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Proposed changes

Incorporate Landsat 9 observations in Wetlands Insight Tool output by adding the LS9 ARD product to ODC queries [ga_ls9c_ard_3] (https://explorer.dea.ga.gov.au/products/ga_ls9c_ard_3)

Before/after output samples

WIT interactive app test_without_ls9.csv
WIT interactive app test_with_ls9.csv
Hird Swamp_without_ls9.csv
Hird Swamp_with_ls9.csv

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:

sandbox_spellchecker

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@colourmeamused
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This is a bit of housekeeping to bring the WIT notebooks in sync with bulk runs with dea-conflux by including Landsat 9 observations, I have tagged @BexDunn @LaurenSchenk1 @margaretharrison as reviewers.

  • ToDo: I need to update both WIT Notebooks to the new template design.

I think it's the template we used in the stac Hackathon so it will look like this: https://github.com/GeoscienceAustralia/dea-notebooks/blob/develop_stac_am/DEA_products/DEA_Wetlands_Insight_Tool.ipynb

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6 participants