Earth Observation & Weather Data Federation with AI Embeddings
Embed2Scale wants to unlock the true potential of the Copernicus Programme, leveraging AI-based data compression to streamline the exchange of vast geospatial information. This initiative aims to pioneer compressed embeddings, enabling quicker access, decentralized applications and accelerated analytics across four different domains: maritime awareness, aboveground biomass estimation, climate and air pollution prediction, and crop stress & early yield detection.
Revolutionising Geospatial Data with AI Compression
In this introduction to Embed2Scale, our team shares the ambitious vision behind the project: transforming how Earth Observation (EO) data is accessed, processed and utilised. Leveraging AI-powered embeddings, Embed2Scale aims to solve the data gravity problem and democratise EO data, making it accessible for real-world applications like climate change monitoring, vegetation analysis and more. Learn how our innovative AI compressors reduce data size by up to 1000x, enabling faster, more efficient global assessments at scale. Hear from our expert partners on the groundbreaking potential of AI in environmental and satellite data analysis.
Check out latest updates!
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Embed2Scale brings neural compression, benchmarking and embeddings to IGARSS 2026 – all open-source
At IGARSS 2026, Embed2Scale (E2S) showcased how open datasets, neural compression, reproducible benchmarking and community collaboration can help turn Earth observation embeddings into practical, scalable tools. A full day focused on neural compression and representation learning On Aug 9, Conrad M. Albrecht (University of Oxford) orchestrated the full-day tutorial “A Hands-On Introduction to Benchmarking Neural…
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Embed2Scale supports the next Geo-Embeddings Sprint in Zürich
The Embed2Scale project is pleased to support the next Geo-Embeddings Sprint, taking place on 27–28 October 2026 in Zürich, Switzerland. Hosted by IBM and organised together with Cloud-Native Geospatial (CNG), Clark University, and Planet, the event will bring together leading researchers, foundation model developers, data providers, and Earth Observation (EO) practitioners to advance the future of geospatial AI. The second Geo-Embeddings Sprint builds…
