National Drones

ForestSmart inventory, log assortment, and LiDAR intelligence

SmartData forestry workflows are moving beyond tree detection into stand summaries, per-tree stem metrics, sawlog and pulpwood assortment, and Cesium overlays for review.

Status

Active buildout

Best-fit audience

Forestry asset managers

Drone operating on a forestry track for SmartData forestry analytics

Plan a forestry pilot using LiDAR and ForestSmart to explore tree detections and relative inventory estimates. These capabilities are in active development.

Show where the stand value is, not just where the trees are.
Pair per-tree evidence with stand-level planning metrics.
Results remain relative inventory until field DBH calibration is supplied and validated.

What this unlocks

Connect source data, SmartData processing, hosted views, and review outputs so operational teams can move from capture to decisions with less file handling.

Forestry-flagged datasets and controlled analysis actions

Per-tree detections with DBH, height, taper, and QA state

Stand roll-ups: stems per hectare, merchantable volume, sawlog and pulpwood split

Grade-spec driven re-runs without overwriting old runs

Cesium markers, heatmaps, legends, and run history

Relative inventory labelling until field calibration is supplied

Workflow story

1

Capture or process a georeferenced forestry point cloud, ideally from DJI L3 where appropriate.

2

Run ForestSmart detection and inventory analysis on forestry-flagged datasets.

3

Review stand summary cards, assortment charts, and per-tree tables.

4

Use Cesium overlays to inspect tree markers, sawlog value zones, and QA states.

5

Export inventory summaries and rerun with different grade specs when needed.

Commercial use cases

  • Show where the stand value is, not just where the trees are.
  • Pair per-tree evidence with stand-level planning metrics.
  • Results remain relative inventory until field DBH calibration is supplied and validated.

Delivery notes

  • Results are labelled as relative inventory unless field calibration has been supplied and validated for the project.
  • Per-tree metrics and stand summaries help teams assess stand condition and potential value.
  • Outputs can include tree markers, stand cards, assortment charts, QA states, and inventory tables.

Forestry asset managers

SmartData gives this team a hosted workflow for turning complex capture outputs into reviewable evidence.

Plantation survey and inventory teams

SmartData gives this team a hosted workflow for turning complex capture outputs into reviewable evidence.

LiDAR teams validating stand-level outputs

SmartData gives this team a hosted workflow for turning complex capture outputs into reviewable evidence.

Common questions

Straight answers about inputs, availability, outputs, and where human review still matters.

Is this a field-calibrated inventory replacement?

Not by default. Treat it as relative inventory unless field calibration has been supplied and validated for the project.

What does ForestSmart add beyond tree detection?

ForestSmart adds assortment and value context: DBH, height, taper, merchantable volume, sawlog and pulpwood split, quality status, and stand summaries.

How does DJI L3 connect?

Georeferenced L3 point clouds give ForestSmart richer multi-return LiDAR inputs for canopy, stem, and ground context where the capture supports it.