Analysis on inversion saturation of leaf area index based on muti-layer models

Leaf area index is a key parameter to describe physical and biological processes of plants. Remote sensing technology offers a new method to obtain LAI at regional scales, but it generally records plants information in horizontal. Therefore, the canopy reflectance is easier to reach saturation when plants growth flourished. This paper firstly defines the issues of canopy reflectance saturation, and then analyzes the reflectance contribution of each layers based on multilayer SAIL and FRT model for continuous and discontinuous vegetation, respectively. Besides, this paper analyzes the factors influencing canopy LAI saturation. Results show that the lower part of plants has fewer contributions to canopy reflectance. The leaf angle distribution and view zenith angle are two mainly factors influencing canopy LAI saturation.