An Algorithm for Surface Soil Moisture Retrieval Using the Microwave Polarization Difference Index

文献类型： 外文期刊

第一作者： Mao, Kebiao

作者： Mao, Kebiao;Zhang, Lixin;Jiang, Lingmei;Mao, Kebiao;Mao, Kebiao;Qin, Zhihao;Xu, Bin;Qin, Zhihao;Li, Manchun

作者机构：

关键词： Emissivity;NDE;AMSR-E data

期刊名称：2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8

ISSN： 2153-6996

年卷期： 2006 年

页码：

收录情况： SCI

摘要： According to simulation analysis of AlEM, there is a good linear relationship between emissivity and soil moisture tinder given roughness. The normalized difference between emissivity of 18.7GHz and 10.7GHz can eliminate partly the influence of roughness and the R-Square is about 0.98. This paper intends to propose an algorithm for retrieving soil moisture by brightness temperature from AMSR-E data. The normalized difference of emissivity approximately equal to the normalized brightness temperature between 18.7GHz and 10.7GHz has been derived with details. This method avoids parameter land surface temperature which is the key parameter for the computation of emissivity. We make some sensitivity analysis for the atmosphere which is the main factor for our method. The analysis indicates that our method is very good in clear day but is not very well when it has rainfall. We valuate our algorithm by SMEX02, the retrieval error of soil moisture is about 25.9% relative to experiment data. After making a regression revision, the accuracy of soil moisture is under 6.5%. Finally, we retrieve the soil moisture from AMSR-E data in China. Seen from the retrieval results, the distribution trend of soil moisture is consistent with the real world.

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