The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

Global warming is here. As anticipated for more than 50 years now, the temperature and levels of atmospheric CO2 have increased. Modelling forest fires and forecasting fire behaviour is a complex ...

The new wildfire modeling capabilities incorporate detailed urban fuel types, dynamic building loss factors and high-resolution weather data.

California’s fires are getting bigger and harder to predict. The only way to tame them may be to remake the landscape itself. At the height of California’s worst wildfire season on record, Geoff ...

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 ...