Thanks for your explanation. For my region, 2024 coverage is already available, which should be sufficient to get started. After looking into the library, I just want to make sure I understand the workflow correctly: I would use the Tessera interactive map to mark known locations of Giant Hogweed, label them, and export as GeoJSON; then train a k-NN model, make predictions, and finally export the results as a GeoJSON back to the map. Does that sound right?
So the interactive map should do this workflow for you. You place points and it will run the knn classifier over the landscape for you.
If you want to go further you can export the GeoJSON and then run it through any machine learning pipeline you like.
...and if you do build this @ensocode, feel free to open a PR to https://github.com/ucam-eo/geotessera and I'll incorporate it as an example in the repo.