<-B8, 2012
apply it to the
'est : 4km, North
select 82 sub-
anese cedar and
imate volume of
tree density and
^h (3 courses, 72
, ground height
ormation of tree
-compartment is
10 shows the
e 11 shows the
1ent map used in
ging)
80
ter
5%
ograph
periments
that of lumber
Figure 12 and
forest resource
source volume.
2 hours for
artments on the
^m succeeds in
Lumber Volume
(m°/ha)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
Lumber Remnants
) (m?/ha)
d > re portent
Figure 13. Result Map of Lumber Remnants Volume
5. USER EVALUATION
Currently, we have introduced the developed prototype of the
forest resource management GIS to the person in charge of
forest management of local autonomy and forestry company,
and got high evaluation about the basic concept of the system.
On the other hand, some practical problems are revealed. For
example, in tree density interface, user counts the number of
trees by visual interpretation. But density is not uniform even in
the same sub-compartment. So, it is necessary to count the
number of trees in separated regions on the basis of density or
to estimate density automatically by image analysis for better
accuracy. Furthermore, the information of tree species and sub-
compartment shape information recorded in the forest
registration sometimes is not accurate. Due to the change of the
forest in each sub-compartment as time goes by, for example
the intrusion by the broad-leaved tree, there are possible
problem to the estimated resource volume and income may be
larger than the real case. To solve this problem, we want to
introduce the function of tree species estimation to the system
in the future.
Moreover, though we have already carried out resource
estimation in the experiment forest of Mie University, it is still
necessary for us to examine the estimation accuracy in some
practical cases related to forest production industry.
6. CONCLUSION
In this paper, we proposed the forest resource management
system that estimates forest resources using aerial stereo
photographs. In this system, by using 3D data generated from
aerial photograph by image analysis and by providing
interactive interface, it is possible to easily estimate forest
resources such as the volume of lumber and lumber remnants.
The system shows the possibility of forest resource
management with low cost and high accuracy. The estimation
of forest resources in this system is effective to assure stable
timber supply and efficient forest resource utilization without
waste.
In the future, we aim to build a system that automatically
estimates tree species and density to reflect the current status of
forest more accurately. Further, we aim to develop a more
practical system for the tree farm with the consideration of cost
during the practical work like road planning and construction
related to the tree thinning.
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