A fire model that has been able to predict wildfire movement across vegetation and the built-environment, meaning downtown and residential areas, with close to 90% accuracy will be assessing the Aspen ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a wildfire's path, intensity, and growth rate. If you've ever been evacuated ...

The ability to predict wildfires - such as those that recently devastated Los Angeles and Canada - is advancing rapidly with the help of ML–driven high-quality data. A new paper, published today ...

When a major fire occurs, especially one with associated firefighter injuries or deaths, departments often produce after-action reports, conduct investigations and inspect equipment. All of these are ...

USC researchers have upgraded their AI-driven wildfire prediction model by integrating continuous GOES satellite observations with existing VIIRS data, improving accuracy in determining ignition times ...