Gravimetric geoid refinement using high resolution gravity and terrain data

In regions where additional, spatially dense gravity and terrain information are available to augment existing data, a gravimetric determination of the geoid can be improved by incorporating these new data. In this study, 4,016 additional gravity observations, measured on a near-regular 2km by 3km...

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Main Authors: Featherstone, Will, Alexander, K., Sideris, M.
Format: Journal Article
Published: Institution of Surveyors, Australia 1996
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/17359
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author Featherstone, Will
Alexander, K.
Sideris, M.
author_facet Featherstone, Will
Alexander, K.
Sideris, M.
author_sort Featherstone, Will
building Curtin Institutional Repository
collection Online Access
description In regions where additional, spatially dense gravity and terrain information are available to augment existing data, a gravimetric determination of the geoid can be improved by incorporating these new data. In this study, 4,016 additional gravity observations, measured on a near-regular 2km by 3km grid in Western Australia have been used to compute a gravimetric geoid model using fast Fourier transform (FFT) techniques. A digital terrain model is also used during the geoid computations, which is derived from gravity station elevations and spot heights in the area. Using 21 spirit-levelled Australian Height Datum (AHD) heights in conjunction with Global Positioning System (GPS) ellipsoidal heights as control data, the standard deviation of the new gravimetric geoid is ±0.0824m. This represents a 31% improvement over the existing AUSGEOID93 gravimetric geoid and a 48% improvement over the OSU91A global geopotential model. Of these improvements, approximately 10% is due to the additional gravity data and approximately 1% is due to the terrain effects; the remainder is due to the dense gridding of the data prior to the FFT computations.
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publishDate 1996
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spelling curtin-20.500.11937-173592017-05-30T08:14:25Z Gravimetric geoid refinement using high resolution gravity and terrain data Featherstone, Will Alexander, K. Sideris, M. Australia Geoid In regions where additional, spatially dense gravity and terrain information are available to augment existing data, a gravimetric determination of the geoid can be improved by incorporating these new data. In this study, 4,016 additional gravity observations, measured on a near-regular 2km by 3km grid in Western Australia have been used to compute a gravimetric geoid model using fast Fourier transform (FFT) techniques. A digital terrain model is also used during the geoid computations, which is derived from gravity station elevations and spot heights in the area. Using 21 spirit-levelled Australian Height Datum (AHD) heights in conjunction with Global Positioning System (GPS) ellipsoidal heights as control data, the standard deviation of the new gravimetric geoid is ±0.0824m. This represents a 31% improvement over the existing AUSGEOID93 gravimetric geoid and a 48% improvement over the OSU91A global geopotential model. Of these improvements, approximately 10% is due to the additional gravity data and approximately 1% is due to the terrain effects; the remainder is due to the dense gridding of the data prior to the FFT computations. 1996 Journal Article http://hdl.handle.net/20.500.11937/17359 Institution of Surveyors, Australia fulltext
spellingShingle Australia
Geoid
Featherstone, Will
Alexander, K.
Sideris, M.
Gravimetric geoid refinement using high resolution gravity and terrain data
title Gravimetric geoid refinement using high resolution gravity and terrain data
title_full Gravimetric geoid refinement using high resolution gravity and terrain data
title_fullStr Gravimetric geoid refinement using high resolution gravity and terrain data
title_full_unstemmed Gravimetric geoid refinement using high resolution gravity and terrain data
title_short Gravimetric geoid refinement using high resolution gravity and terrain data
title_sort gravimetric geoid refinement using high resolution gravity and terrain data
topic Australia
Geoid
url http://hdl.handle.net/20.500.11937/17359