被动微波遥感大气校正
Atmospheric influences and its correction in passive microwave remote sensing
查看参考文献20篇
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文摘
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以星载微波辐射计AMSR-E的频段设置和亮温数据为参考,利用一年的大气廓线数据,对与过境时间相匹配的AMSR-E亮温数据进行了大气校正,并通过计算校正前后的微波植被指数(MVI)分析了大气校正的有效性;最后选择一天的AMSR-E亮温数据,利用现有的大气参数产品进行大气校正.校正过程中,以求取地表发射率为中间过程.结果显示,能够实现全天时全天候条件下的星载微波辐射计数据的大气校正,算法成功有效,有潜力进行推广. |
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其他语种文摘
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Atmosphere profiles obtained from atmosphere radiation measurement (ARM) were used to correct the AMSR-E data of the same time and site. Comparison between MVIs computed by the brightness temperatures before and after atmosphere correction proved the reasonability of the atmosphere correction. Atmosphere correction was applied to the AMSR-E data for a selected day with atmosphere data obtained from MODIS and MLS. The results showed the algorithm developed in this paper was reliable. |
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来源
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红外与毫米波学报
,2014,33(2):192-199 【核心库】
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DOI
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10.3724/sp.j.1010.2014.00192
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关键词
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被动微波遥感
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辐射传输模型
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大气校正
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地址
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1.
成都信息工程学院资源环境学院, 遥感科学国家重点实验室, 四川, 成都, 610225
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成都信息工程学院资源环境学院, 四川, 成都, 610225
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中国科学院遥感与数字地球研究所, 遥感科学国家重点实验室, 北京, 100101
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1001-9014 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金
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文献收藏号
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CSCD:5128956
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