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Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling

Klang Valley is a fast-growing area and its development shall be equivalent with precise measurements for a precise vertical reference. Thus, existing vertical reference with 3 centimetres (cm) is inadequate and processed with complicated remove-compute-restore (RCR) procedure. Apart from this, area...

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Main Authors: Ming, Tang Kieh, Mat Amin, Zulkarnaini, Md. Din, Ami Hassan
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
G70.212-70.215 Geographic information system
Online Access:http://eprints.utm.my/id/eprint/94171/1/ZulkarnainiMatAmin2021_LeastSquareModificationofStokesFormulaewithAdditive.pdf
http://eprints.utm.my/id/eprint/94171/
http://dx.doi.org/10.1088/1755-1315/620/1/012016
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spelling my.utm.941712022-02-28T13:25:06Z http://eprints.utm.my/id/eprint/94171/ Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling Ming, Tang Kieh Mat Amin, Zulkarnaini Md. Din, Ami Hassan G70.212-70.215 Geographic information system Klang Valley is a fast-growing area and its development shall be equivalent with precise measurements for a precise vertical reference. Thus, existing vertical reference with 3 centimetres (cm) is inadequate and processed with complicated remove-compute-restore (RCR) procedure. Apart from this, areas such as Klang Valley should better than one (1) centimetre level vertical reference. Meanwhile processing method for vertical reference should be simplified and easy tasking. Because of that, methodology for this study is by employing the least squares modification of Stokes formula with additive corrections (KTH). This approach fully uses anomalies rather than residuals which it is more complicated. At the same time, the additive corrections estimator introduced combining the direct and indirect computations method. Datasets used in this study were refined rigorously prior to the gridding scheme in cross validation, free air anomalies, as well as anomaly correction. The KTHKVGM2020 gravimetric and geometric geoid models are evaluated from the reference position using GNSS levelling. It found that KTHKVGM2020 Geoid model is better than one (1) centimetre for Klang Valley area with efficiency processing method. Therefore, the study is an essential in future to develop high-precision geoid model with efficient methods particular for urban and rapidly developing areas. 2021 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/94171/1/ZulkarnainiMatAmin2021_LeastSquareModificationofStokesFormulaewithAdditive.pdf Ming, Tang Kieh and Mat Amin, Zulkarnaini and Md. Din, Ami Hassan (2021) Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling. In: Advanced Geospatial and Surveying Conference 2020, AGeoS 2020, 7 October 2020, Perlis, Online. http://dx.doi.org/10.1088/1755-1315/620/1/012016
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.212-70.215 Geographic information system
spellingShingle G70.212-70.215 Geographic information system
Ming, Tang Kieh
Mat Amin, Zulkarnaini
Md. Din, Ami Hassan
Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling
description Klang Valley is a fast-growing area and its development shall be equivalent with precise measurements for a precise vertical reference. Thus, existing vertical reference with 3 centimetres (cm) is inadequate and processed with complicated remove-compute-restore (RCR) procedure. Apart from this, areas such as Klang Valley should better than one (1) centimetre level vertical reference. Meanwhile processing method for vertical reference should be simplified and easy tasking. Because of that, methodology for this study is by employing the least squares modification of Stokes formula with additive corrections (KTH). This approach fully uses anomalies rather than residuals which it is more complicated. At the same time, the additive corrections estimator introduced combining the direct and indirect computations method. Datasets used in this study were refined rigorously prior to the gridding scheme in cross validation, free air anomalies, as well as anomaly correction. The KTHKVGM2020 gravimetric and geometric geoid models are evaluated from the reference position using GNSS levelling. It found that KTHKVGM2020 Geoid model is better than one (1) centimetre for Klang Valley area with efficiency processing method. Therefore, the study is an essential in future to develop high-precision geoid model with efficient methods particular for urban and rapidly developing areas.
format Conference or Workshop Item
author Ming, Tang Kieh
Mat Amin, Zulkarnaini
Md. Din, Ami Hassan
author_facet Ming, Tang Kieh
Mat Amin, Zulkarnaini
Md. Din, Ami Hassan
author_sort Ming, Tang Kieh
title Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling
title_short Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling
title_full Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling
title_fullStr Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling
title_full_unstemmed Least square modification of stokes formulae with additive corrections estimator for Klang Valley geoid modeling
title_sort least square modification of stokes formulae with additive corrections estimator for klang valley geoid modeling
publishDate 2021
url http://eprints.utm.my/id/eprint/94171/1/ZulkarnainiMatAmin2021_LeastSquareModificationofStokesFormulaewithAdditive.pdf
http://eprints.utm.my/id/eprint/94171/
http://dx.doi.org/10.1088/1755-1315/620/1/012016
_version_ 1726791491820453888
score 13.211869

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