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Ali Shibli

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#machine learning Preprint Oct 2026

Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment

Geospatial foundation models can support disaster damage assessment, but high accuracy on familiar disasters may hide shortcut learning: prediction from event or scene characteristics rather than evidence that transfers to a new disaster. We study embeddings from TerraMind, Prithvi-EO-2.0, DOFA, and DINOv3 on the multi...

Ali Shibli, A. Nascetti, Yi-Fang Ban · 0 citations

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