Aerial Photographs, Their Interpretation and Suggested Uses in Wildlife Management

Leedy, Daniel L.

doi:10.2307/3796415

Cited by 14 publications

(11 citation statements)

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“…Aerial surveys are an important tool for estimating abundance and distribution of vertebrate populations. Methods for design and data analysis of aerial surveys have been developed to accommodate visual observations where observers count animals from aircraft (Caughley, ; Caughley & Goddard, ; Certain & Bretagnolle, ; Goddard, ; Jolly, ; Pennycuick & Western, ; Siniff & Skoog, ; Watson, Parker, & Allan, ), and for photographic survey methods (Bechet, Reed, Plante, Giroux, & Gauthier, ; Boyd, ; Buckland et al., ; Conn et al., ; Leedy, ; Leonard & Fish, ; Ver Hoef & Jansen, ). Undercounting animals from aircraft presents a major estimation problem with both visual and photographic aerial surveys (Caughley, ; Graham & Bell, ).…”

Section: Introductionmentioning

confidence: 99%

Estimating occupancy and abundance using aerial images with imperfect detection

et al. 2017

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Species distribution and abundance are critical population characteristics for efficient management, conservation, and ecological insight. Point process models are a powerful tool for modelling distribution and abundance, and can incorporate many data types, including count data, presence‐absence data, and presence‐only data. Aerial photographic images are a natural tool for collecting data to fit point process models, but aerial images do not always capture all animals that are present at a site. Methods for estimating detection probability for aerial surveys usually include collecting auxiliary data to estimate the proportion of time animals are available to be detected. We developed an approach for fitting point process models using an N‐mixture model framework to estimate detection probability for aerial occupancy and abundance surveys. Our method uses multiple aerial images taken of animals at the same spatial location to provide temporal replication of sample sites. The intersection of the images provide multiple counts of individuals at different times. We examined this approach using both simulated and real data of sea otters (Enhydra lutris kenyoni) in Glacier Bay National Park, southeastern Alaska. Using our proposed methods, we estimated detection probability of sea otters to be 0.76, the same as visual aerial surveys that have been used in the past. Further, simulations demonstrated that our approach is a promising tool for estimating occupancy, abundance, and detection probability from aerial photographic surveys. Our methods can be readily extended to data collected using unmanned aerial vehicles, as technology and regulations permit. The generality of our methods for other aerial surveys depends on how well surveys can be designed to meet the assumptions of N‐mixture models.

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Section: Introductionmentioning

confidence: 99%

Estimating occupancy and abundance using aerial images with imperfect detection

et al. 2017

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“…In lieu of coeval camera calibration reports, which are largely unavailable, the interior orientation of digitized images is corrected to pseudo-calibrated fiducial coordinates from a template image frame via an affine transformation in MATLAB (Leedy, 1948;Redweik et al, 2009;Gonçalves, 2016;Nagarajan and Schenk, 2016;Giordano et al, 2017). Images are then cropped to standard dimensions to remove outlying pixels from the frame, such as those obscured by the photograph collar and identification numbers (Heipke, 1997;Redweik et al, 2009;Doneus et al, 2016).…”

Section: Processing and Analysis Of Digitized Historical Imagerymentioning

confidence: 99%

“…There exists a large archive of pre-satellite panchromatic aerial photography for the conterminous United States that provides an unparalleled network of images for historical landscapes coincident with large-scale human modification characteristic of the 20th century (Redweik et al, 2009;Nagarajan and Schenk, 2016). The USGP has a particularly rich photographic record beginning in the 1930s, when the United States Department of Agriculture was tasked with reducing acreage under cultivation to stabilize crop prices during the Great Depression (Leedy, 1948;Rango et al, 2008Rango et al, , 2011National Archives and Record Administration[NARA], 2017). The resulting record, completed from 1935 to 1954, covers approximately 7,627,515 km 2 , or 99.5% of the contiguous United States (Leedy, 1948;National Archives and Record Administration[NARA], 2017) and is comparable in resolution to QuickBird and IKONOS satellite imagery (Laliberte et al, 2004;Rango et al, 2008;Browning et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…The USGP has a particularly rich photographic record beginning in the 1930s, when the United States Department of Agriculture was tasked with reducing acreage under cultivation to stabilize crop prices during the Great Depression (Leedy, 1948;Rango et al, 2008Rango et al, , 2011National Archives and Record Administration[NARA], 2017). The resulting record, completed from 1935 to 1954, covers approximately 7,627,515 km 2 , or 99.5% of the contiguous United States (Leedy, 1948;National Archives and Record Administration[NARA], 2017) and is comparable in resolution to QuickBird and IKONOS satellite imagery (Laliberte et al, 2004;Rango et al, 2008;Browning et al, 2009). Recently a new historical image product was created from this record by applying advances in remote sensing and geospatial techniques to digital reproductions of original reel film (Bolles et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Evaluating Landscape Degradation Along Climatic Gradients During the 1930s Dust Bowl Drought From Panchromatic Historical Aerial Photographs, United States Great Plains

Bolles

Forman

2018

Front. Earth Sci.

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The United States Great Plains (USGP) are some of the most productive rangelands globally and a significant carbon sink for the atmosphere, but grassland response to precipitation is highly variable and poorly constrained over time and space. There is a rich historical aerial photographic record of the USGP which provides an unparalleled view of past landscapes and allows for evaluation of surficial response to drought beyond the satellite record, such as during the 1930s Dust Bowl Drought (DBD). This study classified the extent and loci of surficial denudation from seamless mosaics of radiometrically corrected and georectified digitized aerial negatives acquired in the late 1930s from six counties distributed across USGP ecoregions. The dominant sources of degradation found for sites east of the 100th meridian are cultivated fields and fluvial deposits, associated with woody vegetation response to water availability in uncultivated areas. For sites to the west, denuded surfaces are predominantly eolian sandsheets and dunes, correlated with intensity of drought conditions and reduced plant diversity. Discrete spatial signatures of the drought are observed not only within the classically recognized southern Dust Bowl area, but also in the northern and central plains. Statistical analyses of site variability suggest landscape response to the DBD is most strongly influenced by the arid-humid divide and severity of precipitation and temperature anomalies. With a projected increase 21st century aridity, eolian processes cascading across western grasslands, like during the Dust Bowl, may significantly impact future dust particle emission and land and carbon storage management.

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“…Remote-sensing techniques (e.g., aerial photointerpretation) have been used in wildlife work since the mid-1900s (Leedy 1948(Leedy , 1953. Since then, products generated (e.g., land-use and cover data generated from satellite imagery; digital orthophoto quads [DOQs]) have been common and invaluable to large-scale wildlife studies (Anderson et al 1980, Koeln et al 1994, O'Neil et al 2005.…”

Section: Early Applications Of Gis-related Technology In Wildlife Stumentioning

confidence: 99%

Tracking the Rapid Pace of GIS-Related Capabilities and Their Accessibility

Sampson

DelGiudice

2006

Wildlife Society Bulletin

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With the rapid expansion of geographic information systems (GIS) technology and its integration into the wildlife biology field, it is becoming increasingly clear that having access to the full scope of its analytical tools will greatly improve our ability to study, understand, and manage wildlife populations. We use our long-term, white-tailed deer (Odocoileus virginianus) research project as a case study to highlight the significant advances in GIS that have been benefiting investigations of wildlife. From initiation of our research, we included early GIS capabilities and we attempted to take advantage of advances as they occurred. Herein, we document changes that occurred in ''wildlife GIS'' over the last 15 years and how we applied them in our work. We identify a list of sources of GIS tools and data that are currently available and discuss their potential value to wildlife researchers and managers.

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Aerial Photographs, Their Interpretation and Suggested Uses in Wildlife Management

Cited by 14 publications

References 0 publications

Estimating occupancy and abundance using aerial images with imperfect detection

Estimating occupancy and abundance using aerial images with imperfect detection

Evaluating Landscape Degradation Along Climatic Gradients During the 1930s Dust Bowl Drought From Panchromatic Historical Aerial Photographs, United States Great Plains

Tracking the Rapid Pace of GIS-Related Capabilities and Their Accessibility

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