Transferability and operational reliability of a Prithvi crop classification foundation model under phenological and geographic shift across three continents
arXiv:2610.08810v1 Announce Type: new Abstract: Fine-tuned geospatial foundation models (GeoFMs) pretrained on large satellite archives have been shown to improve crop classification accuracy and geographic transferability. However, their operational performance beyond the training distribution rem…
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