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Remote Sensing Technology and Application
    
Study of Monitoring Snow Cover Using GOESGeostationary Satellite and AMSR-E
Yang Juntao1,2,Jiang Lingmei1,2,Pan Jinmei1,2,Zhang Lixin1,2
(1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences,Beijing 100875,China; 2.School of Geography and Remote Sensing Science,Beijing Normal University,Beijing 100875,China)
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Abstract  Snow cover is an important variable in global climate change research and meteorological applications.In this paper,we use visible and infrared bands of GOES-12(Geostationary Operational Environmental Satellite) geostationary satellite and AMSR-E(Advanced Microwave Scanning Radiometer for the Earth Observing System) to monitor snow cover in east of USA and discuss the application method.Snow index,multi-temporal data combination and decision-tree classification are used in monitoring the snow cover.Temporal stability test and climatic surface temperature test are used to further discriminate snow and cloud.Snow cover result also combined with AMSR-E daily snow products to remove the cloud effect.This method performs well in monitoring snow cover which removes more cloud and get more information of the surface.Using NOAA/NESDIS IMS daily snow cover products and station observations to compare and validate the snow cover images,the accuracy is about 86% and 90%,respectively.The operational geostationary satellites of China are FY-2D/2E,which have the same band information of GOES.This method can be used in monitoring snow cover of China in further study.
Key words:  GOES      Geostationary satellite      AMSR-E      Snow cover     
Received:  12 June 2012      Published:  14 March 2014
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Yang Juntao
Jiang Lingmei
Pan Jinmei
Zhang Lixin

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Yang Juntao,Jiang Lingmei,Pan Jinmei,Zhang Lixin. Study of Monitoring Snow Cover Using GOESGeostationary Satellite and AMSR-E. Remote Sensing Technology and Application, 2013, 28(5): 920-927.

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http://www.rsta.ac.cn/EN/     OR     http://www.rsta.ac.cn/EN/Y2013/V28/I5/920

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