Landscape Vegetation Inventory
Process & Product Evaluation
Xiaoping Yuan
Forest, Lands and Natural
Resource Operations
Ian Moss
Tesera Systems Inc
Generalized Inventory Process
Identify Y-Variables
of Interest
Remote
Sensing Data
LVI Process
Williams Lake
February-16-13
Sample
Plot Data
Ancillary Data
Segment &/or Grid
RS Data
Coregstration
RS + SP + A
(t & s)
Produce RS
Data Metrics
Imputation
Pattern Recognition Training
Data
YSP = f(XRS + XA)
Get Target Data
Estimate Y-Variable
Extract Best
X-Variables
& Parameters
Display Results In A
Map &/or Image
Planning /
Decision Making
Process
Weighted Ground vs. Photo Based
Estimates: Species
• Pl (73%), Fd(13%), Sx(12%), At(2%)
• Leading species  76%
• Species percentage agreement
– Pl (83 %)
– Fd (63%)
– Sx (50%)
– At (50%)
18
16
14
12
10
8
6
4
2
0
Weighted Ground Plot Age (y)
Weighted Ground Plot Height (m)
G vs. P: Height and Age 
250
200
150
100
50
0
0
5
10
15
Weighted Photo Interpreter Height (m)
20
RMA
0
50
100
150
200
Weighted Photo Interpreter Age (y)
250
G vs. P: BA and MVOL X
30
25
20
15
10
5
0
-5 0
5
10
15
20
Weighted Photo Interpreter Basal Area
(m2/ha)
25
Weighted Ground Plot Live
Gross Volume (m3/ha 12.5 cm+)
Weighted Ground Plot Basal Area
(m2/ha)
35
300
250
200
150
100
50
0
-50
0
50
100
150
Weighted Photo Interpreter
Live Gross Volume (m3/ha 12.5 cm+)
Leading Pl vs. Non Pl
Assigning Nearest Neightbours
• Calibrate model using entire dataset.
• Apply model to each BEC Zone separately.
• Given nearest neighbours (50) find the one
with the Least Spectral Difference.
• Marginally better than unconstrained nearest
neighbour assignments (weighted fuzzy cKHAT statistic G vs NN P estimate); perhaps at
a cost (RMSPE P estimates – Reference
dataset).
Basal Area Adjustment Ratios
•
•
•
•
•
OLS, XTAB, LMS (Least Median of Squares)
Pl (N=61)
Pl in SBPS: 0.251-0.401 (LMS: 0.107; XTAB:0.552)
Pl in MS: 1.137 – 1.49 (LMS: 0.959; XTAB: 1.544)
Find adjustment ratios such that sample based
estimates of volume = population based
assuming VBAR (VDYP 7) is constant.
• Other? SX (0.46- 0.76); Not enough samples.
Thank You