COMPARISON OF SEVERAL OPTIMIZATION METHODS TO EXTRACT CANOPY BIOPHYSICAL PARAMETERS-APPLICATION TO CAESAR DATA

An improved version of the SAIL model which includes the hot spot effect and the spectral variation of vegetation reflectance is used to retrieve canopy biophysical parameters from visible and near infrared radiometric data. The leaf mesophyll structure, the chlorophyll a+b concentration, the leaf area index, the mean leaf inclination angle and the hot spot size parameter are determined by inversion of the coupled PROSPECT+SAIL model. Four different optimization methods (Quasi-Newton, Marquardt, Simplex, Genetic Algorithms+Quasi-Newton) are tested with several kinds of data (synthetic data and airborne data acquired with the CAESAR sensor) and compared in terms of accuracy and computation time.

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