TreeMetrics

“PROVIDE MORE WOOD FROM LESS TREES”

INVENTORY PLANNING AND MANAGEMENT

WP 2.3: On-Field Digital Surveys: The Problems

• Productive Area• Stratification• Stocking• Stem Taper Variation• Stem Quality Variation

Terrestrial Laser Scanning Forest Measurement System (AutoStem Forest)

Automated 3D Forest Measurement System

Trusted and Independent Data

Technology & Services3. Greater Forest Product Knowledge

Product Volumes

30%

9%

7%

7%7%

8%

23%

9%

6.1

5.8

5.5

5.2

4.9

4.6

4.3

3.7

WP 2.3: On Field Digital Survey Systems

1. Forest Mapper System (SatForm 3D, Remote Sensing, Aerial LIDAR & Imagery)

2. Terrestrial Laser Scanning Forest Measurement System (AutoStem Forest)

3. Real Time Forest Intelligence

1st Phase = Plot Selection2nd Phase = Stratif ication

Select the right plot locations =Better predict log product breakout

Product >50%

SawlogPalletPulp

New Web Based System: Forest Mapper

New Stand Analytics – Log distr ibution

Technology & Services6. Forest Valuation

2. Online Forest Valuation & Harvest Planning System (The Forest Warehouse)

Full Integration – ‘Closed Loop Control’

Multisource data

Tree modeling Parameters relationsHarvest control

Forest pre-stratificationInitial area

Spatial generalization GeostatisticsArea correction

Spatial analysis for field plots locations

TLS recordingField survey

Forest Mapping FIELD INVENTORY

Automated Processing

FINALSTRATIFICATION

WEB SERVICES

DATA ANALYTICS

Some Example Trials: International Validation & Facts

• SkogForsk Sweden 2009/2013• Coillte Results

– 2008 UCC Stats Department– 2010/2011 Industrial Trial Results

• Scotland 2008/2013– Forest Research, Forest Enterprise Scotland– James Jones

• Other Results– Greenwood Resources Oregon– SkoglandScap Norway– Forestry South Australia – US Journal of Forestry– Island Timberlands Canada

Example: Skogforsk Sweden

Strömsjöliden

Remningstorp

Site Trees Stands

Remningstorp 257 10

Strömsjöliden 586 7

Manual control measurements of all logs-Diameter and length-Approximately one diameter per meter-Average from two diameter measurements per sampling point

At Remningstorp 34 trees were measured by the operator using a caliper

Control trees

Example: Swedish Government Validation

Harvester production data- Stem length and diameter measurements were used as reference- Sample trees were harvested and harvester data collected- Diameter measurements registered every 10 cm of stem- Diameter from approx. 0.8 m height to last cut in tree

Strömsjöliden

Remningstorp

- GIS software onboard harvester for linking tree measurements from harvester with TLS

- Manually registering made by the operator at the sample plots

Linking harvester measurements with TLS data

DiameterH

100

200

300

400

500

Height

0 1000 2000

DiameterH

0

100

200

300

400

500

Height

0 1000 2000

Control trees at Remningstorp, stand 343

Spruce 343-1-06Pine 343-3-12

Diameter

HarvesterControlTLS

Site SpeciesNumber of

treesMean trees

size1 (m3) Bias Std Dev RMSERemningstorp Pine 94 1.12 0.00 0.13 0.13

1.3% 11.6% 11.7%Spruce 185 1.01 -0.01 0.11 0.11

-0.9% 9.2% 9.2%Birch 16 0.44 -0.01 0.10 0.10

-8.0% 15.6% 17.5%Strömsjöliden Pine 275 0.47 0.02 0.04 0.05

3.0% 8.8% 9.3%Spruce 339 0.27 0.01 0.04 0.04

2.6% 9.4% 9.7%Birch 29 0.21 0.01 0.03 0.03

2.6% 12.9% 13.2%

Volume estimates on individual trees

1. Volume: on bark, excluding top

Sweden Final Results: January 2013

Posit ion of in-vehicle device to driver preference

In-Vehicle Unit

Shape File & Machine Location: Geo-fence Sound Alarm, Feature Sound Alarm (Rivers, ESB Wires etc.)

Final On-Field Survey: Tree GPS posit ion and actual product breakout