Maps and land use change monitoring now heavily rely on satellite photography. The goal of this work is to record changes in land cover and land use by transforming satellite pictures of Meerut, an Indian city in the Uttar Pradesh region. For this study , Meerut City (Uttar Pradesh,India) is selected. Getting satellite pictures of the research region is the process's initial stage. The Landsat satellite, which takes pictures in the visible, near-infrared, and shortwave infrared bands, provided the photos utilised in this study, which were obtained from USGS. In order to adjust for atmospheric influences, the photos were pre-processed. The study involved calculating various spectral indices from processed satellite images, including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Normalized Difference Built-up Index (NDBI). These indices are commonly utilized in remote sensing to highlight distinct land cover categories. The NDVI was employed to detect vegetation cover, while the NDWI was used to identify water bodies. The NDBI served the purpose of identifying built-up areas. By applying these indices to the satellite images, land cover and land use change maps were generated. The study findings demonstrated the accurate identification of vegetation cover through the NDVI and the successful identification of water bodies using the NDWI. The NDBI effectively highlighted built-up areas, enabling more precise mapping of land use changes. Ultimately, the study concluded that incorporating spectral indices significantly enhances the accuracy of land cover and land use mapping with satellite imagery. Analyzing and interpreting transformed satellite images facilitates the creation of land-use maps, thereby supporting urban planning and management efforts. The results hold particular relevance for sustainable urban development, underscoring the importance of regularly updated land-use maps. Urban planners and policymakers can leverage these findings to make well-informed decisions regarding land use management in the study area