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GitHub / sudarshan710 / Geospatial-Data-Downscaling-with-U-Net-and-Local-Binary-Patterns

Downscaling spatial resolution of geo-spatial data (TROPOMI SIF) using auxiliary data (MODIS) by application of Convolutional Neural Networks

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sudarshan710%2FGeospatial-Data-Downscaling-with-U-Net-and-Local-Binary-Patterns

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 8.09 MB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago

Topics: cnn, convolutional-neural-networks, data-analytics, data-science, downscaling, geospatial-processing, python, qgis

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