Integrating machine learning and numerical methods for enhanced landslide susceptibility and hazard mapping in the Bhotekoshi watershed, central Nepal

Key Points

• Enhanced prediction accuracy of landslide susceptibility using machine learning algorithms allows for better hazard mitigation.
• Landscapes in the Bhotekoshi watershed were analyzed, revealing critical zones prone to landslides and natural hazards.
• The approach involved a combination of machine learning techniques and numerical modeling to assess risks effectively.
• Implications suggest that this integrated strategy can significantly improve land management practices and disaster preparedness.