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    Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution

    Source: Journal of Surveying Engineering:;2004:;Volume ( 130 ):;issue: 001
    Author:
    W. E. Featherstone
    ,
    S. A. Holmes
    ,
    J. F. Kirby
    ,
    M. Kuhn
    DOI: 10.1061/(ASCE)0733-9453(2004)130:1(40)
    Publisher: American Society of Civil Engineers
    Abstract: The commonly adopted remove-compute-restore (RCR) technique for regional gravimetric geoid determination uses the maximum degree of a combined global geopotential model and regional gravity data via the spherical Stokes integral. The University of New Brunswick’s (UNB) technique involves the use of a deterministically modified integration kernel, a degree-20 satellite-only reference field, integration of high-frequency terrestrial gravity anomalies over a spherical cap of 6° radius about each computation point, and a separate computation of the truncation bias used Degrees 21–120 of a combined global geopotential model. Both approaches are tested over Australia and the resulting geoid models compared with a nationwide dataset of 1,013 Global Positioning System (GPS)-leveled points, and with the most recent Australian geoid model, AUSGeoid98. A subsequent experiment considers the commission errors in the reference field used by applying a Wiener-type filter based on the global degree- and error-degree variances of the EGM96 combined and EGM96S satellite-only global geopotential models. The theoretical basis of this adapted approach will be presented, together with comparisons of the resulting geoid solution with the 1,013 GPS-leveling data, UNB, RCR, and AUSGeoid98 solutions.
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      Comparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution

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    http://yetl.yabesh.ir/yetl1/handle/yetl/35895
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    contributor authorW. E. Featherstone
    contributor authorS. A. Holmes
    contributor authorJ. F. Kirby
    contributor authorM. Kuhn
    date accessioned2017-05-08T21:01:40Z
    date available2017-05-08T21:01:40Z
    date copyrightFebruary 2004
    date issued2004
    identifier other%28asce%290733-9453%282004%29130%3A1%2840%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/35895
    description abstractThe commonly adopted remove-compute-restore (RCR) technique for regional gravimetric geoid determination uses the maximum degree of a combined global geopotential model and regional gravity data via the spherical Stokes integral. The University of New Brunswick’s (UNB) technique involves the use of a deterministically modified integration kernel, a degree-20 satellite-only reference field, integration of high-frequency terrestrial gravity anomalies over a spherical cap of 6° radius about each computation point, and a separate computation of the truncation bias used Degrees 21–120 of a combined global geopotential model. Both approaches are tested over Australia and the resulting geoid models compared with a nationwide dataset of 1,013 Global Positioning System (GPS)-leveled points, and with the most recent Australian geoid model, AUSGeoid98. A subsequent experiment considers the commission errors in the reference field used by applying a Wiener-type filter based on the global degree- and error-degree variances of the EGM96 combined and EGM96S satellite-only global geopotential models. The theoretical basis of this adapted approach will be presented, together with comparisons of the resulting geoid solution with the 1,013 GPS-leveling data, UNB, RCR, and AUSGeoid98 solutions.
    publisherAmerican Society of Civil Engineers
    titleComparison of Remove-Compute-Restore and University of New Brunswick Techniques to Geoid Determination over Australia, and Inclusion of Wiener-Type Filters in Reference Field Contribution
    typeJournal Paper
    journal volume130
    journal issue1
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/(ASCE)0733-9453(2004)130:1(40)
    treeJournal of Surveying Engineering:;2004:;Volume ( 130 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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