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!
-
How Embeddings Are Changing Earth Observation Workflows
In late May, members of the Embed2Scale consortium from IBM Research and UZH attended the ESA–NASA Workshop on Foundation Models for Earth Observation. While foundation models were naturally central to the agenda, one theme surfaced repeatedly across talks, discussions, and hallway conversations: geospatial embeddings have become a major topic in the EO community. What stood…
-
FZJ‑Led Workshop Day at the HDCRS Summer School 2026
The High‑Performance and Disruptive Computing in Remote Sensing (HDCRS) Summer School 2026 will feature a full workshop day led by Forschungszentrum Jülich (FZJ) on 11 June 2026, focusing on Geospatial Foundation Models and hands‑on experimentation with TerraMind for downstream Earth observation tasks. The summer school is organised by the High‑Performance and Disruptive Computing in Remote…
