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天宫二号数据地表温度反演及其在城市群热环境监测中的应用 被引量:6

Inversion of Land Surface Temperature and Its Application in Urban Agglomeration Thermal Environment Monitoring based on Tiangong-2 Data
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摘要 根据天宫二号宽波段成像仪热红外谱段的特点,提出了一种适用于天宫二号数据的劈窗算法,并以苏南城市群为研究区,进行了地表温度的反演。在此基础上,通过SUHI(Surface Urban Heat Lsland)指标分析了苏南城市群热环境空间分布特征。结果表明:劈窗算法可以有效地应用于天宫二号热红外数据,地表温度反演结果的均方根误差在1K以内;研究区地表温度结果与土地利用类型有较好的一致性,建筑用地温度最高,水体最低,苏锡常城市群形成一个整体热岛效应,SUHI指标能有效监测城市群的热岛强度及其空间分布。 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 agglomera- tion 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 tempera- ture 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.
作者 石满 陈健 覃帮勇 李盛阳 Shi Man;Chen Jian;Qin bangyong;Li shengyang(School of Remote Sensing and Surveying and Mapping Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,china;Key Laboratory of Space Utilization,Technology and Engineering Center for Space Utilization,Chinese Academy of Sciences,Beijing 100094,china)
出处 《遥感技术与应用》 CSCD 北大核心 2018年第5期811-819,共9页 Remote Sensing Technology and Application
基金 中国科学院太空应用重点实验室开放基金项目(LSU2016-06-02),国家自然科学基金项目(41571418),国家-自然科学基金项目(41776181)资助.
关键词 天宫二号 宽波段成像光谱仪 城市群 地表温度 热岛效应 Tiangong-2 Wide band imaging spectrometer Urban agglomeration Land Surface Temperature(LST) Heat island effect
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