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The introduction of new surface materials coupled with emission of heat, moisture and pollutants change radiative, thermal and emission properties of the surface and the atmosphere above [1]. Such modifications, normally due to urbanization, lead to a modified thermal climate which is warmer than the surrounding non-urbanized areas, particularly at night [2]. The objectives of present research are to analyze the spatial pattern of the night land surface temperature (LST) observed by remote sensing satellites and to investigate the effect of vegetation and urbanization over LST of Jaipur city, India. Enhanced vegetation index (EVI) has been used as an indicator for vegetation level and road density for level of urbanization. The study has been undertaken for summer, monsoon and winter seasons. Since the average night temperatures for different seasons are different, Normalized LST (NLST) for each season was calculated using maximum and minimum temperatures of that image. Road network map was used to calculate road density (RD) per pixel. It was found that about 3% pixels with highest RD values, representing highest level of urbanization, had lowest EVI values. It was also observed that all the pixels in the lower 25% range of NLST values were only those pixels where RD value was less than 5, indicting correlation between NLST and RD. In winter season, a reasonable good negative correlation is seen between EVI and NLST. For pixels having zero RD, representing non-urbanized areas, no correlation was found between NLST and EVI. Study concludes that even though there is some correlation between LST, EVI and RD, effect of …