OlmoEarth v1.3: State-of-the-art embeddings for the whole planet

🤗 Models | 📄 Tech Report | 📊 Data | 💻 Code | 🌎 Embeddings Explorer | 🗺️ Interactive story

Today, we’re releasing OlmoEarth v1.3, a state-of-the-art satellite embedding model. Alongside OlmoEarth v1.3, we’re sharing precomputed, annual embeddings for the whole planet (10m, 64- and 128-dimensions), plus a new browser-based tool to explore and customize maps based on those embeddings — the OlmoEarth Embeddings Explorer. This means anyone can put OlmoEarth v1.3 to work right away, from tracking change over time to finding similar places—no sign-in, and no advanced technical knowledge required.

Until now, the primary way to use OlmoEarth was fine-tuning in OlmoEarth Studio: training a model for each task and running it over satellite imagery to make a map. That requires GPU access and the ability to download and store the imagery. Embedding models compress satellite data into ready-to-use features that can be reused cheaply for many tasks.

With OlmoEarth v1.3, we’re excited to give users more ways to explore and engage with planetary artifacts in whatever way suits them best.

Compute once, reuse everywhere

An embedding represents what the model learned from millions of images. OlmoEarth v1.3 reads a year of radar (Sentinel-1) and multispectral (Sentinel-2 and Landsat) satellite time series and produces one 128-dimensional vector for every 10-meter pixel on Earth; the first 64 dimensions also work on their own as a smaller embedding.

Foundation models and global embeddings are expensive to produce, and to make sure everyone is able to access the benefits, we’ve computed these embeddings for the entire planet and shared them with the community on Source Cooperative. From there, a crop map, a land-cover map, or a change analysis becomes a lightweight modeling problem: train a small classifier on top and run it locally.

State-of-the-art embeddings

Full results and methodology are in our technical report.