Continental-scale animation notebook

[cbur24]

Proposed changes

As part of my ongoing re-familiarisation with DEA, I've ported over the DE Africa notebook that shows how to export a continental-scale animation. The current example uses a time series of Landsat 8-9 geomedians. Probably too slow for merging in its current configuration but its a place to start the conversation.

Closes issues (optional)

• Closes Issue Add continental animation notebook from DE Africa 🎥 #1093

Checklist

If this is a notebook, then have you:

• Checked the structure of the notebook follows our DEA-notebooks template
• Removed any unused Python packages from Load packages
• Removed any unused/empty code cells
• Removed any guidance cells (e.g. General advice)
• Ensured that all code cells follow the PEP8 standard for code. The jupyterlab_code_formatter tool can be used to format code cells to a consistent style: select each code cell, then click Edit and then one of the Apply X Formatter options (YAPF or Black are recommended).
• Included relevant tags in the final notebook cell (refer to the DEA Tags Index, and re-use tags if possible)
• Tested notebook on the DEA Sandbox
• Cleared all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated
• If applicable, update the Notebook currently compatible with line below the notebook title to reflect the environments the notebook is compatible with
• Check for any spelling mistakes using the DEA Sandbox's built-in spellchecker (double click on markdown cells then right-click on pink highlighted words). For example:

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[GL-S]

It looks good, and it runs on the smallest sandbox, so it's good to be approved I think

[GL-S]

sorry didn't mean to request review from everyone!

[robbibt]

Looks great! I made a few minor changes - mostly applying automated formatting via YAPF, and some small documentation and code updates. I changed dask chunks to an even 500 x 500 (Damien recently shared a bug that occurs when using non-square chunks), and used the built-in mask_invalid_data func to set nodata pixels to NaN.

Given the run time of the notebook, I've currrently excluded it from the main integration tests - we can easily restore it later.

[cbur24]

@robbibt @GL-S @jennaguffogg Thanks for the reviews everybody!