COLLECTION

Open-source models for satellite imagery and geodata

Geospatial models analyze satellite and aerial imagery: they map fields and buildings, track land changes and monitor assets. They are used in agriculture, real estate, construction and territory monitoring. Check which imagery and resolution the model supports, whether it can be fine-tuned and what the license allows.

5 open model families in this collection.Updated 22 Sep 2026Open the full catalog with filters
Satellite and geo2025–2026

Ai2 OlmoEarth

Allen Institute for AI (Ai2) · USA

Ai2's family of models for Sentinel-1, Sentinel-2 and Landsat imagery, with ready-made fine-tunes for mangroves, deforestation and ecosystem types. The license excludes the extractive industries.

  • Monitoring deforestation and forest condition across the supply chain
  • Classifying land and crops from image series
  • Image embeddings for finding similar plots
Sizes
Nano – Large (Base about 114M)
Hardware
from: Laptop
Commercial use with conditionsDetails
Satellite and geo2025

IBM–ESA TerraMind

IBM and the European Space Agency (ESA) · USA / Europe

A multimodal Earth model: understands optical and radar imagery, terrain, vegetation index and land use maps, and can generate a missing data type (for example, a "see-through-clouds" image from radar).

  • Analyzing fields and forests even in cloudy weather using radar imagery
  • Land use maps for assessing plots
  • Flood and wildfire assessment (ready-made fine-tunes available)
Sizes
tiny – large (checkpoints from ~200 MB to ~3.8 GB)
Hardware
from: Laptop
Commercial use allowedDetails
Satellite and geo2023–2025

IBM–NASA Prithvi

IBM and NASA · USA

Foundation models for Landsat and Sentinel-2 satellite imagery that account for image time series. Ready-made fine-tunes for floods, burn scars and crop types, plus a separate weather model, WxC.

  • Mapping crops and field condition over the season
  • Assessing flood zones and burn scars after natural disasters
  • Monitoring changes in buildings and land use
Sizes
tiny – 600M (imagery), 2.3B (Prithvi WxC weather)
Hardware
from: Laptop
Commercial use allowedDetails
Satellite and geo2025

MBZUAI TerraFM

MBZUAI · UAE

A compact research model for satellite imagery, trained on both optical (Sentinel-2) and radar (Sentinel-1) data. Narrower in scope and community than Prithvi and TerraMind.

  • Classification and segmentation of satellite imagery after fine-tuning
  • A base for a land monitoring prototype
Sizes
TerraFM-B (ViT-Base)
Hardware
from: Laptop
Commercial use allowedDetails
Satellite and geoNot maintained2023–2024

Ai2 SatlasPretrain

Allen Institute for AI (Ai2) · USA

Pretrained models from the Satlas project for Sentinel-2, Landsat and high-resolution aerial imagery. The predecessor of OlmoEarth, still used in TorchGeo.

  • Detecting objects in imagery: solar farms, wind turbines, ships
  • Mapping roads and buildings from aerial photos
  • A starting point for fine-tuning your own geo model
Sizes
Swin-v2 and ResNet backbones (Base)
Hardware
from: Laptop
Commercial use allowedDetails

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