中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Land surface temperature variation and major factors in Beijing, China

文献类型:期刊论文

作者Xiao, Rongbo ; Weng, Qihao ; Ouyang, Zhiyun ; Li, Weifeng ; Schienke, Erich W. ; Zhang, Zhaoming
刊名PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
出版日期2008-04
卷号74期号:4页码:451-461
英文摘要Land surface temperature (LST) is a significant parameter in urban environmental analysis. Current research mainly focuses on the impact of land-use and land-cover (LULC) on LST. Seldom has research examined LST variations based on the integration of biophysical and demographic variables, especially for a rapidly developing city such as Beijing, China. This study combines the techniques of remote sensing and geographic information system (GIS) to detect the spatial variation of LST and determine its quantitative relationship with several biophysical and demographic variables based on statistical modeling for the central area of Beijing. LST and LULC data were retrieved from a Landsat Thematic Mapper (TM) image. Building heights were delimited from the shadows identified on a panchromatic SPOT image. The integration of LULC and census data was further applied to retrieve grid-based population density. Results indicate that the LST pattern was non-symmetrical and non-concentric with high temperature zones clustered towards the south of the central axis and within the fourth ring road. The percentage of forest, farmland, and water per grid cell were found to be most significant factors, which can explain 71.3 percent Of LST variance, Principal component regression analysis shows that LST Was positively correlated with the percentage of low density built-up, high density built-up, extremely-high buildings, low buildings per grid cell, and population density, but was negatively correlated with the percentage of forest, farmland, and water bodies per grid cell. The findings of this study can be applied as the theoretical basis for improving urban planning for mitigating the effects of urban heat islands.
WOS记录号WOS:000254647300008
源URL[http://ir.rcees.ac.cn/handle/311016/21845]  
专题生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式
GB/T 7714
Xiao, Rongbo,Weng, Qihao,Ouyang, Zhiyun,et al. Land surface temperature variation and major factors in Beijing, China[J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,2008,74(4):451-461.
APA Xiao, Rongbo,Weng, Qihao,Ouyang, Zhiyun,Li, Weifeng,Schienke, Erich W.,&Zhang, Zhaoming.(2008).Land surface temperature variation and major factors in Beijing, China.PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,74(4),451-461.
MLA Xiao, Rongbo,et al."Land surface temperature variation and major factors in Beijing, China".PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 74.4(2008):451-461.

入库方式: OAI收割

来源:生态环境研究中心

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