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ETCI-2021-Flood-Detection
Hugging Face dataset blanchon/ETCI-2021-Flood-Detection
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What's in it
- Data offered docs-verified
- Sentinel-1 SAR VV polarization image tiles · Sentinel-1 SAR VH polarization image tiles · binary flood masks · binary water body masks
- Coverage llm-inferred
- Global
- Resolution docs-verified
- 256x256 pixel tiles (ground sampling distance not stated)
- Formats docs-verified
- PNG
- Access docs-verified
- Public Hugging Face dataset; no auth listed in ENTRY (auth: null); licence unknown
Useful for
- Use cases llm-inferred
- Training or benchmarking SAR-based flood segmentation models for flood-extent mapping · Testing automated Sentinel-1 flood and water-body detection before applying it to FRA or drainage evidence · Water body mask training data for wetland or habitat baseline studies
- Audience llm-inferred
- GIS analysts · remote sensing specialists · hydrologists · flood risk modellers
Limitations
- Constraints llm-inferred
- Dataset viewer unavailable for this subset · Licence unknown; confirm before client-deliverable or commercial use · Sentinel-1 C-band SAR only; no optical or multi-sensor data · Distributed as 256x256 PNG tiles without georeferencing; source GeoTIFFs are not listed · Stated size is inconsistent (5.6GB in Statistics vs 5.3 GB total file size) · No time span or geographic coverage detail in DOCS beyond example region and event names
- Licence
- unknown
- Authentication
- Unknown — review source docs
- GitHub stars
- Unknown
- Last commit
- Unknown
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Verified 2026-10-15 via HF API: exists; 2414 downloads/30d, 13 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)