P-011GIS, Climate & Disaster ManagementPublished
AI Mountain Disaster Early-Warning Intelligence
Build a geospatial early-warning platform that combines historical and near-real-time environmental data to monitor mountain hazards and communicate explainable risk assessments to disaster-management teams.
Theme
Building Disaster Resilience Through Geospatial Analysis
Problem Owner
Disaster Mitigation and Management Centre (DMMC), UttarakhandUKIS can help facilitate an introduction and conversation with this problem owner.
… accepted solutions
Participate solo or in one team of 2, 3, or 4 people. Each person may participate only once and cannot enter both individually and as part of a team, or join more than one team.
Proposed Capabilities
- Monitor glaciers and analyse snow-cover change
- Assess flash-flood and landslide risk
- Monitor fragile mountain slopes for meaningful change
- Combine weather, terrain, hydrology and remote-sensing layers
- Issue explainable, severity-based warnings for high-risk locations
Expected Outcomes
- Earlier warning of mountain hazards
- Improved disaster preparedness and response
- Better prioritisation of field monitoring
- Greater climate and disaster resilience
Accepted Solutions
Only solutions that have been reviewed and accepted are listed here.
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