Domain-aware coreset construction lets tabular foundation models predict flood depths with 0.7% of per-watershed data at R²=0.663 (98.5% of full supervised), with cross-watershed transfer.
arXiv preprint arXiv:2512.17785
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AlphaEarth land-cover priors improve SAR flood segmentation IoU over SAR-only and DEM baselines across CNN and ViT backbones on held-out events like Hurricane Florence.
citing papers explorer
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Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models
Domain-aware coreset construction lets tabular foundation models predict flood depths with 0.7% of per-watershed data at R²=0.663 (98.5% of full supervised), with cross-watershed transfer.
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Beyond Backscatter: AlphaEarth Land-Cover Priors for Rapid SAR Flood Segmentation Across Foundation Backbones
AlphaEarth land-cover priors improve SAR flood segmentation IoU over SAR-only and DEM baselines across CNN and ViT backbones on held-out events like Hurricane Florence.