| 基于物理模型的被动微波遥感反演土壤水分 |
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| 引用本文： | 陈亮,施建成,蒋玲梅,杜今阳.基于物理模型的被动微波遥感反演土壤水分[J].水科学进展,2009,20(5):663-667. |
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| 作者姓名： | 陈亮 施建成 蒋玲梅 杜今阳 |
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| 作者单位： | 1.中国科学院遥感应用研究所, 北京, 100101; |
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| 基金项目： | 国家高技术研究发展计划(863)资助项目 |
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| 摘 要： | 利用土壤水分和海洋盐度(SMOS)卫星进行土壤水分反演的算法中,对地表发射率的描述仍采用半经验Q/H模型,该模型描述地表粗糙度对有效发射率在V和H极化下影响相同.基于微波散射理论模型-高级积分方程模型(AIEM)建立了一个针对SMOS传感器的参数配置,包含各种地表粗糙度和介电特性的裸露地表辐射模拟数据库,发展了L波段多角度地表辐射参数化模型.在此基础上,利用SMOS多角度双极化特点,建立了土壤水分反演算法.该算法可以消除粗糙度对土壤水分反演的影响,同时最小化反演过程中辅助信息引入带来影响.反演算法通过美国农业部提供的L波段多角度地基辐射计数据(BARC)进行验证,在20°~50°入射角,土壤水分反演精度在4%左右.
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| 关 键 词： | 物理模型 微波遥感 土壤水分 L波段 多角度 |
| 收稿时间： | 2008-07-15 |
Physically based retrieval of soil moisture using passive microwave remote sensing |
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| CHEN Liang,SHI Jian-cheng,JIANG Ling-mei,DU Jin-yang.Physically based retrieval of soil moisture using passive microwave remote sensing[J].Advances in Water Science,2009,20(5):663-667. |
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| Authors: | CHEN Liang SHI Jian-cheng JIANG Ling-mei DU Jin-yang |
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| Institution: | 1.Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;2.School of Geography, Beijing Normal University, Beijing 100875, China;3.Graduate School of the Chinese Academy of Sciences, Beijing 100039, China |
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| Abstract: | The soil moisture inversion algorithm,which is adopted in the soil moisture and ocean salinity(SMOS) mission,uses the semi-empirical Q/H model to figure out the surface emissivity.The Q/H model shows the effects of the surface roughness on the emissivity at V polarization are same as that of Hpolarization.In this study,we use the advanced integrale-quation model to generate a simulated database with a wide range of the surface roughness and soil moisture conditions under SMOS sensor configurations and develop a simplified multi-angular surface emission model based on the simulated database.Based on the parameterized model,an inversion procedure is set up in terms of dual-polarization microwave brightness temperatures to retrieve soil moisture with the minimum auxiliary information about the ground.The inversion technique is validated with multi-angular ground microwave radiometer experiment data at L-band from several test sites at Beltsville,MD.The accuracy in random-mean-square error is about 4% at inciden angles of 20°～50°.The results reveal that the proposed inversion procedure decreases the perturbing effects of the surface roughness on the soil moisture estimation. |
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