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granite-geospatial-land-surface-temperature

Hugging Face model ibm-granite/granite-geospatial-land-surface-temperature (image-feature-extraction)

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What's in it

Data offered docs-verified: land surface temperature (LST) prediction from satellite imagery and climate statistics · LST at 30m spatial resolution · LST at hourly temporal frequency · temporal gap filling (Tweening)
Coverage docs-verified: 28 global cities from varying hydroclimatic zones (city names not listed in docs) · 2013-2023
Resolution docs-verified: 30 m spatial; hourly temporal
Formats docs-verified: PyTorch Lightning checkpoint (LST_model.ckpt) · YAML configuration (config.yaml)
Access docs-verified: Free open-source download from Hugging Face; licence apache-2.0; no API key indicated in ENTRY metadata; run via TerraTorch

Useful for

Use cases llm-inferred: Urban heat island exposure mapping at 30m for climate adaptation or planning reports · Hourly LST gap-filling for environmental monitoring time series where satellite passes are missing · Heat stress screening inputs for urban masterplan or development assessments
Audience llm-inferred: GIS analysts · remote sensing specialists · environmental consultants · urban planners · climate adaptation specialists

Limitations

Constraints llm-inferred: Trained on 28 cities; not shown to generalise to UK cities or UK climate without validation · Requires 224 x 224 stacked HLS and ERA5 input patches and TerraTorch tooling · Not deployed by any Hugging Face Inference Provider · IBM provides no maintenance commitment for the code, so there is maintenance risk

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; 325 downloads/30d, 21 likes.

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

https://huggingface.co/ibm-granite/granite-geospatial-land-surface-temperature