{"slug": "ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for", "title": "Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embeddings for the whole planet", "summary": "Ai2 (the Allen Institute for Artificial Intelligence) released OlmoEarth v1.3, a satellite map embedding model, along with precomputed annual embeddings for the whole planet and a browser-based map-making tool called OlmoEarth Embeddings Explorer that requires no sign-in. The model compresses a year of Sentinel-1, Sentinel-2 and Landsat observations into a numerical fingerprint per 10-by-10-meter ground patch, with 64-square-meter and 128-meter resolutions also available, and Ai2 said v1.3 took 53% of the computing time of v1.2 and 18% of v1, with 50% and 22% of the carbon emissions. Ai2 said a first-pass analysis in the explorer takes seconds without a GPU, versus fine-tuning runs on the order of hours, and a pixel comparison of 2016 to 2020 data showed 34 square kilometers of significant change in Peru's southern mining belt, falling to 9 square kilometers from 2020 to 2024 after Operation Mercurio shut down most illegal gold mining around La Pampa.", "body_md": "### Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embeddings for the whole planet\n\nAi2, the [Allen Institute for Artificial Intelligence](https://allenai.org/), today released a satellite map embedding model called OlmoEarth v1.3 and precomputed annual embeddings for the whole planet at various resolutions with a browser-based map-making tool.\n\nThe model compresses a year of satellite observations into a numerical fingerprint for each 10-by-10-meter patch of ground at the smallest resolution, with 64-square-meter and 128-meter also available. That fingerprint captures patterns that other software can use to distinguish crops, forests, mines and other types of land cover.\n\nUntil now, the primary way to use OlmoEarth was to fine-tune in OlmoEarth Studio, train a model for each task and run it over satellite data to make a map. That requires access to vast graphics processing unit resources and the ability to download and store imagery.\n\nWith today’s launch, users can use OlmoEarth Embeddings Explorer, a browser-based map-making tool. That means anyone can turn OlmoEarth into real work, from tracking change over time to finding similar places – no sign-in required.\n\nAn embedding represents what a model learned from millions of satellite images. OlmoEarth reads a year of radar images from data, including Sentinel-1, Sentinel-2 and Landsat. Sentinel and Landsat are satellite missions that provide complementary views of Earth: Sentinel-1 measures radar reflections, while Sentinel-2 and Landsat capture light in visible and infrared wavelengths.\n\nThe company said that, compared with previous generations of the OlmoEarth model, 1.3 is its cheapest model to train. It took 53% of the computing time of the latest version (v1.2) and 18% of the first (v1), with 50% and 22% of the carbon emissions. It also remains a strong fine-tuning model, making v1.2’s performance valuable for research and partner labs.\n\n### Where these models fit into the real world\n\nThese satellite models help compress large swaths of data across time and space, which is useful for understanding how the Earth changes.\n\nIn Peru’s Madre de Dios region, illegal gold mining around La Pampa peaked in 2017 and 2018, clearing more than 1,200 hectares of forest in the buffer zone of the Tambopata National Reserve. The [Amazon Conservation Team’s MAAP monitoring program](https://www.maapprogram.org/lapampa_opermercury/) reports this activity. In February 2019, Peru’s Operation Mercurio shut most of it down. How do we know that happened?\n\nEmbeddings give this a clear answer. Comparing pixels within the data across years, no model training required, looking across 2016 to 2020 and there’s a clear eastward push within the southern mining belt: 34 square kilometers of significant change. The same comparison from 2020 to 2024 shows that area falls to 9 square kilometers. The shutdown is visible.\n\nEquivalently, an agricultural analyst could map where oil palm is being grown and identify areas for closer examination where plantation expansion may have replaced forest. These questions could determine where the environmental impact is affecting the world at large.\n\nAi2 said for many teams testing an idea against OlmoEarth has meant a fine-tuning run, which is an expensive, arduous venture on the order of hours. In the explorer, a first pass takes seconds.\n\nAnalysis of a region from a handful of labels requires no GPU. When a task calls for fine-tuning that experiment, the embeddings can help decide whether it deserves the compute time and where the model falls short.\n\n##### Image: [TheDigitalArtist/Pixabay](https://pixabay.com/photos/earth-internet-globalisation-2254769/)\n\n# A message from John Furrier, co-founder of SiliconANGLE:\n\nSupport our mission to keep content open and free by engaging with theCUBE community. **Join theCUBE’s Alumni Trust Network**, where technology leaders connect, share intelligence and create opportunities.\n\n- **15M+ viewers of theCUBE videos** , powering conversations across AI, cloud, cybersecurity and more\n- **11.4k+ theCUBE alumni** — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network\n\n### Are you an AWS customer?  Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: [https://siliconangle.com/aws-marketplace/](https://siliconangle.com/aws-marketplace/)\n\n##### **About SiliconANGLE Media**\n\n[SiliconANGLE](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fsiliconangle.com%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=SiliconANGLE&index=9&md5=646b1b564e2259100a2b8638aab0a552),\n\n[theCUBE Network](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.thecube.net%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=theCUBE+Network&index=10&md5=7de2a85f95ab4a4a495cede20b8cb1da),\n\n[theCUBE Research](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fthecuberesearch.com%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=theCUBE+Research&index=11&md5=7bb33676722925eb57d588ec343e4f6f),\n\n[CUBE365](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.cube365.net%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=CUBE365&index=12&md5=d310fb35919714e66ad8d42c9c0c1bc6),\n\n[theCUBE AI](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.thecubeai.com%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=theCUBE+AI&index=13&md5=b8b98472f8071b23ebb10ab9a8dd0683)and theCUBE SuperStudios — with flagship locations in Silicon Valley and the New York Stock Exchange — SiliconANGLE Media operates at the intersection of media, technology and AI.\n\nFounded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.", "url": "https://wpnews.pro/news/ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for", "canonical_source": "https://siliconangle.com/2026/10/22/ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for-the-whole-planet/", "published_at": "2026-10-22 13:00:30+00:00", "updated_at": "2026-10-22 13:11:20.273872+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "computer-vision", "ai-research", "ai-tools"], "entities": ["Ai2", "Allen Institute for Artificial Intelligence", "OlmoEarth v1.3", "OlmoEarth Embeddings Explorer", "OlmoEarth Studio", "Sentinel-1", "Sentinel-2", "Landsat"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for", "markdown": "https://wpnews.pro/news/ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for.md", "text": "https://wpnews.pro/news/ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for.txt", "jsonld": "https://wpnews.pro/news/ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for.jsonld"}}