Transcript Application of LiDAR Technology for GCP Determination in Papua Topographic Mapping Scale 1:50.000 Wildan Firdaus - 2011 Bakosurtanal >> BIG Backgrounds Problems Solution Methodology Results Discussions Conclusions LiDAR Photos Our Team From Bakosurtanal into.

Application of LiDAR Technology for GCP
Determination in Papua
Topographic Mapping Scale 1:50.000
Wildan Firdaus - 2011
Bakosurtanal >> BIG
Backgrounds
Problems
Solution
Methodology
Results
Discussions
Conclusions
LiDAR Photos
Our Team
From Bakosurtanal into the BIG
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BACKGROUND (1)
• Bakosurtanal (now BIG) has responsibility to
provide Topographic Map for all area in
Indonesia at different scale
• Bakosurtanal (now BIG) has many old aerial
photos in Papua (photo scale 1:20.000)
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BACKGROUND (2)
• Since topography of Papua is unchanged for
last 20 years, it is possible to create
Topographic Map at map scale 1:50.000 by
using old aerial photograph data
• Aerial photo data acquisition years: 1990 –
1996
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PROBLEMS
• There is no Ground Control Point (GCP) on
aerial photo
• Aerial Triangulation (AT) need GCP
• It is very expensive and inefficient to collect
GCP by terrestrial survey since it is very large
area and difficult to access some places in
Papua
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SOLUTION (1)
• LiDAR (Light Detection and Ranging) is a latest
technology in remote sensing
• LiDAR provide elevation data at very high
accuracy and density at a relatively short time
for large area
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SOLUTION (2)
• LiDAR combined with medium format
digital camera to provide image data
• It is possible to use LiDAR data for GCP
determination on old aerial photo
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LiDAR System (1)
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LiDAR System (2)
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LiDAR System (3)
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LiDAR System (4)
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METHODOLOGY
Aerial Photo
LiDAR Workflow
- Digital Terrain Model
- Ortho Image
GCP Determination
List of GCP Coordinate
AT Workflow
List of Coordinate
Measurement
Bundle Adjustment
Exterior Orientation
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LiDAR Workflow
LiDAR Survey
Path Planning
LiDAR Data
Acquisition
LiDAR Data
Processing
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LIDAR FLIGHT PLAN
AT Workflow
Point
Selection
Pricking
Point
Measurement
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Pricking (1)
• Pricking
Transfer point from digital image LiDAR to Aerial
Photo and then performed pricking on
Diapositive
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Pricking (2)
RESULT (1)
• LiDAR Data Acquisition and Processing
Digital Surface Model (DSM)
Digital Terrain Model (DTM)
Ortho Image
800 GCP Coordinates
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RESULT (2)
• Aerial Triangulation (AT)
RMS GCP
RMS X
= 2.867 m
RMS Y
= 3.102 m
RMS Z= 0.864 m
RMS requirement
RMS XY
≤5m
RMS Z≤ 2 m
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RESULT (3)
• Aerial Triangulation (AT)
Sigma Naught = 36,98 micron
Sigma Naught requirement ≤ 30 micron
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DISCUSSION (1)
• LiDAR data can be generate to become DSM
and DTM
• LiDAR data result have good quality of
precision that fulfill the specification
• This methodology which used for collect GCP
from LiDAR data able to meet requirement
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DISCUSSION (2)
• Comparing between old aerial photo (90’s)
and digital image from LiDAR (2010), there are
many changes in detail
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DISCUSSION (3)
DISCUSSION (4)
• It is difficult to identify detail since work area
is densely forested
•
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CONCLUSION (1)
• LiDAR data has a very high intensity and
density
• LiDAR technology make pricking process
easier
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CONCLUSION (2)
• Inaccurate measurement in AT caused by
many changes in detail between old aerial
photo and digital image, Hard to identify the
point on old aerial photograph.
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CONCLUSION (3)
• Digital image from medium camera integrated
with LiDAR make it very helpful in points
identification and point transfer
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CONCLUSION (4)
• Quality of GCP that are generated from LiDAR
data is relatively good
• GCP RMS fulfill the specification from
Bakosurtanal (now BIG)
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THANK YOU
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