Land Use and Land Cover (LULC) change is a critical driver of environmental transformation, influencing ecosystem functions, soil stability, and resource sustainability. Effective monitoring of these changes is essential for developing sustainable land management and soil conservation strategies. The integration of remote sensing and Geographic Information Systems-GIS has revolutionized LULC assessment by enabling precise spatial and temporal analyses. Methods such as image classification, principal component analysis (PCA), and object- or pixel-based approaches are widely used to track land cover transitions, while advanced platforms like QGIS, ArcGIS, and Google Earth Engine have improved efficiency and scalability. LULC modifications exert a direct influence on soil erosion dynamics, with deforestation, agricultural intensification, and urbanization amplifying erosion risks due to reduced vegetative cover and altered hydrology. GIS-based erosion models, particularly the Revised Universal Soil Loss Equation (RUSLE), provide valuable tools for estimating soil loss under varying land use conditions. Research consistently highlights greater erosion vulnerability in agricultural and urban landscapes compared to forested areas, which provide natural protection through canopy and root systems. Tailored conservation strategies such as contour farming, agroforestry, and green infrastructure are therefore vital. Integrating LULC change detection with erosion modeling supports informed planning, soil health maintenance, and long-term environmental sustainability.