Journal of Ecology and Rural Environment ›› 2020, Vol. 36 ›› Issue (6): 752-761.doi: 10.19741/j.issn.1673-4831.2019.0944

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Synergic Use of Sentinel-1 and Sentinel-2 Images for Soil Moisture Retrieval in Vegetation Covered Agricultural Areas of Jingxian County of Heibei Province

LI Bo-xiang1, CHEN Xiao-yong1,2,3   

  1. 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
  • Received:2019-11-27 Online:2020-06-25 Published:2020-06-22

Abstract: Vegetation has significant effect on the retrieval of surface soil moisture by microwave remote sensing. A related study was carried out in Jingxian County of Hebei Province. The quantitative inversion research on the surface soil moisture in vegetation covered agricultural areas was based on the combination method of the modified water cloud model and the Oh model using Sentinel-1 SAR and Sentinel-2 optical remote sensing data. The results show that the combination method had good inversion accuracy in the VV polarization mode, with R2 of 0.653 0, RMSE of 0.040 1 cm3·cm-3, MAE of 0.032 7 cm3·cm-3. Compared with the VH polarization mode, the VV polarization mode had better ability for the detection of the change of surface soil water content. The proposed method can obtain the data of the surface soil moisture with high spatial resolution and high accuracy in the vegetation covered areas.

Key words: modified water cloud model, Oh model, soil moisture, vegetation water content, Sentinel-1/2

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