The development of methods that can accurately detect physiological stress in forest trees
caused by biotic or abiotic factors is vital for ensuring productive forest systems that can
meet the demands of the Earth's population. The emergence of new sensors and platforms
presents opportunities to augment traditional practices by combining remotely-sensed data
products to provide enhanced information on forest condition. We tested the sensitivity of
multispectral imagery collected from time-series unmanned aerial vehicle (UAV) and …