ANALYSIS OF ANISOTROPY VARIANCE BETWEEN THE KERNEL-DRIVEN MODEL AND THE PROSAIL MODEL

The surface anisotropy characteristics have important significance in the quantitative remote sensing inversion. The kernel-driven model can express the surface anisotropy well and widely used in remote sensing, and the PROSAIL model is a mature vegetation canopy model which can describe complex vegetation structure, therefore studying surface anisotropy variance of the two models is a key point to combine them for further research. We simulate surface reflectance data with complex vegetation structure through the PROSAIL model, with the RossThick-LiSparseR(RTLSR) model and its extended model of Chen(RTCLSR) considering hotspot effect, we analyze anisotropy variance. The result shows: (1) The overall fitting effect is good, the average fitting RMSE is about 0.0071 in red band and 0.0342 in near infrared band; (2) AFX is sensitive to some vegetation structure parameters; (3) C1 and C2 in Chen model is inversely proportional to each other in different Hspot, while proportional in different LAI.