Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray
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Updated
Sep 23, 2025 - Jupyter Notebook
Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
Lexcube: 3D Data Cube Visualization in Jupyter Notebooks
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.
Notebook examples using model data for the Open Government Data initiative
Interactive widgets for topographic data analysis and modelling in Jupyter notebooks
A collection of Python notebooks and applications related to Earth Observation (EO) sector.
Repo covering Jupyter Notebook resources for Unidata's 2023 triennial meeting held in Boulder, Colorado
Notebooks to learn fundamentals of xarray for geospatial data processing in Python
Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats
Collection of notebooks used to demonstrate some Pangeo tools on HPC
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.
Precipitation climatology anomalies of Tanzania, shedding light on drought in the East African country. A jupyter notebook tutorial for geospatial analysis of netcdf data, and precipitation time series.
Open Data Cube Software Project: https://datacube.remote-sensing.org/
Jupyter notebooks related to NITheCS micro school series.
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