dataset · Global

flood-mapping

Hugging Face dataset rodekruis/flood-mapping

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Data offered llm-inferred: Sentinel-1 flood extent GeoJSON (ENSEMBLE_FLOOD, VV polarisation), per tile and acquisition · Sentinel-1 acquisition footprint GeoJSON, per tile and acquisition · AOI/tile index with acquisition datetime and product hash
Coverage docs-verified: Global per ENTRY regions; sample tiles use NA, EU, SA, AS and AF prefixes, with no UK tiles visible in the 50-row sample · 2025-03-27 to 2025-06-13 (date range of the 50-row sample)
Resolution llm-inferred: ~20 m (inferred from the NA020M and EU020M codes in filenames); temporal resolution not stated
Formats docs-verified: GeoJSON · Parquet
Access llm-inferred: Free and open under GPL-3.0 licence; no authentication indicated in metadata (auth: null)

Use cases llm-inferred: Event-based flood extent check for a site AOI using Sentinel-1 SAR flood GeoJSON as a screening layer · Overlaying flood extents and acquisition footprints on project boundaries for flood-risk screening in civils or drainage schemes · Building a historical flood-extent sample for GIS validation of other flood-mapping outputs
Audience llm-inferred: flood consultants · hydrologists · GIS analysts · civils engineers

Constraints llm-inferred: Sample is small: under 1K size and a 50-row train split, with acquisitions only from March to June 2025 · No UK tiles visible in the sample, so UK coverage is unverified · No update cadence or processing methodology or accuracy figures stated in the docs text · GPL-3.0 copyleft licence may constrain use in closed-source or commercial products · Dataset-only (files and viewer), not an API; no temporal or spatial coverage guarantees · Maintenance depends on the Netherlands Red Cross publisher; ongoing upkeep not evidenced in the docs

Verified 2026-10-15 via HF API: exists; 233 downloads/30d, 0 likes.

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)