Step 1
Baseline
- •Network GIS + span IDs (source of truth)
- •Clearance specs by voltage + zone (wire / border / strike)
- •Encampo imagery: 15–30 cm + Sentinel‑2 monitoring (no imagery contracts needed)
Encampo fuses LiDAR, orthos, and satellite into risk rankings, clearance stats, and evidence kits—so planners and contractors execute from one standardized view
When vegetation risk isn’t objectively prioritized by zone (wire / border / strike), resources spread thin and storm exposure compounds.
Risk isn’t ranked in operational terms
“Vegetation present” isn’t the same as contact-risk in the wire zone.
Truck rolls go to the wrong places
Crews revisit low-risk spans while hot-spots linger.
Storms turn unmanaged risk into SAIDI/SAIFI
The highest exposure spans should be addressed before weather makes it urgent.
Reactive work creates repeat cycles
Without clear thresholds + evidence, scope expands, revisits rise, and closeout slows.
Utilities need objective span prioritization that becomes contractor-ready scopes and faster closeouts.
Define “high risk” once (by voltage and zone). Encampo applies it consistently across circuits and delivers the same GIS layers, scope attributes, and evidence kits. So planning, UVM primes, and audit all work from one source of truth.
Objective span prioritization
Risk scored by zone with clear thresholds
Bid-ready scope for contractors
Standard access, hazards, quantities + GIS points per span.
Defensible closeout
Before/after evidence + clearance callouts + QA metadata tied to span IDs.
Continuous satellite scoring across every span—then targeted 3D clearance checks and work packages on the spans that matter.
Step 1
Step 2
Step 3
Sortable list of highest-risk spans with zone-specific scoring.
Min / median / P95 conductor-to-vegetation distances when LiDAR/UAS 3D is available.
GeoJSON/shapefile layers with buffers and attributes ready for your GIS or work systems.
Ortho snapshots, LiDAR slices, labeled photos, and notes — packaged per span for audits and work orders.
Automated checks: CRS, point density, metadata completeness, and biases.
Access routes, constraints, and field notes to reduce wasted trips and improve crew readiness.
Satellite-first risk scoring, targeted clearance verification.
Continuous satellite screening + targeted clearance verification only where risk concentrates.