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- W2900785087 abstract "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 $mathbf{R}^{2}=0.70$ and $mathbf{RMSE} =0.40 mathbf{m}^{2}/mathbf{m}^{2}$ . Our study has significant implications for field crop condition monitoring and growth stage estimation, providing relevant data for agronomic practices and precision agriculture." @default.
- W2900785087 created "2018-11-29" @default.
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- W2900785087 date "2018-07-01" @default.
- W2900785087 modified "2023-09-27" @default.
- W2900785087 title "LAI Retrieval of Winter Wheat using Simulated Compact SAR Data through GA-PLS Modeling" @default.
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- W2900785087 doi "https://doi.org/10.1109/igarss.2018.8518005" @default.
- W2900785087 hasPublicationYear "2018" @default.
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