Turn captured corridor LiDAR into review-ready utility outputs
What utility teams usually need after corridor capture
That is where Lidarvisor fits best: as the post-capture processing, review, and handoff layer that turns corridor LiDAR into outputs utility teams can act on.
What power line inspection software should help your team answer after capture
After corridor LiDAR has been captured, utility review usually comes down to a few practical questions: Where are the wires and poles, where does vegetation need closer attention, what does the terrain look like around the line, and what can the next team act on quickly? Good software should help answer those questions in the office handoff stage, not just display raw data.
- Wire and conductor review with corridor visibility and nearby hazard context
- Pole and structure context that supports field follow-up planning
- Vegetation risk screening with clear utility feature separation
- Terrain and access review using slope, ground surface, and surrounding context
A viewer is not the same as a review-ready utility workflow
Viewer only
If your software stops at a point cloud viewer, your team still has the real work ahead. Reviewers still need terrain context, vegetation screening, wire and pole review, and outputs that can move into engineering, GIS, and field follow-up workflows.
Post-capture workflow
Lidarvisor fits the post-capture step. It helps utility teams review, classify, and hand off captured corridor LiDAR in one browser-based workflow, so engineering, GIS, and field teams can work from the same utility-ready outputs instead of rebuilding context in separate tools.
A practical post-capture LiDAR workflow for power line inspection
01
Load captured corridor LiDAR and check coverage
The first step is opening captured corridor LiDAR in a workflow where reviewers can check coverage, structure visibility, and obvious terrain or vegetation issues without passing large files between separate desktop tools.
02
Classify the corridor before review decisions
Inspection gets faster when the point cloud is already separated into ground, vegetation, buildings, wires, poles, and related corridor classes. That helps reviewers focus on the features that matter instead of scanning a raw cloud.
03
Generate terrain and corridor context outputs
After classification, utility teams usually need more than a visual check. They need outputs that support follow-up across long linear corridors.
04
Export clean deliverables to the next team
The workflow only helps if the next team can act on the result. Power line inspection software should make it easy to export usable GIS and CAD deliverables instead of trapping corridor review inside one viewer.
CORRIDOR CLASSIFICATION
Review wires, poles, and vegetation in the same scene
Classified point clouds make corridor review faster because the utility features are already separated before the handoff stage begins.
Inspection gets faster when the point cloud is already separated into ground, vegetation, buildings, wires, poles, and related corridor classes. That helps reviewers focus on the features that matter instead of scanning a raw cloud. Related reading: LiDAR classification guide and point cloud vectorization.
✦ Separate ground, vegetation, wires, poles, and related corridor classes before review
✦ Reduce manual scanning across dense or cluttered utility scenes
✦ Keep engineering, GIS, and field reviewers aligned on the same corridor context
✦ Move faster into export and downstream follow-up workflows
DELIVERABLES
Generate terrain and corridor context outputs
After classification, utility teams usually need more than a visual check. They need outputs that support follow-up across long linear corridors.
They need DTM and DSM for surface context, hillshade and slope for terrain interpretation, and utility layers that can move straight into GIS, CAD, reporting, and contractor workflows without another cleanup cycle.
✦ DTM and DSM for bare-earth and surface context across the corridor
✦ Hillshade and slope for terrain complexity, access, and surrounding context
✦ Wire and pole layers for mapped utility review and downstream follow-up
✦ GeoJSON, SHP, DXF, LAS, and LAZ exports for GIS, CAD, and reporting workflows
How to evaluate power line inspection software for LiDAR work
Review speed, context, and export flexibility matter as much as basic visualization when your team is working with long utility corridors.
01
Feature separation
Can your team clearly isolate wires, poles, ground, and vegetation for review?
02
Terrain context
Can it generate outputs that support line review, access understanding, and corridor interpretation?
03
Workflow speed
Can reviewers move from raw LiDAR to usable outputs without unnecessary desktop friction?
04
Export flexibility
Can the results move cleanly into GIS, CAD, or reporting workflows?
05
Utility fit
Is it built for post-capture corridor review and handoff, not just generic point cloud viewing?
Frequently Asked Questions
It is used to review power line corridors, inspect wires, poles, terrain, and vegetation, and export outputs that support utility follow-up work.
LiDAR gives utility teams terrain context and feature separation that support corridor review, vegetation screening, and export-ready mapping workflows.
No. This workflow starts after capture. The goal is to review the corridor, generate usable outputs, and hand off results to GIS, CAD, reporting, or field teams.
Common outputs include DTM, DSM, hillshade, slope, classified point clouds, utility layers, and GIS or CAD exports for downstream handoff.
No. A viewer helps inspect the cloud, but inspection software should also support classification, terrain generation, corridor interpretation, and export-ready deliverables.