LiDAR mapping for carbon - scionresearch.com€¦ · LiDAR mapping for carbon How can LiDAR be used to assist forest owners in their carbon accounting ... • Why: scalable, ... but
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LiDAR mapping for carbon
How can LiDAR be used to assist forest owners in their carbon accounting
Thomas Paul, Peter Beets, Mark Kimberley
Emerging Forest inventory tool
• LiDAR- Light Detection and Range
• Tasmania: ½ M hectares (2.1 M
hectares over 3 years)
• Used in Norway, Finland and other
countries for multifunctional forest
inventories
• New Zealand‟s national carbon
inventory
• Why: scalable, objective
assessment method, multiple uses
of data
What does it has to do with Carbon
and Climate Change ?
A tool for carbon assessments
• Supports national and international
reporting requirements
• Can provide a standardised
approach to measure carbon stocks
Improving and developing models
• Describing trees better
• Variability of trees under
environmental conditions
Assessment for carbon stocks
• Based on
nationwide data
• Function of p30ht
& % cover
• Explains 72.4% of
the variation
(74% full plots)
• Double sampling
increase of
precision: 6%
0
50
100
150
200
250
0 50 100 150 200 250
predicted total C (t/ha)
tota
l C
(t/
ha)
0
20
40
60
80
100
120
140
160
0 20 40 60 80 100 120 140 160
predicted AGB C (t/ha)
AG
B C
(t/
ha)
0
10
20
30
40
50
60
70
-10 -5 0 5 10 15 20 25
predicted Dead Wood C (t/ha)
Dead
Wo
od
C (
t/h
a)
Double sampling and improving precision
From plot to area• LiDAR allows the development of “wall to wall” carbon
maps based on the shown relationships
Improving models and assessing tree variability
All returns percentile heights
Cover (1st canopy returns / 1st returns in plot)
LAI depth
P50
(p-values)
Cover
% (p-values)Model R2 (%)
Log(LAI_down to 8m) 0.0002 0.0014 92
Log(LAI down to 6m) 0.0004 0.2467 86
Using LiDAR as carbon assessment tool
•Multipurpose & cost effective (carbon stocks, tree heights, DTM,
canopy condition)
•Various scales (tree, plot, stand, landscape)
•Objective unbiased method (reducing sampling error)
Applied with the right sampling design:
•measure stocks and changes
•detect the unpredictable
•statistically sound and precise
•Usable for company inventory, ETS and LUCAS (synchronising
measurement approaches)
Funding parties:
FRST, Ministry for the Environment
Thank you
Stocking assessment
Coming back to individual forests
• National inventory forms the baseline
• Links to ETS, Kyoto, EBEX®, etc and therefore schemes that allow forest owner to take part (profit from it and showing responsibility).
• Variety of possible accounting methods available but need to be approved, effective and accurate.
• Development of new methods will help to improve carbon stock assessment on individual properties
„Walk through the forest‟
LIDAR
Pool allocation model
How can such data be used?
Volume and Biomass
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