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Remote Sensing Technology and Application  2018, Vol. 33 Issue (5): 820-829    DOI: 10.11873/j.issn.1004-0323.2018.5.0820
    
Land Surface Temperature Retrieval and Its Spatial Heterogeneity in Summer in Chongqing
Li Jun1,2,3,Gong Wei4,Xin Xiaozhou4,Gao Yanghua5
(1.College of Geography and Tourism,Chongqing Normal University,Chongqing 401331,China;2.Key Laboratory of GIS Application of Chongqing,Chongqing 401331,China;3.Chongqing Key Laboratory of Earth Surface Processes and Environmental Remote Sensing in Three Gorges Reservoir Area,Chongqing 401331,China;4.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Institute ofRemote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University,Chinese Academy of Sciences,Beijing 100101,China;5.Chongqing Institute of Meteorological Science,Chongqing 401147,China )
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Abstract  Land Surface Temperature(LST)is an important parameter in land surface energy budget.In order to improve the accuracy of LST retrieval by remote sensing methods in summer in urban districts of Chongqing with hot and humid atmosphere condition.an improved methodology was presented with the improved atmospheric transmittance estimated on MODTRAN software using the atmospheric profile data of MERRA in urban districts of Chongqing.LST was retrieved from Landsat 8 TIRS band 10 data using single-window algorithm which apply the improved and unimproved atmospheric transmittance respectively.Then the retrieved LST was compared with the 0 cm soil temperatures observedby 4 meteorological stations.Finally,the spatial heterogeneity of LST was analyzed.The result indicated that:(1)The scheme proposed in this paper can improve LST retrieval in summer in urban districts of Chongqing.The Mean Absolute Error(MAE)decrease from 4.89 K to 1.73 K.(2)The retrieved LST has spatial heterogeneity with different terrain factors.Its lapse rate is about 1.17 K/100 m.It decreases with the increase of slope.Moreover,it has obvious differences with aspect.The flat slope>sunny slope>semi-sunny slope>semi-shady slope>shady slope.There also existed highly significant correlation between the LST and hill shade.The LST increases with the decrease of hill shade.(3)Influenced by land cover,the spatial distribution of LST showed significant differences.The average LST inthe built\|up area is highest,while the wet land is lowest.The difference of average LST in other land cover types is little.
Key words:  Single-window algorithm      Land Surface Temperature(LST)      Atmospheric parameter      Landsat 8      MERRA     
Received:  25 June 2018      Published:  22 February 2019
ZTFLH:  P237  
  TP79  
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Li Jun
Gong Wei
Xin Xiaozhou
Gao Yanghua

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Li Jun, Gong Wei, Xin Xiaozhou, Gao Yanghua. Land Surface Temperature Retrieval and Its Spatial Heterogeneity in Summer in Chongqing. Remote Sensing Technology and Application, 2018, 33(5): 820-829.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2018.5.0820     OR     http://www.rsta.ac.cn/EN/Y2018/V33/I5/820

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