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《Acta Oceanologica Sinica》 2007-03
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Atmospheric correction of using Landsat data to retrieve sea surface temperature in coastal waters

XING Qian-guo1,2,3,CHEN Chu-qun1,SHI Ping1,2(1.Yantai Institute of Coastal Zone Research for Sustainable Development,Chinese Academy of Sciences,Yantai,264003 China;2.LED,South China Sea Institute of Oceanography,Chinese Academy of Sciences,Guangzhou 510301,China;3.Guangdong Public Laboratory of Environmental Science and Technology,Guangzhou 510650,China)  
A mono-window algorithm was introduced to retrieve Sea Surface Temperature(SST) using Landsat data in coastal waters.In this algorithm,the effective mean air temperature and the water vapor content of air column were estimated with the local meteorological parameters of air temperature and relative humidity,based on the facts in troposphere: 1,air temperature decrease linearly with the altitude,and 2,water vapor concentration lapses exponentially with the altitude.The sea-truth temperature data and MODIS Terra SST product were used to validate the SST retrieved from Landsat TM and ETM+ Thermal Infrared(TIR) data with the algorithm.The results show that the algorithm can improve the spatial temperature contrast which is often masked due to water vapor effects,and the temperature derived from the algorithm is closer to the sea-truth SST.When applying the algorithm,the initial parameters of air temperature and relative humidity can be easily collected from local meteorological stations,and there is no need to identify the model of air profile.
【Fund】: 国家863项目(2002AA639130);; 广东省科技创新项目(2KB06701S)
【CateGory Index】: P731.11
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