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基于地表辐射亮温标准化的城市热环境遥感研究——以上海市为例
引用本文:陈云浩 宫阿都 李京. 基于地表辐射亮温标准化的城市热环境遥感研究——以上海市为例[J]. 中国矿业大学学报, 2006, 35(4): 462-467
作者姓名:陈云浩 宫阿都 李京
作者单位:北京师范大学资源学院,北京100875
基金项目:国家高技术研究发展计划(863计划);高等学校博士学科点专项科研项目;国家重点实验室基金
摘    要:基于消除多时相遥感影像图像差异的重要性,在地表实测数据的支持下,分析了多时相热红外遥感影像地表辐射亮温标准化的方法,采用了辐射一致化和初温一致化2个步骤对图像进行处理,并以上海市为例研究了城市热环境的时空演变规律.结果表明:该方法可以明显消除不同成像条件对热红外遥感数据的影响,为城市空间热环境变化研究提供了有力工具.同时,通过统计分析和剖面分析表明,上海城市的扩展对城市热场的年变化幅度有放大作用;上海城市热中心并不在市中心,而位于能耗大、热源强度高的工业区.城市能耗和下垫面性质差异是影响城市热场差异的主导因素;通过剖面分析城区热场的细部结构,反映出城中心区亮温差异有正在缩小的趋势.

关 键 词:城市热环境  热红外  遥感  亮温  辐射标准化
文章编号:1000-1964(2006)04-0462-06
收稿时间:2005-04-13
修稿时间:2005-04-13

Study of Urban Thermal Environment Using Remote Sensing Data Based on Radiation Normalization
CHEN Yun-hao, GONG A-du, LI Jing. Study of Urban Thermal Environment Using Remote Sensing Data Based on Radiation Normalization[J]. Journal of China University of Mining & Technology, 2006, 35(4): 462-467
Authors:CHEN Yun-hao   GONG A-du   LI Jing
Abstract:Based onthe importance of eliminating the difference of multi-temporal remote sensing(RS) images,a modelfor calibration of thermal temperature wasdeveloped according to the characters of multi-temporal thermal infrared remote sensing data.In this model,two steps including radiation normalization and original surface temperature normalization were used to complete the RS image processing and the space-time evolution characters of urban thermal environment change process were also analyzed througha case study in Shanghai.The results show that the impact of different imaging conditionsto thermal infrared RS images can be clearly eliminated by this method,so this approach provides a reliable tool for studying urban thermal environment change;the urban expansion has a magnifying effectto the inter-annualchange extent of urban thermal fieldin Shanghai;the urban thermal center is not the midtown but the industrial parkwith enormous energy consumption and high heat intensity;the dissipation energy and underlaying surface characters difference is the primary factors on the difference of the urban thermal field;and the brightness temperature in urban center area is reducing.
Keywords:urban thermal environment   thermal infrared   remote sensing   brightness temperature  radiation normalization
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