数字农科院2.0

ESTIMATING SOIL MOISTURE IN THE AGRICULTURAL AREAS USING RADARSAT-2 QUAD-POLARIZATION SAR DATA

文献类型： 外文期刊

作者： Ma, Jianwei;Huang, Shifeng;Li, Jiren;Li, Xiaotao;Sun, Yayong;Lei, Tianjie;Song, Xiaoning;Leng, Pei

作者机构：

关键词： Soil moisture;RadarSat-2;radar vegetation index;Water-Cloud model;Dubois model

期刊名称： 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

ISSN： 2153-6996

年卷期： 2016 年

页码：

收录情况： SCI

摘要： The aim of this study was to estimate soil moisture from RADARSAT-2 Quad-polarization Synthetic Aperture Radar (SAR) data acquired in the agricultural areas. The adopted approach is based on the combination of semiempirical Water-Cloud model and Dubois model. Firstly, VH backscattering coefficient was used to develop empirical relationship for crop water content estimation. Secondly, crop water content was then used to correct the semi-empirical Water-Cloud model for vegetation effects in order to get the VV and HH backscattering coefficient of soil surface in the absence of vegetation cover. Thirdly, the soil moisture was retrieved based on Dubois model using VV and HH backscattering coefficient of soil surface in the absence of vegetation cover. Finally, the soil moisture retrieved is evaluated over wheat crop fields using ground measurements. This paper proposes an effective method for acquiring soil moisture in the agricultural areas under any weather conditions.

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