Step 1:
We capture your urban forest
Sensitive car-mounted LIDAR and high-resolution cameras record every streetside tree.

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Special Vehicle and Drones collect data for trees in parks and areas vehicles cannot access.
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Trees are monitored annually or biennially, depending on clients’ needs and budget.
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Satellites may be used for monthly tree health monitoring.
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Our specially designed urban tree machine-learning engine analyzes the data.
Step 2:
We create 4D Digital Tree Twins
Deep-learning technologies create sophisticated digital representation of each tree.
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The twin meticulously replicates each tree, with precision recognition individual leaves.
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Additionally, high-resolution photos are provided for each tree from different ranges, angles, and altitudes.
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Meaningful metrics such as position, size, first bifurcation, and lean angle are extracted.
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Scientifically proven algorithms determine failure risk, safety factor, leaf area, disease, etc.
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Longitudinal data allows for trends analysis and cohort comparisons.

Step 3:
Human + machine: the best of both worlds
Our local greenery partner develops an action plan based on client parameters: safety/health risk, vitality, clearing, age, size, etc.

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We identify subsets of trees for further review based on these objectives.
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Arborists from our local greenery partner assess each tree of this subset remotely via computer.
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If needed, pruning, removal or other interventions can be assign or on-site inspections ordered.
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If on-site inspection is warranted, arborists visit the site for field analysis.
Step 4:
Your urban forest at your fingertips
Information analytics, and more provided on greehill Inventory, our cloud-based platform.
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Easy-to use interface, including 4D Digital Tree Twins, analytics, canopy coverage, and other reports.
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High-res panoramic photos of each tree and the overall urban forest.
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Built-in interfaces to leading work-management software, such as Treekeeper.
