Land Use and Land Cover Change (LULCC) is a dynamic process driven by various natural and anthropogenic factors, presenting significant implications for ecosystems, biodiversity, and human societies. This abstract provides a concise overview of the key concepts, methodologies, and implications associated with LULCC. Change detection analysis plays a crucial role in monitoring and understanding dynamic landscapes over time. The study of LULCC involves examining alterations in the utilization of land and the modifications in the physical and biological cover over time. Remote sensing, Geographic Information Systems (GIS), and socio-economic data play pivotal roles in monitoring and analyzing these changes at local, regional, and global scales. The drivers of LULCC are diverse, encompassing urbanization, agricultural expansion, deforestation, climate change, and policy interventions. This study is serves as an introduction to the multifaceted nature of LULCC, emphasizing its significance in the context of environmental science, geography, and sustainable development. The research focuses on comparing the effectiveness of Landsat Enhanced Thematic Mapper Plus (ETM+) data of the year 2000 and 2010 and Sentinel 2 satellite data of 2020 for change detection applications. The research employs a comprehensive methodology, including pre-processing, image registration, and change detection algorithms. Radiometric and atmospheric corrections are applied to standardize the multispectral imagery from both sensors. Image registration techniques are utilized to ensure accurate alignment between the different datasets. The result reveals that, between 2000 to 2010 around 11.8% forest area has been declined, 6.3 % barren land and 5.4% agriculture land has been increased. In the decade of 2010 to 2020, Vegetation cover 21% and settlement area 4.6% increased