Digital INNOVATION
Digital Corridor Management (DCM) integrates remote sensing, analytics, and utility expertise to identify vegetation and asset risks with greater accuracy.
By combining human insight and smart technology, we provide dynamic plans that work for you. The result is improved reliability, enhanced safety, stronger regulatory compliance, and more efficient deployment of maintenance resources.
Digital Corridor Management (DCM) integrates remote sensing, analytics, and utility expertise to identify vegetation and asset risks with greater accuracy.
By combining human insight and smart technology, we provide dynamic plans that work for you. The result is improved reliability, enhanced safety, stronger regulatory compliance, and more efficient deployment of maintenance resources.
DIGITAL WORK PLANS
YOUR WAY
DIGITAL WORK PLANS YOUR WAY
DCM modules are powered by LiDAR, oblique, and orthographic imagery, and virtual inspection software – optimized to your needs.
Analyze
Transform LiDAR, imagery, and utility data into actionable insights that prioritize risk and guide decision-making.
Inspect
Trained inspectors virtually assess vegetation and infrastructure conditions to identify defects earlier, prioritize risk, and support proactive maintenance decisions.
Plan
Using Work Management Software, create digital work plans designed around your unique program requirements and operational challenges.
Audit
DCM provides empirical evidence that work specifications have been achieved.
ARBORLINE leverages leading management tools and technology to increase efficiency in the vegetation management planning process. With the unmatched ability to store and retrieve field and workflow data housed in a modern and fully secure data center, ARBORLINE was designed for and by utility arborists.
The ArborMetrics Difference
Our team combines deep utility operational experience with advanced digital technologies to solve real-world challenges. With experts supporting programs across North America, we understand the field conditions, business requirements, and operational constraints that drive utility decision-making.
