摘要
基于2009年北京西城区1月份的TM影像,利用覃志豪的单窗算法对西城区地表温度进行了反演,并通过SPOT5影像提取的居民小区分布图获取了西城区居民小区温度分布图。然后,基于热红外成像仪实测居民小区温度对居民小区温度TM6反演结果进行了验证。结果表明:居民小区的反演温度与红外热像仪实测温度具有高度的相关性,R2可达0.8416,基于TM6反演的居民小区温度信息可以有效地反映居民小区建筑热散失差异。通过与实地调查居民小区建筑及供暖信息相结合,可对居民小区的建筑节能进行科学地评价。
Based on TM image acquired in winter,2009,the Land Surface Temperature(LST) of Xicheng district in Beijing was estimated by utilizing Mono-window algorithm,and the residential area's LST was obtained with the residential area distribution map,which was from SPOT5 classification.Then,TM6-inverted LST were verified through using residential districts' LST measured by thermal infrared imager.The results showed that: TM6-inversed and field-measured residential districts' LST correlated highly,with a high R2(up to 0.8416).Therefore,TM6-inversed residential districts' LST can effectively reflect heat loss difference between different residential districts.Combined with the field survey information,such as construction structure,heating type,residential districts' energy saving assessment would be carried out scientifically.
出处
《遥感技术与应用》
CSCD
北大核心
2009年第6期766-771,I0002,共7页
Remote Sensing Technology and Application
基金
国家科技支撑项目(2006BAJ11B09)
关键词
单窗算法
地表温度反演
热散失
建筑节能
Mono-window algorithm
LST estimation
Heat loss
Building energy saving