Urban areas are the most dynamic regions in the world which always have a rapid change inrnboth demographic and spatial dimensions. Urbanization is the main cause of global climaternchange and currently, it is a rising trend globally in general and in Ethiopia in particular. It hasrna significant influence on land use by substituting areas of natural resources and vegetation withrnimpervious surfaces like built-up asphalt road and parking lots; which in turn increases the LST.rnThe objective of the study was to assess urbanization/LULC and its impacts on LST in urbanrnareas through taking in and around Gondar town. Supervised classification with maximumrnlikelihood algorithm was used to assess the LULC changes and the split-window algorithm wasrnused to extract LST from Landsat imageries which were acquired from 1988, 2002, and 2018 ofrnthe same seasons and MODIS LST was used to validate land surface temperature that wasrnderived from Landsat thermal bands. Pearson correlation was used to analyze the relationshiprnbetween LST and LULC indices (NDVI and NDBI). The results show that there is a significantrnchange in LULC especially the built-up area of the study area which becomes more than triplernover the study period from 2.85% - 12.82%. However, Vegetation areas are decreased fromrn18.78% to 11.4 % from 1988 to 2018. This implies that the areas covered by natural resourcesrnand vegetation are replaced with man-made features. Agricultural and bare land areas are alsornslightly decreased through the study period. This study shows that the LST of Gondar townrnranges from 13.44 ℃ to 41.32 ℃ from 1988-2018. LST has a positive relationship with NDBIrnand a negative association between NDVI. Vegetated land and water bodies have low LST. rnHowever, most of the agricultural land, bare land, and central parts of Gondar town have highrnLST. There was a LULC change in Gondar town and it causes an increase in LST from 19882018.rnrnTherefore, the concerned body should have better environmental management strategiesrnand thermal refreshing mechanisms.