Cardille Computational Landscape Ecology Lab
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Rylan Boothman

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PhD Student, Natural Resource Sciences

Research Interests: machine learning, remote sensing, land use and land cover change, forest monitoring, TensorFlow, Google Earth Engine

Deforestation and forest degradation account for a large portion of annual global greenhouse gas emissions and are significant sources of biodiversity loss. Better analysis of the available satellite data archives could improve decision-makers' understanding and management of human impacts on forest changes. To this end, my research focuses on applying state-of-the-art machine learning techniques to extract more information than was previously possible from remotely sensed data. Before coming to McGill, I received a BSc in Computer Science from the University of Victoria.
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  • Home
  • Research
    • Bayesian Updating of Land Cover (BULC)
  • Team
    • Current lab members
    • Past lab members
    • Invitation To Students
    • Funding
  • Courses
  • Publications
  • Service
  • Contact