Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data

Conventionally, for most application, position of a point is often referred to the geoid as the reference surface. Thus there is an important need for the knowledge of the geoid undulation in the area where positioning tasks is performed, This requirement is made more apparent with the advent of hig...

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Main Author: Abdullah, Khairul Anuar
Format: Article
Language:English
Published: Fakulti Kejuruteraan & Sains Geoinformasi, Universiti Teknologi Malaysia. 1997
Subjects:
Online Access:http://eprints.utm.my/4935/
http://eprints.utm.my/4935/1/Improving.pdf
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author Abdullah, Khairul Anuar
author_facet Abdullah, Khairul Anuar
author_sort Abdullah, Khairul Anuar
building UTeM Institutional Repository
collection Online Access
description Conventionally, for most application, position of a point is often referred to the geoid as the reference surface. Thus there is an important need for the knowledge of the geoid undulation in the area where positioning tasks is performed, This requirement is made more apparent with the advent of high precision using GPS where the resulting ellipsoid height must be converted to orthometric height. An ideal solution is to use a precise gravimetric solution where the geoidal height at each GPS point is computed and applied. Unfortunately, at the moment there is no such solution available in Malaysia. However. efforts are currently being made to develop a precise gravimetric geoid, For the time being, an alternative method would have to be use and the global geopotential model is one of them. [n order to increase the accuracy of computed geoid height from the geopotential model. a regression model is used in conjunction with the GPS data. The resulting accuracy estimates of the geoid height determination increases from around 60 cm 'to about 10 cm leve1.
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spelling utm-49352010-06-01T03:22:04Z http://eprints.utm.my/4935/ Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data Abdullah, Khairul Anuar TA Engineering (General). Civil engineering (General) Conventionally, for most application, position of a point is often referred to the geoid as the reference surface. Thus there is an important need for the knowledge of the geoid undulation in the area where positioning tasks is performed, This requirement is made more apparent with the advent of high precision using GPS where the resulting ellipsoid height must be converted to orthometric height. An ideal solution is to use a precise gravimetric solution where the geoidal height at each GPS point is computed and applied. Unfortunately, at the moment there is no such solution available in Malaysia. However. efforts are currently being made to develop a precise gravimetric geoid, For the time being, an alternative method would have to be use and the global geopotential model is one of them. [n order to increase the accuracy of computed geoid height from the geopotential model. a regression model is used in conjunction with the GPS data. The resulting accuracy estimates of the geoid height determination increases from around 60 cm 'to about 10 cm leve1. Fakulti Kejuruteraan & Sains Geoinformasi, Universiti Teknologi Malaysia. 1997-12 Article PeerReviewed application/pdf en http://eprints.utm.my/4935/1/Improving.pdf Abdullah, Khairul Anuar (1997) Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data. Buletin Geoinformasi, 1 (3). pp. 112-118. ISSN 1394-7702
spellingShingle TA Engineering (General). Civil engineering (General)
Abdullah, Khairul Anuar
Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data
title Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data
title_full Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data
title_fullStr Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data
title_full_unstemmed Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data
title_short Improving Geoidal Height Estimates from Global Geopotential Model Using Regression Model and GPS Data
title_sort improving geoidal height estimates from global geopotential model using regression model and gps data
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/4935/
http://eprints.utm.my/4935/1/Improving.pdf