文献类型： 会议论文
第一作者： Chang-An Liu
作者： Chang-An Liu 1 ; Zhongxin Chen 1 ; Pengyu Hao 1 ; Kun Li 2 ; Xiaochen Wang 2 ;
作者机构： 1.Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
2.Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
关键词： Compact polarimetric (CP) SAR;Winter wheat;Radarsat-2;GA-PLS;Agriculture;LAI
会议名称： IEEE International Geoscience and Remote Sensing Symposium
主办单位：
页码： 3840-3843
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.
分类号： TP7-53
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