Detecting Vegetation Risk with Lidarvisor

Trees growing too close to power lines cause outages, spark wildfires, and lead to regulatory penalties. Lidarvisor automates the entire vegetation risk detection process, from point cloud upload to actionable reports.

Utility vegetation management (UVM) is critical for keeping electrical networks reliable, compliant, and safe. Traditional methods rely on visual inspections from the ground or helicopter, but these are labor-intensive, subjective, and often miss risks until it is too late.

LiDAR offers a high-resolution, 3D view of both infrastructure and surrounding vegetation, detecting clearance violations, encroachments, and fall-risk trees with accuracy and consistency.

Lidarvisor is a cloud-based platform designed specifically for utility vegetation management. Upload your LiDAR point cloud, configure vegetation risk settings, and receive detailed reports and spatial data outputs, all without needing GIS or LiDAR processing expertise.

The platform automatically classifies power lines, poles, vegetation, ground, and buildings, then analyzes risk based on your custom corridor and clearance settings.

Follow this workflow to go from raw LiDAR data to a complete vegetation risk assessment with exportable deliverables.

• Power lines and conductors
• Poles and towers
• Vegetation, ground, and buildings

• Power Line Vectorization: detect and model conductors in 3D
• Buffer Corridor Setup: define up to 3 corridor widths (e.g., 3m, 5m, 10m)
• Clearance Thresholds: set minimum safe vertical distances between wires and vegetation
• Fall-Risk Margin: identify trees outside corridors that could strike conductors if they fall

After setup, Lidarvisor performs classification, vectorization, and vegetation risk analysis in one go.

• Visualize the classified and vectorized point cloud
• Inspect vegetation relative to power lines
• Confirm asset segmentation and classification accuracy

Risk zones and fall-risk trees appear in the downloadable report rather than the viewer.

• SHP files for GIS systems
• DXF files for CAD environments
• CSV tables for risk summaries and reporting

Each export includes risk clusters, classified features, and spatial buffers.

LiDAR is quickly becoming a cornerstone of modern utility vegetation management, but only when paired with tools that make it actionable. Lidarvisor offers a fast, scalable way to detect vegetation risk without manual processing or specialized software.

From line classification to fall-risk analysis and report generation, it transforms raw LiDAR into decisions you can act on immediately.

Infrastructure
• Bridge & Road Inspection
• Powerline Extraction
• Construction

Natural Resources
• Forest Inventory
• Forest Guide
• Vegetation Management

Geospatial
• Surveying
• Terrain Mapping
• Archaeology