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Summary

The paper focuses on susceptibility mapping for natural hazards in Kuala Lumpur, Malaysia, using remote sensing and Geographic Information System (GIS) techniques. It involved extracting and weighting five critical thematic layers, including geological fractures, stream networks, micro-depressions, slope, and lithological contacts, using automated algorithms. To validate the natural hazard probability model, the results were compared with published landslide locations and geophysical and geotechnical maps of Kuala Lumpur, demonstrating a strong agreement.