AI has shown promising applications in pre-, intra-, and post-wildfire events. Researchers have published over 300 scientific articles on the topic from 1996 to 2019, indicating growing interest and potential for AI in wildfire prevention and management.
AI in Wildfire Risk Management, Prevention, and Forecasting
AI can help in risk management by assessing factors such as vegetation type, weather conditions, and historical fire data to identify high-risk areas. In prevention, AI algorithms can be used to optimize prescribed burning and other mitigation strategies. AI-powered forecasting models can also predict fire behavior and spread, aiding in preparedness and resource allocation.
AI in Wildfire Detection and Rapid Response
For real-time wildfire detection, AI-enabled systems can analyze satellite imagery, drone footage, and sensor data to identify and localize fires quickly. This information can then be used to coordinate rapid response efforts, improving the efficiency of firefighting operations.
