Henry Senyondo

The paper introduces MillionTrees, a global benchmark dataset for airborne tree detection, showing that current models struggle to generalize across diverse data and that training on MillionTrees improves performance.

This study develops an automated remote sensing approach to track individual bird nests using time-series UAS imagery in the Everglades, showing comparable performance to human assessment.

This paper presents an end-to-end workflow for near real-time monitoring of wading birds using drones and computer vision, achieving species-level counts for five out of six target species.