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remote-sensing-change-detection
Hugging Face dataset Mercyiris/remote-sensing-change-detection
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What's in it
- Data offered docs-verified
- Gaofen-2 pre-event optical images (TIF) · Gaofen-3 post-event SAR images (TIF) · Sentinel-2 unprocessed post-event optical images (TIF) · Sentinel-2 relatively radiometrically corrected post-event optical images (TIF) · Binary pixel-level change maps (PNG) · Change-map annotation files (JSON)
- Formats docs-verified
- TIF · PNG · JSON
- Access docs-verified
- Free and open under CC BY 4.0 (attribution required; free use, modification and distribution permitted).
Useful for
- Use cases llm-inferred
- Train and test deep-learning change detection models on paired pre- and post-event imagery · Research optical and SAR image fusion for change detection · Compare raw and radiometrically corrected Sentinel-2 inputs to assess preprocessing effects on change detection · Prototype urban building change monitoring from multi-sensor imagery
- Audience llm-inferred
- remote sensing researchers · GIS analysts · machine learning engineers
Limitations
- Constraints llm-inferred
- Only 24 image groups (120 rows), so small for production training · Not yet segmented to a fixed resolution; further resolution unification needed for most applications · Dataset viewer unavailable (TooBigContentError) · Possible overlap between groups; deduplicate by coordinates before splitting train and validation sets · File counts across A, B, C, D and E must match · Research-oriented; no stated geographic extent or time span, so UK coverage is unverified · Total size about 2.06 GB
- Licence
- cc-by-4.0
- 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; 221 downloads/30d, 3 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)