AINeutralarXiv – CS AI · 18h ago6/10
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Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events
Researchers deployed the Prithvi-EO-2.0 geospatial foundation model across 19 diverse flood events globally to assess satellite-based flood detection reliability. The study found that detection accuracy varies significantly by land cover type and flood mechanism, with cropland showing the highest accuracy (IoU=52%) while tree cover and built-up areas achieved near-zero detection (IoU=4%), establishing critical operational boundaries for disaster response systems.