Embed2Scale Introduces New TerraTorch Extension for EO Embedding Workflows

The Embed2Scale project has launched a TerraTorch extension designed to enable Earth Observation (EO) embedding workflows. The extension adds low‑code and no‑code tools  to generate, analyse, and reuse EO embeddings across a wide range of downstream tasks. 

What the extension enables  

In typical TerraTorch workflows, models are trained end‑to‑end on raw imagery. The new embedding workflows separate feature extraction from downstream training, making experimentation more flexible. They allow users to:

  • Use any supported dataset and backbone for embedding generation
  • Choose extraction layers and optional aggregation (Mean, Max, CLS)
  • Use embeddings in all existing TerraTorch downstream workflows
  • Test different decoder architectures
  • Compare different EO embeddings on the same task

Explore the demo notebooks

The extension is available through the open‑source TerraTorch library, with example notebooks demonstrating end‑to‑end workflows now published on GitHub: https://github.com/terrastackai/terratorch/tree/main/examples/embeddings 

The notebooks provide practical examples, from generating embeddings to evaluating them on downstream tasks, and show how to adapt the workflow to new datasets.

  • Practical example - Embedding generation
  • Practical example - Embedding Downstream