SOIL MOISTURE RETRIEVAL USING MODIFIED VEGETATION BACKSCATTERING MODEL BASED ON RADARSAT-2 DATA

被引：0

作者：

Tao, Liangliang ^{[1
]}

Wang, Guojie ^{[1
]}

He, Shi ^{[2
]}

Chen, Xi ^{[3
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210044, Jiangsu, Peoples R China

[2] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Peoples R China

[3] Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Soil moisture; Modified vegetation backscattering model; RADARSAT-2; Vegetation coverage; Backscatter coefficient;

D O I：

暂无

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 article proposed a modified vegetation backscattering model to retrieve soil moisture using C-band RADARSAT-2 images and field measurements over agricultural study sites in Shaanxi province of China The effects of vegetation and soil on radar signals were separated at pixel level by introducing vegetation coverage in the modified model. The direct scattering contribution from the underlying ground surface was considered as an important component in the total backscattering at agricultural sites. The results indicated that the modified model could be effectively applied to a variety of surface cover types ranging from sparse to full vegetation cover. The accuracy of soil moisture retrieval was significantly high with R-2 and RMSE of 84.3% and 0.028 m(3)/m(3), respectively. Therefore, the modified model was suitable for soil moisture retrieval at large scales by combining the advantages of SAR and optical remote sensing data.

引用

页码：9102 / 9105

页数：4

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