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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