刘凯等：Multiscale analysis of urban thermal characteristics: case study of Shijiazhuang, China

Multiscale analysis of urban thermal characteristics: case study of Shijiazhuang, China
作者:Liu, K (Liu, Kai)[ 1,2 ] ; Zhang, XH (Zhang, Xiaohong)[ 1 ] ; Li, XK (Li, Xueke)[ 1,2 ] ; Jiang, HL (Jiang, Hailing)[ 1,3,4 ]
JOURNAL OF APPLIED REMOTE SENSING
卷: 8
文献号: 083649
DOI: 10.1117/1.JRS.8.083649
出版年: APR 9 2014

摘要
The urban heat island (UHI) effect caused by urbanization generally leads to adverse economic and environmental impacts. Thus, a detailed assessment of the thermal properties over individual land cover types at different spatial resolutions is required to better understand the establishment of UHI. Two scale levels are utilized to examine surface thermal characteristics in the case of Shijiazhuang, China. At the regional level, Landsat TM data are used to extract subpixel impervious surface area (ISA) and to inverse land surface temperature (LST) by means of multiple endmember spectral mixture analysis. Urban thermal characteristics are analyzed by relating the LST to normalized difference vegetation index (NDVI) and ISA. On the other hand, thermal airborne spectrographic imager data, with a high spatial resolution, are employed to describe the spatial distribution of urban thermal patterns at the local level. Results indicate that there is an approximate linear relationship among LST, NDVI, and ISA. In addition, the thermal characteristics over each land cover type are consistent at both levels, suggesting UHI is evident at Shijiazhuang and impervious surface is contributing most to this phenomenon. This confirms that different spatial scales are requested in UHI studies. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)

通讯作者地址: Zhang, XH (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[ 2 ] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
[ 3 ] Peking Univ, Inst Remote Sensing, Beijing 100871, Peoples R China
[ 4 ] GIS, Beijing 100871, Peoples R China