Coreg

[arcisad]

Proposed changes

This is my first attempt to create a notebook here, so I imagine I will be needing a lot of help and feedback :)

This is a notebook for running co-registration tools on satellite scenes. This particular one, co-registers two Sentinel-2 scenes against a reference Landsat-8 one.

I used AROSICS, KARIOS and Co-register tools to carry out the process. The first two are publicly available packages and the third one is the one I developed.

Note: I have developed my own utility functions in DEA_tools/coreg.py file for the co-registration process as the initial plan was not to integrate with ODC libraries. I am sure a lot of similar and even better functions are already available in ODC libraries but the ones I created here are specifically tailored to the requirements of my co-registration process. I appreciate your feedback on these utilities, whether it is about the structure of the code or any better already available alternative. :)

Checklist

If this is a notebook, then have you:

• [ x] Checked the structure of the notebook follows our DEA-notebooks template
• [ x] Removed any unused Python packages from Load packages
• [x ] Removed any unused/empty code cells
• [x ] Removed any guidance cells (e.g. General advice)
• [x ] 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).
• [ x] Included relevant tags in the final notebook cell (refer to the DEA Tags Index, and re-use tags if possible)
• [ x] Tested notebook on the DEA Sandbox
• [ x] Cleared all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated
• [x ] If applicable, update the Notebook currently compatible with line below the notebook title to reflect the environments the notebook is compatible with
• [ x] 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:

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB