High-resolution satellite imagery, specifically sourced from the Esri Landcover database, was obtained from the Esri Sentinel 2 Landcover webpage for two distinct temporal frames: the years 2020 and 2024. This advanced dataset provides critical insights into land cover dynamics and changes over time. Following procurement, the images were imported into the ArcGIS environment for comprehensive data preparation and processing.

To ensure a precise analysis, a shapefile delineating the boundary of the study area was also integrated into the ArcGIS environment. This facilitated the execution of masking techniques to accurately focus on the area of interest. Furthermore, land use and land cover (LULC) classes were classified following the standardized Esri LULC classification system, which is pivotal for understanding the ecological and anthropogenic factors influencing land transformations.

After processing, the prepared data was transferred to the layout view within ArcGIS. In this phase, various map elements such as legends, scales, titles, and additional marginal information were meticulously incorporated to enhance the clarity and interpretability of the final output maps. Upon finalizing the layout, the completed maps were exported to the local computer system for subsequent analysis and further dissemination.

The preliminary findings from the analysis indicate a significant decline in cloud cover and tree cover within the study area. This reduction may have implications for local climate regulation, biodiversity, and ecosystem services. Conversely, there has been a marked increase in rangeland, built-up areas, and agricultural land, indicating a shift towards greater anthropogenic activity and potential land-use intensification. These trends underscore the dynamic landscape changes occurring between 2020 and 2024, highlighting the need for targeted environmental management strategies to address the consequences of such transformations.

Overall, this study emphasizes the value of high-resolution satellite imagery in monitoring land cover changes, providing crucial information that can inform sustainable land management practices and environmental policy decisions. The integration of advanced GIS tools further enhances the capacity to analyze spatial data, thereby contributing to a deeper understanding of land use trends and their associated impacts on both the environment and human activity.