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TerraMind-1.0-large

Hugging Face model ibm-esa-geospatial/TerraMind-1.0-large

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What's in it

Data offered docs-verified
patch embeddings from raw Sentinel-2 L2A, Sentinel-2 L1C, Sentinel-1 GRD, Sentinel-1 RTC, DEM and RGB inputs · any-to-any generation of output modalities (e.g. S1GRD, LULC) · land-use land-cover (LULC) as an intermediate modality in Thinking-in-Modalities (TiM) mode
Formats llm-inferred
PyTorch (via TerraTorch) · Hugging Face weights
Access docs-verified
Free, open-weight model under Apache-2.0 licence; weights are downloaded automatically from Hugging Face

Useful for

Use cases llm-inferred
Land-use/land-cover baseline mapping from Sentinel-2 and Sentinel-1 imagery for site or catchment assessments · Water body mapping from satellite imagery as input to flood or hydrological baselines · Vegetation assessment from multispectral imagery to support BNG habitat baseline work · Fine-tuning a pretrained EO backbone with TerraTorch for site-specific classification or segmentation
Audience llm-inferred
GIS analysts · ecologists · hydrologists · remote sensing and EO specialists

Limitations

Constraints docs-verified
Not deployed by any Inference Provider, so hosted inference is not available · Any-to-any generations are 'mental images', not reconstructions, and should not be treated as measured data · Documented usage is through TerraTorch and PyTorch Lightning; no standalone API is documented · Benchmark results are reported on PANGAEA; no UK-specific validation is stated in the docs
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; 4168 downloads/30d, 18 likes.

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