AI for Environmental Disaster Prediction

Multi-hazard AI that anticipates floods, wildfires, storms, and landsl

AI-driven disaster prediction combines numerical weather models, remote sensing, IoT sensors, hydrologic data, and earth observation to forecast hazards earlier and with finer spatial detail.

Machine learning augments physics with pattern recognition, ensemble blending, and nowcasting, providing warnings that emergency managers can act on.

Continuous retraining, back-testing on historical events, uncertainty

Forecast riverine and flash floods with high-resolution hydrology and rainfall nowcasting.

Predict ignition risk and spread using fuels, weather, and satellite hotspots.

live demo · related simulation● LIVE

Automated QA on gauges and weather feeds; fallback to satellite when s

Clear uncertainty bands and probability thresholds for all alerts.

Versioned models with back-test results and changelogs.

Frequently asked questions

What is flash flood nowcasting?

Flash Flood Nowcasting

How did radar combined with deep learning provide a 90-minute lead time for urban drains?

Radar + deep learning provided 90-minute lead time for urban drains, reducing damages significantly.

What is wildfire spread forecast?

Wildfire Spread Forecast

How were daily spread scenarios used to guide air tanker deployment?

Daily spread scenarios guided air tanker and crew positioning, cutting containment time.

▶ 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.

▶ Open Hash Function Avalanche Visualizer simulation