height obtained from satellite images, aerial photo
Figure 4. Relationship between forest carbon height obtained from forest survey data
4.4 Tree Height Measurement based on ALOS 4.4.1 Stereo Photogrammetry for PRI
Measurement: A total of 74 ALOSPRISM sc
data covering LPB province and Khamkuet prepared for making the measurements of tre
compartments, preparation of basic map for fores orthophoto maps, etc. using a gidital stereo plotter
PRISM tree height of small areas of Current Fo km grid intersection points as discussed in Sectio
BLK provinces, respectively, were obtained b results, 1042 points of 4 km grid points and 529
points were measured for the PRISM tree height results of PRISM tree heights. In LPB province,
height level was 15 - 20 m, whereas in Kham
the most frequent level was 30 - 35 m.
[ LPB province] [Khamkuet district B
Figure 5. PRISM tree heights LPB province and
4.5 Wall-to-wall Forest Carbon Stock Estim Biomass Classes
4.5.1 Mean Tree Heights of Each Biomass Cla
C= R
2
otos, etc.
n stock and upper tree
SPRISM Images RISM Tree Height
scenes with RPC model et district BLK were
tree height and forest rest GIS, and to produce
tter. Average tree heights
Forest at the 4 km and 2 ction 3.1.4 for LPB and
by operators. As the 29 points of 2 km grid
hts. Figure 5 shows the e, the most frequent tree
hamkeut district BLK
[Tree heightm]
t BLK]
nd Khamkuet district
timation using Forest Class: In view of high
correlation between biomass and tree classing based on ALOSAVNIR
measurements were aggregated in ord according to each biomass class F
PRISM tree height and the biom relationship.
Figure 6 PRISM measured tree heig
4.5.2 Estimation of Mean Forest Ca Class: Finally, the mean forest carb
was configured upon applying the me to the model shown in Figure 4 and Ta
Biomass Class
PRISM Meas
Mean tree height m
Corr carb
High 26.8
Medium 24.1
Low 18.4
Mean 21.2
Table 3. Biomass classes and forest ca
4.5.3 Preparation of Wall-to-wall Fo Map: Through applying the bioma
model, forest carbon stock estimati BLK were prepared as shown in Fig
maps, it can be seen that the area of hig border with Vietnam in the north-eas
and 2007. The rate of decline in forest 15.2 is higher than that of the fo
possible forest degradation of the area carbon stock estimated from the bioma
and IPCC’s allometry equation base comparable. This may indicate that th
reasonably well in distribution of the f that the forest carbon stock estimated
upper tree height has a certain advanta some bias due to for example accessib
Figure 7. Forest carbon stock estima BLK based on biomass classification
C=0.0959 Th
2.5373 2
= 0.92 ree heights, the results of biomass
IR2 and PRISM tree height order to seek the mean tree height
Figure 6. The mean values of omass class indicate a positive
eight and biomass class
Carbon Stock from the Biomass
arbon stock for each biomass class mean tree heights of biomass class
Table 3. easurement
orresponding forest arbon stock Tcha
Measured points
404.4 138
306.6 286
155.3 588
221.1 1,012
arbon stocks
Forest Carbon Stock Estimation
mass class vs. forest carbon stock ation maps of Khamkuet district
igure 7. On visually comparing the high forest carbon stock around the
east declined between 1993, 2000, est carbon stock from 1993 to 2007
forest area 12.5 indicating the rea. It is also shown that the forest
mass classing and upper tree height sed on DBH of forest survey are
he forest survey data are sampled e forest carbon stock. It also shows
ted from the biomass classing and ntage if the forest survey data have
sibility, etc.
imation map of Khamkuet district ion
XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia
423
5. ACCURACY ANALYSIS OF PRISM MEASUERD TREE HEIGHT
