Remote sensing; Canopy biochemistry; APEX; Hyperspectral imagery; Leaf traits; Leaf nutrient content; Data fusion; Forest ecosystem

LiDAR Derived Forest Structure Data Improves Predictions of Canopy N and P Concentrations from Imaging Spectroscopy

Imaging spectroscopy is a powerful tool for mapping chemical leaf traits at the canopy level. However, covariance with structural canopy properties is hampering the ability to predict leaf biochemical traits in structurally heterogeneous forests. …