Urbanization is becoming one of the major cause of land use land cover change particularly in developing countries and this transformation of land to urban and constructed-up is altering an area's overall climate and physical features. To study the relationship between population growth, urban sprawl, conversion of land use, and its effect on the environment, the land cover analysis and its transformation are the main factors considered. The present study utilizes the Landsat data (TM and OLI) for the years 1989,1999,2013 and 2019 to detect the land use changes (Urbanization, vegetation, barren land, and water) in 11 different fast-growing cities in Pakistan using the supervised image classification method and to understand how these cities have been spreading. Later, the impact of population growth was examined with an increase in urbanization using Pearson’s correlation. The results indicated that the built-up areas within these cities have been expanding significantly as the population has grown over this period. In fact, there is a clear and moderate positive connection of R2=0.392 between the growth in population of 1998 and the expansion of urban areas in 1999. Similarly, a correlation of 0.697 (R2= 0.50) between 2017 census data and 2019 urban area characteristics implies a recognizable relationship between the demographic composition of the population and the corresponding urban attributes. To enhance the full benefits of urbanization in Pakistan, it is essential to undergo a significant transformation in the governance of cities. Despite their considerable economic contributions, cities have been absent from broader policy discussions. Furthermore, the failure to acknowledge the continuous growth of cities hinders urban planners and city managers from adopting a holistic and adaptive approach to address urban challenges. The lack of data on cities and faulty methods for estimating urbanization further complicate the issue, resulting in an understatement of the truth of urbanization. The capacity to effectively address the needs of cities remains uncertain and challenging.