Machine Learning for Earth Observation Conference

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 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, 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!