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GeoAI Tutorial 21: Training a Segmentation Model for Water Detection from Satellite Imagery
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GeoAI Tutorials - GeoAI Tutorial 21: Training a Segmentation Model for Water Detection from Satellite Imagery

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  • 20 hours of video
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🚀 GeoAI Tutorial 21: Training a Segmentation Model for Water Detection from Satellite Imagery — with Just One Line of Code 🛰️ In this tutorial, I demonstrate how to train a deep learning segmentation model to detect water bodies using satellite imagery. While previous tutorials focused on geospatial raster formats like GeoTIFF, this one adds support for non-georeferenced images such as JPG and PNG — making it even easier to apply to your own datasets! 🔗 Tutorial video: https://youtu.be/mHLlH1K5iFk 📓 Interactive notebook: https://opengeoai.org/examples/water_detection 💻 GitHub repo: https://github.com/opengeos/geoai 📚 Documentation: https://opengeoai.org 🎥 Full playlist: https://tinyurl.com/GeoAI-Tutorials --------------------------------------------------------------------------- GitHub: https://github.com/opengeos leafmap homepage: https://leafmap.org geemap homepage: https://geemap.org samgeo homepage: https://samgeo.gishub.org Twitter: https://twitter.com/giswqs YouTube channel: https://youtube.com/@giswqs

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