被动微波遥感大气校正
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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,中国科学院对地观测与数字地球科学中心,成都信息工程学院资源环境学院,成都信息工程学院资源环境学院

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国家自然科学基金(41101314,40930530,40901175)


Atmospheric influences and its correction in passive microwave remote sensing
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College of Environmental and Resource Science, Chengdu University of Information Technology,State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences,Center for Earth Observation and Digital Earth of Chinese Academy of Sciences,College of Environmental and Resource Science, Chengdu University of Information Technology,College of Environmental and Resource Science, Chengdu University of Information Technology

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    摘要:

    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.

    Abstract:

    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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王永前,冯文兰,施建成,邱玉宝,刘志红.被动微波遥感大气校正[J].红外与毫米波学报,2014,33(2):192~199]. WANG Yong-Qian, FENG Wen-Lan, SHI Jian-Cheng, QIU Yu-Bao, LIU Zhi-Hong. Atmospheric influences and its correction in passive microwave remote sensing[J]. J. Infrared Millim. Waves,2014,33(2):192~199.]

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历史
  • 收稿日期:2012-12-10
  • 最后修改日期:2013-09-16
  • 录用日期:2013-04-15
  • 在线发布日期: 2014-05-13
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