MONITORING SOIL MOISTURE OVER WHEAT AND SOYBEAN FIELDS DURING GROWING SEASON USING SYNTHETIC APERTURE RADAR

被引：0

作者：

Xing, Minfeng ^{[1
,2
]}

Wang, Jinfei ^{[2
]}

Shang, Jiali ^{[3
]}

He, Binbin ^{[1
]}

Shan, Bo ^{[4
]}

Huang, Xiaodong ^{[2
]}

Qian, Jiang ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China

[2] Univ Western Ontario, Dept Geog, London, ON N6A 5C2, Canada

[3] Agr & Agri Food Canada, 960 Carling Ave, Ottawa, ON K1A 0C6, Canada

[4] A&L Canada Labs Inc, 2136 Jetstream Rd, London, ON N5V 3P5, Canada

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

基金：

中国国家自然科学基金;

关键词：

soil moisture; Radarsat-2; SAR; Dubois; VEGETATION;

D O I：

10.1109/IGARSS.2016.7729788

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 examines the potential of Radarsat-2 C-band synthetic aperture radar (SAR) data for quantifying the spatial variability of soil moisture during the agriculture growth period. To remove the effect of crop within total backscattering, a method that adequately represents the scattering behavior of vegetation-covered area by defining the scattering of the vegetation and underlying soil was developed. The Dubois model was employed to determine the backscattering from the underlying soil. The modified Water Cloud Model was used to reduce the effect of backscattering caused by the vegetation. Soil moisture was derived by the inversion scheme which uses of the dual polarizations (HH and VV) available from the quad polarization Radarsat-2 data.

引用

页码：3047 / 3050

页数：4

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