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

被引：2
|
作者：
Ma, Jianwei [1 ]
Huang, Shifeng [1 ]
Li, Jiren [1 ]
Li, Xiaotao [1 ]
Song, Xiaoning [2 ]
Leng, Pei [3 ]
Sun, Yayong [1 ]
Lei, Tianjie [1 ]
机构：
[1] China Inst Water Resources & Hydropower Res, Minist Water Resources, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China
来源：
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年
关键词：
Soil moisture; RadarSat-2; radar vegetation index; Water-Cloud model; Dubois model; BACKSCATTER;
D O I：
10.1109/IGARSS.2016.7729784
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：
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.
引用
收藏
页码：3031 / 3034
页数：4
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