Heat island phenomenon has been became to one of the serious problems that have been developed due to the concentrations of human activities on urban areas. Therefore, it is necessary to account for the surface form over urban area in order to understand the mechanism of heat island phenomenon. In this study, multiple linear regression analysis was applied between brightness temperature acquired from satellite images (Landsat-5/band6) and several urban area surface parameters that seem to affect the heat island phenomenon in the study area. The parameters used in the analysis are as follows thermal characteristic value, anthropogenic heat, ratio of green coverage, distance from north side of Tokyo Bay, elevation of average, and parameters of buildings form. The parameters of buildings form are consist of height of building, ratio of building sites, and building roughness that are the main constituent of the urban area. The result shows that during daytime, elevation of average increase brightness temperature, whereas the ratio of green coverage and height of building decrease brightness temperature. During nighttime, height of building, distance from north side of Tokyo Bay increase brightness temperature, whereas the ratio of green coverage, elevation of average decrease brightness temperature.
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