LAI Retrieval of Winter Wheat using Simulated Compact SAR Data through GA-PLS Modeling

摘要

This study evaluated the potential of a compact polarimetric (CP) mode SAR concept for the retrieval of winter wheat LAI values. First, the CP SAR data used in this study were simulated from full polarimetric SAR data. A total of 19 CP parameters were extracted from CP matrices and from CP decomposition results. Second, a hybrid inversion model based on nonlinear genetic partial least square (GA-PLS) algorithm was built to determine the relationships between CP SAR parameters and LAI values. Finally, the mapping and estimation of winter wheat LAI using the CP SAR parameters by GA-PLS algorithm were implemented. Our study indicates that by using a CP SAR dataset, LAI retrieval can yield an accuracy of R~2 = 0.70 and RMSE = 0.40 m~2/m~2. Our study has significant implications for field crop condition monitoring and growth stage estimation, providing relevant data for agronomic practices and precision agriculture.