Retrieving LAI and LCC Simultaneously from Sentinel-2 Data Using Prosail and PSO-Coupled BI-Lut

Abstract

The PROSAIL $(\mathbf{Prospect}+\mathbf{SAIL})$ canopy radiation transfer model is the most widely used physical model in vegetation parameter inversion, however, it is hard to achieve a balance between the accuracy and efficiency of the retrieval. In this paper, a PSO-coupled (particle swarm optimization) bi-LUT (look-up table) was used to retrieve LAI (leaf area index) and LCC (leaf chlorophyll content) from Sentinel-2 MSI (multi-spectral instrument) images, which largely reduced the time consumption of the inversion. The results were validated with ground measurements. The RMSE of retrieved LAI and LCC were 0.79 m2/m2and $\mathbf{7.1} \mu \mathbf{g}/\mathbf{cm}^{2}$ , separately.