weiji14/foss4g2023oceania
The ecosystem of geospatial machine learning tools in the Pangeo world.
This project provides an overview and practical examples of tools for performing machine learning on large geospatial datasets efficiently. It describes how to input raw satellite imagery or climate model outputs, process them into training data 'chips' on the fly, and then feed them into machine learning models. Earth scientists, climate researchers, and remote sensing analysts who work with big data would find this useful.
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Use this if you need to perform machine learning on massive geospatial datasets and want to leverage cloud-native tools and GPU acceleration to speed up your workflows.
Not ideal if your datasets are small, or if you are not working with geospatial data and don't require GPU-accelerated processing.
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12
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Jupyter Notebook
License
LGPL-3.0
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Last pushed
Mar 17, 2025
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