Counts of Birds in Aerial Photos from Fall Waterfowl Surveys, Izembek Lagoon, Alaska, 2017-2019
April 6, 2022
This dataset includes tables summarizing image information and bird counts from the aerial digital images taken over open water at Izembek Lagoon in Alaska in fall 2017-2019. These summaries list one record per image and provide the camera parameters, latitude, longitude, altitude, and automated and manual counts representing the total number of birds in each taxon (brant, white-cheeked geese, emperor geese, gulls, and other birds) identified in the image. The original images (.JPG format) and annotations are provided in an accompanying USGS data release (Weiser et al. 2022).
Citation Information
| Publication Year | 2022 |
|---|---|
| Title | Counts of Birds in Aerial Photos from Fall Waterfowl Surveys, Izembek Lagoon, Alaska, 2017-2019 |
| DOI | 10.5066/P9ALG8MY |
| Authors | Emily L Weiser, Paul L Flint, Dennis K. Marks, Brad S. Shults, Heather M. Wilson, Sarah J. Thompson, Julian B. Fischer |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Alaska Science Center |
Related Content
Optimizing surveys of fall-staging geese using aerial imagery and automated counting
Ocular aerial surveys allow efficient coverage of large areas and can be used to monitor abundance and distribution of wild populations. However, uncertainty around resulting population estimates can be large due to difficulty in visually identifying and counting animals from aircraft, as well as logistical challenges in estimating detection probabilities. Photographic aerial surveys can mitigate
Authors
Emily L. Weiser, Paul L. Flint, Dennis K Marks, Brad S Shults, Heather M. Wilson, Sarah J Thompson, Julian B. Fischer
Related Content
Optimizing surveys of fall-staging geese using aerial imagery and automated counting
Ocular aerial surveys allow efficient coverage of large areas and can be used to monitor abundance and distribution of wild populations. However, uncertainty around resulting population estimates can be large due to difficulty in visually identifying and counting animals from aircraft, as well as logistical challenges in estimating detection probabilities. Photographic aerial surveys can mitigate
Authors
Emily L. Weiser, Paul L. Flint, Dennis K Marks, Brad S Shults, Heather M. Wilson, Sarah J Thompson, Julian B. Fischer