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.
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
A forestry-specific page for turning L3 point clouds and ForestSmart detections into operational inventory and value-location intelligence.
Show where the stand value is, not just where the trees are.
Pair per-tree evidence with stand-level planning metrics.
Use honest relative-inventory language until field DBH calibration is available.
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.
- Use honest relative-inventory language until field DBH calibration is available.
Delivery notes
- The forestry spec explicitly calls out relative/not field-calibrated labelling.
- Per-tree metrics and stand summaries are the core commercial hook.
- 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.
What does ForestSmart add beyond tree detection?
The next angle is assortment and value: DBH, height, taper, merchantable volume, sawlog/pulp split, QA state, and stand roll-up.
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.