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Research Summary
Developing empirical 3D estimates of forest fuel load and structure; testing their application for wildfire risk mapping based on fuel connectivity and burn probability. This research uses airborne LiDAR data acquired for the Okanagan Valley, which will be used to develop voxel-based 3D estimates of vertical and horizontal forest fuel structure.
Websites
Degrees
BSc (Honours) Environmental Sciences (ENVS), University of Guelph
Faculty Advisor/Supervisor
Mathieu Bourbonnais
Thesis Title
Developing 3D forest fuel estimates as inputs for wildfire risk and burn probability models