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
Ilada Aroonsri (Wed,) studied this question.
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