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.


Nathaniel Tougas, P. Eng.

“By using Minerva’s cognitive AI to identify relationships between various geomorphological parameters, we can essentially get an unbiased second opinion to augment our own geohazard assessment. The GAIA Landslide Map provides geological engineers with AI tools and insights that have never been available in our field, and this is truly exciting to me.”

Nathaniel Tougas
Nathaniel Tougas, P. Eng.

Lionel Jackson

“Minerva’s synergy of AI with the fruits of Earth science research is not limited to mineral exploration… its AI is powerfully applying geotechnical knowledge to natural hazards avoidance and risk management faster than is possible with humans alone. The results are transparent to stake-holders.”

Lionel Jackson
Lionel Jackson, P.Geo.
Adjunct Professor, Earth Sciences Department, Simon Fraser University

Massimiliano Alvioli

“Minerva Intelligence provides knowledge for engineering, services and applications based on advanced AI. Through a semantic approach, they explain complex physical models to scientists, practitioners and non-experts.”

Massimilano Alvioli
Massimilano Alvioli – Researcher, CNR-IRPI
Institute for Research in Hydro-Geological Hazards of the Italian National Research Council

Sarah Morgan

“The SLRD Emergency Program relies on quality hazard information to make informed decisions for public safety and Minerva Intelligence contributes to the field of innovative professionals.”

Sarah Morgan
Sarah Morgan, Emergency Program Manager
Squamish-Lillooet Regional District

Brent Ward, P. Geo.

“Minerva is bringing cutting-edge technology to natural hazard management.”

Brent Ward
Brent Ward, P.Geo.
Professor and Chair, Earth Sciences Department, Co-Director, Centre for Natural Hazards Research, Simon Fraser University

John J. Clague

“Minerva Intelligence is bringing the power of artificial intelligence to geology. Their AI approach can help bridge the gap between scientists and decision-makers in fostering disaster risk reduction and emergency management.”

John Clague
John J. Clague, PhD, FRSC, OC
Department of Earth Sciences - Simon Fraser University

Marco Giardino

”Minerva Intelligence leverages standards and interoperable data to foster disaster risk reduction… an absolute game-changer in emergency management!”

Marco Giardino
Marco Giardino, Associate Professor in Applied Geomorphology
University of Torino; Co-chair, Working Group on Landform Geodiversity; IAG - International Association of Geomorphologists Direction Committee; UNESCO Chair in Sustainable Development and Territory Management

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