Environmental Intelligence
We develop robust, interpretable, and scalable methods to improve forest monitoring.
DASOS' Vision is a multi-disciplinary R&D upcoming lab at the University of Exeter, UK. We develop scalable & transferable solutions for better monitoring forest ecosystems.
We develop robust, interpretable, and scalable methods to improve forest monitoring.
We make large Earth Observation datasets more accessible for research and decision-making.
We study forest structure, composition, and health.
Explore the open-source tools developed by our research group.
Efficient extraction of Sentinel-1 and Sentinel-2 time series across multiple regions, processed on the Google Earth Engine cloud platform.
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Extraction of structural features from 3D windows and 2D metrics, and creation of 3D polygonal meshes from rasterised LiDAR data to tackle uneven point density.
Learn MoreHighlighting the latest and most impactful studies, carefully chosen for their significance and insight. Full list of peer-reviewed papers is available here.
Updates and milestones from our lab.
The 4th Machine Learning for Earth Observation (ML4EO) Conference was a great success! We welcomed 134 participants from 18 countries, featured 6 keynote speakers, and hosted 10 specialised workshops.
We look forward to welcoming you to the 5th ML4EO Conference at the University of Exeter, UK, next year. Save the date: 14–16 June 2027.
Check our archive hereWondering what it’s like to be part of DASOS' Vision's group? Read testimonials from members and alumni.
Explore our ongoing and completed projects.
Meet the researchers, and alumni.
Explore the open-source tools developed by our research group.
Become a member or collaborate.