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Potential of Fully Polarimetric SAR Data for Crops Biophysical Parameters Retrieval

文献类型： 外文期刊

作者： Yang, Hao 1 ; Yang, Xiaodong 1 ; Xu, Xingang 1 ; Gao, Zhongling 1 ; Li, Cunjun 1 ; Wang, Jihua 1 ; Zhao, Chunjiang 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr NERCITA, Beijing, Peoples R China

关键词： Radarsat-2;polarimetric information;polarimetric decomposition;MIMICS;biophysical parameters

期刊名称：2012 FIRST INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)

ISSN： 2334-3168

年卷期： 2012 年

页码：

收录情况： SCI

摘要： Unique polarimetric information included in SAR data hasn't received deserved attention, especially in the retrieval of crops biophysical parameters. This paper finds that two polarimetric parameters, that is polarimetric scattering entropy (H) and mean scattering angle (alpha), have great potential in crops biophysical parameters retrieval. Polarimetric features extracted by eigenvector-based and model-based polarimetric decomposition techniques were investigated to estimate biophysical parameters of winter wheat, such as leaf area index (LAI), biomass, vegetation water content and height etc. Moreover, MIMICS model was utilized to explain the reason why traditional methods based on power information fail when vegetation signal was not dominant. The fully polarimetric Radarsat-2 SAR images and simultaneous in-situ data in Beijing, 2011 were used. The result reveals that the correlation coefficient from the polarimetric parameters are as good as that from optical remote sensing.

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[7]Estimation of Soil Moisture from Multi-Polarized Synthetic Aperture Radar Data-A Case Examination on RADARSAT-2 Product Over Wheat Growing Areas. Yang, Guijun,Shi, Yuechan,Xu, Qingyun,Yang, Guijun,Yang, Guijun.

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