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《Arid Land Geography》 2006-01
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Comparison between three different methods of retrieving surface temperature from Landsat TM thermal infrared band

HUANG Miao-fen1 , XING Xufeng1 , WANG Pei-juan2 , WANG Changzuo3(1 School of Marine Engineering,Dalian Fisheries University,Dalian 116023,Liaoning,China;2 Research Center of RS and GIS,College of Geography and RS Science,Beijing Normal University;Beijing 100875,China 3 Preparing Office for Center of Environmental Satellite,Central Station of Environmental Monitoring,State Bureau of Environmental Protection,Beijing 100029,China)  
Surface temperature has an important applying value in the research fields of climate change,vegetation ecology,environmental monitoring,urban heat-island effect,etc.,and is also an important input parameter in the monitoring and RS models of surface flux(including sensible heat flux,latent heat flux and CO2 flux),soil moisture content,yield estimation of crops,moisture stress of crops,etc.It is currently one of the means to derive spatial distribution of large-area surface temperature by applying satellite thermal infrared sensors,and how to retrieve the data of surface temperature from thermal infrared RS data is paid great attention to.In this paper,based on the atmospheric profile data and 5 scenes of Landsat TM thermal infrared band(TM6) images of Beijing,which were obtained on January 28,April 1,April 17,May 19 and July 6,2004 separately,the corresponding data of surface temperature were retrieved with three different methods(thermal radiance transfer equation,mono-window algorithm carried out by Qin Zhihao in 2001,mono-window algorithm carried out by Jimёnez-Mu?oz Sobrino in 2003).The retrieved data are compared and analyzed.The results show that the data retrieved by thermal radiance transfer equation are highly similar to that retrieved by mono-window algorithm by Qin Zhihao.Therefore,when the in situ atmospheric profile data are unavailable,the mono-window algorithm by Qin Zhihao can be used to retrieve the data of surface temperature from one thermal infrared band of Landsat TM images,and the precision of the retrieved data of surface temperature is acceptable.
【Fund】: 国家自然科学基金(40271081);; 北京市自然科学基金重点基金(4051003);; 大连水产学院院科研项目(051692)
【CateGory Index】: P412.11
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