Issue 1

## Goals

* Help increase ease of access to various embeddings in cloud native formats

* Provide an example of what cloud native easily accessible, interoperable embeddings from Geospatial Foundation Models could look like by storing embeddings derived from 3 different models on Source Cooperative for 8 years (2017-2024) for all a sample geographic area (ie all of Kenya)

* Make it easier to use embeddings in downstream modeling classes

## Partner and Stakeholders

Taylor Geospatial Engine, Fields of the World, Open Source Developers: Issac Corley, Jeff Albrecht, Source Cooperative

## Team

Dev Seed Gaia + other labs contributors

## Milestones

Phase 1 November - December 2025

* Simple + scalable engineering AWS pipeline for S2 and S1 download needed for embedding generation

* simple + scalable engineering AWS pipeline for embeddings generations for models we want to run inference with

* Experiments to guide initial decisions around: zarr file chunking, projections

* Generate (when necessary) embeddings, store as Zarr - determine chunking scheme host on source cooperative

Phase 2 (Application Based) December/Jan 2025

* tools + examples to facilitate comparison for downstream use cases (ie field boundary delineation) with the embeddings that are stored on source cooperative

Future Work:
* Enable easier visualization + visual comparison of different model's embeddings

* Connect Embeddings to datasets/stac collections that they are derived from

* Going beyond country level scale - do our initial decisions hold out at areas larger than a country

## Project Organization

* slack channel tbd
* project board - coming soon 🚧

## Documents
https://github.com/developmentseed/labs/issues/458

cc @zacdezgeo