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cwywilson/README.md

👋 Hi, I’m Wilson (Wai-Yin) Cheung

Glaciologist | Polar Expedition Guide | PhD (2025) at Queen’s University, Canada
🌍 Investigating glacier mass balance & cryosphere change in the Canadian Arctic
🛰️ Leveraging fieldwork data, photogrammetry, remote sensing, & machine learning for snow/ice classification
📢 Advocate for polar science communication, youth mentorship, and education
❄️ Logged over 1,000 days in polar and alpine fieldwork: Arctic, Antarctic, Alps

🛠️ Tools & Languages

Python Google Earth Engine Colab Jupyter Git

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  1. KMeans-Derived-Pseudo-Labels-for-Machine-Learning-Classification KMeans-Derived-Pseudo-Labels-for-Machine-Learning-Classification Public

    Unsupervised-to-supervised snow and ice classification from Sentinel-2 for Arctic glacier monitoring

    Jupyter Notebook

  2. glims-submission-notebook glims-submission-notebook Public

    Jupyter notebook that converts glacier outlines & centre-lines into GLIMS-ready shapefiles.

    Jupyter Notebook

  3. Co-registration-with-reference-DEMs Co-registration-with-reference-DEMs Public

    Jupyter notebooks for co-registering historical and modern DEMs to assess glacier elevation change.

    Jupyter Notebook

  4. glacier-snow-cover-mapping-for-ANP-and-SNP glacier-snow-cover-mapping-for-ANP-and-SNP Public

    Forked from RaineyAbe/glacier-snow-cover-mapping

    Workflow and tools for detecting snow-covered area, accumulation area ratio, and seasonal snowlines on mountain glacier surfaces using Landsat 8/9, PlanetScope, and Sentinel-2 imagery.

    Jupyter Notebook