Citation
Abdul Samad, Abdul Hadi
(2002)
Height Accuracy of Radargrammetric Generated Digital Elevation Model.
Masters thesis, Universiti Putra Malaysia.
Abstract
The stereoscopic concept used in photogrammetry was successfully extended to the
optical sensor of SPOT (System Probatoire d'Observation de la Terre) to generate the
digital elevation model (DEM) and to extract the planimetric features. Following this
success, scientists are impressively encouraged to explore the feasibility of using
stereoscopy on synthetic aperture radar (SAR) images, applying the radargrammetric
technique. In the regions where cloud cover or darkness prevails, active microwave
remote sensing data such as SAR can be fully utilized to procure information about land
surface and forest canopy.
The objective of this study is to analyze the accuracy of the elevations extracted from the
DEM generated using the radargrammetric technique as compared with the elevations
generated from the photogrammetric technique. The capability of the radargrammetric
technique and its potential in extracting the altimetric information were subsequently
assessed. The stereo RADARSAT images of Klang Valley with coverage of 100 Ian by 100 Ian
were acquired. A total of 199 Ground Control Points (GCPs) were selected on relatively
low terrains as backscattering radar data is very sensitive to the slope and high terrains.
The primary input data was the coordinates of GCPs which were extracted from the
topographical maps. When the errors produced in the GCP collection report were
acceptable, the next process was creating epipolar images and generating DEM. It was
then followed by generating the geocoded DEM.
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Additional Metadata
Item Type: |
Thesis
(Masters)
|
Subject: |
Forests and forestry - Photogrammetry - Klang Valley - Case studies |
Subject: |
Radar in forestry - Klang Valley - Case studies |
Call Number: |
FH 2002 23 |
Chairman Supervisor: |
Professor Capt. Kamaruzaman Jusoff, PhD |
Divisions: |
Faculty of Forestry |
Depositing User: |
kmportal
|
Date Deposited: |
10 Mar 2011 00:46 |
Last Modified: |
13 Mar 2024 07:38 |
URI: |
http://psasir.upm.edu.my/id/eprint/10119 |
Statistic Details: |
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