MACHINE LEARNING–BASED LULC CLASSIFICATION IN THE ASAKA DISTRICT (1995–2025)
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In this study, Landsat 5 data from 1995 and Landsat 8 data from 2025 were used, with both datasets acquired in May. A supervised machine learning approach based on the Support Vector Machine (SVM) algorithm was applied to classify land use and land cover (LULC) in the Asaka District. As a result, LULC maps and land use change maps of the study area were generated.
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