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.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Scientists spent hours processing water depths. Now, an AI-built tool automates analysis, instantly visualizing restoration needs.
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Scientists spent hours processing water depths. Now, an AI-built tool automates analysis, instantly visualizing restoration needs.
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.