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Remote Sensing Technology and Application  2018, Vol. 33 Issue (4): 750-758    DOI: 10.11873/j.issn.1004-0323.2018.4.0750
    
Soil Moisture Retrieval over Vegetated Areas based on Sentinel-1 and FY-3C Data
Lin Libin1,2,Bao Yansong1,2,Zuo Quan1,2,Fang Shibo3
(1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science & Technology,Nanjing 210044,China;
2.School of Atmospheric Physics,Nanjing University of Information Science andTechnology,Nanjing 210044,China;
3.Institute of Ecological Environment and Agricultural Meteorology,Chinese Academyof Meteorological Sciences,Beijing 100081,China)
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Abstract  
This study aims to develop soil moisture retrieval model over vegetated areas based on Sentinel-1 SAR and FY-3C data.In order to remove vegetation effect,the MWRI data from FY-3C was applied to establish the inversion model of vegetation water content.The model was combined with the original water-cloud model,and developing a soil moisture retrieval model by combining active and passive microwave remote sensing data.Finally,the experiment of the soil moisture retrieval was conducted in Jiangsu and Anhui province,and validating the inversion accuracy of soil moisture by measured data.The results showed that:①For the vegetation-covered surface,the Microwave Polarization Difference Index obtain from FY-3C/MWRI was suitable for removing vegetation effect.②Compared with the Sentinel-1 VH polarization data,the backscattering coefficient of VV polarization was more suitable for soil moisture retrieval and get a higher accuracy of soil moisture retrieval.③Sentinel\|1 data can obtain high precision soil moisture estimation results,and the correlation coefficient between the estimated and measured soil moisture is 0.561 2 and RMSE is 0.044 cm3/cm3.
Key words:  Soil water content      Sentinel-1      FY-3C/MWRI      Water-cloud model      Vegetation water content     
Received:  14 November 2017      Published:  08 September 2018
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Lin Libin
Bao Yansong
Zuo Quan
Fang Shibo

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Lin Libin,Bao Yansong,Zuo Quan,Fang Shibo. Soil Moisture Retrieval over Vegetated Areas based on Sentinel-1 and FY-3C Data. Remote Sensing Technology and Application, 2018, 33(4): 750-758.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2018.4.0750     OR     http://www.rsta.ac.cn/EN/Y2018/V33/I4/750

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