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KMFleischer / PyEarthScience

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The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

visualization python analysis xarray matplotlib spatial-data notebooks ncl cartopy cdo georeferenced-data pyngl pynio python-cdo
  • Updated Jul 28, 2022
  • Jupyter Notebook

Philliec459 / STS-Software-to-Download-and-Process-NASA-PACE-Ocean-Ecosystem-hyperspectral-data

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We have created a Jupyter Notebook to use with NASA PACE data employing HyperCoast to download the data and then view and process these hyperspectral data using traditional python code. We have also attempted to calculate chlorophyll a too in this notebook that is CoLab ready.

geospatial landsat xarray pace netcdf4 hyperspectral brevis chlorophyll-a nasa-pace hypercoast red-tide karenia
  • Updated Jul 15, 2024
  • Jupyter Notebook

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