The principal aim of this study was to depict the spatio-temporal analysis of urban land use changes of Sulakbahar Ward (No. 8) of Chittagong City from 1998 -2018 by using Landsat 8 OLI-TIRS, Landsat 5TM and Landsat 2MSS satellite imagery. The ArcGIS v10.4 and ERDAS Imagine v15 software were used to process satellite imageries and assessed quantitative data for land use change detection and assessment of this study area. Maximum Likelihood Classification (MLC) algorithm was used for the assessment of supervised land use classification. The study revealed that trends of land use changes from 1998-2018 showed some negative changes; but from 2008-2018 showed comparatively better changes than 1998-2008. It is evident that forest coverage, water body and fallow land decreased whereas infrastructure and road area increased. Maximum increase of infrastructure area were from 41.25% (219.13ha) in 1998 to 49.12% (260.90ha) in 2018 whereas the maximum decrease in fallow land that have been observed from 8.70% (46.19ha) of 1998 to 2.66%(14.12ha) in 2018. Projection of future land use changes for the next 20 years predicts that more than 186.92% Water body (10ha) and 212.46% Fallow land (30ha) tend to decrease; on the other hand, 10.65% Forest coverage (6ha), 9.20% Infrastructure (24ha) and 5.14% Road area (10ha) tend to increase in 2038. The overall accuracy for supervised classification images of 2018, 2008, and 1998 was found to be 93.92%, 87.50% and 87.57%; Kappa value for those years was 0.91, 0.82 and 0.82 respectively. This analytic study would be helpful to the urban planners and decision makers for making a sustainable based urban planning of modern and healthy Ward of Chittagong City Corporation (CCC), Bangladesh.