Soil moisture evaluation in the Three Gorges Reservoir area using ENVISAT ASAR data
This paper presents a method to estimate the soil moisture using ENVISAT ASAR data in the Three Gorges Reservoir area in China. Firstly, this study introduces a semi-empirical model for bare surface scattering and a water-cloud model for the elimination of the impact of the vegetation cover. Secondly, a new combined roughness parameter is introduced to describe the roughness of soil surface. Thirdly, we analyze the relationship between soil roughness and radar backscattering coefficient and that between soil moisture content and backscattering coefficient respectively. Then the soil moisture inversion algorithm is achieved through programming. Finally, an evident logarithmic relationship between radar backscattering coefficient and soil moisture is presented. In conclusion, the experiments prove that the method is fast, efficient and widely applicable.
Soil moisture Roughness SAR Water-cloud Model Vegetation cover
Jiong Li Lina Xu Ruiqing Niu Yanfang Dong
Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China School o Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）