Machine Learning for Earth Observation Conference

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