中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Study of Urban Heat Island Based on Remote Sensing in Beijing-Capital Zone

文献类型:会议论文

作者Meng, Dan ; Gong, Huili ; Li, Xiaojuan ; Zhao, Wenji ; Gong, Zhaoning ; Zhu, Lin ; Hu, Deyong
出版日期2009
会议名称Joint Workshop on Urban Remote Sensing
会议日期MAY 20-22, 2009
会议地点Shanghai, PEOPLES R CHINA
英文摘要The paper focused on Spatial and temporal distribution of thermal environment by Land Surface Temperature(LST) and brightness temperature retrieved from ASTER and Landsat TM/ETM in Beijing-capital zone, and analyzing scale effect of multi-resolution LST data (LST retrieved by ASTER and MODIS LST product)with the variety of landuse and NDVI. The result showed that the UHI phenomena had increasing tendency. LST waved with difference of the landuse, the highest was in bare-land, and the lowest was in water. Green island was composed Mainly by forest and water, while heavy heat island and serious beat island was mainly composed by built-up and bare-land. The linear equation with a strong negative relationship between means of NDVI and means of LST( ASTER retrieval LST and MODIS LST product) associated with the five cover types has been established. Cross-validation among the LST images retrieved from ASTER and MODIS LST product are reliable. The different spatial resolution of the thermal sensors can be used in urban studies demanding different levels of details. The MODIS thermal sensor can be used for the overview of urban thermal environment. The ASTER, with its TIR 90-m resolution, can be used for more accurate monitoring thermal patterns.
会议主办者Int Soc Photogrammetry & Remote Sensing, IEEE Geoscience & Remote Sensing Soc, Shanghai Assoc Sci & Technol
会议录2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
源URL[http://159.226.123.10/handle/322005/4747]  
专题东北地理与农业生态研究所_合作研究组
推荐引用方式
GB/T 7714
Meng, Dan,Gong, Huili,Li, Xiaojuan,et al. Study of Urban Heat Island Based on Remote Sensing in Beijing-Capital Zone[C]. 见:Joint Workshop on Urban Remote Sensing. Shanghai, PEOPLES R CHINA. MAY 20-22, 2009.

入库方式: OAI收割

来源:东北地理与农业生态研究所

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