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Vegetation cover has been replaced by impervious areas in most parts of the world in recent years thus giving rise to urban heat island (UHI), in which the temperature of urban areas is several degrees higher than nonurbanized areas surrounding them (Streutkar, 2003; Voogt & Oke, 2003). Land surface temperature (LST) data of years 2005 and 2008 from Aqua/MODIS has been used for determination of maximum temperature areas (hot spots) in different imageries. The analysis has been carried out for three seasons of summer, monsoon and winter seasons. These hot spots from different imageries are compared to find the single hot spot which appears in maximum number of images. Variation in mean LST with distance from this hot spot has been analyzed. Very high correlation coefficient of 0.96-0.98 have been obtained between mean LST and distance from hot spot for different seasons. As the temperature ranges for different seasons of a particular year and for different years of a particular season are normally highly variable, it is essential to bring the different dates LST range to same range, by normalization. Normalized land surface temperature (NLST) has been calculated with values between 0 and 1 for studying the relationship between LST and distance from hot spot. The coefficient of correlation between NLST and distance from hot spots for the years 2005 and 2008 are 0.99 and 0.98 respectively, for polynomial relationship of second order, thus indicating that the UHI effect decreases with increase in distance from hot spots..