Soil moisture measurement and retrieval using Envisat ASAR imagery

被引：0

作者：

Li, Z ^{[1
]}

Ren, X ^{[1
]}

Li, XW ^{[1
]}

Wang, L ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China

来源：

IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET | 2004年

关键词：

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

High resolution data of the ASAR sensor aboard ESA's Envisat satellite offers the opportunity for monitoring , surface soil moisture at high spatial resolution with mutil-polarization and multi-incidence capabilities. Using Integral Equation Model (I E M), we simulated the backscattering coefficients of C band SAR backscatter at different incidence angles and the alternating polarisation mode. and analysed the sensitivity to soil moisture. The algorithm of infering surface soil moisture from radar backscatter is developed according to semi-empirical model from the results of simulation and sensitivity analysis. The soil moisture map are retrieved from ASAR backscatter measurements in Hetian, Xinjinag(37degrees15'N, 79degrees48'E) area, where are the arid and semi-arid area of west China. Accuracy in the retrieval of the surface moisture content from ASAR is compared to the spatially distributed ground truth. The results demonstrate the effects of soil moisture monitoring using mutil-polarisation mutil-incidence ASAR data.

引用

页码：3539 / 3542

页数：4

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