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

被引：0

作者：

Li, Jiong ^{[1
]}

Xu, Lina ^{[1
,2
]}

Niu, Ruiqing ^{[1
]}

Dong, Yanfang ^{[3
]}

机构：

[1] China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China

[2] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China

[3] China Earthquake Adm, Inst Earthquake Sci, Beijing 100036, Peoples R China

来源：

MIPPR 2011: MULTISPECTRAL IMAGE ACQUISITION, PROCESSING, AND ANALYSIS | 2011年 / 8002卷

关键词：

Soil moisture; Roughness; SAR; Water-cloud Model; Vegetation cover;

D O I：

10.1117/12.901594

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：7

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