Hyperspectral and multi-angular data provides an opportunity to accurately retrieve LAI and other biophysical
parameters for vegetation monitoring. Based on a vegetation canopy BRDF model, the Directional Second Derivative
(DSD) method has been obtained. In order to further evaluate the performance of the method, canopy reflectance spectra
at different LAI values and different view angles are simulated using PROSAIL models first. Then LAI are retrieved
from the spectra using DSD, SD (Second Derivative) and BRDF model inversion method. Results show that DSD is the
most accurate and stable method compared with the other two. It also indicates that the optimal direction for LAI
retrieval is near the hot spot. Finally, the single-angular Hyperion/EO-1 and multi-angular CHIRS/PROBA images are
used to demonstrate the application of DSD method. The retrieved values are validated by ground measurements. The
results are in good agreement with numerical simulations.
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