Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation

This paper addresses implementation issues in order to apply non-stationary least-squares collocation (LSC) to a practical geodetic problem: fitting a gravimetric quasigeoid to discrete geometric quasigeoid heights at a local scale. This yields a surface that is useful for direct GPS heighting. Non-...

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Main Authors: Darbeheshti, Neda, Featherstone, Will
Format: Journal Article
Published: Springer - Verlag 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/4551
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author Darbeheshti, Neda
Featherstone, Will
author_facet Darbeheshti, Neda
Featherstone, Will
author_sort Darbeheshti, Neda
building Curtin Institutional Repository
collection Online Access
description This paper addresses implementation issues in order to apply non-stationary least-squares collocation (LSC) to a practical geodetic problem: fitting a gravimetric quasigeoid to discrete geometric quasigeoid heights at a local scale. This yields a surface that is useful for direct GPS heighting. Non-stationary covariance functions and a nonstationary model of the mean were applied to residual gravimetric quasigeoid determination by planar LSC in the Perth region ofWestern Australia. The non-stationarymodel of the mean did not change the LSC results significantly. However, elliptical kernels in non-stationary covariance functions were used successfully to create an iterative optimisation loop to decrease the difference between the gravimetric quasigeoid and geometric quasigeoid at 99 GPS-levelling points to a user-prescribed tolerance.
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publishDate 2010
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spelling curtin-20.500.11937-45512017-09-13T15:54:29Z Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation Darbeheshti, Neda Featherstone, Will Geometric quasigeoid Gravimetric quasigeoid Elliptical kernel convolution Least squares collocation (LSC) Non-stationary covariance functions This paper addresses implementation issues in order to apply non-stationary least-squares collocation (LSC) to a practical geodetic problem: fitting a gravimetric quasigeoid to discrete geometric quasigeoid heights at a local scale. This yields a surface that is useful for direct GPS heighting. Non-stationary covariance functions and a nonstationary model of the mean were applied to residual gravimetric quasigeoid determination by planar LSC in the Perth region ofWestern Australia. The non-stationarymodel of the mean did not change the LSC results significantly. However, elliptical kernels in non-stationary covariance functions were used successfully to create an iterative optimisation loop to decrease the difference between the gravimetric quasigeoid and geometric quasigeoid at 99 GPS-levelling points to a user-prescribed tolerance. 2010 Journal Article http://hdl.handle.net/20.500.11937/4551 10.1007/s00190-010-0377-3 Springer - Verlag fulltext
spellingShingle Geometric quasigeoid
Gravimetric quasigeoid
Elliptical kernel convolution
Least squares collocation (LSC)
Non-stationary covariance functions
Darbeheshti, Neda
Featherstone, Will
Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation
title Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation
title_full Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation
title_fullStr Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation
title_full_unstemmed Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation
title_short Tuning a gravimetric quasigeoid to GPS-levelling by non-stationary least-squares collocation
title_sort tuning a gravimetric quasigeoid to gps-levelling by non-stationary least-squares collocation
topic Geometric quasigeoid
Gravimetric quasigeoid
Elliptical kernel convolution
Least squares collocation (LSC)
Non-stationary covariance functions
url http://hdl.handle.net/20.500.11937/4551