AI and satellite data that tells you exactly where vegetation threatens your network — and what you can legally do about it.
This is the moment every grid operator needs to see clearly. As the leaves come out, you can see which winter cuts were actually completed, where regrowth is already accelerating, and which corridors will be critical by July. BioGuard shows you this in real time, from the moment you activate it. No waiting. No field team. No helicopter. Your entire network, classified and risk-ranked — this week.
A power line doesn't follow roads. It cuts across mountains, valleys, forests, rivers and farmland — and every metre of that corridor has its own rules, seasons and risks.
Every zone has different rules, different risks, different timing restrictions
From satellite image to signed-off work order — fully automatic, fully documented, fully compliant.
Short reads for grid operators, agronomists and sustainability teams. No filler.
Helicopter surveys, annual inspection cycles, and reactive trimming are no longer sufficient. Climate-driven vegetation growth has outpaced the old model.
A typical DSO manages 20,000–80,000 km of medium and high-voltage line. At a helicopter survey cost of €80–150/km, annual inspection of the entire network costs €1.6M–€12M — just to see the problem, not fix it. And by the time the crew arrives, the data is already 12 months old.
Sentinel-2 delivers updated imagery every 5–10 days at 10m resolution. Combined with BioGuardNet AI classification, every span gets a risk score, species identification, and DPA clearance check — automatically, continuously, at €5–12/km/year all-in.
Early adopters report: 40–70% reduction in inspection costs, 3× improvement in critical span detection, and full CSRD/ESRS E4 compliance documentation ready for audit at any time.
Ready to see your own network analysed?
Request Free Pilot →The Corporate Sustainability Reporting Directive now requires utilities to disclose biodiversity impact in detail. Estimates are no longer accepted.
Utilities must document: which species are present in their corridors, what interventions were carried out, whether any took place in N2K zones, and what the before/after NDVI delta was. Every year. Per corridor segment.
Every BioGuard analysis run generates structured compliance data: species detected, N2K status per span, intervention history, NDVI delta, and photographic confirmation via FieldGuard. The Executive Report module produces a CSRD-ready document — no spreadsheet required.
See a sample CSRD/ESRS E4 compliance report.
Download Sample →The satellite infrastructure built for power line vegetation management turns out to be equally powerful for agricultural monitoring — at country scale.
Ambrosia artemisiifolia (common ragweed) is the most allergenic invasive plant in Europe. Under CAP regulations, infested parcels can lose subsidy eligibility — but detection has relied on manual surveys. Too slow, too expensive, too late.
AgriGuard identifies ambrosia, wheat, maize, sunflower and rapeseed with around 94% accuracy using Sentinel-2 spectral indices and phenological timing. It integrates with MePAR (Hungary), InVeKoS (Germany), APIA LPIS (Romania), and ARIMR LPIS (Poland) — directly linking field data to subsidy-eligible parcel boundaries.
Monitoring agriculture at scale. Let us show you your region.
Request AgriGuard Demo →A dual-head neural network trained on Sentinel-1 radar, Sentinel-2 multispectral, and LiDAR data — identifying what grows in your corridor before your crew sets foot there.
BioGuardNet-H simultaneously classifies species (Pinus halepensis, Quercus ilex, Quercus suber, Populus, Salix, and others) and estimates tree height in metres. The shared feature extraction layers make both outputs more accurate than two separate models would be.
On the Győr validation site (28,998 samples): height RMSE 0.312m. On a southern European pilot (1,196 samples, 5 species): around 94% accuracy.
Our Training Studio allows clients to contribute LiDAR data in exchange for a free pilot. The model improves continuously — the more local data enters, the more precise it becomes for your specific geography.
Have LiDAR data? Exchange it for a free BioGuard analysis.
Start the Exchange →The gap between "we know where the risk is" and "the crew is standing in the right place with the right permits" is where most vegetation management programmes fall apart.
From the Risk Matrix view, you lasso-select spans, filter by contractor territory, and the system: checks N2K restrictions, validates the weather window, calculates estimated cost, assigns the right contractor, and generates a PDF work instruction — automatically.
Work packages push directly to SAP PM Maintenance Orders via REST API. Status syncs back as field work progresses. FieldGuard mobile confirms completion with GPS, photo, and before/after NDVI. The loop closes.
See the full workflow from satellite to signed-off work order.
Watch Demo →Start with a free pilot on your own network data. No commitment. No setup fee.
Ready to transform your vegetation management?
No commitment required.
Test the entire system with fictional sample data. No registration. Explore dashboards, reports, AI.
🔬 Try NowGet a full analysis of YOUR network — up to 100km completely free. Real satellite data, real insights.
🚀 Apply NowRun the numbers for your specific network. See exactly how much you save with GridGuardian.
📊 Calculate ROIReview our transparent pricing and contact us to discuss your specific requirements. No surprises.
💼 View PricingStart in the Engineers' Room to explore the system risk-free with sample data. When ready, apply for your free 100km demo to see real results on your own network. Use the ROI calculator to build your business case. Then let's discuss how to proceed.
Every day without satellite monitoring is a critical span you don't know about. Start your free 100km analysis now — real data, your network, 72 hours.