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TreeMetrics
“PROVIDE MORE END PRODUCT FROM
LESS TREES”
WP 4.1: Data Mining and Model Integration of
Stand Quality Indicators
•Stem Taper Variation
•Stem Quality Variation
– Straightness
– Branching
– Internal wood quality

•Stem Bucking Simulation Systems
Log Quality: Straightness (Sweep), Taper,
Branching ,Rot,
New Opportunity UAV data
Terrestrial Laser Scanning Forest Measurement System
(AutoStem Forest)

Automated 3D Forest
Measurement System
New Stand Analytics – Log distribution
Harvest Modelling

•‘Cutting to Value’ (Value Optimisation)
•‘Cutting to Demand’ (Keep the market satisfied)
– Manage the trade off’s
– Combinatorial problem
– Constraint Modelling
The Problems
•
•
•
•
•

Productive Area
Stratification
Stocking
Stem Taper Variation
Stem Quality Variation
Products & Value
The Products
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm
•
•
•
•

Taper Variation
Straightness
Branching
Rot etc.

Large Sawlog M3?
The Products: General Values
7cm
Pulp = €20 per M3
14cm
Small Sawlog = €40 per M3
16cm

Large Sawlog = €60 per M3
The Problem - “The Collision of Interests”
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Large Sawlog M3?
Maximise Value
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Large Sawlog M3?
Maximise Value: Sawlog Lengths
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Option 1

3.7m

Large Sawlog M3?
Maximise Value: Sawlog Lengths
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Option 1

3.7m

Large Sawlog M3?
Maximise Value: Sawlog Lengths
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Option 2

4.3m
Large Sawlog M3?
Maximise Value: Sawlog Lengths
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Option 2

4.3m
Large Sawlog M3?
Maximise Value: Sawlog Lengths
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Option 3

4.9m
Large Sawlog M3?
Maximise Value: Sawlog Lengths
7cm
Pulp M3?
14cm
Small Sawlog M3?
16cm

Option 3

4.9m
Large Sawlog M3?
Harvester Optimisation
Our Offering
Better Management
• Targets
• Incentives
• Monitoring
Competitive Advantage
“the stronger the LINKAGES between the primary and
secondary producers the greater the source of competitive
advantage”
Michael Porter, Harvard Business School
Summary

•ekeane@treemetrics.com
•www.treemetrics.com

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Slope task 4.1 by treemetrics

Editor's Notes

  1. Treemetrics Hello It’s a great honour to speak at Austimber. In the fist decade of the 21st century we are getting used to living in what Thomas Friedmann the pulitzer prize winner calls a hyper connected world. In the first decade of the 21st century we are getting used living in a highly uncertain world with unstoppable risks. The experts are telling us that this is the new norm. In this first decade we have witnessed fusion, fission nanotech, biotech, Big Data they tell us is the next big thing in technology. All in all amazing strides! In the forest industry however we are still using a 19th century tool called the calipers to measure our forests. Today I would like to offer the industry a viable alternative
  2. The real problems