MBZUAI TerraFM
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.
- Developer
- MBZUAI, UAE
- First release
- Jun 2025
- Latest release
- Jun 2025
- Sizes
- TerraFM-B (ViT-Base)
- License
- Commercial use allowedApache 2.0
- Running
- On your own serverNeeds a GPU
- Industries
- Science and research, Manufacturing and logistics, Public sector
What it does
- Classification and segmentation of satellite imagery after fine-tuning
- A base for a land monitoring prototype
Where it is used
Hardware requirements
Versions
- TerraFM-B
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can MBZUAI TerraFM be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does MBZUAI TerraFM need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does MBZUAI TerraFM support Russian?
Language does not matter for this model: it does not work with text.
Where can I download MBZUAI TerraFM and what does it cost?
The MBZUAI TerraFM weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
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).
DetailsSatellite and geoIBM–NASA PrithviIBM and NASA · USACommercial use allowedFoundation 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.
DetailsSatellite and geoAi2 OlmoEarthAllen Institute for AI (Ai2) · USACommercial use with conditionsAi2'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.
DetailsSource: huggingface.co/api/models/MBZUAI/TerraFM. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


