Introduction
- In the wake of severe monsoon-triggered landslides, IIT Delhi has developed its first National Landslide Susceptibility Map.
About National Landslide Susceptibility Map
- High-Resolution Mapping: The map offers a detailed (100 sq. m resolution) overview of landslide susceptibility across India, including previously unrecognized areas.
- Revealing New Risk Zones: It highlights traditional high-risk areas and uncovers new regions of concern, broadening the scope of landslide monitoring.
- Innovative Analysis Method: An ensemble machine learning approach was utilized to enhance prediction accuracy and address data gaps in uncharted regions.
- Advantages of Ensemble Models: This method effectively combines multiple models to provide a more reliable estimation of landslide risks.
Data Gathering and Analytical Process
- Extensive Data Compilation: Researchers collated data on around 150,000 landslide incidents from various sources, including the Geological Survey of India.
- Identifying Contributing Factors: The team pinpointed 16 critical factors influencing landslide susceptibility, utilizing tools like GeoSadak for remote data collection.
Implications for Disaster Management
- Tool for Stakeholders: The map serves as a critical resource for government bodies, disaster management authorities, and organizations focused on landslide mitigation.
- Enhancing Preparedness and Planning: It will facilitate vulnerability assessment, infrastructure planning, and implementation of mitigation measures.
Need for such map
- Persistent Hazard: Landslides, affecting a small but significant portion of India, pose a recurrent threat, especially in hilly regions.
- Challenges in Management: The localized and sporadic nature of landslides has historically hindered effective tracking and prediction, underscoring the need for a comprehensive mapping solution.
Future Directions and Public Accessibility
- Developing an Early Warning System: Building on the map, efforts are underway to create a comprehensive Landslide Early Warning System.
- Infrastructure Vulnerability Cartogram: A cartogram to identify susceptible infrastructure is also in progress.
- Public Access and Engagement: The map and its data will be accessible through a web interface, promoting public interaction and awareness.
