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Research Summary
Research efforts are focused on using remote sensing, such as earth observation satellite data and LiDAR, with “random forest” machine learning techniques to map wetlands in the Okanagan. Decades-worth of earth observation satellite data are available allowing us to observe changes and patterns over time and identify priority areas for conservation and restoration.
Websites
Degrees
B.Sc. Hons. Wildlife Biology at the University of Guelph, ON
Faculty Advisor/Supervisor
Mathieu Bourbonnais
Thesis Title
Remote sensing techniques to classify and monitor wetlands in the Okanagan Valley using LiDAR and earth observation satellite data