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.
Forest Research's Environmental monitoring is part of this use case:
Related implementations across industries and use cases
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
Forecasters spent 2,920 hours a year condensing weather data into text across 31 sea areas. AI now writes the first draft.
General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
Detectors upgraded to 100,000 images per second left annotators drowning. AI now delivers labeled 3D volumes live, at the beamline.
Consultants resurveyed from scratch—decades of data sat in silos. A database and LiDAR now surface constraints before designs lock.
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
High incident volumes across complex IT/OT networks overwhelmed security teams. Now, AI agents triage alerts so analysts can hunt threats.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
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.
Forest Research's Environmental monitoring is part of this use case:
Related implementations across industries and use cases
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
Forecasters spent 2,920 hours a year condensing weather data into text across 31 sea areas. AI now writes the first draft.
General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
Detectors upgraded to 100,000 images per second left annotators drowning. AI now delivers labeled 3D volumes live, at the beamline.
Consultants resurveyed from scratch—decades of data sat in silos. A database and LiDAR now surface constraints before designs lock.
Task-by-task, manual mapping couldn't keep pace with national recovery targets. AI now maps peatlands and tracks restoration across England.
High incident volumes across complex IT/OT networks overwhelmed security teams. Now, AI agents triage alerts so analysts can hunt threats.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.