Constraints and Opportunities for Detecting Land Surface Phenology in Drylands
S. D. Taylor, D. M. Browning, R. A. Baca, F. Gao
This study evaluates the feasibility of detecting land surface phenology in drylands using UAV imagery and simulated data, finding that vegetation cover and VI uncertainty significantly impact detection accuracy.
bioRxiv · May 21, 2021Ecology