Quick Summary
- Utility vegetation management software helps utilities decide which spans to trim next, based on what inspections actually found.
- Fixed trim cycles treat every mile the same. Risk-based trimming sends crews to the spans where growth and consequence are highest.
- The switch only works if every vegetation finding is tied to an asset, graded the same way, and ranked by outage, fire, and safety risk.
- Utileyes ties drone photos to each pole and span, tags severity to your standards, and exports findings to the GIS and work order systems you already run.
Utility vegetation management software turns inspection findings into a ranked trim plan, so crews work the riskiest spans first instead of whatever the calendar says is next. The goal is simple: spend the trim budget where trees are most likely to cause an outage, a fire, or a safety problem.
Utileyes is drone inspection software for utilities, built by people who flew utility inspections. This guide covers one specific job: using inspection data to move from a fixed trim cycle toward risk-based trimming.
Our earlier post on drone ROW monitoring covered how to spot encroachment. This one covers what to do with those findings once you have them.
What is utility vegetation management software?
Utility vegetation management software is a system for recording, grading, and scheduling tree and brush work near power lines. It stores each vegetation finding against a specific pole or span, ranks findings by risk, and hands the work to trim crews or contractors. Good software also keeps the history, so you can see how fast each corridor grows back.
Vegetation management, often shortened to UVM, means keeping trees and brush a safe distance from conductors and equipment. It matters because trees are one of the most common causes of outages.
A utility vegetation management survey by CNUC and the University of Wisconsin, Stevens Point, found that responding utilities attributed an average of 23.2% of distribution outages to vegetation, as reported by T&D World. That share makes the trim plan one of the biggest reliability levers a utility controls.
What is the difference between cycle-based and risk-based trimming?
Cycle-based trimming revisits every circuit on a fixed schedule, such as every few years, no matter what is growing there. Risk-based trimming uses inspection data to decide which spans need work now and which can wait. Both keep the whole system covered. The difference is how the next dollar gets spent.
Fixed cycles are common. The U.S. Department of Energy's Vegetation Management Resilience Investment Guide lists utilities running three-year cycles on feeders and five- or six-year cycles on laterals.
A cycle is easy to plan and easy to budget. The weakness is that fast-growing corridors and slow ones get the same attention.
| Factor | Cycle-based trimming | Risk-based trimming |
|---|---|---|
| What sets the schedule | The calendar | Inspection findings and risk |
| Data needed | Circuit list and last trim date | Findings tied to each pole or span, graded the same way |
| Crew focus | Every mile on the circuit | Highest-risk spans first |
| Budget planning | Predictable year to year | Shifts as findings change |
| Main risk | Fast-growing spans wait too long | Poor data leads to poor priorities |
| Best fit | Programs with little inspection data | Programs that inspect on a regular schedule |
Most utilities do not flip a switch. A common path is to keep the base cycle and use inspection data to pull high-risk spans forward and push low-risk ones back.
What should a vegetation finding record?
A vegetation finding should record the asset it belongs to, a photo, how close the vegetation is, what kind of growth it is, and a severity grade. It should also note what is at stake: a three-phase feeder, a line in a fire-prone area, or a span over a road. Without those fields, findings cannot be ranked.
Build the form once and use it on every flight. A practical vegetation form includes:
- Asset ID: the pole or span the finding belongs to.
- Photos: at least one wide shot and one close shot of the contact point.
- Clearance category: for example, touching, near contact, or inside the trim zone. Use your utility's own definitions.
- Growth type: overhang, side growth, vines on the pole, or a hazard tree outside the right-of-way.
- Severity: one grade, using the same scale every inspector uses.
- Notes: access issues, landowner concerns, or anything the trim crew needs before arrival.
Utileyes supports customizable inspection forms, so you can match these fields to your own vegetation standards instead of bending your standards to the software.
How do you rank trim work by risk?
Rank trim work by combining two things: how likely the vegetation is to cause a problem, and how bad that problem would be. A branch touching a lightly loaded tap is less urgent than a branch near a main feeder in dry country. Score both, then sort. The top of the list becomes next month's trim plan.
This is where severity tagging does its job. Utileyes lets each utility tag findings by outage risk, fire hazard, or safety priority, using its own standards.
Likelihood: how close and how fast
Likelihood comes from the finding itself. Vegetation already touching a conductor ranks above growth that is still outside the trim zone. Comparing findings from past inspections shows which spans grow back fastest.
Consequence: what is downstream
Consequence comes from the asset. Ask how many customers sit behind the span, whether it runs through a fire-prone area, and whether a failure would put the public near a downed line. Your GIS usually holds those answers.
Keep the scale simple
Three or four severity levels are easier to apply the same way than ten. If two inspectors would grade the same photo differently, the scale needs tightening before it drives a budget.
How does inspection data become a trim plan?
Inspection data becomes a trim plan when ranked findings leave the inspection tool and land where trim crews and planners already work. That means exporting findings with their asset IDs and locations into GIS, then creating work orders grouped by area. After the trim, a follow-up photo closes the loop and resets that span's history.
Utileyes does not replace your GIS or work order system. It integrates with GIS and work order systems and exports CSV files compatible with ArcGIS/ESRI.
A practical flow looks like this:
- Capture: fly the circuit and upload photos. Utileyes organizes photos by GPS location and asset ID.
- Check: built-in QA flags mismatched or misplaced images during upload, so bad data does not reach the ranking.
- Grade: reviewers fill out the vegetation form and tag severity.
- Rank and export: sort by risk, then export to GIS for planning and work order creation.
- Verify: re-shoot trimmed spans so the next ranking starts from current conditions.
Executive dashboards help leaders see coverage and open anomalies across the program without opening every photo.
Real-world example: putting findings to work
Utileyes was built with utility linemen and drone pilots, and its founders personally flew more than 10,000 utility inspections. One lesson from that field work: findings are only useful if they reach a crew quickly.
In Utileyes, the time from photo captured to crew dispatched can be as little as 15 minutes. For vegetation, that speed matters most on the urgent end, such as a limb resting on a conductor. Routine findings can wait for the ranked trim plan, while urgent ones go straight to dispatch.
Utileyes also estimates about 50% lower inspection cost than outsourcing to vendors. For a vegetation program, lower inspection cost can make it practical to inspect more often, which keeps the risk ranking current. See how this fits different utility use cases.
Frequently Asked Questions
Does risk-based trimming replace trim cycles?
Usually not at first. Many programs keep a base cycle and use inspection data to adjust it. High-risk spans move up, and low-risk spans can wait a little longer.
Can drone photos show vegetation clearance?
Drone photos show where vegetation sits relative to conductors and equipment, which supports a clearance category such as touching or near contact. Exact distance measurement usually calls for tools such as LiDAR. Many utilities use photos for grading and save measurement tools for corridors that need it.
How often should vegetation be inspected?
It depends on growth rates, fire risk, and your utility's own standards and regulators. Corridors that grow back quickly or run through fire-prone areas usually need more frequent checks than slow-growing ones.
Is vegetation management software only for transmission lines?
No. Distribution lines run through more yards, streets, and tree canopy than transmission lines do, so distribution programs often have the most findings to rank.
Can the same software handle vegetation and equipment inspections?
Yes. Utileyes organizes photos by asset, so vegetation findings and equipment defects from the same flight sit against the same pole or span. Each finding can use its own form and severity tag.
Build a Trim Plan Around What You Actually Found
Trim cycles are a good floor, but they do not tell crews where the risk is today. Graded, asset-tied vegetation findings do. Utileyes helps your team capture those findings, rank them, and get them to the crews who trim.
Schedule a demo to see how Utileyes fits your vegetation program.
