L2M – TerraFire Intelligence Platform: An Integrated Solution for Predictive Wildfire Intelligence

Wildfires create serious threats to communities, infrastructure, and natural environments across Canada. Many regions face fires that grow faster and burn hotter due to climate change, dry conditions, and limited access to real-time information. Current tools often fail to provide timely or accurate understandings, especially in remote or northern areas where ground reports arrive late and aerial surveys are too costly. As a result, emergency teams and infrastructure operators face significant challenges in detecting fire activity early, predicting danger zones, and protecting people and assets.
This project advances TerraXAI Wildfire Intelligence, a Canadian platform that integrates satellite data, artificial intelligence, and ground-based sensor measurements into a unified system. TerraXAI provides real-time understanding of ignition risk, fire spread, and exposure to critical infrastructure. The platform draws from multi-source satellite images, weather data, and readings from sensors that monitor greenhouse gases, temperature, humidity, and smoke. It then produces clear maps and alerts that help decision-makers understand fire conditions with far greater accuracy.
The project’s goal is to create the technical components needed for an operational version of TerraXAI. This includes a unified data pipeline, refined AI models, and a WebGIS interface that presents intuitive, easy-to-use visuals. The system aims to support wildfire teams, utility operators, insurers, and local governments as they plan responses, reduce losses, and strengthen community safety.
This work clearly offers a public benefit. A reliable early-warning and prediction tool reduces emergency costs, limits damage to forests and infrastructure, and supports climate-resilience planning. TerraXAI also supports Indigenous and rural communities that face high wildfire exposure but often lack fast access to fire intelligence. By developing this platform in Canada, the project enhances national capacity in environmental monitoring, advanced analytics, and climate adaptation technology.

Faculty Supervisor:

Masoud Mahdianpari

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program: