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Figure 4: Location and error size of check point.
6. CONCLUSION
The study demonstrated that ALOS-PRISM DSM data has
potential to monitor slope failure disaster when the failure area
is greater than 6 m 2 . It was shown that the main requirement of
the study is successes by the research.
Even the accuracy produced by the model is enough to monitor
30 cubic meters landslide, the investigated area need more
accurate one because of only a few cm/year land displacement
are contributing to the sliding land. However, this could be a
very useful method to observe slope failure displacement
without visiting the site which had been occurred. The over all
accuracy of 3D measurement give 2.5 meters; it is almost
similar to the ground spatial resolution of the PRISM data. The
measurement produced adequate accuracy to produce 1:25,000
scales in topographic map. However, some problem still
remaining for future works such as to reduce processing time,
to improve accuracy in low contract area, and to study
impossibility of GCP collection in the close forest area.
7. FUTURE WORKS
In future, Airborne Laser Scanner DSM data will be used as
reference to investigate the consistency of PRISM DSM data. It
is possible to investigate more models and it can be verified by
drawing error vectors of each model to represent consistency of
model based on selected area.
The generated DSM are based on random points; it promotes
the difficulty to calculate displacement. However, it problem
could be solved by converting it to triangulated irregular
network (TIN) model. TIN data is ease to calculate the
displacement of slope failure with evaluation grids.
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