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Proceedings Paper

Relating urban surface temperature to surface characteristics in Beijing area of China
Author(s): Weidong Liu; Liping Lu; Caihua Ye; Yonghong Liu
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Paper Abstract

The surface environment and the thermal infrared information of remote sensing have been widely used to study urban climate. In this paper, the Landsat Thematic Mapper (TM) data acquired in 2008 were applied to study the relationship between urban surface temperature and surface characteristics within the Beijing 5th ring road area of China. The thermal band data of TM combined with classification-based surface emissivity were utilized to estimate land surface temperature (LST). Meanwhile, surface characteristics parameters, such as the Normalized Difference Vegetation Index (NDVI), the Modified Normalized Difference Water Index (MNDWI), the Normalized Difference Building Index (NDBI) and the Normalized Difference Bareness Index (NDBaI) were calculated according to related arithmetic respectively. The quantitative relationship between LST and NDVI, MNDWI, NDBI and NDBaI were investigated according to urban main land use/cover types (water body, vegetation and built-up surfaces). The results showed there were negative correlations between LST and NDVI, MNDWI for vegetation and built-up land use/cover types, positive correlations between LST and NDBI, NDBaI for vegetation and built-up land use/cover types. In general, in the area 5th ring road of Beijing the distribution of NDVI, MNDWI and NDBI directly defined the distribution of LST. For built-up land use/cover type, the NDVI was small, However, NDBI and LST were high. While in the area with more water and vegetation, the NDVI and MNDWI were high and LST was small. There were obvious correlation between LST and urban surface characteristics.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982I (30 October 2009); doi: 10.1117/12.833679
Show Author Affiliations
Weidong Liu, Institute of Urban Meteorology (China)
Liping Lu, Institute of Urban Meteorology (China)
Caihua Ye, Beijing Climate Ctr. (China)
Yonghong Liu, Beijing Climate Ctr. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications

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