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[1]LI Boxiang,CHEN Xiaoyong,XU Wenting.Inversion of Soil Moisture in Vegetation-Covered Areas by Sentinel-1A Dual Polarization Based on Water Cloud Model[J].Research of Soil and Water Conservation,2019,26(05):39-44.

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Inversion of Soil Moisture in Vegetation-Covered Areas by Sentinel-1A Dual Polarization Based on Water Cloud Model

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 26 Number of periods: 2019 05 Page number: 39-44 Column: Public date: 2019-09-06

Title:: Inversion of Soil Moisture in Vegetation-Covered Areas by Sentinel-1A Dual Polarization Based on Water Cloud Model

Author(s):: LI Boxiang¹, CHEN Xiaoyong^1,2,3, XU Wenting¹; 1. School of Geomatics, East China University of Technology, Nanchang 330013, China;
2. Key Laboratory of Watershed Ecology and Geographical Environment Monitoring, Nanchang 330013, China;
3. Jiangxi Province Key Laboratory for Digital Land, Nanchang 330013, China

Keywords:: active and passive microwave; soil moisture; water coud model; dual polarization

CLC:: P237

DOI:: -

Abstract:: A collaborative inversion monitoring experiment of active and passive microwave remote sensing for soil moisture in maize farmland in Jingxian County was carried out. Firstly, the microwave polarization difference index (MPDI) was calculated by using FY-3B WMRI passive microwave data, and the water content of vegetation layer inversion model was established to remove the influence of vegetation water content on farmland soil moisture inversion. Then, a semi-empirical inversion model of farmland soil moisture in vegetation-covered area was established by combining with the vegetation water content inversion model, water cloud model, the Sentinel-1A active microwave data and some measured soil water content data. Finally, the accuracy of semi-empirical inversion model was verified and analyzed under different sentinel-1A VV/VH polarization conditions. The results show that the accuraces of soil moisture inversion values under VV polarization condition can be characterized by R²(0.7422), RMSE (0.0674) cm³/cm³, MAE (0.0305 cm³/cm³), Max R², (0.1196 cm³/cm³), MinE (0.0024 cm³/cm³); R²(0.1898),RMSE (0.0768 cm³/cm³), MAE (0.0474 cm³/cm³), MaxE(0.1933 cm³/cm³), MinE (0.0190 cm³/cm³) under VH polarization condition. The inversion values of the VH polarization model in the study area were generally low, and the soil moisture inversion results of the VV polarization model were better than that of the VH polarization model. The VV polarization mode has stronger penetrability which is less affected by the attenuation of the vegetation layer, and is more sensitive to the changes in soil moisture content. The semi-empirical model of soil moisture inversion under VV polarization condition can better reflect the spatial distribution of soil moisture in the study area.

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