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Prithvi-EO-1.0-100M

Hugging Face model ibm-nasa-geospatial/Prithvi-EO-1.0-100M

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What's in it

Data offered docs-verified
image reconstruction on HLS image time series · temporal ViT embeddings (masked autoencoder, 6-band reflectance input) · downstream segmentation/classification (burn scars, flood, land cover) via finetuning
Coverage docs-verified
Contiguous United States (pre-training data); coverage outside CONUS not stated
Resolution docs-verified
30 m (HLS V2 L30 product, pre-training data)
Formats docs-verified
GeoTIFF
Access docs-verified
Open model weights under Apache-2.0 licence, downloaded from Hugging Face; no hosted inference endpoint (not deployed by any Inference Provider)

Useful for

Use cases llm-inferred
Burn scar mapping from HLS time series for post-fire ecological or flood-risk assessment (requires finetuning) · Flood extent segmentation for FRA baseline mapping from satellite imagery (requires finetuning) · Land cover classification for BNG habitat baseline mapping (requires finetuning)
Audience llm-inferred
GIS analysts · remote sensing specialists · hydrologists · ecologists · ML engineers

Limitations

Constraints llm-inferred
Pre-trained only on contiguous US HLS data; transfer to other regions is not documented · Inputs must be six HLS bands in reflectance units, in chronological order · Downstream tasks such as flood mapping require finetuning · No hosted inference provider; self-hosting and a Python/PyTorch environment required · 30 m spatial resolution limits fine-scale detail · ENTRY auth note is auto-extracted and upstream requirements are unverified
Licence
apache-2.0
Authentication
No API key required (repository README, auto-extracted; check upstream requirements)
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; 2047 downloads/30d, 289 likes.

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