LAND USE AND LAND COVER CHANGE ANALYSIS USING SENTINEL-2 SATELLITE IMAGERY FROM 2019 TO 2024

This research aims to analyze the land use and land cover change (LULCC) in Yang Talat District, Kalasin Province, using Sentinel-2 satellite imagery from 2019 to 2024. A supervised classification technique, specifically the Spectral Angle Mapper (SAM) algorithm, was employed to classify land use into six main categories: built-up areas, forest, water bodies, paddy fields, shrimp farms, and field crops. The accuracy assessment of the classified maps demonstrated high reliability, with an overall accuracy of 88.33% for 2019 and 89.00% for 2024. The change analysis revealed a significant increase in field crops (+39.82%) and shrimp farms (+35.23%), while forest area decreased by -9.60% and paddy fields by -1.35%. The transition matrix analysis confirmed that the most notable changes were the conversion of forest and paddy fields into field crops and built-up areas. These findings highlight the dynamic nature of LULCC in the study area, influenced by socioeconomic factors. The results provide valuable data for local policymakers to develop sustainable land management strategies