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If you're working on land cover classification or any geospatial deep learning task, generating image chips from large volumes of satellite imagery and labeled masks is a crucial step. In this tutorial, I demonstrate how to efficiently tile your own imagery and classification data—across multiple locations—with just one line of code using the GeoAI Python package. 🔗 Tutorial video: https://youtu.be/RTv-Fz3Y5OE 📓 Interactive notebook: https://opengeoai.org/examples/image_tiling 💻 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
