Assessing disasters in East Kalimantan: machine learning approaches for sustainable urban development

This study developed a multi-hazard probability assessment using a Random forest algorithm, focusing on four major disasters: floods, landslides, forest fires, and droughts, and produced spatially differentiated risk maps and identified areas with overlapping vulnerabilities.