RSC4Earth
RSC4Earth
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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. …
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