Embed2Scale to Present AI-Driven Earth Observation Research at ESA’s Living Planet Symposium 2025 

We’re proud to announce that the Embed2Scale project will be strongly represented at the upcoming ESA Living Planet Symposium 2025 (LPS25), the international event gathering the Earth Observation community to advance the transition from satellite-based observation to climate action and sustainable innovation. 

Dr. Conrad Albrecht from the German Aerospace Center (DLR) will present a series of contributions developed within the project’s research activities, focused on advancing AI-based data processing techniques for satellite imagery. 

June 25 

  • Spaceborne SAR Compression with AI for Data-Efficient Vessel Detection 

Session: D.02.05 – EO-based solutions to address civil security-related scenarios 

June 26 

  • Spectral Super-Resolution for Greenhouse Gas Detection 
  • Self-Supervised Learning for Multispectral and Hyperspectral Remote Sensing (Poster)
  • Towards Efficient Neural Compression for Earth Observation Data (Poster) 

Session: D.02.06 – Foundation Models for Earth Observation: Current solutions with less labelled data to improve environment monitoring and future perspectives to revolutionize geospatial data discovery and utilization 

June 27 

  • Self-Supervised Learning for Earth Observation (SSL4EO) Put to the Test – a perspective through the lens of two Horizon Europe projects 

Session: D.05.04 – Digital Copernicus – Shaping Europe’s Digital Future in the Age of AI, 08:30–10:00 am, Hall M1/M2
Theme: Copernicus Operations & Long-term 
Chair: Anna Burzykowska (European Space Agency) 
This high-level invited session explores how AI can revolutionise data processing and access in the Copernicus ecosystem, dramatically reducing barriers to EO data usage. Dr. Albrecht’s talk will provide insight into how Embed2Scale and sister Horizon Europe projects are pioneering this transformation using foundation models and self-supervised learning. 

All these presentations underscore Embed2Scale’s commitment to scalable, AI-powered techniques that enhance data accessibility, compression, and interpretation across key environmental domains, from maritime surveillance to greenhouse gas monitoring. 

We look forward to engaging with researchers, policymakers, and innovators at LPS25 to share insights and foster collaborations that push the boundaries of Earth Observation technology. 

More about the event: LPS25 Official Website