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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
Mar 13, 2024 - Jupyter Notebook
Repository of the GEONETCast-Americas Training for the Eastern Caribbean States - May 2023
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Updated
May 11, 2023 - Jupyter Notebook
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