EASI Notebooks

Jupyter notebooks for learning and advancing your use of EASI, https://research.csiro.au/easi.

• Use the examples in these notebooks to build your own data analysis and applications.
• These notebooks have been adapted and written for CSIRO's EASI deployments.

These notebooks build on and contribute to the Open Data Cube, CEOS and cloud-based EO analytics communities (Acknowledgment and Credit).

Lake Tempe, Indonesia. Landsat-8 (2020-03-13) RGB

Overview

notebooks/

• Notebooks that introduce aspects of EASI, Dask and the Open Data Cube libraries.
• Work through these as a Training exercise, and refer back to them for examples.

notebooks/data_products/

• Examples for accessing and using EASI data products.
• Adapt or copy from these for your own work.

html/

• HTML version of each notebook for easy web browsing.

easi_tools/

• Helper scripts used in the these notebooks.

resources/

• Supplementary files and images used in the EASI notebooks.

bin/

• Scripts for managing and contributing to the repository.

Contributing

Contributions are welcome.

A pre-commit hook is provided in /bin. For each notebook committed this will:

1. Create an HTML copy of the notebook into html/.
2. Strip outputs from the notebook to reduce the size of the repository.

The apply_hooks.sh script creates a symlink to bin/pre-commit.

# Run this in your local repository
sh bin/apply_hooks.sh

For contributors:

1. Apply the pre-commit hook.
2. Run each notebook (that has been updated) to populate the figures, tables and other outputs as you want them.
3. Add a link into html/readme.md for each new notebook.
4. Add an item to whats_new.md.
5. git add and git commit.
6. If everything looks ok, git push to your branch/fork of this repository and create a pull request.

Acknowledgment and Credit

Many of the notebooks and code have been built on top of and with a range of community contributions, learnings and experience. Most notebooks will provide acknowledgments or references where appropriate. Please add an issue or PR if you identify a contribution that you would like to see acknowledged appropriately. We acknowledge broad based contributions from the community:

• Digital Earth Australia, https://github.com/GeoscienceAustralia/dea-notebooks
  • ANU-DEA Introduction course (via Digital Earth Australia), https://github.com/ANU-WALD/dea_course/tree/master/dea_materials
• Digital Earth Africa, https://github.com/digitalearthafrica/deafrica-sandbox-notebooks
• Open Data Cube and STAC tools, https://github.com/opendatacube/odc-stac/tree/develop/notebooks
  • https://github.com/Element84/geo-notebooks
• EOCSI Hackathon 2022, https://github.com/csiro-easi/eocsi-hackathon-2022
• Open Earth Alliance, https://github.com/ceos-seo/odc-colab
• CEOS Systems Engineering Office, https://github.com/ceos-seo/data_cube_notebooks
• UK Catapult and Commonsensing, https://github.com/SatelliteApplicationsCatapult/odc-hub
• Swiss Data Cube, https://github.com/GRIDgva/SwissDataCube
• CEOS Jupyter notebooks seminar series, https://ceos.org/meetings/jupyter-notebooks-for-capacity-development-webinar

License

Apache License 2.0, https://www.apache.org/licenses/LICENSE-2.0.