
We conducted aerial imaging surveys of waterbirds at wildlife management areas in the Middle Rio Grande Valley of New Mexico between 2018 and 2023 using two unoccupied aerial systems: a DJI Mavic Pro 2 (rotary wing) and a Wingtra One Gen II (fixed wing). The DJI imagery was annotated by volunteers on the citizen science Zooniverse web platform between 2021 - 2023. The Wingtra imagery was annotated by the research team in 2024. Broad taxonomic groupings (duck, goose, crane) were used to classify waterbird species. These annotated images were used to train and evaluate convolutional neural networks to detect and classify waterbirds, with the Wingtra imagery solely serving as a test dataset. Further details on data collection, curation, and analysis can be found in the publications in "Related Works" below.
Waterfowl, Drones
Waterfowl, Drones
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
