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Estimation of Soil Moisture from Multi-Polarized Synthetic Aperture Radar Data-A Case Examination on RADARSAT-2 Product Over Wheat Growing Areas

文献类型： 外文期刊

作者： Yang, Guijun 1 ; Shi, Yuechan 1 ; Xu, Qingyun 1 ;

作者机构： 1.Beijing Acad Agr & Forest Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

3.Beijing Normal Univ, Beijing 100101, Peoples R China

关键词： RADARSAT-2;Wheat Field;Wheat Height;Wheat Water Content;Soil Moisture

期刊名称：SENSOR LETTERS （ 影响因子：0.558； 五年影响因子：0.58 ）

ISSN：

年卷期：

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收录情况： SCI

摘要： Radar data has important implications in agricultural fields monitoring, particularly in the retrieval of the crop height, leaf area index (LAI) and soil moisture information. The objective of this study was to estimate soil moisture contents based on RADARSAT-2 synthetic aperture radar (SAR) data acquired over wheat fields. The soil moisture inversion algorithm was based on semi-empirical backscattering models and the prior estimation of wheat heights (h) and wheat water contents (WC) from RADARSAT-2 data. The co-polarized correlation coefficient (ρ_(vvhh)) and the ratio of the absolute value of the cross polarization to the crop height (Λ_(vh)) were analyzed with respect to variations in wheat height and wheat water content. Furthermore, Landsat5 TM data were used to classify the planted wheat area. The results showed average relative errors of 14%, 32% and 24% for the retrieval of wheat height, wheat water content and soil moisture, respectively.

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