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 special 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 optimisation 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.
Bibliographic Reference: Paper presented: Physical Measurements and Signatures in RS, Val d'Isère (FR), January 17-21, 1994
Availability: Available from (1) as Paper EN 38085 ORA
Record Number: 199410191 / Last updated on: 1994-11-28
Original language: en
Available languages: en