Estimation of Leaf Area Index Over Heterogeneous Regions Using the Vegetation Type Information and PROSAIL Model

The leaf area index (LAI) is a parameter that can indicate the vegetation canopy structure and accurately reflect growth state of vegetation. Most studies estimate LAI single in homogeneous areas, but only few have explored inversion heterogeneous areas. Canopy heterogeneity regions may increase uncertainty difficulty quantitative inversion. Therefore, retrieval areas needs to be studied obtain distribution maps large spatial range. In this study, an model considering types was proposed based on look-up table (LUT) method PROSAIL for estimating surfaces. First, LUTs different were generated by using with priori information multispecies. Second, corresponding LUT estimation selected according determined types. Finally, parametric sensitivity analysis conducted recognize key parameters algorithm's efficiency. Results show approach ( R 2 = 0.63, RMSE 0.75 / 0.64, 0.50) superior traditional does not consider 0.50, 1.32 0.17, 1.81). former greatly improve accuracy multispecies estimation, especially high heterogeneity. provide new insights studying ecological status complex land surface exhibit excellent potential extended application