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Contribution of GRAV-D airborne gravity to improvement of regional gravimetric geoid modelling in Colorado, USA
by
Novák, Pavel
, Bašić, Tomislav
, Pitoňák, Martin
, Varga, Matej
in
Accuracy
/ Additives
/ Computation
/ Corrections
/ Earth and Environmental Science
/ Earth Sciences
/ Geodetics
/ Geoid
/ Geophysics/Geodesy
/ Gravity data
/ Levelling
/ Modelling
/ Mountain regions
/ Mountains
/ Original Article
/ Reference Systems in Physical Geodesy
/ Spectral analysis
/ Terrestrial environments
/ Wavelength
2021
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Contribution of GRAV-D airborne gravity to improvement of regional gravimetric geoid modelling in Colorado, USA
by
Novák, Pavel
, Bašić, Tomislav
, Pitoňák, Martin
, Varga, Matej
in
Accuracy
/ Additives
/ Computation
/ Corrections
/ Earth and Environmental Science
/ Earth Sciences
/ Geodetics
/ Geoid
/ Geophysics/Geodesy
/ Gravity data
/ Levelling
/ Modelling
/ Mountain regions
/ Mountains
/ Original Article
/ Reference Systems in Physical Geodesy
/ Spectral analysis
/ Terrestrial environments
/ Wavelength
2021
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Contribution of GRAV-D airborne gravity to improvement of regional gravimetric geoid modelling in Colorado, USA
by
Novák, Pavel
, Bašić, Tomislav
, Pitoňák, Martin
, Varga, Matej
in
Accuracy
/ Additives
/ Computation
/ Corrections
/ Earth and Environmental Science
/ Earth Sciences
/ Geodetics
/ Geoid
/ Geophysics/Geodesy
/ Gravity data
/ Levelling
/ Modelling
/ Mountain regions
/ Mountains
/ Original Article
/ Reference Systems in Physical Geodesy
/ Spectral analysis
/ Terrestrial environments
/ Wavelength
2021
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Contribution of GRAV-D airborne gravity to improvement of regional gravimetric geoid modelling in Colorado, USA
Journal Article
Contribution of GRAV-D airborne gravity to improvement of regional gravimetric geoid modelling in Colorado, USA
2021
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Overview
This paper studies the contribution of airborne gravity data to improvement of gravimetric geoid modelling across the mountainous area in Colorado, USA. First, airborne gravity data was processed, filtered, and downward-continued. Then, three gravity anomaly grids were prepared; the first grid only from the terrestrial gravity data, the second grid only from the downward-continued airborne gravity data, and the third grid from combined downward-continued airborne and terrestrial gravity data. Gravimetric geoid models with the three gravity anomaly grids were determined using the least-squares modification of Stokes’ formula with additive corrections (LSMSA) method. The absolute and relative accuracy of the computed gravimetric geoid models was estimated on GNSS/levelling points. Results exhibit the accuracy improved by 1.1 cm or 20% in terms of standard deviation when airborne and terrestrial gravity data was used for geoid computation, compared to the geoid model computed only from terrestrial gravity data. Finally, the spectral analysis of surface gravity anomaly grids and geoid models was performed, which provided insights into specific wavelength bands in which airborne gravity data contributed and improved the power spectrum.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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