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| title: README | |
| emoji: 🌖 | |
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| license: apache-2.0 | |
| NASA and IBM have teamed up to create an AI Foundation Model for Earth | |
| Observations, using large-scale satellite and remote sensing data, including | |
| the Harmonized Landsat and Sentinel-2 ([HLS](https://hls.gsfc.nasa.gov/)) data. By embracing the principles of | |
| open AI and open science, both organizations are actively contributing to the | |
| global mission of promoting knowledge sharing and accelerating innovations in | |
| addressing critical environmental challenges. With Hugging Face's platform, | |
| they simplify geospatial model training and deployment, making it accessible | |
| for open science users, startups, and enterprises on multi-cloud AI platforms | |
| like [watsonx](https://www.ibm.com/watsonx). Additionally, Hugging Face enables | |
| easy sharing of [Prithvi](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M) pipelines | |
| within the community, fostering global collaboration and engagement. | |
| <a rel="noopener nofollow" class="block overflow-hidden" href="https://youtu.be/9bU9eJxFwWc"> | |
| <img class="w-full h-48 object-cover mb-2 bg-gray-300 rounded-md" src="https://img.youtube.com/vi/9bU9eJxFwWc/maxresdefault.jpg" alt="Watch Prithvi end to end demo" width="240" height="180" border="10" /> | |
| <div class="underline">Watch Prithvi end to end demo</div> | |
| </a> | |
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| [](https://youtu.be/9bU9eJxFwWc) | |
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| More information: [NASA Blog post](), [NASA Veda system](https://www.earthdata.nasa.gov/esds/veda), [IBM Blog post](https://research.ibm.com/blog/geospatial-models-nasa-ai), [EIS](https://www.ibm.com/products/environmental-intelligence-suite) | |