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
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PURL: pkg:github/sudarshan710/Geospatial-Data-Downscaling-with-U-Net-and-Local-Binary-Patterns
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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