1Department of Civil Engineering, Basaveshwar Engineering College, Visvesvaraya Technological University, Bagalkote-587 102, Belagavi, Karnataka, India.
2Guru Nanak Dev Engineering College, Visvesvaraya Technological University, Bidar-585 403, Belagavi, Karnataka, India.
*Corresponding Author: P. Manju Kumar, Department of Civil Engineering, Basaveshwar Engineering College, Visvesvaraya Technological University, Bagalkote-587 102, Belagavi, Karnataka, India. Email: manjukumarp10@gmail.com
LULC analysis helps understand land use patterns and supports sustainable land management. Bagalkote City has undergone major changes due to the Almatti Dam’s submergence, leading to urban relocation and rapid expansion.
Landsat IV (1991) and Sentinel-2 (2021) images were classified into four categories using ArcGIS 10.8. MLC and Random Forest algorithms were applied for classification and change detection. Accuracy was validated through confusion matrices and ground-truthing, achieving 87.2% and 89.6% accuracy for 1991 and 2021, respectively.
Built-up areas increased by 1295.87% (28.25 km2), mainly due to leapfrog development into zones like Vidyagiri and Navanagar. Urban expansion was analysed within Bagalkote’s boundary and a 4 km buffer.
Confusion matrix and MLC algorithm, Google earth engine (GEE), Land use land cover (LULC), Random forest, Remote sensing and GIS
