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КыргызчаAI for Landslide Susceptibility Mapping & Early Warning
Use AI with DEM, soil, rainfall, and triggers to map landslide susceptibility and power early warning for at-risk corridors and communities.
Landslides threaten transport, utilities, and lives. AI fuses terrain, geology, rainfall, and triggers to produce susceptibility maps and near-real-time alerts, informing mitigation and emergency response.
InSAR/IoT movement detection and trend analysis.
Vegetation and landcover change detection as precursors.
Road/rail closure decision support and detours.
Historical landslide inventory for labels.
EO/DEM tiles; geologic/soil layers; rainfall feeds.
InSAR/IoT movement sensors; landcover updates.
Frequently asked questions
What is alerting with lead times and confidence metrics?
Alerting with lead times and confidence; dashboards.
How can I generate reports for regulators or insurers that include evidence?
You can create detailed reports tailored to regulatory or insurance requirements, incorporating verifiable data and supporting documentation to demonstrate compliance.
What steps are involved in assembling DEM, soil, geology, rainfall, and other relevant data?
The process involves integrating various datasets – including Digital Elevation Models (DEMs), soil composition information, geological surveys, and rainfall records – ensuring accurate representation of the area’s characteristics.
How do I train a susceptibility model and validate its performance against real-world events?
You first train the model using available data to predict vulnerability, then rigorously test its accuracy by comparing its predictions with actual observed events to ensure reliable results.
▶ Try it live
Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.