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Document Type
Video
Publication Date
5-1-2025
Keywords
ArcGIS Pro, drones, Excel
Abstract
White-tailed Deer (Odocoileus virginianus) populations have surged dramatically across the United States, growing from an estimated 500,000 one century ago to over 30 million today. Driven by legislative and policy actions, these high population densities contribute to the destruction of forest understory, propagation of diseases, and heighten the frequency of vehicular collisions, particularly in urban and peri-urban environments. This study proposes various remote sensing techniques to monitor White-tailed Deer populations in Binghamton University’s Nature Preserve and evaluate their environmental impacts. Weekly thermal infrared scans, captured via a DJI Mavic 3T quadcopter drone, is combined with UAS-derived LiDAR to track deer movements and trail formations overtime. Additionally, strategically placed trail cameras provide accurate population estimates, which are compared with local DMV collision data. These findings aim to guide policy and management practices for the Nature Preserve.
Recommended Citation
Vailakis, Peter, "Remote Sensing Techniques to Assess White-Tailed Deer Overpopulation" (2025). DataViz Community at BingU. 7.
https://orb.binghamton.edu/dataviz_community/7
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
