection methods, yet it has great potential for detecting anthropogenic anomalies. Thermal infrared radiation is absorbed and reemitted at varying rates by all objects on and within the ground depending upon their density, composition, and moisture content. If an area containing archaeological features is recorded at the moment when their thermal signatures most strongly contrast with that of the surrounding matrix, they can be visually identified in thermal images. Research conducted in the 1960s and 1970s established a few basic rules for conducting thermal survey, but the expense associated with the method deterred most archaeologists from using this technology. Subsequent research was infrequent and almost exclusively appeared in the form of case studies. However, as the current proliferation of unmanned aerial vehicles (UAVs) and compact thermal cameras draws renewed attention to aerial thermography as an attractive and exciting form of survey, it is appropriate and necessary to reevaluate our approach. In this thesis I have taken a two-pronged approach. First, I built upon the groundwork of earlier researchers and created an experiment to explore the impact that different environmental and climatic conditions have on the success or failure of thermal imaging. I constructed a test site designed to mimic a range of archaeological features and imaged it under a variety of conditions to compare and contrast the results. Second, I explored a new method for processing thermal data that I hope will lead to a means of reducing noise and increasing the clarity of thermal images. This step was done as part of a case study so that the effectiveness of the processing method could be evaluated by comparison with the results of other geophysical surveys.

  12. Aerial Images of Alaska's Arctic Coastal Plain; 1948, 1949

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset is comprised of 36 black and white 9x9 inch aerial images of four different study areas on Alaska's Arctic Coastal Plain taken between 1948-1949 and...

  13. Aerial Image of Alaska's Arctic Coastal Plain; 1955

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset is comprised of a single aerial image of a single area on Alaska's Arctic Coastal Plain taken on 21 June 1955 by the U.S. Air Force and obtained from...

  14. Surfzone monitoring using rotary wing unmanned aerial vehicles

    NARCIS (Netherlands)

    Brouwer, R.L.; De Schipper, M.A.; Rynne, P.F.; Graham, F.J.; Reniers, A.J.H.M.; Macmahan, J.H.

    2015-01-01

    This study investigates the potential of rotary wing unmanned aerial vehicles (UAVs) to monitor the surfzone. This paper shows that these UAVs are extremely flexible surveying platforms that can gather nearcontinuous moderate spatial resolution and high temporal resolution imagery from a fixed posit

  15. 1988 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographs taken by NOAA's National Geodetic Survey during 1988 were mosaicked and orthorectified by the Biogeography Branch. The resulting image was used to...

  16. Aerial Photo Single Frames = Frame Level Records for Multiple Agencies: 1937-Present

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4...

  17. Antarctic Flight Line Maps = Map-Line Indexes of Antarctica Aerial Photos: Pre 1950

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Antarctic Fight Line Maps collection is comprised of 1:250,000 scale topographic maps over Antarctica with original hand-drawn flight lines for aerial...

  18. Aerial videography of brant colonies on Yukon Delta NWR in 1995

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Aerial surveys at five black brant colonies on the Yukon-Kuskokwim Delta--KokechikBay (KB), Tutakoke River (TR), Kigigak Island (KI), Baird Inlet Island (BI), and a...

  19. Aerial videography of brant colonies on Yukon Delta NWR in 2001

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Aerial surveys at five black brant colonies on the Yukon-Kuskokwim Delta--Kokechik Bay (KB), Tutakoke River (TR), Kigigak Island (KI), Baird Inlet Island (BI), and a...

  20. Kite aerial photography (KAP) as a tool for field teaching

    DEFF Research Database (Denmark)

    Sander, Lasse

    2014-01-01

    Kite aerial photography (KAP) is proposed as a creative tool for geography field teaching and as a medium to approach the complexity of readily available geodata. The method can be integrated as field experiment, surveying technique or group activity. The acquired aerial images can instantaneously...... be integrated in geographic information systems and used for reflection and discussion. The use of KAP in field teaching aims at conveying spatial perception and observational skills in real environments to later enable students to interpret remotely sensed data from a nadir perspective. KAP thus allows adding...

  1. UNMANNED AERIAL VEHICLE IN CADASTRAL APPLICATIONS

    Directory of Open Access Journals (Sweden)

    M. Manyoky

    2012-09-01

    Full Text Available This paper presents the investigation of UAVs (Unmanned Aerial Vehicles for use in cadastral surveying. Within the scope of a pilot study UAVs were tested for capturing geodata and compared with conventional data acquisition methods for cadastral surveying. Two study sites were therefore surveyed with a tachymeter-GNSS combination as well as a UAV system. The workflows of both methods were investigated and the resulting data were compared with the requirements of Swiss cadastral surveying. Concerning data acquisition and evaluation, the two systems are found to be comparable in terms of time expenditure, accuracy, and completeness. In conclusion, the UAV image orientation proved to be the limiting factor for the obtained accuracy due to the low- cost camera including camera calibration, image quality, and definition of the ground control points (natural or artificial. However, the required level of accuracy for cadastral surveying was reached. The advantage of UAV systems lies in their high flexibility and efficiency in capturing the surface of an area from a low flight altitude. In addition, further information such as orthoimages, elevation models and 3D objects can easily be gained from UAV images. Altogether, this project endorses the benefit of using UAVs in cadastral applications and the new opportunities they provide for cadastral surveying.

  2. Weather effects on aerial snow measurement

    Energy Technology Data Exchange (ETDEWEB)

    Tollan, O.

    1979-01-01

    When aerial snow measurements are carried out, various weather phenomena have influence on the survey operations and the registered gamma radiation values. Among these phenomena are low visibility and wind causing problems to aircraft operations, and temperature inversions which may trap radioactive gases and particles in the air layer near the ground. The pressure and temperature of the air and its humidity influence the gamma radiation field above the ground, and this should be taken into consideration. As some types of weather may cause delays and errors in the snow measurement, it is important for the operators to have a reliable account of the weather situation prior to and during the survey flights. This will reduce the cost of the measurement operation and improve the quality of the collected data.

  3. An automatic high precision registration method between large area aerial images and aerial light detection and ranging data

    Science.gov (United States)

    Du, Q.; Xie, D.; Sun, Y.

    2015-06-01

    The integration of digital aerial photogrammetry and Light Detetion And Ranging (LiDAR) is an inevitable trend in Surveying and Mapping field. We calculate the external orientation elements of images which identical with LiDAR coordinate to realize automatic high precision registration between aerial images and LiDAR data. There are two ways to calculate orientation elements. One is single image spatial resection using image matching 3D points that registered to LiDAR. The other one is Position and Orientation System (POS) data supported aerotriangulation. The high precision registration points are selected as Ground Control Points (GCPs) instead of measuring GCPs manually during aerotriangulation. The registration experiments indicate that the method which registering aerial images and LiDAR points has a great advantage in higher automation and precision compare with manual registration.

  4. NOAA's Coastal Aerial Photography

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — One of the primary missions of the National Ocean Service (NOS) and its predecessor agencies has been to accurately survey the coast of the United States. Beginning...

  5. U. S. Department of Energy Aerial Measuring Systems

    Energy Technology Data Exchange (ETDEWEB)

    J. J. Lease

    1998-10-01

    The Aerial Measuring Systems (AMS) is an aerial surveillance system. This system consists of remote sensing equipment to include radiation detectors; multispectral, thermal, radar, and laser scanners; precision cameras; and electronic imaging and still video systems. This equipment, in varying combinations, is mounted in an airplane or helicopter and flown at different heights in specific patterns to gather various types of data. This system is a key element in the US Department of Energy's (DOE) national emergency response assets. The mission of the AMS program is twofold--first, to respond to emergencies involving radioactive materials by conducting aerial surveys to rapidly track and map the contamination that may exist over a large ground area and second, to conduct routinely scheduled, aerial surveys for environmental monitoring and compliance purposes through the use of credible science and technology. The AMS program evolved from an early program, begun by a predecessor to the DOE--the Atomic Energy Commission--to map the radiation that may have existed within and around the terrestrial environments of DOE facilities, which produced, used, or stored radioactive materials.

  6. Small unmanned aerial vehicles (micro-UAVs, drones) in plant ecology1

    Science.gov (United States)

    Cruzan, Mitchell B.; Weinstein, Ben G.; Grasty, Monica R.; Kohrn, Brendan F.; Hendrickson, Elizabeth C.; Arredondo, Tina M.; Thompson, Pamela G.

    2016-01-01

    Premise of the study: Low-elevation surveys with small aerial drones (micro–unmanned aerial vehicles [UAVs]) may be used for a wide variety of applications in plant ecology, including mapping vegetation over small- to medium-sized regions. We provide an overview of methods and procedures for conducting surveys and illustrate some of these applications. Methods: Aerial images were obtained by flying a small drone along transects over the area of interest. Images were used to create a composite image (orthomosaic) and a digital surface model (DSM). Vegetation classification was conducted manually and using an automated routine. Coverage of an individual species was estimated from aerial images. Results: We created a vegetation map for the entire region from the orthomosaic and DSM, and mapped the density of one species. Comparison of our manual and automated habitat classification confirmed that our mapping methods were accurate. A species with high contrast to the background matrix allowed adequate estimate of its coverage. Discussion: The example surveys demonstrate that small aerial drones are capable of gathering large amounts of information on the distribution of vegetation and individual species with minimal impact to sensitive habitats. Low-elevation aerial surveys have potential for a wide range of applications in plant ecology. PMID:27672518

  7. Archive of post-Hurricane Isabel coastal oblique aerial photographs collected during U.S. Geological Survey Field Activity 03CCH01 from Ocean City, Maryland, to Fort Caswell, North Carolina and Inland from Waynesboro to Redwood, Virginia, September 21 - 23, 2003

    Science.gov (United States)

    Subino, Janice A.; Morgan, Karen L.M.; Krohn, M. Dennis; Dadisman, Shawn V.

    2013-01-01

    On September 21 - 23, 2003, the United States Geological Survey (USGS) conducted an oblique aerial photographic survey along the Atlantic coast from Ocean City, Md., to Fort Caswell, N.C., and inland oblique aerial photographic survey from Waynesboro to Redwood, Va., aboard a Navajo Piper twin-engine airplane. The coastal survey was conducted at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. For the inland photos, the aircraft tried to stay approximately 500 ft above the terrain. These coastal photos were used to document coastal changes like beach erosion and overwash caused by Hurricane Isabel, while the inland photos looked for potential landslides caused by heavy rains. The photos may also be used as baseline data for future coastal change analysis. The USGS and the National Aeronautics and Space Administration (NASA) surveyed the impact zone of Hurricane Isabel to better understand the changes in vulnerability of the Nation’s coasts to extreme storms (Morgan, 2009). This report serves as an archive of photographs collected during the September 21 - 23, 2003, post-Hurricane Isabel coastal and inland oblique aerial survey along with associated survey maps, KML files, navigation files, digital Field Activity Collection System (FACS) logs, and Federal Geographic Data Committee (FGDC) metadata. Refer to the Acronyms page for expansions of all acronyms and abbreviations used in this report. The USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, 03CCH01 tells us the data were collected in 2003 for the Coastal Change Hazards (CCH) study and the data were collected during the first field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the ID number. The photographs provided here are Joint Photographic Experts Group (JPEG

  8. ShoreZone Survey Data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is a point file showing GPS trackline data collected during a ShoreZone aerial imaging survey. This flight trackline is recorded at 1-second intervals...

  9. Nowitna NWR goose surveys, 1988

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Both aerial and river float goose surveys were conducted on the Nowitna NWR in 1988 to document migration chronology and peak numbers and to index production....

  10. VideoQuest: an advanced aerial video exploitation and management system

    Science.gov (United States)

    Cheng, Hui; Butler, Darren; Meng, Chris; Kover, Thomas; Padmanabhan, Gopi; Krakower, Ron

    2007-10-01

    Today, a large number of videos are collected using aerial platforms. These videos are used for various applications from agriculture surveys to disaster response, from surveillance and security to intelligence gathering. As the amount of aerial video increases, there is a need for systematic exploitation and effective management of the large aerial videos database. In this paper, we will introduce VideoQuest, an advanced aerial video exploitation and management system that provides real-time aerial video enhancement, archiving, indexing and analysis capabilities such as sensor metadata enhancement, moving target detection and tracking and event detection. To effectively and efficiently utilize archived aerial videos, VideoQuest also provides spatial, temporal and content based indexing. To quickly retrieve videos in a large-scale video database, the system summarizes aerial video hierarchically and based on content, such as objects, tracks and events extracted from videos. Additionally, VideoQuest allows user to interactively search and browse A large aerial video database through a "virtual fly control" GUI that dynamically assembles visual information according to user's needs. Using the VideoQeust system, a user can search and retrieve mission-relevant information several magnitudes faster than without using our system.

  11. Comparing Manned Aerial Surveys to Unmanned Aerial Surveys for Cetacean Monitoring in the Arctic: Field Report

    Science.gov (United States)

    2015-01-01

    periods, and areas, thereby minimizing risks to human life, reducing disturbance to wildlife, and possibly decreasing the logistical complexity...camera payload, were responsible for most logistics for the field project, and conducted UAS flights to collect imagery between August 26 and September...offshore and entered the transit corridor inbound for recovery at NARL. The ASAMM field team provided the manned aircraft support for the project

  12. Low-altitude aerial imagery obtained with unmanned aerial systems (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (JPEG images)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset contains images obtained from unmanned aerial systems (UAS) flown in the Cape Cod National Seashore. The objective of the field work was to evaluate the...

  13. A Review on Current and Emerging Application Possibilities for Unmanned Aerial Vehicles

    OpenAIRE

    Beloev Ivan H.

    2016-01-01

    This paper presents a review on current and emerging application possibilities for unmanned aerial vehicles (UAVs). The introduction section of the paper briefly describes some of the application areas in which drones are currently being used. The next chapters of the paper describe more detailly the use of UAVs for aerial photography, filming, security and logistics, GIS, land and water surveys. The main focus of the last chapters is on the advantages and the disadvantages of the drones usag...

  14. 1936 Harding County AG Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  15. 1947 Bernalillo County DFC Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  16. 1949 Roosevelt County CIK Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  17. Officials: Aerial Spraying Working Against Miami Mosquitoes

    Science.gov (United States)

    ... 160274.html Officials: Aerial Spraying Working Against Miami Mosquitoes The insects are to blame for first cases ... 2016 (HealthDay News) -- Aerial spraying is killing many mosquitoes in a part of Miami where the insects ...

  18. 1950 Pecos River CIII Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  19. 1947 Sandoval County DFD Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  20. 1955 Lea County DHO Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  1. 1947 Sierra County DEZ Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  2. 1944 AAF 661 Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  3. 1946 Penasco DDQ Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  4. 1943 AAF 394 Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  5. 1954 Lea County DHO Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  6. 1944 AAF 649 Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  7. 1936 Curry County AG Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  8. 1946 Macho Border DDO Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  9. Dynamics of aerial target pursuit

    Science.gov (United States)

    Pal, S.

    2015-12-01

    During pursuit and predation, aerial species engage in multitasking behavior that involve simultaneous target detection, tracking, decision-making, approach and capture. The mobility of the pursuer and the target in a three dimensional environment during predation makes the capture task highly complex. Many researchers have studied and analyzed prey capture dynamics in different aerial species such as insects and bats. This article focuses on reviewing the capture strategies adopted by these species while relying on different sensory variables (vision and acoustics) for navigation. In conclusion, the neural basis of these capture strategies and some applications of these strategies in bio-inspired navigation and control of engineered systems are discussed.

  10. Precision wildlife monitoring using unmanned aerial vehicles

    Science.gov (United States)

    Hodgson, Jarrod C.; Baylis, Shane M.; Mott, Rowan; Herrod, Ashley; Clarke, Rohan H.

    2016-03-01

    Unmanned aerial vehicles (UAVs) represent a new frontier in environmental research. Their use has the potential to revolutionise the field if they prove capable of improving data quality or the ease with which data are collected beyond traditional methods. We apply UAV technology to wildlife monitoring in tropical and polar environments and demonstrate that UAV-derived counts of colony nesting birds are an order of magnitude more precise than traditional ground counts. The increased count precision afforded by UAVs, along with their ability to survey hard-to-reach populations and places, will likely drive many wildlife monitoring projects that rely on population counts to transition from traditional methods to UAV technology. Careful consideration will be required to ensure the coherence of historic data sets with new UAV-derived data and we propose a method for determining the number of duplicated (concurrent UAV and ground counts) sampling points needed to achieve data compatibility.

  11. Precision wildlife monitoring using unmanned aerial vehicles.

    Science.gov (United States)

    Hodgson, Jarrod C; Baylis, Shane M; Mott, Rowan; Herrod, Ashley; Clarke, Rohan H

    2016-03-17

    Unmanned aerial vehicles (UAVs) represent a new frontier in environmental research. Their use has the potential to revolutionise the field if they prove capable of improving data quality or the ease with which data are collected beyond traditional methods. We apply UAV technology to wildlife monitoring in tropical and polar environments and demonstrate that UAV-derived counts of colony nesting birds are an order of magnitude more precise than traditional ground counts. The increased count precision afforded by UAVs, along with their ability to survey hard-to-reach populations and places, will likely drive many wildlife monitoring projects that rely on population counts to transition from traditional methods to UAV technology. Careful consideration will be required to ensure the coherence of historic data sets with new UAV-derived data and we propose a method for determining the number of duplicated (concurrent UAV and ground counts) sampling points needed to achieve data compatibility.

  12. Unmanned aerial vehicles: a study of gas turbine application

    OpenAIRE

    Lobik, David P.

    1995-01-01

    A survey of commercially-available gas turbine, spark and compression ignition engines was conducted to evaluate their current and future relative suitability for the DoD's unmanned aerial vehicle (UAV) short and close range program. The effects on performance associated with reducing gas turbine engine size from full scale to UAV dimensions were examined. A small turbo-jet engine (produced in France for remotely piloted vehicles) was procured in order to evaluate what levels of performance, ...

  13. 1970's Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve, St. Croix, USVI

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographs taken by NOAA's National Geodetic Survey during 1977 and 1971 were mosaicked and orthorectified by the Biogeography Program resulting in a single...

  14. 1988 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve, St. Croix, USVI

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographs taken by NOAA's National Geodetic Survey during 1988 were mosaicked and orthorectified by the Biogeography Program. The resulting image was used...

  15. 2000 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve, St. Croix, USVI

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographs taken by NOAA's National Geodetic Survey during 2000 were mosaicked and orthorectified by the Biogeography Program. The resulting image was used...

  16. 1992 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve, St. Croix, USVI

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographs taken by NOAA's National Geodetic Survey during 1992 were mosaicked and orthorectified by the Biogeography Program. The resulting image was used...

  17. 1970's Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial photographs taken by NOAA's National Geodetic Survey during 1977 and 1971 were mosaicked and orthorectified by the Biogeography Branch resulting in a single...

  18. 47 CFR 32.2421 - Aerial cable.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 2 2010-10-01 2010-10-01 false Aerial cable. 32.2421 Section 32.2421... FOR TELECOMMUNICATIONS COMPANIES Instructions for Balance Sheet Accounts § 32.2421 Aerial cable. (a) This account shall include the original cost of aerial cable and of drop and block wires served by...

  19. Can reliable sage-grouse lek counts be obtained using aerial infrared technology

    Science.gov (United States)

    Gillette, Gifford L.; Coates, Peter S.; Petersen, Steven; Romero, John P.

    2013-01-01

    More effective methods for counting greater sage-grouse (Centrocercus urophasianus) are needed to better assess population trends through enumeration or location of new leks. We describe an aerial infrared technique for conducting sage-grouse lek counts and compare this method with conventional ground-based lek count methods. During the breeding period in 2010 and 2011, we surveyed leks from fixed-winged aircraft using cryogenically cooled mid-wave infrared cameras and surveyed the same leks on the same day from the ground following a standard lek count protocol. We did not detect significant differences in lek counts between surveying techniques. These findings suggest that using a cryogenically cooled mid-wave infrared camera from an aerial platform to conduct lek surveys is an effective alternative technique to conventional ground-based methods, but further research is needed. We discuss multiple advantages to aerial infrared surveys, including counting in remote areas, representing greater spatial variation, and increasing the number of counted leks per season. Aerial infrared lek counts may be a valuable wildlife management tool that releases time and resources for other conservation efforts. Opportunities exist for wildlife professionals to refine and apply aerial infrared techniques to wildlife monitoring programs because of the increasing reliability and affordability of this technology.

  20. Automated Orientation of Aerial Images

    DEFF Research Database (Denmark)

    Høhle, Joachim

    2002-01-01

    Methods for automated orientation of aerial images are presented. They are based on the use of templates, which are derived from existing databases, and area-based matching. The characteristics of available database information and the accuracy requirements for map compilation and orthoimage...

  1. Automated recognition of forest patterns using aerial photographs

    Science.gov (United States)

    Barbezat, Vincent; Kreiss, Philippe; Sulzmann, Armin; Jacot, Jacques

    1996-12-01

    In Switzerland, aerial photos are indispensable tools for research into ecosystems and their management. Every six years since 1950, the whole of Switzerland has been systematically surveyed by aerial photos. In the forestry field, these documents not only provide invaluable information but also give support to field activities such as the drawing up of tree population maps, intervention planning, precise positioning of the upper forest limit, evaluation of forest damage and rates of tree growth. Up to now, the analysis of aerial photos has been carried out by specialists who painstakingly examine every photograph, which makes it a very long, exacting and expensive job. The IMT-DMT of the EPFL and Antenne romande of FNP, aware of the special interest involved and the necessity of automated classification of aerial photos, have pooled their resources to develop a software program capable of differentiating between single trees, copses and dense forests. The developed algorithms detect the crowns of the trees and the surface of the orthogonal projection. Form the shadow of each tree they calculate its height. They also determine the position of the tree in the Swiss national coordinate thanks to the implementation of a numeric altitude model. For the future, we have the prospect of many new and better uses of aerial photos being available to us, particularly where isolated stands are concerned and also when evolutions based on a diachronic series of photos have to be assessed: from timberline monitoring in the research on global change to the exploitation of wooded pastures on small surface areas.

  2. Groupwise registration of aerial images

    OpenAIRE

    Arandjelovic, Ognjen; Pham, Duc-Son; Venkatesh, Svetha

    2015-01-01

    This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image understanding applications. The principal challenge lies in the extent and nature of transient appearance variation that a land area can undergo, such as that caused by the change in illumination conditions, seasonal variations, or the occlusion by non-persistent objects (people, cars). Our work introduces several n...

  3. Aerial Refueling Clearance Initiation Request

    Science.gov (United States)

    2016-07-14

    8. Material Tiiie 6. E-mail Address derek.feiwerda@uavy.mil Aerial Refueling Clearance Initiation Request 9. List all contributing organizations...and obtain Public Retease Authorization from the commnnd(s) contributing to this material. I have reviewed all the applicable security classification...AUTHOR(S) Hewitt, Keith; Graham, Jessica; Swiderek, Thomas; Kalt, Dexter; ARSAG Working Group 5 Participants 5d. PROJECT NUMBER N/A 5e. TASK NUMBER N

  4. Telemetry of Aerial Radiological Measurements

    Energy Technology Data Exchange (ETDEWEB)

    H. W. Clark, Jr.

    2002-10-01

    Telemetry has been added to National Nuclear Security Administration's (NNSA's) Aerial Measuring System (AMS) Incident Response aircraft to accelerate availability of aerial radiological mapping data. Rapid aerial radiological mapping is promptly performed by AMS Incident Response aircraft in the event of a major radiological dispersal. The AMS airplane flies the entire potentially affected area, plus a generous margin, to provide a quick look at the extent and severity of the event. The primary result of the AMS Incident Response over flight is a map of estimated exposure rate on the ground along the flight path. Formerly, it was necessary to wait for the airplane to land before the map could be seen. Now, while the flight is still in progress, data are relayed via satellite directly from the aircraft to an operations center, where they are displayed and disseminated. This permits more timely utilization of results by decision makers and redirection of the mission to optimize its value. The current telemetry capability can cover all of North America. Extension to a global capability is under consideration.

  5. THE DRONES ARE COMING. WHAT TO CHOOSE? LOW AND MEDIUM ALTITUDE AERIAL ARCHAEOLOGY ON LIMES TRANSALUTANUS.

    Directory of Open Access Journals (Sweden)

    Dan Ștefan

    2016-07-01

    Full Text Available Aerial archaeology has more than one century of tradition as a valuable research method. Like archaeology, the aerial reconnaissance is undergoing dynamic changes. The field must face the profound conceptual challenges raised by the evolving demands of archaeologists. In addition, aerial archaeology has to adapt its own methods in order to constantly incorporate new technologies such as: thermal vision, LiDAR and also advanced photogrammetry processing techniques. One of the greatest challenges and promising perspectives for evolution of the field is the arriving and rapidly spreading of small remote controlled aerial vehicles (UAVs – Unmanned Aerial Vehicles, known also as drones. However, a real development of the UAVs based aerial archaeology’s branch is conditioned by the availability of special tailored aerial vehicles for archaeologist’s needs. Unfortunately, the time has not yet come for this, while the major efforts in drones development is spent for aerial videography applications, surveillance and general entertainment. The implementation of a research project, dedicated to the longest built sector of the Roman limes in Dacia – Limes Transalutanus, represented for the authors a suitable occasion to assess the possibilities and limits of the large scale aerial archaeology based on UAVs. On the occasion there were tested two custom flying platforms and one commercial, multiple flight strategies and several processing algorithms. The linear nature and the extent of the site (basically a corridor of 157 km in length called for distinct augmentation of equipment and survey workflows, with applicability in ‘corridor’ archaeological projects like those for highways and utilities networks.

  6. Aerial Photography and Imagery, Uncorrected, historic aerial imagery; 1931-1990, Published in 2006, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Uncorrected dataset, was produced all or in part from Hardcopy Maps information as of 2006. It is described as 'historic aerial...

  7. Dropsonde System for Unmanned Aerial Vehicles Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Unmanned Aerial Vehicles (UAVs) are assuming more numerous and increasingly important roles in global environmental and atmospheric research. There is a...

  8. Survey of waterfowl populations and habitat on Nelson Island, Alaska: Progress report

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report is a progress report on the survey of waterfowl populations and habitat on Nelson Island in Alaska. Aerial surveys and ground surveys are covered....

  9. Independent transect point locations (coordinates only) associated with images collected during unmanned aerial systems (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (Text file)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset contains the locations of independent survey points acquired on the same day that images were obtained from unmanned aerial systems (UAS) flown in the...

  10. Nowitna River goose survey, 1986

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — An aerial goose survey of the upper Nowitna River and a river-floating goose brood survey of the upper Nowitna River were conducted May 27th through July 5th of...

  11. The Art of Aerial Warfare

    Science.gov (United States)

    2005-03-01

    the  Strait  of  Gibraltar   from  North  Africa  during  the Spanish Civil War. 11 FAIRCHILD PAPER A Comparison of Aerial Warfare to Land... Hitler , for example, the United States cannot assume that Nazi aggression would have  evaporated  instantly. Although  Hitler himself profoundly affected

  12. Unmanned aerial vehicles in astronomy

    Science.gov (United States)

    Biondi, Federico; Magrin, Demetrio; Ragazzoni, Roberto; Farinato, Jacopo; Greggio, Davide; Dima, Marco; Gullieuszik, Marco; Bergomi, Maria; Carolo, Elena; Marafatto, Luca; Portaluri, Elisa

    2016-07-01

    In this work we discuss some options for using Unmanned Aerial Vehicles (UAVs) for daylight alignment activities and maintenance of optical telescopes, relating them to a small numbers of parameters, and tracing which could be the schemes, requirements and benefits for employing them both at the stage of erection and maintenance. UAVs can easily reach the auto-collimation points of optical components of the next class of Extremely Large Telescopes. They can be equipped with tools for the measurement of the co-phasing, scattering, and reflectivity of segmented mirrors or environmental parameters like C2n and C2T to characterize the seeing during both the day and the night.

  13. Measurements from an Aerial Vehicle: A New Tool for Planetary Exploration

    Science.gov (United States)

    Wright, Henry S.; Levine, Joel S.; Croom, Mark A.; Edwards, William C.; Qualls, Garry D.; Gasbarre, Joseph F.

    2004-01-01

    Aerial vehicles fill a unique planetary science measurement gap, that of regional-scale, near-surface observation, while providing a fresh perspective for potential discovery. Aerial vehicles used in planetary exploration bridge the scale and resolution measurement gaps between orbiters (global perspective with limited spatial resolution) and landers (local perspective with high spatial resolution) thus complementing and extending orbital and landed measurements. Planetary aerial vehicles can also survey scientifically interesting terrain that is inaccessible or hazardous to landed missions. The use of aerial assets for performing observations on Mars, Titan, or Venus will enable direct measurements and direct follow-ons to recent discoveries. Aerial vehicles can be used for remote sensing of the interior, surface and atmosphere of Mars, Venus and Titan. Types of aerial vehicles considered are airplane "heavier than air" and airships and balloons "lighter than air". Interdependencies between the science measurements, science goals and objectives, and platform implementation illustrate how the proper balance of science, engineering, and cost, can be achieved to allow for a successful mission. Classification of measurement types along with how those measurements resolve science questions and how these instruments are accommodated within the mission context are discussed.

  14. Automatic Sea Bird Detection from High Resolution Aerial Imagery

    Science.gov (United States)

    Mader, S.; Grenzdörffer, G. J.

    2016-06-01

    Great efforts are presently taken in the scientific community to develop computerized and (fully) automated image processing methods allowing for an efficient and automatic monitoring of sea birds and marine mammals in ever-growing amounts of aerial imagery. Currently the major part of the processing, however, is still conducted by especially trained professionals, visually examining the images and detecting and classifying the requested subjects. This is a very tedious task, particularly when the rate of void images regularly exceeds the mark of 90%. In the content of this contribution we will present our work aiming to support the processing of aerial images by modern methods from the field of image processing. We will especially focus on the combination of local, region-based feature detection and piecewise global image segmentation for automatic detection of different sea bird species. Large image dimensions resulting from the use of medium and large-format digital cameras in aerial surveys inhibit the applicability of image processing methods based on global operations. In order to efficiently handle those image sizes and to nevertheless take advantage of globally operating segmentation algorithms, we will describe the combined usage of a simple performant feature detector based on local operations on the original image with a complex global segmentation algorithm operating on extracted sub-images. The resulting exact segmentation of possible candidates then serves as a basis for the determination of feature vectors for subsequent elimination of false candidates and for classification tasks.

  15. Aerial monitoring in active mud volcano by UAV technique

    Science.gov (United States)

    Pisciotta, Antonino; Capasso, Giorgio; Madonia, Paolo

    2016-04-01

    UAV photogrammetry opens various new applications in the close range domain, combining aerial and terrestrial photogrammetry, but also introduces low-cost alternatives to the classical manned aerial photogrammetry. Between 2014 and 2015 tree aerial surveys have been carried out. Using a quadrotor drone, equipped with a compact camera, it was possible to generate high resolution elevation models and orthoimages of The "Salinelle", an active mud volcanoes area, located in territory of Paternò (South Italy). The main risks are related to the damages produced by paroxysmal events. Mud volcanoes show different cyclic phases of activity, including catastrophic events and periods of relative quiescence characterized by moderate activity. Ejected materials often are a mud slurry of fine solids suspended in liquids which may include water and hydrocarbon fluids, the bulk of released gases are carbon dioxide, with some methane and nitrogen, usually pond-shaped of variable dimension (from centimeters to meters in diameter). The scope of the presented work is the performance evaluation of a UAV system that was built to rapidly and autonomously acquire mobile three-dimensional (3D) mapping data in a volcanic monitoring scenario.

  16. High resolution channel geometry from repeat aerial imagery

    Science.gov (United States)

    King, T.; Neilson, B. T.; Jensen, A.; Torres-Rua, A. F.; Winkelaar, M.; Rasmussen, M. T.

    2015-12-01

    River channel cross sectional geometry is a key attribute for controlling the river energy balances where surface heat fluxes dominate and discharge varies significantly over short time periods throughout the open water season. These dynamics are seen in higher gradient portions of Arctic rivers where surface heat fluxes can dominates river energy balances and low hillslope storage produce rapidly varying hydrographs. Additionally, arctic river geometry can be highly dynamic in the face of thermal erosion of permafrost landscape. While direct in-situ measurements of channel cross sectional geometry are accurate, they are limited in spatial resolution and coverage, and can be access limited in remote areas. Remote sensing can help gather data at high spatial resolutions and large areas, however techniques for extracting channel geometry is often limited to the banks and flood plains adjacent to river, as the water column inhibits sensing of the river bed itself. Green light LiDAR can be used to map bathymetry, however this is expensive, difficult to obtain at large spatial scales, and dependent on water quality. Alternatively, 3D photogrammetry from aerial imagery can be used to analyze the non-wetted portion of the river channel, but extracting full cross sections requires extrapolation into the wetted portion of the river. To bridge these gaps, an approach for using repeat aerial imagery surveys with visual (RGB) and near infrared (NIR) to extract high resolution channel geometry for the Kuparuk River in the Alaskan Arctic was developed. Aerial imagery surveys were conducted under multiple flow conditions and water surface geometry (elevation and width) were extracted through photogrammetry. Channel geometry was extracted by combining water surface widths and elevations from multiple flights. The accuracy of these results were compared against field surveyed cross sections at many locations throughout the study reach and a digital elevation model created under

  17. Modeling the Seasonal Ice Zone from the Air: use of repeat aerial hydrographic surveys to constrain a regional ice-ocean model in an area of rapidly evolving ice cover

    Science.gov (United States)

    Dewey, S.; Morison, J.; Zhang, J.

    2015-12-01

    The Seasonal Ice Zone of the Beaufort Sea is the area of ocean north of Alaska over which sea ice melts and reforms annually. It contains the more narrow, near-edge marginal ice zone (MIZ). Seasonal Ice Zone Reconnaissance Surveys (SIZRS) measure hydrography along two meridional sections using Air eXpendable CTDs (AXCTDs) and Air eXpendable Current Profilers (AXCPs). These surveys take place aboard U.S. Coast Guard Arctic Domain Awareness flights of opportunity during each melt season (June-October) starting in 2012. The Marginal Ice Zone Modeling and Assimilation System (MIZMAS) is a high-resolution regional ice-ocean model with daily, three-dimensional output encompassing the SIZRS survey area. Direct comparison of the SIZRS data with MIZMAS output as well as with several regional climatologies can constrain the ice-ocean model and help to explain recent changes in subsurface heat content and salinity. For example, observed freshening relative to climatology has been used as a reference to which MIZMAS surface salinity values can be relaxed. MIZMAS may in turn shed light on the physical mechanisms driving the observed freshening. In addition, use of MIZMAS surface fluxes to drive a one-dimensional mixed layer model gives results close to observations when the model is initialized with SIZRS profiles. Because SIZRS observations range in time from the onset of melt to the onset of Fall freeze-up, the comparison of the one-dimensional model with MIZMAS illustrates the relative roles of local and regional processes in forming near-surface temperature maxima and salinity minima. The SIZRS observations and one-dimensional model are used to constrain MIZMAS estimations of stored subsurface heat while establishing the physical drivers of these temperature and salinity changes.

  18. Aerial service robotics: the AIRobots perspective

    NARCIS (Netherlands)

    Marconi, L.; Basile, F.; Caprari, G.; Carloni, R.; Chiacchio, P.; Hurzeler, C.; Lippiello, V.; Naldi, R.; Siciliano, B.; Stramigioli, S.; Zwicker, E.

    2012-01-01

    This paper presents the main vision and research activities of the ongoing European project AIRobots (Innova- tive Aerial Service Robot for Remote Inspection by Contact, www.airobots.eu). The goal of AIRobots is to develop a new generation of aerial service robots capable of supporting human beings

  19. Approximate Dynamic Programming and Aerial Refueling

    Science.gov (United States)

    2007-06-01

    were values derived from “AFPAM 10-1403, AIR MOBILITY PLANNING FACTORS” used by the US Air Force when making gross calculations of aerial refueling...Aerial Refueling. U.S. Centennial of Flight Commision. centennialofflight.gov/essay/EvolutionofT echnology /refueling?Tech22.htm. 20003. 5 [6] DOD Needs

  20. Digital elevation model and orthophotographs of Greenland based on aerial photographs from 1978-1987

    DEFF Research Database (Denmark)

    Korsgaard, Niels J.; Nuth, Christopher; Khan, Shfaqat Abbas;

    2016-01-01

    in general. We present a historical medium-resolution DEM and orthophotographs that consistently cover the entire surroundings and margins of the Greenland Ice Sheet 1978-1987. About 3,500 aerial photographs of Greenland are combined with field surveyed geodetic ground control to produce a 25 m gridded DEM...

  1. Experimental evaluation of shark detection rates by aerial observers.

    Directory of Open Access Journals (Sweden)

    William D Robbins

    Full Text Available Aerial surveys are a recognised technique to identify the presence and abundance of marine animals. However, the capability of aerial observers to reliably sight coastal sharks has not been previously assessed, nor have differences in sighting rates between aircraft types been examined. In this study we investigated the ability of observers in fixed-wing and helicopter aircraft to sight 2.5 m artificial shark analogues placed at known depths and positions. Initial tests revealed that the shark analogues could only be detected at shallow depths, averaging only 2.5 m and 2.7 m below the water surface for observers in fixed-wing and helicopter aircraft, respectively. We then deployed analogues at shallower depths along a 5 km-long grid, and assessed their sightability to aircraft observers through a series of transects flown within 500 m. Analogues were seen infrequently from all distances, with overall sighting rates of only 12.5% and 17.1% for fixed-wing and helicopter observers, respectively. Although helicopter observers had consistently higher success rates of sighting analogues within 250 m of their flight path, neither aircraft observers sighted more than 9% of analogues deployed over 300 m from their flight paths. Modelling of sighting rates against environmental and experimental variables indicated that observations were affected by distance, aircraft type, sun glare and sea conditions, while the range of water turbidities observed had no effect. We conclude that aerial observers have limited ability to detect the presence of submerged animals such as sharks, particularly when the sharks are deeper than ∼ 2.6 m, or over 300 m distant from the aircraft's flight path, especially during sunny or windy days. The low rates of detections found in this study cast serious doubts on the use of aerial beach patrols as an effective early-warning system to prevent shark attacks.

  2. Experimental evaluation of shark detection rates by aerial observers.

    Science.gov (United States)

    Robbins, William D; Peddemors, Victor M; Kennelly, Steven J; Ives, Matthew C

    2014-01-01

    Aerial surveys are a recognised technique to identify the presence and abundance of marine animals. However, the capability of aerial observers to reliably sight coastal sharks has not been previously assessed, nor have differences in sighting rates between aircraft types been examined. In this study we investigated the ability of observers in fixed-wing and helicopter aircraft to sight 2.5 m artificial shark analogues placed at known depths and positions. Initial tests revealed that the shark analogues could only be detected at shallow depths, averaging only 2.5 m and 2.7 m below the water surface for observers in fixed-wing and helicopter aircraft, respectively. We then deployed analogues at shallower depths along a 5 km-long grid, and assessed their sightability to aircraft observers through a series of transects flown within 500 m. Analogues were seen infrequently from all distances, with overall sighting rates of only 12.5% and 17.1% for fixed-wing and helicopter observers, respectively. Although helicopter observers had consistently higher success rates of sighting analogues within 250 m of their flight path, neither aircraft observers sighted more than 9% of analogues deployed over 300 m from their flight paths. Modelling of sighting rates against environmental and experimental variables indicated that observations were affected by distance, aircraft type, sun glare and sea conditions, while the range of water turbidities observed had no effect. We conclude that aerial observers have limited ability to detect the presence of submerged animals such as sharks, particularly when the sharks are deeper than ∼ 2.6 m, or over 300 m distant from the aircraft's flight path, especially during sunny or windy days. The low rates of detections found in this study cast serious doubts on the use of aerial beach patrols as an effective early-warning system to prevent shark attacks.

  3. Exploring of Legal Basis for Administration of Aerial Photogrammetry%航空摄影统一监管法律基础探讨

    Institute of Scientific and Technical Information of China (English)

    阮于洲

    2011-01-01

    关于航空摄影是否是测绘活动,以及测绘部门是否应将航空摄影纳入测绘统一监管的范畴,目前有不同的认识。本文明确了航空摄影是一种重要的测绘活动,从而论述了测绘部门对航空摄影实施统一监管的法律基础。%Whether aerial photogrammetry is Surveying and Mapping activity,and whether it is the responsibility of Surveying and Mapping Department to supervise and administrate aerial photogrammetry,there exists different viewpoints.This paper definitudes that aerial photogrammetry is kind of important Surveying and Mapping activity,and that Surveying and Mapping Departments have adequate gists to supervise and administrate aerial photogrammetry.

  4. Analysis of an Unmanned Aerial Vehicle Monitoring System for Resurveying of Shipping Routes

    Directory of Open Access Journals (Sweden)

    Urbahs Aleksandrs

    2016-12-01

    Full Text Available The paper gives brief description of the conventional and innovative hydrography survey methods and constraints connected with the realization. Proposed hydrographic survey system based on the use of Unmanned Aerial and Maritime systems provides functionality to conduct hydrographic measurements and environment monitoring. System can be easily adapted to fulfil marine safety and security operations, e.g. intrusion threat monitoring, hazardous pollutions monitoring and prevention operations, icing conditions monitoring.

  5. Bespilotne letjelice : Unmanned aerial vehicles

    Directory of Open Access Journals (Sweden)

    Vlado Jurić

    2016-12-01

    Full Text Available Bespilotne letjelice imaju širok spektar uporabe, i svrha im svakim danom sve više dobiva na značaju. Konstrukcija im se poboljšava, pronalaze se materijali koji su optimalniji za obavljanje funkcija s kojima se trebaju suočiti. Pravna regulativa za bespilotne letjelice do 150 kg težine na polijetanju (MTOW se razlikuje od države do države. : Unmanned aerial vehicles have a wide range of applications, and their purpose is every day more important. Construction has been improving, finding the materials that are optimal for carrying out the functions which need to be cope with. Legal regulations for unmanned aircrafts up to 150 kg take-off weight (MTOW varies from country to country.

  6. Handbook of unmanned aerial vehicles

    CERN Document Server

    Vachtsevanos, George

    2015-01-01

    The Handbook of Unmanned Aerial Vehicles is a reference text for the academic and research communities, industry, manufacturers, users, practitioners, Federal Government, Federal and State Agencies, the private sector, as well as all organizations that are and will be using unmanned aircraft in a wide spectrum of applications. The Handbook covers all aspects of UAVs, from design to logistics and ethical issues. It is also targeting the young investigator, the future inventor and entrepreneur by providing an overview and detailed information of the state-of-the-art as well as useful new concepts that may lead to innovative research. The contents of the Handbook include material that addresses the needs and ‘know how’ of all of the above sectors targeting a very diverse audience. The Handbook offers a unique and comprehensive treatise of everything one needs to know about unmanned aircrafts, from conception to operation, from technologies to business activities, users, OEMs, reference sources, conferences, ...

  7. MEMS Based Micro Aerial Vehicles

    Science.gov (United States)

    Joshi, Niranjan; Köhler, Elof; Enoksson, Peter

    2016-10-01

    Designing a flapping wing insect robot requires understanding of insect flight mechanisms, wing kinematics and aerodynamic forces. These subsystems are interconnected and their dependence on one another affects the overall performance. Additionally it requires an artificial muscle like actuator and transmission to power the wings. Several kinds of actuators and mechanisms are candidates for this application with their own strengths and weaknesses. This article provides an overview of the insect scaled flight mechanism along with discussion of various methods to achieve the Micro Aerial Vehicle (MAV) flight. Ongoing projects in Chalmers is aimed at developing a low cost and low manufacturing time MAV. The MAV design considerations and design specifications are mentioned. The wings are manufactured using 3D printed carbon fiber and are under experimental study.

  8. Marker Detection in Aerial Images

    KAUST Repository

    Alharbi, Yazeed

    2017-04-09

    The problem that the thesis is trying to solve is the detection of small markers in high-resolution aerial images. Given a high-resolution image, the goal is to return the pixel coordinates corresponding to the center of the marker in the image. The marker has the shape of two triangles sharing a vertex in the middle, and it occupies no more than 0.01% of the image size. An improvement on the Histogram of Oriented Gradients (HOG) is proposed, eliminating the majority of baseline HOG false positives for marker detection. The improvement is guided by the observation that standard HOG description struggles to separate markers from negatives patches containing an X shape. The proposed method alters intensities with the aim of altering gradients. The intensity-dependent gradient alteration leads to more separation between filled and unfilled shapes. The improvement is used in a two-stage algorithm to achieve high recall and high precision in detection of markers in aerial images. In the first stage, two classifiers are used: one to quickly eliminate most of the uninteresting parts of the image, and one to carefully select the marker among the remaining interesting regions. Interesting regions are selected by scanning the image with a fast classifier trained on the HOG features of markers in all rotations and scales. The next classifier is more precise and uses our method to eliminate the majority of the false positives of standard HOG. In the second stage, detected markers are tracked forward and backward in time. Tracking is needed to detect extremely blurred or distorted markers that are missed by the previous stage. The algorithm achieves 94% recall with minimal user guidance. An average of 30 guesses are given per image; the user verifies for each whether it is a marker or not. The brute force approach would return 100,000 guesses per image.

  9. The DOE ARM Aerial Facility

    Energy Technology Data Exchange (ETDEWEB)

    Schmid, Beat; Tomlinson, Jason M.; Hubbe, John M.; Comstock, Jennifer M.; Mei, Fan; Chand, Duli; Pekour, Mikhail S.; Kluzek, Celine D.; Andrews, Elisabeth; Biraud, S.; McFarquhar, Greg

    2014-05-01

    The Department of Energy Atmospheric Radiation Measurement (ARM) Program is a climate research user facility operating stationary ground sites that provide long-term measurements of climate relevant properties, mobile ground- and ship-based facilities to conduct shorter field campaigns (6-12 months), and the ARM Aerial Facility (AAF). The airborne observations acquired by the AAF enhance the surface-based ARM measurements by providing high-resolution in-situ measurements for process understanding, retrieval-algorithm development, and model evaluation that are not possible using ground- or satellite-based techniques. Several ARM aerial efforts were consolidated into the AAF in 2006. With the exception of a small aircraft used for routine measurements of aerosols and carbon cycle gases, AAF at the time had no dedicated aircraft and only a small number of instruments at its disposal. In this "virtual hangar" mode, AAF successfully carried out several missions contracting with organizations and investigators who provided their research aircraft and instrumentation. In 2009, AAF started managing operations of the Battelle-owned Gulfstream I (G-1) large twin-turboprop research aircraft. Furthermore, the American Recovery and Reinvestment Act of 2009 provided funding for the procurement of over twenty new instruments to be used aboard the G-1 and other AAF virtual-hangar aircraft. AAF now executes missions in the virtual- and real-hangar mode producing freely available datasets for studying aerosol, cloud, and radiative processes in the atmosphere. AAF is also engaged in the maturation and testing of newly developed airborne sensors to help foster the next generation of airborne instruments.

  10. Low-cost, on-demand aerial photogrammetry for glaciological measurement

    Directory of Open Access Journals (Sweden)

    K. Whitehead

    2013-06-01

    Full Text Available Remotely-sensed glaciological measurements can be expensive, and often involve a trade-off between resolution, scale, and frequency. In an attempt to overcome these issues we report on a case study in which two low-cost techniques were used to generate orthomosaic images and digital elevation models (DEMs of an arctic glacier in two consecutive ablation seasons. In the first aerial survey we used an unmanned aerial vehicle (UAV and acquired images autonomously, while in the second we used a piloted helicopter and acquired images manually. We present a preliminary assessment of accuracy and apply these data to measure glacier thinning and motion.

  11. 固定翼无人机的航摄工艺及要点分析%Aerial Photography Technology and Key Points Based on Fixed Wing Unmanned Aerial Vehicle

    Institute of Scientific and Technical Information of China (English)

    梁石

    2016-01-01

    UAV (unmanned aerial vehicle)aerial photography is a new aerial photography technology.It uses a small unmanned aerial platform to carry photographic equipment,which obtains efficiency aerial photography image data at low altitude in a small range.The performance and characteristics of fixed wing UAV which is frequently used in current surveying is introduced,the experience of daily operation is summarized and the UAV aerial photographic process and key technology is discussed,which has certain guiding significance to improve the efficiency of daily aerial photography and emergency rapid response.%无人机航摄是一种新兴的航空摄影技术,它利用小型无人飞行平台搭载摄影器材,可低空小范围高效地获取航摄影像数据。据此,对固定翼无人机的性能和特点进行分析,总结日常作业经验,讨论无人机航摄工艺及其技术要点,对提高其在日常航摄和应急快速响应中的效率具有一定指导意义。

  12. 7 CFR 611.21 - Availability of aerial photography.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 6 2010-01-01 2010-01-01 false Availability of aerial photography. 611.21 Section 611... § 611.21 Availability of aerial photography. The National Cartography and Geospatial Center obtains necessary clearance for all aerial photography for NRCS. New aerial photography of designated areas in...

  13. 7 CFR 1755.506 - Aerial wire services

    Science.gov (United States)

    2010-01-01

    ... ft (76 m). (f) To reduce vibration and galloping, aerial service wire shall be twisted one complete... than four aerial service wires shall be distributed from any one 7/16 in. (10 mm) drive hook, or more than two aerial service wires from any one 5/16 in. (8 mm) drive hook. Aerial service wires and...

  14. Beach monitoring using Unmanned Aerial Vehicles: results of a multi-temporal study

    Science.gov (United States)

    Casella, Elisa; Rovere, Alessio; Casella, Marco; Pedroncini, Andrea; Ferrari, Marco; Vacchi, Matteo; Firpo, Marco

    2015-04-01

    The application of Unmanned Aerial Vehicles and photogrammetry techniques in earth sciences is flourishing. In this study, we show how we applied small Unmanned Aerial Vehicles to the study of topographic changes of a beach in Italy, NW Mediterranean Sea. We surveyed the same stretch of coastline three times in 5 months, obtaining ortophotos and digital elevation models of the beach using a structure from motion approach. We then calculated the difference in beach topography between each time step, and we related topography changes to both human and natural modifications of the beach morphology that can be inferred from aerial photos or wave data. We conclude that small drones have the potential to open new possibilities for beach monitoring studies, and can be successfully employed for multi-temporal monitoring studies at relatively low cost.

  15. Critical Assessment of Object Segmentation in Aerial Image Using Geo-Hausdorff Distance

    Science.gov (United States)

    Sun, H.; Ding, Y.; Huang, Y.; Wang, G.

    2016-06-01

    Aerial Image records the large-range earth objects with the ever-improving spatial and radiometric resolution. It becomes a powerful tool for earth observation, land-coverage survey, geographical census, etc., and helps delineating the boundary of different kinds of objects on the earth both manually and automatically. In light of the geo-spatial correspondence between the pixel locations of aerial image and the spatial coordinates of ground objects, there is an increasing need of super-pixel segmentation and high-accuracy positioning of objects in aerial image. Besides the commercial software package of eCognition and ENVI, many algorithms have also been developed in the literature to segment objects of aerial images. But how to evaluate the segmentation results remains a challenge, especially in the context of the geo-spatial correspondence. The Geo-Hausdorff Distance (GHD) is proposed to measure the geo-spatial distance between the results of various object segmentation that can be done with the manual ground truth or with the automatic algorithms.Based on the early-breaking and random-sampling design, the GHD calculates the geographical Hausdorff distance with nearly-linear complexity. Segmentation results of several state-of-the-art algorithms, including those of the commercial packages, are evaluated with a diverse set of aerial images. They have different signal-to-noise ratio around the object boundaries and are hard to trace correctly even for human operators. The GHD value is analyzed to comprehensively measure the suitability of different object segmentation methods for aerial images of different spatial resolution. By critically assessing the strengths and limitations of the existing algorithms, the paper provides valuable insight and guideline for extensive research in automating object detection and classification of aerial image in the nation-wide geographic census. It is also promising for the optimal design of operational specification of remote

  16. Dropsonde System for Unmanned Aerial Vehicles Project

    Data.gov (United States)

    National Aeronautics and Space Administration — A small, modular dropsonde launcher is being developed for Unmanned Aerial Vehicles (UAVs). Some critical measurement needs can only be satisfied by in-situ...

  17. Rangeland monitoring with unmanned aerial vehicles (UAVs)

    Science.gov (United States)

    Unmanned aerial vehicles (UAVs) have great potential for rangeland management applications, such as monitoring vegetation change, developing grazing strategies, determining rangeland health, and assessing remediation treatment effectiveness. UAVs have several advantages: they can be deployed quickly...

  18. Douglas County Historical Rectified Aerial Photos 1954

    Data.gov (United States)

    Kansas Data Access and Support Center — This raster dataset consists of approximately 200 aerial photographs taken in 1954 in Douglas county, Kansas, United States. The Douglas County Public Works...

  19. Douglas County Historical Rectified Aerial Photos 1937

    Data.gov (United States)

    Kansas Data Access and Support Center — This raster dataset consists of approximately 200 aerial photographs taken in 1937 in Douglas county, Kansas, United States. The Douglas County Public Works...

  20. Coverage for SCS Pre-1941 Aerial Photography

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This shapefile was generated by the U.S. Bureau of Land Management (BLM) at the New Mexico State Office to show the coverage for the Pre-1941 aerial photography...

  1. Persistent Aerial Tracking system for UAVs

    KAUST Repository

    Mueller, Matthias

    2016-12-19

    In this paper, we propose a persistent, robust and autonomous object tracking system for unmanned aerial vehicles (UAVs) called Persistent Aerial Tracking (PAT). A computer vision and control strategy is applied to a diverse set of moving objects (e.g. humans, animals, cars, boats, etc.) integrating multiple UAVs with a stabilized RGB camera. A novel strategy is employed to successfully track objects over a long period, by ‘handing over the camera’ from one UAV to another. We evaluate several state-of-the-art trackers on the VIVID aerial video dataset and additional sequences that are specifically tailored to low altitude UAV target tracking. Based on the evaluation, we select the leading tracker and improve upon it by optimizing for both speed and performance, integrate the complete system into an off-the-shelf UAV, and obtain promising results showing the robustness of our solution in real-world aerial scenarios.

  2. Aerial Robotics: a Bird's-Eye View

    OpenAIRE

    MORIN, Pascal; Bidaud, P.

    2014-01-01

    International audience; A fter manufacturing, ground transportation and medicine, robotics has now made an incursion in the field of aerial applications. Several domains, such as mapping, shooting, monitoring of indoor and outdoor 3D environments, agriculture and traffic monitoring, surveillance of sensitive areas, structure inspection, handling and carrying of heavy loads, and physical interventions now seek to exploit what are commonly called "drones". While these unmanned aerial vehicles (...

  3. Planning and decision making for aerial robots

    CERN Document Server

    Bestaoui Sebbane, Yasmina

    2014-01-01

    This book provides an introduction to the emerging field of planning and decision making for aerial robots. An aerial robot is the ultimate form of Unmanned Aerial Vehicle, an aircraft endowed with built-in intelligence, requiring no direct human control and able to perform a specific task. It must be able to fly within a partially structured environment, to react and adapt to changing environmental conditions and to accommodate for the uncertainty that exists in the physical world. An aerial robot can be termed as a physical agent that exists and flies in the real 3D world, can sense its environment and act on it to achieve specific goals. So throughout this book, an aerial robot will also be termed as an agent.   Fundamental problems in aerial robotics include the tasks of spatial motion, spatial sensing and spatial reasoning. Reasoning in complex environments represents a difficult problem. The issues specific to spatial reasoning are planning and decision making. Planning deals with the trajectory algori...

  4. Endurance bounds of aerial systems

    Science.gov (United States)

    Harrington, Aaron M.; Kroninger, Christopher M.

    2014-06-01

    Within the past few years micro aerial vehicles (MAVs) have received much more attention and are starting to proliferate into military as well as civilian roles. However, one of the major drawbacks for this technology currently, has been their poor endurance, usually below 10 minutes. This is a direct result of the inefficiencies inherent in their design. Often times, designers do not consider the various components in the vehicle design and match their performance to the desired mission for the vehicle. These vehicles lack a prescribed set of design guidelines or empirically derived design equations which often limits their design to selection of commercial off-the-shelf components without proper consideration of their affect on vehicle performance. In the current study, the design space for different vehicle configurations has been examined including insect flapping, avian flapping, rotary wing, and fixed wing, and their performance bounds are established. The propulsion system typical of a rotary wing vehicle is analyzed to establish current baselines for efficiency of vehicles at this scale. The power draw from communications is analyzed to determine its impact on vehicle performance. Finally, a representative fixed wing MAV is examined and the effects of adaptive structures as a means for increasing vehicle endurance and range are examined. This paper seeks to establish the performance bounds for micro air vehicles and establish a path forward for future designs so that efficiency may be maximized.

  5. Integration of aerial imaging and variable-rate technology for site-specific aerial herbicide application

    Science.gov (United States)

    As remote sensing and variable rate technology are becoming more available for aerial applicators, practical methodologies on effective integration of these technologies are needed for site-specific aerial applications of crop production and protection materials. The objectives of this study were to...

  6. Use of low-altitude aerial photography to identify submersed aquatic macrophytes

    Science.gov (United States)

    Schloesser, Donald W.; Manny, Bruce A.; Brown, Charles L.; Jaworski, Eugene

    1987-01-01

    The feasibility of using low-altitude aerial photography to identify beds of submersed macrophytes is demonstrated. True color aerial photos and collateral ground survey information for submersed aquatic macrophyte beds at 10 sites in the St.Clair-Detroit River system were obtained in September 1978. Using the photos and collateral ground survey information, a dichotomous key was developed for the identification of six classes - beds of five genera of macrophytes and one substrate type. A test was prepared to determine how accurately photo interpreters could identify the six classes. The test required an interpreter to examine an unlabeled, outlined area on photographs and identify it using the key. Six interpreters were tested. One pair of interpreters was trained in the interpretation of a variety of aerial photos, a second pair had field experience in the collection and identification of submersed macrophytes in the river system, and a third pair had neither training in the interpretation of aerial photos nor field experience. The criteria that we developed were applied equally well by the interpretors, regardless of their training or experience. Overall accuracy (i.e., omission errors) of all six classes combined was 68% correct, whereas, overall accuracy of individual classes ranged from 50 to 100% correct. Mapping accuracy (i.e. omission and commission errors) of individual classes ranged from 36 to 75%. Although the key developed for this study has only limited application outside the context of the data and sites examined in this study, it is concluded that low-altitude aerial photography, together with limited amounts of collateral ground survey information, can be used to economically identify beds of submersed macrophytes in the St. Clair-Detroit River system and other similar water bodies.

  7. Bering-Okhotsk Seal Survey (BOSS) On-Effort Flight Tracks (2012-13)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Aerial surveys were flown during the spring of 2012 and 2013 as part of the Bering Okhotsk Seal Surveys (BOSS) project to gather data on distribution and abundance...

  8. Aerial Surveys of Bowhead Whales, North Slope, Alaska.

    Science.gov (United States)

    1980-02-01

    general area were 15 to 20 belugas ( Delphinapterus leucas ). They were evenly spaced and were proceeding quite steadily in straight, regular lines on...in polynyas within the ice. In early spring, whales from this population move northward from the Bering Sea, passing St Lawrence and Diomede Islands...Harvard Univ. Press Cambridge. MA. Sergeant. D.E. and W. Hoch. 1974. Biology of bowhead Balaena mysticetus and white whale Delphinapterus leucas in

  9. US Forest Service Forest Health Protection Insect and Disease Survey

    Data.gov (United States)

    US Forest Service, Department of Agriculture — This data is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. US Forest Service,...

  10. Trumpeter swan surveys on the Chugach National Forest 1997

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Trumpeter swan (Cygnus buccinator) aerial surveys were conducted during May and August 1997 on the Copper River Delta and surrounding areas of the Chugach National...

  11. Aerial Delivery Systems and Technologies (Review Paper

    Directory of Open Access Journals (Sweden)

    Balraj Gupta

    2010-03-01

    Full Text Available Aerial Delivery Research & Development Establishment (ADRDE was started at Kanpur during latter part of 1950's consisting of two Aerial Delivery Sections primarily for the indigenisation of Parachutes and related equipment for Para-dropping of men and materials. Today, the charter of ADRDE includes design & development of parachutes, Aerostat Systems, Aircraft Arrester Barrier Systems and Heavy-Drop Systems for both military and civilian applications. The technological competence built in Aeronautical, Textile, Mechanical and Electronics engineering has imparted ADRDE, a unique combination of know-how and capabilities to evolve new solutions in these fields, with emphasis on quality assurance. This paper highlights the design and development of technologies developed by ADRDE to stengthen the India's aerial delivery system and its future plans.Defence Science Journal, 2010, 60(2, pp.124-136, DOI:http://dx.doi.org/10.14429/dsj.60.326

  12. 1935 15' Quad #315 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #290 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #248 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #223 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #035 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #059 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #129 Aerial Photo Mosaic Index - NM

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1935 15' Quad #177 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  20. 1935 15' Quad #411 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  1. 1935 15' Quad #367 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  2. 1935 15' Quad #099 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  3. 1935 15' Quad #410 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  4. 1935 15' Quad #265 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  5. 1935 15' Quad #250 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  6. 1935 15' Quad #028 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  7. 1935 15' Quad #078 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  8. 1935 15' Quad #031 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  9. 1935 15' Quad #081 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  10. 1935 15' Quad #012 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  11. 1935 15' Quad #203 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  12. 1935 15' Quad #238 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #224 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #201 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #275 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #054 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #369 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #266 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1935 15' Quad #227 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  20. 1935 15' Quad #339 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  1. 1935 15' Quad #344 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  2. 1935 15' Quad #294 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  3. 1935 15' Quad #001 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  4. 1935 15' Quad #292 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  5. 1935 15' Quad #221 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  6. 1935 15' Quad #131 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  7. 1935 15' Quad #015 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  8. 1935 15' Quad #084 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  9. 1935 15' Quad #077 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  10. 1935 15' Quad #153 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  11. 1935 15' Quad #268 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  12. 1935 15' Quad #259 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #010 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #375 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #108 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #362 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #123 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #370 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1935 15' Quad #316 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  20. 1935 15' Quad #132 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  1. 1935 15' Quad #148 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  2. 1935 15' Quad #343 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  3. 1935 15' Quad #415 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  4. 1935 15' Quad #076 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  5. 1935 15' Quad #245 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  6. 1935 15' Quad #154 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  7. 1935 15' Quad #086 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  8. 1935 15' Quad #098 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  9. 1935 15' Quad #368 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  10. 1935 15' Quad #249 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  11. 1935 15' Quad #217 Aerial Photo Mosaic Index - AZ

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  12. 1935 15' Quad #247 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #412 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #085 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #390 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #361 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #050 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #097 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1935 15' Quad #075 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  20. 1935 15' Quad #351 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  1. 1935 15' Quad #180 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  2. 1935 15' Quad #150 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  3. 1935 15' Quad #314 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  4. 1935 15' Quad #393 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  5. 1935 15' Quad #149 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  6. 1935 15' Quad #181 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  7. 1935 15' Quad #204 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  8. 1935 15' Quad #002 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  9. 1935 15' Quad #004 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  10. 1935 15' Quad #437 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  11. 1935 15' Quad #295 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  12. 1935 15' Quad #155 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #454 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #106 Aerial Photo Mosaic Index - AZ

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #222 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #392 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #366 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #374 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1935 15' Quad #281 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  20. 1935 15' Quad #033 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  1. 1935 15' Quad #173 Aerial Photo Mosaic Index - AZ

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  2. 1935 15' Quad #319 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  3. 1935 15' Quad #157 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  4. 1935 15' Quad #105 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  5. 1935 15' Quad #014 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  6. 1935 15' Quad #394 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  7. 1935 15' Quad #057 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  8. 1935 15' Quad #058 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  9. 1935 15' Quad #125 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  10. 1935 15' Quad #197 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  11. 1935 15' Quad #151 Aerial Photo Mosaic Index - NM

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  12. 1935 15' Quad #056 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #100 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #034 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #371 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #349 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #195 Aerial Photo Mosaic Index - AZ

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #363 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1947 Dona Ana County DEY Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  20. 1935 15' Quad #417 Aerial Photo Mosaic Index - NM

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  1. 1935 15' Quad #465 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  2. 1935 15' Quad #391 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  3. 1935 15' Quad #313 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  4. 1935 15' Quad #029 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  5. 1935 15' Quad #244 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  6. 1935 15' Quad #151 Aerial Photo Mosaic Index - AZ

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  7. 1935 15' Quad #063 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  8. 1935 15' Quad #441 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  9. 1935 15' Quad #172 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  10. 1935 15' Quad #039 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  11. 1936 Quay County AG Index Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  12. 1935 15' Quad #026 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #198 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #271 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #127 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #109 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #038 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #009 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1935 15' Quad #052 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  20. 1946 Whitewater-Animas DDR Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...

  1. 1935 15' Quad #008 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  2. 1935 15' Quad #073 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  3. 1935 15' Quad #246 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  4. 1935 15' Quad #006 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  5. 1935 15' Quad #005 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  6. 1935 15' Quad #350 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  7. 1935 15' Quad #373 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  8. 1935 15' Quad #364 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  9. 1935 15' Quad #267 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  10. 1935 15' Quad #386 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  11. 1935 15' Quad #087 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  12. 1935 15' Quad #273 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  13. 1935 15' Quad #322 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  14. 1935 15' Quad #274 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  15. 1935 15' Quad #121 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  16. 1935 15' Quad #388 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  17. 1935 15' Quad #145 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  18. 1935 15' Quad #457 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  19. 1935 15' Quad #225 Aerial Photo Mosaic Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial Photo Reference Mosaics contain aerial photographs that are retrievable on a frame by frame basis. The inventory contains imagery from various sources that...

  20. 1949-50 DIO USFS Aerial Photo Index

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Aerial photographs are retrievable on a frame by frame basis. The aerial photo inventory contains imagery from various sources that are now archived at the Earth...