被动微波遥感大气校正

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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Bibliographic Details
Published in红外与毫米波学报 Vol. 33; no. 2; pp. 192 - 199
Main Author 王永前 冯文兰 施建成 邱玉宝 刘志红
Format Journal Article
LanguageChinese
Published 成都信息工程学院资源环境学院,四川成都610225 2014
遥感科学国家重点实验室中国科学院遥感与数字地球研究所,北京100101%成都信息工程学院资源环境学院,四川成都,610225%遥感科学国家重点实验室中国科学院遥感与数字地球研究所,北京,100101
Subjects
大气校正
被动微波遥感
辐射传输模型
radiative transfer model
被动微波遥感
辐射传输模型
passive microwave remote sensing
atmosphere correction
大气校正
Online AccessGet full text
ISSN1001-9014
DOI10.3724/SP.J.1010.2014.00192

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Summary: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．
Bibliography:Atmosphere profiles obtained from atmosphere radiation measurement （ARM） were used to correct the AM- SR-E data of the same time and site. Comparison between MVIs computed by the brightness temperatures before and af- ter 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.
passive microwave remote sensing, radiative transfer model, atmosphere correction
31-1577/TN
WANG Yong-Qian, FENG Wen-Lan, SHI Jian-Cheng, QIU Yu-Bao, LIU Zhi-Hong（1. College of Environmental and Resource Science, Chengdu University of Information Technology, Chengdu 610225, China; 2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 1130101, China）
ISSN:1001-9014
DOI:10.3724/SP.J.1010.2014.00192