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multi-temporal-crop-classification
Hugging Face dataset ibm-nasa-geospatial/multi-temporal-crop-classification
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What's in it
- Data offered docs-verified
- HLS S30 multi-temporal satellite imagery (6 spectral bands x 3 time steps, 18 bands per chip) · USDA CDL-derived crop and land-cover segmentation masks (13 classes)
- Coverage docs-verified
- Contiguous United States · 2022 (HLS S30 scenes queried March to September 2022)
- Resolution docs-verified
- 30 m spatial; 224 x 224 px chips
- Formats docs-verified
- GeoTIFF · TIFF · TGZ archive · CSV (train/validation split ID lists)
- Access docs-verified
- Free, open download. Licence CC-BY-4.0. Download as .tgz via Git LFS from the Hugging Face repository, or from Source Cooperative (AWS S3).
Useful for
- Use cases llm-inferred
- Training or benchmarking multi-temporal crop-type segmentation models on US imagery · Prototyping Prithvi-style foundation-model fine-tuning for land-cover classification · Reference dataset for testing HLS-based classification pipelines before applying them to UK data
- Audience llm-inferred
- remote sensing scientists · GIS analysts · machine learning engineers
Limitations
- Constraints llm-inferred
- Coverage is the Contiguous United States only; no UK coverage · Single year (2022) only · Labels are derived from USDA CDL, not field-verified ground truth · Chips containing clouds, cloud shadow or missing data were discarded, leaving 3,854 chips · Large download (about 11.8 GB) that requires Git LFS
- 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; 906 downloads/30d, 29 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)