4 papers
Now We Know? A Systematic Comparison of TerraMind and THOR
Frederick Schindlegger, Kenzo Bounegta, Eva Gmelich Meijling +5
Benchmarks for Geospatial Foundation Models (GFMs) increasingly rank models by aggregate score, but such rankings obscure why models differ: how much of the gap is architecture, ho…
EVE: A Domain-Specific LLM Framework for Earth Intelligence
Àlex R. Atrio, Antonio Lopez, Jino Rohit +6
We introduce Earth Virtual Expert (EVE), the first open-source, end-to-end initiative for developing and deploying domain-specialized LLMs for Earth Intelligence. At its core is EV…
THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications
Theodor Forgaard, Jarle H. Reksten, Anders U. Waldeland +4
Current Earth observation foundation models are architecturally rigid, struggle with heterogeneous sensors and are constrained to fixed patch sizes. This limits their deployment in…
Fast model inference and training on-board of Satellites
Vít Růžička, Gonzalo Mateo-García, Chris Bridges +4
Artificial intelligence onboard satellites has the potential to reduce data transmission requirements, enable real-time decision-making and collaboration within constellations. Thi…