基于物理模型的被动微波遥感反演土壤水分
Physically based retrieval of soil moisture using passive microwave remote sensing
查看参考文献15篇
文摘
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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. |
其他语种文摘
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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 H polarization.In this study,we use the advanced integral equation 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. |
来源
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水科学进展
,2009,20(5):663-667 【核心库】
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关键词
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物理模型
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微波遥感
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土壤水分
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L波段
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多角度
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地址
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1.
中国科学院遥感应用研究所, 北京, 100101
2.
北京师范大学地理学与遥感科学学院, 北京, 100875
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1001-6791 |
学科
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地球物理学 |
基金
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国家863计划
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文献收藏号
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CSCD:3689062
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