Retrieval of leaf area index, leaf chlorophyll content based on SLC model and CHRIS data

Leaf area index (LAI) and leaf chlorophyll content (Cab) are two significant parameters that control physical and physiological processes in vegetation canopies. The hyper spectral data, CHRIS/PROBA, were used in this study. Simultaneous ground experiments for CHRIS were carried out in July 1, 2008 in Zhangye during experiment of the Watershed Airborne Telemetry Experimental Research (WATER). In this paper, Soil-Leaf-Canopy (SLC) canopy reflectance model was used to simulate spectral of canopy and inverted for vegetation variables. For inversion of this coupled model, the very fast simulated re-annealing algorithm was used as an inversion strategy of retrieval of LAI and Cab. The retrieval results were validated with field measurements of LAI and Cab. The root-mean-square error (RMSE) of LAI and Cab were 1.2614 and 14.82µg/cm2 respectively. The verified result shows that the retrieval algorithm for vegetation parameters based on SLC and simulated annealing algorithm is credible.