software · Global

granite-geospatial-ocean

Hugging Face model ibm-granite/granite-geospatial-ocean

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What's in it

Data offered docs-verified: Pre-trained transformer encoder (ViT, MAE) for Sentinel-3 OLCI ocean colour imagery · Sentinel-3 SLSTR sea surface temperature band (used in pre-training) · Fine-tuning example for phytoplankton primary production quantification
Coverage llm-inferred: Global (ENTRY regions metadata; training geography not stated in docs)
Formats docs-verified: PyTorch model weights (Hugging Face) · TerraTorch
Access docs-verified: Open download under Apache-2.0 licence

Useful for

Use cases llm-inferred: Fine-tune for phytoplankton primary production estimates from Sentinel-3 OLCI for marine baseline or carbon-related reporting · Ocean colour screening for coastal pollution or water-quality change near outfalls and marine works · Ocean ecosystem health indicators to support marine consent or fisheries-related assessments
Audience llm-inferred: marine ecologists · coastal and marine environmental consultants · remote sensing / GIS analysts · ML and geospatial engineers

Limitations

Constraints docs-verified: IBM will not maintain this code going forward and makes no assertions about quality or security · Not deployed by any Inference Provider; requires TerraTorch/PyTorch setup and fine-tuning for specific outputs · Input chips are 42x42 pixels, and pre-training used 512,000 images

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; 82 downloads/30d, 12 likes.

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

https://huggingface.co/ibm-granite/granite-geospatial-ocean