A computer model, dubbed WIFIRE, has been developed at UCSD to predict the growth of wildfires once they start. The model incorporates information feeds on current weather conditions along with data on topography and fuel types.
Business Wire: ALERTWildfire Partners With GeoLinks to Deploy Fire Detection and Prevention Systems Across California
The public-private partnership [ALERTWildfire-GeoLinks partnership] is actively deploying wildfire detection, prevention, and situational awareness systems across a coalition of utility and county assets to enable fire detection and predictive modeling.
The deadly blazes burning in California have put a spotlight on the crucial role of evacuation. In the moments after a wildfire begins, firefighters must predict where a fire will spread to save lives. Now, California firefighters are getting some help from a powerful new tool: supercomputers.
As wildfires threaten communities around the world, monitoring systems using Big Data are helping firefighters, government agencies and humanitarian organizations proactively take steps to save lives.
The 2017 wildfire season was the worst on record, and experts bracing for another tough year are looking at technology, analytics and other innovations to mitigate wildfire risk.
Project WIFIRE, run by UC San Diego, uses San Diego’s supercomputing center to collect data on what wildfires do, using ground telemetry, weather data and satellite data the system collects. The supercomputer produces predictive analytics about how newly started fires will spread, which can help with evacuation and firefighting.