<![CDATA[This study aims to analyze the dynamics of land cover changes in North Musi Rawas Regency in the period 2017–2023 and triggers for flood risk using remote sensing and Geographic Information Systems (GIS) approaches. The research methods include Sentinel-2 satellite imagery classification using supervised classification techniques, accuracy validation, and spatial-temporal analysis to identify land conversion patterns and their relationship to hydrological dynamics. The results of the analysis show significant conversion of agricultural land vegetation (9,769 ha), built-up land (194 ha), shrubs (15,011 ha), and swamps (514.17 ha), which are driven by urbanization factors, expansion of the agricultural sector, and environmental degradation. These changes contribute to increased flood risk, with the area affected by the medium risk category reaching 133,586 ha, especially in Karang Dapo, Rupit, and Rawas Ilir Districts, while the low-risk area covers 31,397 ha. Meanwhile, areas with better vegetation cover show higher flood mitigation capacity. This study confirms that changes in land cover have a close correlation with increased flood risk, so that land management policies based on spatial data and the use of remote sensing technology are needed to support disaster mitigation and adaptation strategies more effectively]]>
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