Innovative Technology Solutions for Tomorrow
About
our company
Digital Arboriculture™ bridges modern geospatial technology with practical arboriculture, delivering data driven insight for smarter, safer, and more sustainable tree and vegetation management.
We leverage advanced LiDAR, photogrammetric, and multispectral data to transform how trees and vegetation are measured, assessed, and understood. Our approach aligns closely with the principles of forest mensuration, the science and art of measuring trees, stands, and forest systems to quantify dimensions such as height, diameter, form, volume, structure, and growth. Through rigorous point cloud classification, quality control and quality assurance, QC and QA, and high resolution vegetation segmentation, we provide reliable quantitative metrics that support informed decision making for urban forestry, utility vegetation management, and natural resource stewardship.
Our workflows operate across scales, capturing the broader context of canopy structure, stand composition, and spatial relationships, while retaining the ability to analyze individual trees at millimeter level detail. This enables precise tree segmentation, mensuration, and measurement of key attributes including height, crown characteristics, volume proxies, and spatial interfaces. These insights support growth and yield assessment, inventory development, and evaluations such as right tree, right place, vegetation and infrastructure interactions, and long term canopy and corridor planning.
By integrating spatial analytics, mathematical and statistical methods, and ecological understanding with arboricultural expertise, Digital Arboriculture™ empowers tree care professionals, municipalities, utilities, and land managers with objective, repeatable, and defensible data. This data driven foundation helps assess forest and tree health, estimate potential yields and risks, and support sustainable management decisions over time.
We do not replace arborists, we augment their expertise with digital precision.