This study examines whether burned area from forest fires in Portugal can be predicted using satellite, weather, and time-series data. Results show human-caused fires dominate over natural ones, and predictive models achieved around 95% accuracy, demonstrating strong potential for improving resource allocation and fire management strategies.

This research shows that real fires move through buildings, creating uneven heating that can cause structural collapse. Using full-scale fire tests and simulations, it demonstrates that traditional static fire-resistance testing is inadequate. Designing buildings for traveling-fire scenarios is essential to prevent collapse and protect lives.