Machine Learning for Earth Observation Conference
Building on the success of three previous workshops, ML4EO 2026 will bring together researchers and practitioners from remote sensing, data science, and industry for three days of talks, discussions, and hands-on engagement.
| An Environmental Intelligence @ Exeter conference | |
|---|---|
| Date | 22 - 24 June 2026 |
| Time | Event spans several days |
| Place | Peter Chalk Centre |
| Provider | Environmental Intelligence @ Exeter |
Event details
Hosted at the University of Exeter, the ML4EO 2026 conference welcomes participants from academia, government, the third sector. and industry, at all career stages, to foster a vibrant, interdisciplinary community.
Overview
Advances in remote sensing have transformed Earth observation from data scarcity to data abundance, unlocking vast economic, environmental, and social opportunities. Artificial intelligence and machine learning are key to harnessing this data—powering automated insight extraction, trend prediction, and the identification of critical environmental and policy factors. At the same time, AI/ML introduces new challenges that require collaboration across disciplines.
Together, we will:
- Share scientific discoveries, best practices, and industry perspectives
- Explore emerging applications and opportunities in AI/ML for remote sensing
- Build collaborations, networks, and skills through training and discussion
Register your interest now via the website form ml4eo.org We’ll notify you as soon as abstract submissions and registration open.
If you couldn't attend in 2025, or you would like to recap, recordings are now available on the ML4EO YouTube Channel.
Mark your calendars and join us in shaping the future of machine learning for Earth observation!
Location:
Peter Chalk Centre
