ML4EO

Machine Learning for Earth Observation Conference
22 – 24 June 2026

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ML4EO 2026

Updates for ML4EO 2026 Coming Soon…

Overview

Advances in remote sensing have shifted the paradigm of Earth observation from data scarcity to data abundance, offering enormous potential for economic, environmental, and social benefits. Artificial intelligence and machine learning present new opportunities to harness this data, enabling automated extraction of insights, trend predictions, and identification of key environmental and policy factors. AI/ML also brings increasing challenges

Building on the success of the three previous workshops, this three-day conference will bring together experts and practitioners from remote sensing, data science, and industry to reflect on the state of the art in remote sensing and identify the most promising directions for future innovation. Hosted at the University of Exeter, the event welcomes participants from academia, the public sector, and industry, at all career stages, to create a vibrant research community.

Together we will

  • Share scientific discoveries, good practice, and industry perspectives  
  • Explore emerging applications and new opportunities for remote sensing and machine learning
  • Foster collaborations, build networks, share opportunities and provide hands-on training 

Our Sponsors

Testimonials

We’re so grateful for everyone who joined ML4EO 2025. Your voices made it a truly impactful event. Here’s what some of our participants had to share about their experience:

“It was an amazingly useful get together and the presentations really showcased the opportunities that are being developed and managed by the University and key partners”

“Really diverse talks and very inclusive environment”

“The opportunity to network and engage with ML Experts”

The broad range of topics covered, different presentation styles (e.g. posters, talks, panels, workshops), good size (there were plenty of delegates to network and discuss with, but did not feel too overwhelming), the food was great!

“I have had really valuable experiences at ML4EO both in learning about others work and sharing my own.”

“The schedule struck a nice balance between presentations, mingling, panel discussions and workshops. The workshops were also highly relevant and easy to follow.”

The event is hosted by the University of Exeter with support from the Centre for Environmental Intelligence, Institute of Data Science and Artificial Intelligence, and the Global Systems Institute