Gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, Colorado

Abstract Constructing a high-precision and high-resolution gravimetric geoid model in the mountainous area is a quite challenging task because of the lack of terrestrial gravity observations, rough topography and the geological complexity. One way out is to use high-quality and well-distributed sate...

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Main Authors: Tao Jiang, Yamin Dang, Chuanyin Zhang
Format: Article
Language:English
Published: SpringerOpen 2020-12-01
Series:Earth, Planets and Space
Subjects:
Online Access:https://doi.org/10.1186/s40623-020-01287-y
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spelling doaj-a7750d3bf10741e387c5e52a9bd9e2d82020-12-13T12:38:55ZengSpringerOpenEarth, Planets and Space1880-59812020-12-0172111510.1186/s40623-020-01287-yGravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, ColoradoTao Jiang0Yamin Dang1Chuanyin Zhang2Chinese Academy of Surveying and MappingChinese Academy of Surveying and MappingChinese Academy of Surveying and MappingAbstract Constructing a high-precision and high-resolution gravimetric geoid model in the mountainous area is a quite challenging task because of the lack of terrestrial gravity observations, rough topography and the geological complexity. One way out is to use high-quality and well-distributed satellite and airborne gravity data to fill the gravity data gaps; thus, the proper combination of heterogeneous gravity datasets is critical. In a rough topographic area in Colorado, we computed a set of gravimetric geoid models based on different combination modes of satellite gravity models, terrestrial and airborne gravity data using the spectral combination method. The gravimetric geoid model obtained from the combination of satellite gravity model GOCO06S and terrestrial gravity data agrees with the GPS leveling measured geoid heights at 194 benchmarks in 5.8 cm in terms of the standard deviation of discrepancies, and the standard deviation reduces to 5.3 cm after including the GRAV-D airborne gravity data collected at ~ 6.2 km altitude into the data combination. The contributions of airborne gravity data to the signal and accuracy improvements of the geoid models were quantified for different spatial distribution and density of terrestrial gravity data. The results demonstrate that, although the airborne gravity survey was flown at a high altitude, the additions of airborne gravity data improved the accuracies of geoid models by 13.4%–19.8% in the mountainous area (elevations > 2000 m) and 12.7%–21% (elevations < 2000 m) in the moderate area in the cases of terrestrial gravity data spacings are larger than 15 km.https://doi.org/10.1186/s40623-020-01287-yAirborne gravityColorado experimentGeoidGeoid–quasigeoid separationSpectral combinationSpectral weight
collection DOAJ
language English
format Article
sources DOAJ
author Tao Jiang
Yamin Dang
Chuanyin Zhang
spellingShingle Tao Jiang
Yamin Dang
Chuanyin Zhang
Gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, Colorado
Earth, Planets and Space
Airborne gravity
Colorado experiment
Geoid
Geoid–quasigeoid separation
Spectral combination
Spectral weight
author_facet Tao Jiang
Yamin Dang
Chuanyin Zhang
author_sort Tao Jiang
title Gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, Colorado
title_short Gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, Colorado
title_full Gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, Colorado
title_fullStr Gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, Colorado
title_full_unstemmed Gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, Colorado
title_sort gravimetric geoid modeling from the combination of satellite gravity model, terrestrial and airborne gravity data: a case study in the mountainous area, colorado
publisher SpringerOpen
series Earth, Planets and Space
issn 1880-5981
publishDate 2020-12-01
description Abstract Constructing a high-precision and high-resolution gravimetric geoid model in the mountainous area is a quite challenging task because of the lack of terrestrial gravity observations, rough topography and the geological complexity. One way out is to use high-quality and well-distributed satellite and airborne gravity data to fill the gravity data gaps; thus, the proper combination of heterogeneous gravity datasets is critical. In a rough topographic area in Colorado, we computed a set of gravimetric geoid models based on different combination modes of satellite gravity models, terrestrial and airborne gravity data using the spectral combination method. The gravimetric geoid model obtained from the combination of satellite gravity model GOCO06S and terrestrial gravity data agrees with the GPS leveling measured geoid heights at 194 benchmarks in 5.8 cm in terms of the standard deviation of discrepancies, and the standard deviation reduces to 5.3 cm after including the GRAV-D airborne gravity data collected at ~ 6.2 km altitude into the data combination. The contributions of airborne gravity data to the signal and accuracy improvements of the geoid models were quantified for different spatial distribution and density of terrestrial gravity data. The results demonstrate that, although the airborne gravity survey was flown at a high altitude, the additions of airborne gravity data improved the accuracies of geoid models by 13.4%–19.8% in the mountainous area (elevations > 2000 m) and 12.7%–21% (elevations < 2000 m) in the moderate area in the cases of terrestrial gravity data spacings are larger than 15 km.
topic Airborne gravity
Colorado experiment
Geoid
Geoid–quasigeoid separation
Spectral combination
Spectral weight
url https://doi.org/10.1186/s40623-020-01287-y
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