Seeking additional support with scaling process before deadline 25 July

Alex has been helping me with advice and prep the last couple weeks and is now on leave and will be busy until around 20 August.

Because of this I am seeking any potential support from @sopac and or @jessjaco depending on who has capacity for the following tasks. I can try to work on them a bit but will need support in advice given I am not very familiar with the workflows for scaling including the prerequisites tat feed into any argo workflows.

Partially complete

1. Get a seagrass model, where you have a final result showing two layers, and you’re happy with the resuts in ~4-6 study sites: a. True/False/Nodata for seagrass presence, absence, nodata (1, 0, 255) UINT8 data type b. Percentage probability of seagrass, 0-100 with 255 as nodata, also UINT8 data type

I am working on this section but will need to next work on the following:

2. We need to build two functions, print_tasks.py and run_task.py, like this: https://github.com/digitalearthpacific/dep-sdb/tree/main/src
3. Need a Docker image, and a YAML workflow: a. Dockerfile: https://github.com/digitalearthpacific/dep-sdb/blob/main/Dockerfile b. YAML: https://github.com/digitalearthpacific/dep-flux/tree/main/workflows/staging/once
4. Need a STAC collection: github.com/digitalearthpacific/dep-stac/blob/main/dep_collections/
5. Need a Datacube product: https://github.com/digitalearthpacific/pacific-cube-in-a-box/tree/main/products
6. Need a Datacube config, like this: https://github.com/digitalearthpacific/pacific-cube-in-a-box/tree/main/ows/ows_config/mangroves

That’s possibly all of it… Step 1 is most important!

Most of this was documented by Jesse and me here: https://github.com/digitalearthpacific/internal-documentation/blob/main/products/publishing.md