Nordic Forest Intelligence
Tree-level AI assessment for pre-harvest timber value.
Tree-level AI infrastructure for pre-harvest timber value.
MetsäTech is preparing pilot-grade automated tree-level assessment for standing forests: every tree measured, quality-scored, mapped to assortments, valued, and translated into a pre-harvest commercial decision before value is lost.
The goal is to move timber intelligence upstream — from stand-level estimates and mill-side measurement to the standing tree itself.
Mill intake can measure the log after the cut. MetsäTech is designed to expose the commercial options before the cut.
Precision target
Engineering target: 5 mm stem-geometry precision along the commercial length of the tree.
Commercial object
Every standing tree as a commercial object
Before harvest
Operator-ready bucking logic before harvest
The value is lost before it is measured
Commercial value is still decided too late in the chain.
Existing forest plans, timber cruises, open data, and manual inventories usually do not create a repeatable, machine-verifiable commercial record for every standing tree. They may estimate volume, but they do not consistently deliver the precision, quality signals, and operator-ready decisions needed to maximize value before harvesting begins.
Stand-level averages hide stem-level value
Not another rough forest estimate — a tree-level value layer.
Defects and curvature change optimal cuts
Measure before harvest. Decide before value is lost.
Premium stems disappear into commodity channels
Premium stems should not disappear into commodity flow.
From forest scan to commercial decision object
From scan to commercial decision object
Every standing tree becomes a commercial decision object. Automated and robotic pre-harvest assessment turns each tree into coordinates, geometry, quality signals, assortment potential, and a commercial value scenario. The output is not just a map; it is an action plan.
From stem geometry to bucking logic to buyer-specific routing.
Scan
LiDAR / photogrammetry pass
Identify
Tree ID + stem track lock
Measure
DBH, height, geometry curve
Quality-score
Defect and straightness signals
Optimize bucking
Buyer thresholds and sawlog cuts
Route value
Premium, standard, pulp scenarios
Operator instruction strip
Selected stems routed before harvest window closes.
Compartment mode
Tree IDs, quality flags, and buyer logic aligned on one field layer.
Sample output
What the assessment returns
The output is not a prettier inventory. It is a decision layer: tree ID, location, stem geometry, quality signals, expected assortments, sawlog recovery estimate, total sawlog length, premium flags, bucking scenario, and commercial value scenario.
Prototype engineering target: up to 5 mm stem-geometry precision along the commercial stem length, subject to field validation by species, visibility, bark condition, and scanning method.
Tree object preview
Selected standing tree assessment
Fictional interface sample — not a validated customer dataset. Accuracy targets and field validation data will be published separately.
Species
Norway spruce
Coordinates
61.1142, 24.8815
Total height
27.4 m
Lower bole straightness
High
Defect zone
10.8–11.4 m minor defect
Assortment scenario
6.0 m sawlog + 4.2 m sawlog + pulp remainder
Routing flag
route: Buyer North
Commercial stem profile
0–18.7 m commercial length
orientation
butt left / top right
sawlog summary
2 sawlogs / 10.2 m total
defect handling
isolated after segment 2
butt class
Straight lower bole
defect influence
10.8–11.4 m isolated
buyer rule
158 mm top-diameter threshold
Compartment snapshot
Measured-compartment preview showing tree positions, classes, access trail, and a selected commercial object.
Regular conifer stems
Premium candidate
Caution / defect-risk
Pre-harvest bucking scenario
MT-041 / Norway spruce
Individual-tree bucking before the harvester arrives
A measured Norway spruce stem becomes a commercial decision object: sawlog zones, defect interval, buyer top-diameter threshold, and value uplift are planned before harvest.
Fictional interface sample — not validated customer dataset.
Planning basisCommercial height 18.7 m with defect zone isolated after the second sawlog segment.
Buyer ruleSawlog acceptance is held until the 158 mm top-diameter threshold is crossed in the upper stem.
Outcome notePulp fallback avoided on second segment, preserving a 6.0 m + 4.2 m sawlog scenario before upper residual routing.
Use cases
Where the value is recovered
Commodity softwood uplift
Recover sawlog value lost to standard cuts and average stand planning.
Premium stem discovery
Flag high-grade, rare, or non-standard stems before they disappear into commodity flow.
Seller-buyer trusted inventory
Create a machine-verifiable basis for negotiation before harvest.
Expected vs actual reconciliation
Compare pre-harvest plan with harvester, roadside, truck, mill, and realized-price data.
The verified data layer for timber opportunities
The industry does not need another rough forest estimate. It needs scalable tree-level commercial intelligence — with the precision, repeatability, and detail that manual fieldwork and previous forestry technologies could not economically deliver before value was lost.
Every scanned tree becomes a verified supply object. Every verified supply object can become a market object. Over time, this creates the data layer for a timber opportunity network based on what the forest actually contains, not only on self-reported seller descriptions.
The future timber marketplace starts with verified primary forest data.
For sellers and buyers, the same scan creates a shared trusted basis for negotiation: a machine-verifiable record of what was standing on the site before harvest.
Coming soon
Public modules prepared as premium blurred previews.
Technology
Measurement stack
Tree-level sensing, geometry reconstruction, and quality-signal extraction.
Open page Coming soonDemo
Interactive demo
Visual exploration of scan layers, tree objects, and routing scenarios.
Open page Coming soonReports
Sample reports
Compact commercial reports for compartments, stems, and expected value distribution.
Open page Coming soonOptimization
Buyer-specific optimization
Specification and price-list driven bucking logic per buyer and outlet.
Open page Coming soonVerification
Verification layer
Planned comparison between expected output and realized roadside, truck, and mill outcome.
Open page Coming soonAPI
API / Data layer
Structured export of tree objects, quality signals, and routing recommendations.
Open page Coming soonSecondary note
Selected Nordic roundwood inquiries
We also handle selected roundwood sourcing discussions in Finland and Sweden. For roundwood inquiry, supply discussion, or procurement contact, email timber@metsatech.online.