IBM ESA Geospatial

IBM and ESA 🌍 Advancing Geospatial AI with TerraMind & MS-CLIP

IBM and the European Space Agency (ESA) Φ-lab introduce TerraMind, the first multimodal, any-to-any generative foundation model for Earth Observation. TerraMind reaches new SOTA results on downstream tasks and introduces the "Thinking-in-Modalities" approach to handle missing modalities. The model was pre-trained in partnership with Jülich Supercomputing Centre (Forschungszentrum Jülich) and supported by the FAST-EO project.

🎉 TerraMind has been accepted at ICCV 2025

We’re honored to present our work at one of the most prestigious conferences in computer vision. Stay tuned for more details!

🎉 MS-CLIP has been accepted at ECML 2025

We’re honored to present our work at one of the most prestigious conferences on machine learning. Stay tuned for more details!

🎉 TerraMesh has been accepted at CVPR EarthVision 2025

We’re honored to present our work at one of the most well-known workshops for Earth observation. Stay tuned for more details!

🤝 Open Source

The FAST-EO partners and ESA Φ-lab are committed to Open Source, sharing knowledge, and driving innovation for the geospatial domain.

📚 Papers and Resources

Explore the technical paper detailing TerraMind's architecture and applications here. Details on MS-CLIP can be found here.

📊 Upcoming Models and Datasets

Stay tuned for our upcoming model and dataset releases like TerraMesh.

🚀 Challenge

Already working with TerraMind? Submit your use case to the TerraMind Blue-Sky Challenge, a bi-monthly award spotlighting the boldest, most imaginative ways using TerraMind.

Explore our models, datasets, and papers, and join our discussions to shape the future of geospatial AI!