Khulna City Corporation (KCC) has undergone the quickest urban development and expansion in recent times. These changes, including the change in land surface temperature (LST) throughout the area, have significant long-term effects. This research analyzed the effects of Land Cover Changes on Khulna City Corporation's LST (KCC). By using the Maximum Likelihood Classification Method, the Landsat Imagery investigation identified the Land Cover Chart and determined the LST for the years 1999, 2009, and 2019. It was modeled for the Simulation Land Cover for the year 2029 by using the classification results and applying the Multi-Layer Perceptron Markov (MLPM) models together. It then also modeled the LST for the year 2029 by using three thematic indices and multiple regression analysis. As a result, the Khulna City Corporation (KCC) urban area grew by 49 percent between 1999 and 2019. Simulation results have shown that the Khulna City Corporation (KCC) would possibly experience a temperature range of more than or equal to 26 ° C in 2029 if the recent pattern persists. For the Khulna City Corporation (KCC), the average LST for the urban area is projected to be 27° C in 2029. The scenario shown in this paper would assist urban planners in quantifying the impacts of various LST change-related issues and thus preparing proper strategic measures.