Bright key facts / Demonstrated
Adapting one Earth model to many maps
Prithvi-EO-2.0 is a geospatial foundation model that can be adapted to Earth-observation tasks such as flood mapping, crop classification, and land-use analysis.
- AI’s role
- The pretrained model converts multispectral satellite time series into representations that a smaller labeled dataset can adapt to a local mapping task.
- Documented result
- NASA and IBM publish model variants, code, examples, and task evaluations through the Prithvi repository and model cards.
- Important limitation
- The Prithvi-EO-2.0 repository code is MIT and the named 300M checkpoint is Apache-2.0, but those terms do not make every satellite input freely redistributable. Performance can shift by region, sensor, season, and local ground truth.