SAM achieves ~58% accuracy delineating field boundaries from SkySat imagery without training, with gains from multi-date inputs and varied sizes, establishing proof-of-concept for data-scarce agriculture mapping.
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Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels
SAM achieves ~58% accuracy delineating field boundaries from SkySat imagery without training, with gains from multi-date inputs and varied sizes, establishing proof-of-concept for data-scarce agriculture mapping.