Aboveground biomass estimation in a subtropical forest using airborne hyperspectral data


Accurate estimation of forest biomass is critical in the study of global carbon balance and climate change. This research was undertaken in the Yushan forest, in southeast china. We used metrics extracted from hyperspectral data as predictor variables to establish three types of biomass prediction models, and then the models are verified by cross-validation… (More)