Quantum-Assisted Multisensor Fusion for Wildfire Fuel Typing & Hazard in New Brunswick

This project will build two practical wildfire tools for New Brunswick: a province-wide 10-metre map of “fuel types” (what can burn and how) and a near-real-time hazard map that shows where fire risk is rising during the season. We will combine free satellite images (Sentinel-1 radar and Sentinel-2 optical), tree-height information from space (LiDAR/GEDI), local terrain, and weather, and we will use small pieces of quantum-assisted computing to tune the models faster and keep the risk scores stable when conditions change. The maps will help fire managers, municipalities, utilities, forestry, insurers, and communities plan prevention, patrols, and response with more confidence. The University of New Brunswick will gain a working, shareable mapping pipeline and hands-on training for students in Earth observation, AI, and quantum methods; Rajiv Gandhi Institute of Petroleum Technology (India) will gain access to Canadian workflows, joint supervision and publications, and new skills that can be applied to other environmental risks, strengthening a long-term research partnership for both institutions.

Faculty Supervisor:

Rakesh Mishra

Student:

Partner:

Rajiv Gandhi Institute of Petroleum Technology

Discipline:

Computer science

Sector:

Education

University:

University of New Brunswick

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.