Derivative Hyperspectral Vegetation Indices in Characterizing Forest Biophysical and Biochemical Quantities

Derivative hyperspectral vegetation indices (dHVIs) are extensively examined for their capabilities in characterizing forest biophysical and biochemical parameters at different spatial scales. Pros and cons of these dHVIs are explicitly revealed based on simulated datasets generated from radiative transfer models (virtual experiments) as well as measured datasets. Results suggest that derivative hyperspectral VIs generally perform better than …