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Inversion of Land Surface Temperature and Its Application in Urban Agglomeration Thermal Environment Monitoring based on Tiangong-2 Data
Authors:Shi Man  Chen Jian  Qin bangyong  Li shengyang
Affiliation:(1.School of Remote Sensing and Surveying and Mapping Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,china;2.Key Laboratory of Space Utilization,Technology and Engineering Center for Space Utilization,Chinese Academy of Sciences,Beijing100094,china)
Abstract:According to the characteristics of thermal infrared spectrum of wide band imager of Tiangong-2 data,a spilt-window algorithm applied to Tiangong-2 data was proposed.Taking the South of Jiangsu urban agglomeration as the research area,the inversion of the land surface temperature was carried out.On this basis,the spatial distribution characteristics of thermal environment of South of Jiangsu urban agglomeration were analyzed through SUHI index.The results show that the split-window algorithm can be effectively applied to the thermal infrared of Tiangong-2 data.The root mean square error of land surface temperature inversion is within 1 K.The result of land surface temperature are in good agreement with the types of land use in the research area,and the temperature of the building land is the highest and the water is the lowest.A global heat island is formed in Suzhou-Wuxi-Chanzhou,and the intensity and spatial distribution of the heat island in the urban agglomeration are monitored by SUHI index.
Keywords:Tiangong-2  Wide band imaging spectrometer  Urban agglomeration  Land Surface Temperature(LST)  Heat island effect  
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