A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns

The determination of physical heights is of key importance for a wide spectrum of geoscientific applications and, in particular, for engineering projects. The main scope of the present work is focused on the determination of a high-accuracy and high-resolution gravimetric and hybrid geoid model, to...

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Main Authors: Georgios S. Vergos, Dimitrios A. Natsiopoulos, Elisavet G. Mamagiannou, Eleni A. Tzanou, Anastasia I. Triantafyllou, Ilias N. Tziavos, Dimitrios Ramnalis, Vassilios Polychronos
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Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/17/2/197
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author Georgios S. Vergos
Dimitrios A. Natsiopoulos
Elisavet G. Mamagiannou
Eleni A. Tzanou
Anastasia I. Triantafyllou
Ilias N. Tziavos
Dimitrios Ramnalis
Vassilios Polychronos
author_facet Georgios S. Vergos
Dimitrios A. Natsiopoulos
Elisavet G. Mamagiannou
Eleni A. Tzanou
Anastasia I. Triantafyllou
Ilias N. Tziavos
Dimitrios Ramnalis
Vassilios Polychronos
author_sort Georgios S. Vergos
collection DOAJ
description The determination of physical heights is of key importance for a wide spectrum of geoscientific applications and, in particular, for engineering projects. The main scope of the present work is focused on the determination of a high-accuracy and high-resolution gravimetric and hybrid geoid model, to determine orthometric heights without the need of conventional leveling. Both historical and newly acquired gravity data have been collected during dedicated gravity campaigns, around the location of a dedicated GNSS network as well as areas where the existing land gravity database presented voids. Geoid determination was based on the classical remove–compute–restore (RCR) technique and spectral and stochastic approaches. The low frequencies have been modeled based on the XGM2019e global geopotential model (GGM) and the topographic effects have been evaluated with the residual terrain model (RTM) reduction. The evaluation of the final geoid model was performed over 462 GNSS/leveling benchmarks (BMs), where the newly determined gravimetric geoid has shown an improvement of 3.1 cm, in the std of the differences to the GNSS/leveling BMs, compared to the latest national geoid model. A deterministic and stochastic fit to the GNSS/leveling data has been performed, investigating various choices for the parametric models and analytical covariance functions. The scope was to determine a hybrid geoid model, tailored to the area and GNSS/leveling data, which will be the one used for the direct estimation of high-accuracy orthometric heights from GNSS observations. After the deterministic fit, a std to the GNSS/leveling data of 10.1 cm has been achieved, with 54.8% and 83.1% of the absolute height differences being below the 1 cm and 2 cm per square root km of baseline length. The final hybrid geoid model, i.e., after the stochastic treatment of the adjusted residuals, gave a std of the difference to the GNSS/leveling data of 1.1 cm, with 99.8% and 99.9% of the height difference being smaller than the 1 cm and 2 cm standard errors, thus achieving a 1 cm accuracy regional geoid.
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spelling doaj-art-c35fc19726604d1e9174dc9d19b2320c2025-01-24T13:47:41ZengMDPI AGRemote Sensing2072-42922025-01-0117219710.3390/rs17020197A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity CampaignsGeorgios S. Vergos0Dimitrios A. Natsiopoulos1Elisavet G. Mamagiannou2Eleni A. Tzanou3Anastasia I. Triantafyllou4Ilias N. Tziavos5Dimitrios Ramnalis6Vassilios Polychronos7Laboratory of Gravity Field Research and Applications (GravLab), Department of Geodesy and Surveying, Aristotle University of Thessaloniki, University Box 440, GR-54124 Thessaloniki, GreeceLaboratory of Gravity Field Research and Applications (GravLab), Department of Geodesy and Surveying, Aristotle University of Thessaloniki, University Box 440, GR-54124 Thessaloniki, GreeceLaboratory of Gravity Field Research and Applications (GravLab), Department of Geodesy and Surveying, Aristotle University of Thessaloniki, University Box 440, GR-54124 Thessaloniki, GreeceSurveying & Geoinformatics Engineering Department, School of Engineering, International Hellenic University, Terma Magnesias Serres, GR-62124 Serres, GreeceLaboratory of Gravity Field Research and Applications (GravLab), Department of Geodesy and Surveying, Aristotle University of Thessaloniki, University Box 440, GR-54124 Thessaloniki, GreeceLaboratory of Gravity Field Research and Applications (GravLab), Department of Geodesy and Surveying, Aristotle University of Thessaloniki, University Box 440, GR-54124 Thessaloniki, GreeceGeoSense PCo., Terma Proektasis Maiandrou Str., P.O. Box 352, Oraiokastro, GR-57013 Thessaloniki, GreeceGeoSense PCo., Terma Proektasis Maiandrou Str., P.O. Box 352, Oraiokastro, GR-57013 Thessaloniki, GreeceThe determination of physical heights is of key importance for a wide spectrum of geoscientific applications and, in particular, for engineering projects. The main scope of the present work is focused on the determination of a high-accuracy and high-resolution gravimetric and hybrid geoid model, to determine orthometric heights without the need of conventional leveling. Both historical and newly acquired gravity data have been collected during dedicated gravity campaigns, around the location of a dedicated GNSS network as well as areas where the existing land gravity database presented voids. Geoid determination was based on the classical remove–compute–restore (RCR) technique and spectral and stochastic approaches. The low frequencies have been modeled based on the XGM2019e global geopotential model (GGM) and the topographic effects have been evaluated with the residual terrain model (RTM) reduction. The evaluation of the final geoid model was performed over 462 GNSS/leveling benchmarks (BMs), where the newly determined gravimetric geoid has shown an improvement of 3.1 cm, in the std of the differences to the GNSS/leveling BMs, compared to the latest national geoid model. A deterministic and stochastic fit to the GNSS/leveling data has been performed, investigating various choices for the parametric models and analytical covariance functions. The scope was to determine a hybrid geoid model, tailored to the area and GNSS/leveling data, which will be the one used for the direct estimation of high-accuracy orthometric heights from GNSS observations. After the deterministic fit, a std to the GNSS/leveling data of 10.1 cm has been achieved, with 54.8% and 83.1% of the absolute height differences being below the 1 cm and 2 cm per square root km of baseline length. The final hybrid geoid model, i.e., after the stochastic treatment of the adjusted residuals, gave a std of the difference to the GNSS/leveling data of 1.1 cm, with 99.8% and 99.9% of the height difference being smaller than the 1 cm and 2 cm standard errors, thus achieving a 1 cm accuracy regional geoid.https://www.mdpi.com/2072-4292/17/2/197terrestrial gravity surveyFFTLSCgravimetric geoidhybrid geoidorthometric heights
spellingShingle Georgios S. Vergos
Dimitrios A. Natsiopoulos
Elisavet G. Mamagiannou
Eleni A. Tzanou
Anastasia I. Triantafyllou
Ilias N. Tziavos
Dimitrios Ramnalis
Vassilios Polychronos
A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns
Remote Sensing
terrestrial gravity survey
FFT
LSC
gravimetric geoid
hybrid geoid
orthometric heights
title A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns
title_full A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns
title_fullStr A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns
title_full_unstemmed A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns
title_short A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns
title_sort regional gravimetric and hybrid geoid model in northern greece from dedicated gravity campaigns
topic terrestrial gravity survey
FFT
LSC
gravimetric geoid
hybrid geoid
orthometric heights
url https://www.mdpi.com/2072-4292/17/2/197
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