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  1. Kyushu-Land-Cover-2015-2019 Kyushu-Land-Cover-2015-2019 Public

    This project analyzed land cover change in the Kyushu region of Japan using classified raster data from the Copernicus Land Monitoring Service. Both QGIS and Python were used to process and visuali…

    Jupyter Notebook

  2. Madre-fire-burn-severity-2025 Madre-fire-burn-severity-2025 Public

    This project uses Sentinel-2 satellite imagery to map the areas in California affected by the Madre Fire (July 2025). The analysis calculates the Normalized Burn Ratio (NBR) for pre- and post-fire …

    JavaScript

  3. sentinel2-vs-embeddings-landcover-cambridgeshire sentinel2-vs-embeddings-landcover-cambridgeshire Public

    This project measured the accuracy and effort needed to perform supervised classification over the Cambridgeshire area using a traditional dataset (Sentinel-2) compared to AI satellite embedding (S…

    JavaScript