LiDAR missed 30% of the canopy. Researchers now use computer vision to map individual trees at 1-meter resolution.
The research agency responsible for monitoring Great Britain's forests supports a national mandate to increase tree canopy cover by 2% by 2050 and ensure equitable access to green spaces.
Traditional surveys and LiDAR data were prohibitively expensive to procure on an ongoing basis for national assessments. These methods also struggled...
“The high-resolution canopy height model based on DINOv2 is the most powerful open source AI model to be released in recent years and is a game changer for national-scale individual tree detection and monitoring.”
Scientific research agency specializing in forestry, tree health, and land management.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Drowning in 80,000 monthly alerts, analysts struggled to secure data. AI now prioritizes threats, cutting response time by 99%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.