Early warning

Forecasting wildfire smoke is hard. Yale Climate Connections reviews the best tools to help you predict when unhealthful levels of smoke are coming.

Artificial intelligence is helping identify and treat diseases faster with better results for humankind. Natural disasters like wildfires are next.

Scientists from Bar-Ilan University’s Department of Computer Science help crack the code behind lightning-induced wildfires—offering a powerful new weapon in the fight against climate change.

The first satellite of a groundbreaking constellation for early wildfire detection and mitigation has hit the skies. Here’s how the project came to be.

Integrating new technology with current AI systems could help detect wildfires, such as the devastating LA blazes, to enhance earlier warning strategies – experts believe.

This study presents an innovative approach to forecasting seasonal anomalies in burned areas (BA) by integrating process-based seasonal prediction and a random forest climate-fire model.

In a world where seconds matter, our current wildfire detection system is dangerously slow. Fires are often reported only after someone sees smoke, wasting precious hours before a response team arrives. AI is changing that equation.

Satellite, cameras, computer simulations, and artificial intelligence are helping fire crews respond to wildfires by pointing out where they will be most needed.