Prithvi-EO-2.0-600M-TL
IBM / NASA / Jülich Supercomputing Centre
Building crop or land use maps from satellite pictures usually means starting from scratch. This is a pretrained set of model weights for satellite imagery over time, plus code to fine tune it and run it.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Models & fine-tunes
AREA OF WORK
Geospatial imagery & remote sensing
ACCESS
Free · Open source
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Build a crop map from satellite pictures
- Map land use without starting from scratch
- Fine tune a satellite imagery model
- Track land change over time from imagery
- Pretrained weights for satellite imagery work
- Classify fields from satellite images
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Geospatial imagery & remote sensing
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Model download / weights · Code repository
DEPLOYMENT
You run it yourself
LANGUAGES
Not stated by provider
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed August 2026
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