Right-of-way monitoring is, for any long-distance transmission company, the largest hidden component of maintenance OPEX. The cost lies precisely in deciding where to clear vegetation, when to start the cutting operation, and how to confirm the work was done.

In a grid with over ten thousand kilometers of lines and dozens of active stretches, that decision repeats every day. Getting it wrong means crews sent to the wrong stretch, vegetation growing where no one passed, and an ANEEL audit with no evidence to present.

Why right-of-way OPEX is bigger than it looks in the budget

A TAESA operates one of the largest private transmission grids in Brazil: 14,677 km of lines and over 113 substations, according to a Moody’s Local credit report published in September 2025.

At that scale, right-of-way maintenance cost isn’t controlled with a spreadsheet. It’s controlled through intelligent prioritization, independent confirmation, and evidence traceability.

The problem is structural. As documented by TAESA’s own maintenance program, right-of-way management involves four continuous phases: planning, deployment, monitoring, and maintenance. Every phase requires up-to-date field data — and field data, without satellite monitoring, always arrives late.

In this context, NOR Space Intelligence joined TAESA’s operation to close three specific gaps: knowing where vegetation has advanced, confirming where clearing was carried out, and detecting encroachment before it takes hold. All with evidence auditable by ANEEL.

How the technical architecture works for a grid this size

The operation rests on three integrated layers, which don’t operate separately and don’t depend on weather conditions to function.

The first is combined SAR and optical coverage. SAR (Synthetic Aperture Radar) penetrates clouds and smoke and operates at night, guaranteeing a continuous time series even during rainy-season windows that would leave a 100%-optical operation without visibility for weeks.

On top of this backbone, high-cadence optical imagery (Sentinel-2, Planet, and Maxar on demand) delivers the resolution needed to identify invasive vegetation within spans and confirm clearing execution within thirty-meter strips.

The second layer is geospatial AI calibrated for rights-of-way. The models distinguish four types of events: invasive vegetation, encroachment or new construction, clearing execution, and canopy proximity to the conductor.

Every detection comes with a polygon, coordinates, and a date — not a generic area. That’s what allows the administrative process to open immediately, with no need for a prior visit to confirm what the satellite already saw.

The third is integration with the corporate workflow. All alerts enter via API into TAESA’s GIS and maintenance system, with no lock-in to a foreign vendor.

The mobile app with offline mode lets field crews log verification on the spot, with photo, form, and geolocation. The final version of the cycle — from image to ticket closure — is auditable with no data transfer between systems.

What 12 months of operation data show

Over more than a year of continuous operation, NOR monitored more than 70 stretches of the TAESA grid, covering about 1 million hectares of right-of-way. The most direct result: 94% detection of clearing campaigns carried out in the field, with satellite confirmation within seven days of the operation.

For a grid this size, that number carries two practical meanings. First, field crews now get sent to where vegetation genuinely requires intervention, lowering the cost per campaign.

In addition, auditing reported campaigns becomes automatic — the system confirms what was done or opens an exception when the image doesn’t match the report.

Ultimately, the main regulatory risk isn’t the vegetation itself, but a campaign reported as completed without independent confirmation. That’s the liability ANEEL finds when it goes to the field.

Why this architecture replicates across any transmission company

The logic isn’t specific to TAESA. Any transmission company with an extensive grid, right-of-way in an active-vegetation region, and a budgeted maintenance cycle faces the same problem: deciding where to act based on outdated data.

What changes from one operation to another is the calibration of the vegetation profile, typical encroachment patterns, and regulatory cadence. The architecture is the same.

For transmission companies like ISA CTEEP, AXIA, Auren, Alupar, Engie, EVOLTZ, and COPEL, the entry point is exactly that: stop buying one-off imagery and start contracting a platform that closes the loop from detection to ticket, with ANEEL evidence built in.

Request a right-of-way diagnostic for your grid

If your transmission company operates more than a thousand kilometers of line, NOR can deliver a diagnostic of your right-of-way’s current state within five business days — with a prioritization map, identification of critical stretches, and an estimate of available SAR coverage for your region.

The diagnostic is the starting point for structuring continuous monitoring or for validating whether the current operation is delivering what it reports. No field visit, no mobilization cost.

• Updated vegetation and encroachment map of your right-of-way.

• Identification of stretches with vegetation above the regulatory limit.

• Independent confirmation of clearing campaigns carried out in the last 90 days.

• Estimate of avoidable OPEX through intelligent prioritization.

• Evidence package compatible with ANEEL and concession audits.

Talk to a NOR specialist and request a diagnostic for your grid! Our team will reach out within 24 hours.