Poorly managed forests, longer and drier summer months due to climate change, and other factors are increasing wildfire size and frequency. The 2018 Camp Fire in California, for example, led to economic damages of $16.5 billion and killed 85 people, and resulted in what has been hailed as the first “climate bankruptcy”.
Wildfire risk assessments are expensive, discontinuous, and time-intensive tasks. Regional-scale studies are rare, and the results are not easily understood or put into practice.
Factors affecting wildfire activity need to be thoroughly understood so that risk can be accurately assessed and protection or mitigation measures put in place. For this reason, we created GAIA WILDFIRE, Minerva’s Natural Hazards AI application for wildfire risk management.
Simply put, GAIA WILDFIRE helps users identify all significant factors that affect wildfire activity, so they might be mitigated before a disaster happens. GAIA Natural Hazards AI is an AI-assisted application that reasons with complex geospatial datasets, enabling users to visualize susceptibility to wildfire over large areas. Our cognitive AI system mimics human-expert reasoning, and provides explainable assessments, making it easy for non-experts to understand the results.
Check out the recent presentation we prepared for the BC Wildfire Service to see how Minerva’s revolutionary AI-powered tools can help wildfire management teams predict and mitigate wildfires before they happen.