Vegetation management decisions are only as good as the measurement underneath them. Drone LiDAR captures the canopy structure, the ground beneath, and the vertical relationship between them — producing canopy height models, fuel hazard classes, clearance breach maps and biomass estimates from a single geo-referenced dataset.
Canopy height, fuel hazard, clearance compliance and standing biomass are different lenses on the same underlying height field. Toggle between them — the stats bar updates with the metric that matters to each audience.
Canopy height model. Derived directly as DSM minus DTM — the surface of canopy minus the ground classified beneath it. Tall stands appear warm; clearings, the corridor strip and a fire road read as cold cells.
Manual canopy surveys, plot-based sampling and patrol-driven inspection produce a thin, lagging picture of what's actually standing. The result: clearance breaches found late, fuel-load programmes targeting the wrong stands, and biomass estimates extrapolated from a handful of plots.
Forest mensuration based on a few hundred plots per thousand hectares is the industry norm — but it's an extrapolation from a few percent of the area. Local variation between plots is invisible until something catches fire or falls down.
Annual vegetation patrols visit each span once a year. Eucalypts under good growing conditions can put on metres of height between visits — and a span that was compliant in spring is breached by autumn.
Fuel hazard isn't just height — it's the vertical distribution of biomass from surface litter through to canopy. Visual inspection captures the top, misses the structure underneath that drives fire behaviour.
Standing biomass for carbon accounting and harvest planning typically derives from regional allometric equations applied to plot data. Useful, but not directly measured — and rarely validated to anything closer than a regional mean.
Drone LiDAR captures every cell of canopy and the ground beneath it. Canopy height, vertical structure, fuel class, biomass and clearance compliance all derive from the same geo-referenced cloud — measured, repeatable, defensible.
DSM minus DTM gives a true canopy height raster across the entire capture, not a sampled estimate. No interpolation between plots, no missed gullies.
Multi-return LiDAR sees through canopy. Return density at each elevation band reveals understorey, mid-storey and overstorey — the structure that actually drives fire behaviour and habitat value.
Distance from every canopy return to every conductor, road centreline or easement boundary — calculated directly. Breaches flagged with location, height, severity and recommended work zone.
Height + return density + species calibration produces a biomass estimate grounded in measurement rather than regional allometry. Validated to plot ground-truth on a small subset, applied wall-to-wall.
Same block, same control, year on year. Growth rates, post-harvest regen, post-fire recovery and rehabilitation success all drop out as period-on-period comparisons.
Fuel-load analysts, vegetation contractors, biomass estimators, ecologists and clearance auditors all read different views of the same underlying dataset. No re-capture per use case.
Formatted for direct use in GIS (ArcGIS, QGIS, Esri), forestry (Spatial Vision, OneFortyOne) and emergency-management tools (Phoenix RapidFire, BehavePlus).
Per-cell canopy height raster at 1–5 m resolution, computed directly as DSM − DTM. The base layer for every other vegetation product.
Class raster (low / moderate / high / extreme) computed from canopy structure and return density — sized to fire-agency or insurance reporting bands.
Spatial register of vegetation breaching corridor, road or easement clearance envelopes, ranked by severity with recommended work zone.
Per-hectare biomass estimate calibrated to species and plot ground-truth, with confidence intervals at the cell and block level.
Return density binned by elevation band (surface litter, near-surface, elevated, canopy) — the structure analysis fire-behaviour models need.
Period-on-period canopy change for growth, harvest, fire recovery, weed encroachment and rehabilitation tracking.
Confirm capture area, vegetation classification target and any required biomass calibration plots. CASA permits and landowner notifications.
Single-mobilisation drone flight covering the block or corridor at multi-return density. Capture above canopy with no ground access required.
Ground classification under canopy, CHM generation, fuel-class binning, breach computation, biomass calibration. Independent QA pass.
GIS-ready outputs landed with land manager, contractor or fire agency. Re-fly cadence aligned to growth season or compliance cycle.
We work with land managers, fire agencies, network operators and forestry teams. Tell us the block, the question you're trying to answer and the deliverable standard the downstream user needs — we'll scope a capture that hits the measurement, not just the picture.