Soil moisture evaluation in the Three Gorges Reservoir area using ENVISAT ASAR data

Jiong Li; Lina Xu; Ruiqing Niu; Yanfang Dong

doi:10.1117/12.901594

8 December 2011 Soil moisture evaluation in the Three Gorges Reservoir area using ENVISAT ASAR data

Jiong Li, Lina Xu, Ruiqing Niu, Yanfang Dong

Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 800210 (2011) https://doi.org/10.1117/12.901594
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

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.

Citation Download Citation

Jiong Li, Lina Xu, Ruiqing Niu, and Yanfang Dong "Soil moisture evaluation in the Three Gorges Reservoir area using ENVISAT ASAR data", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 800210 (8 December 2011); https://doi.org/10.1117/12.901594

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KEYWORDS

Soil science

Vegetation

Backscatter

Radar

Data modeling

Polarization

Scattering

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