AI model accurately predicts the spread of wildfires in real time

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

Technosylva Introduces First-of-Its-Kind Urban Conflagration Modeling for the Built Environment

Significant enhancements deliver critical fire intelligence in the wildland-urban interface, helping utilities and emergency agencies protect lives and infrastructure LA JOLLA, Calif., April 22, 2026 ...
The Conversation

Predicting and planning for forest fires requires modelling of many complex, interrelated factors

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 ...