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Proceedings Paper

Surface temperature analysis in urban area using MODIS
Author(s): Ming Wei; Guiling Wang; Weimei Jiang; Jingjing Lu
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Paper Abstract

An attempt has been made to compare and analyze the ST (surface temperature) between MODIS (Moderate Resolution Imaging Spectroradiometer) on the Terra satellite and AWS (Automatic Weather Station) data for monitoring the establishment of UHI (urban heat island) in this study. Results show that they are in good agreement. From the distribution of ST from MODIS, the highest values of ST appear in the center of urban. The UHI is evident in the urban area and its suburb towns. Another focus of this study is to analyze the relationship between ST, land cover and NDVI (Normalized Difference Vegetation Index) over urban area in order to improve the understanding of UHI. A negative correlation is observed between NDVI and ST correlation coefficient of - 0.73. The ST over urban is the largest among all other land-covers. The mean differences of ST between urban and rural from MODIS are about 2.29K and 1.22K at about 10:30 and 22:30 in April of 2004, respectively. Through this study, it could be clarified the surface temperature characteristics of spatial distribution for urbanization in the rural area. In summary, the relationships between NDVI, land cover and surface temperature will be regarded as one of effective methodologies to make manifest urban heat island. The difference of NDVI between urban and rural region appears to be an indicator of the difference in surface properties between the two environments that are responsible for difference in urban and rural surface temperature.

Paper Details

Date Published: 19 May 2006
PDF: 9 pages
Proc. SPIE 6199, Remote Sensing and Space Technology for Multidisciplinary Research and Applications, 619905 (19 May 2006); doi: 10.1117/12.673654
Show Author Affiliations
Ming Wei, Nanjing Univ. of Information Science and Technology (China)
Guiling Wang, Nanjing Univ. (China)
Weimei Jiang, Nanjing Univ. (China)
Jingjing Lu, Nanjing Univ. of Information Science and Technology (China)

Published in SPIE Proceedings Vol. 6199:
Remote Sensing and Space Technology for Multidisciplinary Research and Applications
Qingxi Tong; Xiuwan Chen; Allen Huang; Wei Gao, Editor(s)

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