Land surface temperature is increasing as compared from year to year, mainly due to Land Use/ LandrnCover change. The research aimed to assess the Spatio-temporal change of Land surface temperature fromrn1990-2020 in Addis Abeba and the surrounding area. Rapid urbanization and unmanaged land-use lead tornfast change in LU/LC classes and cause an increase in Land surface temperature. Land surface temperaturernis a key parameter as a showing of climate change and input for making planning and decision-making.rnKnowing the impact of change in the land surface temperature of an area characterized by different landrnuse/ land cover, climate, topography, and vegetation serves to formulate land management and land-usernstrategies. Land Use/Land Cover, normalized difference vegetation index, and Land Surface temperaturernwere extracted from Landsat TM (1990), Landsat ETM+ 2000, Landsat TIRS 2010, and Landsat 8 TIRSrn2020 using geospatial tools. Land Surface temperature was calculated using the Split window algorithmrntechnique. The supervised classification algorithm was used in Land use /Land cover change detectionrnusing Erdas imagine and ArcGIS software packages. The result of LU/LC of 1990 and 2000 showed thatrnthe dominant classes were farmland and shrub whereas in 2010 and 2020 years the largest portion wasrndominated by farmland, built up and grassland of the total area. The calculated NDVI result of 1990, 2000,rn2010, and 2020 showed that the Entoto, Menagesha, and Yerer Mountain of the study area has a higherrnvalue and these are Central parts of the study area around Addis Abeba town and water body areas havernrelatively low NDVI values. The study indicated that the highest LST was recorded in 2020. The analysisrnfrom such images indicated that the LST value of the study period ranged from the lowest LST value inrn1990 36.8 Â°C to the highest LST value 38.3Â°C in 2020. The study implies the LST of different land classesrnhas increased from 1990 - 2020 as a result of the decrease in forest cover and vegetation cover in the studyrnarea. In the present study, the zonal statics of LU/LC and LST result shows Land Surface Temperature hasrnan inverse relation with vegetation cover. Understanding the influence of LST on the environment possiblyrnwill serve to land management and planning strategies focused on land Surface temperature mitigation andrnthe adaptation of study area to the challenges of climate change.