This study aims to detect and analyse decadal changes in Land Use and Land Cover (LULC) between 2014 and 2024 in the Warana River Basin using remote sensing and GIS tools. Landsat 8 satellite imagery was classified using a supervised classification approach in ArcGIS to map five LULC classes: agriculture, habitation, forest, waterbodies, and barren land. The analysis reveals a significant decrease in agricultural land from 650.80 sq.km (33.12%) to 460.12 sq.km (23.42%), and a reduction in waterbodies from 29.95 sq.km (1.52%) to 25.40 sq.km (1.29%). In contrast, forest cover increased from 1198.77 sq.km (61.01%) to 1325.51 sq.km (67.46%), while habitation area expanded from 85.14 sq.km (4.33%) to 151.61 sq.km (7.72%). Accuracy assessment achieved 93% overall accuracy with a Kappa coefficient of 0.914, confirming a substantial agreement with ground-truth data. The results reflect clear environmental and socio-economic impacts due to land transformation, emphasizing the need for sustainable land use planning and conservation strategies.