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goes-r
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Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem
deep-learning satellite pytorch remote-sensing segmentation snow multispectral-images manet electrol2 modis-data geostationary goes-r
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Updated
Feb 1, 2025 - Jupyter Notebook
Repository of the GEONETCast-Americas Training for the Eastern Caribbean States - May 2023
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Updated
Jun 1, 2025 - Jupyter Notebook
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