Airborne Gravimetry of GEOHALO Mission: Data Processing and Gravity Field Modeling

Biao Lu*, Franz Barthelmes, Svetozar Petrovic, Christoph Förste, Frank Flechtner, Zhicai Luo, Kaifei He, Min Li

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

Airborne gravimetry is a crucial method to improve our knowledge about the Earth gravity field, especially in hard‐to‐access regions. Generally, the accuracy of airborne gravimetry is several milligals, which is suitable for filling the so‐called polar gaps in satellite‐derived global gravity field models. Here some investigations based on airborne gravity measurements from the GEOHALO mission over Italy are presented. To subtract the vertical accelerations from the values measured by the gravimeter, four different versions of kinematic accelerations were derived from Global Navigation Satellite Systems (GNSS) recordings. To remove the high‐frequency noise, a low‐pass filter with a cutoff wavelength of 200 s was applied to both Chekan‐AM measurements and kinematic accelerations from GNSS. To investigate how future airborne gravity campaigns could be designed, a dedicated flight track was repeated two times showing that the equipment worked well also at higher altitude and speed. From the final best results follows an RMS of gravity differences at crossover points of 1.4 mGal, which, according to the law of error propagation, implies the accuracy of a single measurement to be urn:x-wiley:jgrb:media:jgrb52455:jgrb52455-math-0001 mGal. To demonstrate how a satellite‐only gravity field model can be improved by airborne measurements, a gravity field model for the GEOHALO region has been computed. To compute also an improved regional geoid model, the point mass modeling (PMM) and the remove‐compute‐restore (RCR) technique, using a recent satellite‐only model and residual terrain modeling (RTM), were applied. Finally, GNSS/leveling points have been used to check the quality of the regional point mass model.
Original languageEnglish
Pages (from-to)10,586-10,604
Number of pages19
JournalJournal of geophysical research. Solid earth
Volume122
Issue number12
Early online date23 Nov 2017
DOIs
Publication statusPublished - 1 Dec 2017
Externally publishedYes

Keywords

  • ITC-ISI-JOURNAL-ARTICLE

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