Satellite analytics tells you where the risk is. FieldGuard is what happens next: it turns detections into work packages, packages into priced orders, orders into completed cutbacks — and then verifies the result from orbit. One process, one audit trail, no spreadsheets in between.
A single, auditable flow. Not every job runs every step — flat-rate work can skip quoting — but the shape stays the same, and it always closes in orbit.
These views come straight from the live platform running on real distribution networks. Line IDs and territories are anonymized; the workflow, data and screens are exactly what your team gets.
The full distribution network is always on screen; vegetation risk is a toggleable layer on top. Click any span to open its measured evidence — height, species and clearance margin.
Canopy height, tree species and a year-over-year growth series — fused from spaceborne LiDAR and radar-optical satellite data. See exactly which crowns breach the clearance envelope, and when.
A priority matrix (clearance risk × growth trend) with hard KO gates groups risky spans into economically sensible work packages. Every package answers “why this package?” with its underlying evidence.
Every package is a card moving through named, event-driven stages — from quote requested to satellite-verified closure. No free-text statuses, no orders lost in an email thread.
Quote requests arrive with the package map and scope attached. The contractor prices it, receives the order, and reports completion with geotagged photos — everything on the package, nothing in email.
Any rugged handheld or Android/iOS phone: full task list, GPS guidance and photo capture, fully offline in remote corridors, with automatic sync the moment signal returns.
Aggregate analytics across the entire network: clearance-category distribution in kilometres, tree-species mix, an independent land-cover cross-check (ESA WorldCover), and a data-reliability breakdown — planning rests on measurements, cross-validated against independent data.
Type or speak a question — “how many KAT3 sections in Natura 2000?”, “which line carries the most risk?”, “how much will it grow by 2030?” The answer is computed from your own data and shown on the map. The AI detects and suggests; people decide and approve — auditable automation, not a black box.
Every role sees the same packages through its own lens — planners model, dispatchers move, contractors execute, leadership audits.
Automated, data-driven package formation from a priority matrix (clearance risk × growth trend). Every generated package answers "Why this package?" with the underlying spans, risk scores and vegetation evidence — explainable planning, not a black box.
A Kanban board across all lifecycle stages plus a per-package progress track. Attachments live on the package: quote request letter, package map PDF, incoming quote, completion photos, performance protocol. Nothing lives in email threads.
A virtual inbox for quote requests: contractors receive the package map, submit a price, get the order, and report completion with geotagged photos. Supports two-tier contractor binding — permanent territorial assignment and order-level award can differ.
Automated reporting with human oversight. Program-level status across every package and contractor, a complete event log per order, and audit-ready documentation generated as a by-product of the workflow — not as extra work at quarter end.
The modeler groups risky spans into economically sensible work packages by line, geography and priority — with target package size, distance and volume constraints you control.
Transitions are named events (quote sent, quote received, ordered, completion reported…), each logged with actor and timestamp. Roll-back is an event too — the history is never rewritten.
Real canopy height and species per span, with year-over-year time series, fused from spaceborne LiDAR and radar-optical satellite data — so planning decisions rest on measurements, not drive-by guesses.
iOS & Android, fully offline for remote corridors. Work orders, GPS tracking, photo capture with AI annotation, and automatic sync when connectivity returns.
First from the ground: geotagged, timestamped completion photos. Then from space: the next satellite acquisition independently confirms the cleared corridor.
FieldGuard consumes detections from SATGuard and BioGuard directly and feeds results back into the same risk model — every completed package improves the next planning cycle.
Satellite-only vendors hand you a risk map and leave execution to spreadsheets. Field-app vendors track crews but can't see the vegetation. FieldGuard is the only layer that carries a detection through quoting, ordering and execution, and then closes it with independent satellite post-verification — built on the same measured vegetation data (validated canopy height at ±1.8 m mean error) that raised the flag in the first place.
FieldGuard's workflow isn't a startup's guess at how utilities operate. It was shaped together with vegetation-management practitioners who have worked this process in the field for years, day in and day out — the package structures, the contractor binding model and the verification steps are the distilled version of how the job is actually run. That's why the lifecycle above matches how your dispatchers really work.
Bring your GIS corridor data — satellite monitoring is live within 24–48 hours, and we'll walk your team through the complete detection-to-verification workflow on real spans.
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