geotessera

...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.

I would try https://github.com/ucam-eo/tessera-interactive-map , this is relatively easy to get started with and has a nice interface for labeling. https://github.com/ucam-eo/geotessera has an image showing our embedding coverage at the moment. Blue areas we have complete coverage for 2024, green areas we cover 2017-2024. We're slowly trying to populate everything 2017-2024 but the constraint is GPU and storage at the moment - each year takes ~20k GPU/200k CPU hours and requires storing and serving 200 terabytes of data. The world is big! If there is an area you would like prioritised, there's an issue template on the geotessera github repo which we can use to move regions around in the processing queue.

Hyperspectral data is really neat though it's worth pointing out that TESSERA is only trained on multispectral (optical + SAR) data. You are very right on the temporal aspect though, that's what makes the representation so powerful. Crops grow and change colour or scatter patterns in distinct ways. It's worth pointing out the model and training code is under an Apache2 license and the global embeddings are under a CC-BY-A. We have a python library that makes working with them pretty easy: https://github.com/ucam-eo/geotessera

Yes it's very good fun just exploring the embeddings! It's all wrapped by the geotessera Python library, so with uv and gdal installed just try this for your favourite region to get a false-colour map of the 128-dimensional embeddings: # for cambridge # https://github.com/ucam-eo/geotessera/blob/main/example/CB.geojson curl -OL https://raw.githubusercontent.com/ucam-eo/geotessera/refs/heads/main/example/CB.ge… # download the embeddings as geotiffs uvx geotessera download --region-file CB.geojson -o cb2 # do a false colour PCA down to 3 dimensions from 128 uvx geotessera visualize cb2 cb2.tif # project onto webmercator and visualise using leafletjs over openstreetmap uvx geotessera webmap cb2.tif --output cb2-map --serve Because the embeddings are precomputed, the library just has to download the tiles from our serve