Application of LiDAR Technology for GCP Determination in PapuaTopographic Mapping Scale 1:50.000

Wildan Firdaus - 2011

Bakosurtanal >> BIGBackgroundsProblemsSolutionMethodologyResultsDiscussionsConclusions

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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• 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

PROBLEMS

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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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LiDAR Workflow AT Workflow

Aerial Photo

- Digital Terrain Model- Ortho Image

GCP Determination

List of GCP Coordinate

List of Coordinate Measurement

METHODOLOGY

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Bundle Adjustment

Exterior Orientation

LiDAR Workflow

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LIDAR FLIGHT PLAN

AT Workflow

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Pricking (1)

• PrickingTransfer 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 ProcessingDigital Surface Model (DSM)Digital Terrain Model (DTM)Ortho Image 800 GCP Coordinates

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RESULT (2)

• Aerial Triangulation (AT)RMS GCPRMS X = 2.867 mRMS Y = 3.102 mRMS Z = 0.864 mRMS requirementRMS XY ≤ 5 mRMS Z ≤ 2 m

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RESULT (3)

• Aerial Triangulation (AT)

Sigma Naught = 36,98 micronSigma 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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