Drones Offer an Unparalleled View of the Biggest Wildfire Risks Researchers at the British Columbia Institute of Technology and Northeastern University in Vancouver trained a computer vision algorithm on Spexi’s data to identify extreme fire risks from fuel loads hidden in vulnerable forests and near critical infrastructure, including utility right-of-ways, highways and railroads.