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!
Embed2Scale to present on AI-Driven Data Compression at ESA-NASA Workshop
The Embed2Scale project will be actively participating in the ESA-NASA Workshop on AI Foundation Models for Earth Observation and Earth Sciences, taking place in May 5-7, 2025, at ESA’s ESRIN in Frascati, Italy. The workshop will bring together experts from the European and international AI and EO communities to explore the advancements, challenges and real-world…
Update: CVPR Earthvision Data Challenge – Dev phase results
Embed2Scale’s CVPR EarthVision Data Challenge, has successfully concluded its Development Phase and we are thrilled to share some key insights! Over the course of the challenge, 36 teams registered, with 23 actively making a total of 463 submissions. This impressive engagement highlights the growing interest in lossy neural compression methodologies and their impact on geospatial…