Endeavour Energy

Canopy Consulting developed a technology-led workflow to assess potential clashes between trees and electrical infrastructure using LiDAR data, point cloud analysis, and a machine-learning supported pipeline.

The project required more than a standard tree assessment. Vegetation and network assets needed to be understood spatially, accurately, and at scale. By working with point cloud data, Canopy was able to analyse where tree canopies interacted with infrastructure corridors and identify areas requiring closer review.

The work brought arboricultural knowledge into a digital environment. Instead of relying only on ground-based observation, tree structure and infrastructure relationships were assessed through spatial data. This allowed potential conflicts to be reviewed with greater consistency and helped direct attention to the areas where arboricultural input mattered most.

The machine-learning pipeline supported the identification and processing of tree-related data within the point cloud, creating a more efficient pathway for analysis across a complex asset network.