Testing Airborne Gravity Data in the Large-Scale Area of Italy and Adjacent Seas

Barzaghi, Riccardo; Albertella, A.; Carrión, Daniela; Barthelmes, Franz; Scheinert, Mirko

doi:10.1007/1345_2015_45

Cited by 9 publications

(11 citation statements)

References 8 publications

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“…The Italian ground gravity coverage is quite poor in the Alpine region and some areas of the Apennines. In addition, the comparison between preliminary GEOHALO gravimetry measurements (which are low accurate with low resolution) and Italian ground‐based data has shown that there exist some biased ground data in the northern area of the Adriatic Sea (Barzaghi et al, ). Therefore, the latest processed airborne gravimetry measurements of GEOHALO mission in this article are expected to further assess the quality and homogeneity of the Italian ground‐based data.…”

Section: Numerical Results and Analysismentioning

confidence: 99%

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

Barthelmes

Förste

et al. 2017

JGR Solid Earth

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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 1.4/2≈1 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.

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Section: Numerical Results and Analysismentioning

confidence: 99%

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

Barthelmes

Förste

et al. 2017

JGR Solid Earth

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“…Hence, it could be shown that for all flight profiles the measured gravity data coincide well with predictions by the recent global high-resolution gravity field model (EIGEN-6C4, see Section 5.1). Moreover, due to the long flight lines inconsistencies in the Italian gravity database could be recovered (Barzaghi et al 2015). Generally, introducing GEOHALO airborne gravimetry data into the POI yields reasonably accurate results in areas with mostly homogeneous density distribution (Tyrrhenian Sea).…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…Likewise, airborne laser altimetry was applied at such large altitudes to effectively retrieve SST (Henkel 2014). Results of GEO-HALO airborne gravimetry were discussed by Petrovic et al (2015), Barzaghi et al (2015) and Lu et al (2017), and are now used in this study.…”

Section: Inversion Of Geohalo Aerogravimetrymentioning

confidence: 99%

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Inversion of GEOHALO aerogravimetry to infer ocean bottom topography: application to the Tyrrhenian, Ionian and Adriatic seas

Schaller

Scheinert

Barthelmes

et al. 2018

Geophysical Journal International

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A detailed and precise knowledge of ocean bottom topography is essential in many geoscientific and oceanographic applications. Shipborne echo sounding provides the only direct bathymetric method. However, even after decades of applying this technique only a fraction of the global ocean could be covered. Alternatively, gravity data inversion is a feasible method to infer ocean bottom topography since the gravity field correlates with topography at short to medium wavelengths. Gravity field observables are globally provided by dedicated satellite missions like GOCE, GRACE and GRACE-FO and, over the oceans, by satellite altimetry. Regional and local measurements are realised by means of ground-based, shipborne and airborne gravimetry. For the first time in Europe a jet aircraft was used for airborne gravimetry. During the GEOHALO flight campaign over Italy and the Tyrrhenian, Ionian and Adriatic seas in June 2012, the German research aircraft HALO carried an entire suite of geodetic-geophysical instrumentation, including gravity metres. The careful processing of the gravity data acquired by the CHEKAN-AM instrument of the German Research Centre for Geosciences allowed to achieve an accuracy at the mGal level. Subsequently, the Parker-Oldenburg inversion was applied to predict ocean bottom topography along the GEOHALO profiles flown over the ocean. To constrain the parameter space in the inversion we used the Crust1.0 model. Finally, the obtained results were compared to the General Bathymetric Chart of the Oceans in order to estimate the performance of the method. Our study demonstrates that airborne gravimetry aboard a jet aircraft is capable to provide valuable data for regional geoscientific studies.

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“…There are many regions in the world where airborne gravity surveys have been carried out [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. The Taiwan airborne gravimetry project was conducted over many hills and high mountains.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Downward Continuation Values of Airborne Gravity Data in Taiwan

Zhao

Forsberg

et al. 2018

Remote Sensing

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An airborne gravity survey was carried out to fill gaps in the gravity data for the mountainous areas of Taiwan. However, the downward continuation error of airborne gravity data is a major issue, especially in regions with complex terrain, such as Taiwan. The root mean square (RMS) of the difference between the downward continuation values and land gravity was approximately 20 mGal. To improve the results of downward continuation we investigated the inverse Poisson’s integral, the semi-parametric method combined with regularization (SPR) and the least-squares collocation (LSC) in this paper. The numerically simulated experiments are conducted in the Tibetan Plateau, which is also a mountainous area. The results show that as a valuable supplement to the inverse Poisson’s integral, the SPR is a useful approach to estimate systematic errors and to suppress random errors. While the LSC approach generates the best results in the Tibetan Plateau in terms of the RMS of the downward continuation errors. Thus, the LSC approach with a terrain correction (TC) is applied to the downward continuation of real airborne gravity data in Taiwan. The statistical results show that the RMS of the differences between the downward continuation values and land gravity data reduced to 11.7 mGal, which shows that an improvement of 40% is obtained.

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Testing Airborne Gravity Data in the Large-Scale Area of Italy and Adjacent Seas

Cited by 9 publications

References 8 publications

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

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

Inversion of GEOHALO aerogravimetry to infer ocean bottom topography: application to the Tyrrhenian, Ionian and Adriatic seas

Improvement of Downward Continuation Values of Airborne Gravity Data in Taiwan

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