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GEOID-Flood: A Large-Scale Multi-Modal Benchmark Dataset for Flood Segmentation

First seen · 8/3/2026, 04:00 AMLatest activity · 8/3/2026, 04:00 AM

GEOID-Flood is a large-scale benchmark built from Copernicus Emergency Management Service activations, covering 219 flood events across 65 countries over ten years and more than 14,000 tiles. Each sample includes co-registered pre- and post-event Sentinel-1 SAR data in GRD and RTC formats, pre-event Sentinel-2 composites, DEM, and manually validated labels distinguishing background, permanent water, and flooded water. Experiments compare foundation models with conventional encoders across single-image, multi-temporal, and multi-modal settings. The reported results show modest but consistent foundation-model gains, with optical-SAR fusion and finetuning performing best for transient flood mapping.

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  1. AggregatorHuggingFace Daily Papers8/3, 04:00 AMnot independentRepresentative
    GEOID-Flood: A Large-Scale Multi-Modal Benchmark Dataset for Flood Segmentation