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!
The Embed2Scale contributions accepted at EGU 2025
We are pleased to announce that four contributions from the Embed2Scale consortium have been accepted for presentation at the EGU General Assembly 2025, one of the leading geoscience conferences in Europe, taking place in Vienna & online on 27 April – 2 May 2025. These contributions showcase cutting-edge advancements in AI-powered compression and embedding techniques…
Embed2Scale’s EGU 2025 Session Merges into a Broader Session on Foundation Models for Earth and Climate
The Embed2Scale-organized original session at EGU General Assembly 2025 has been merged with another session to form a broader discussion on Foundation Models in Earth Observation and Climate Science. The newly combined session, titled “Advancing Foundation Models for Earth and Climate: Benchmarking, Best Practices and AI-Enabled Scientific Understanding” will take place on Monday 28 April…