2013
DOI: 10.1190/tle32080908.1
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Performance of airborne gravity gradiometers

Abstract: Airborne gravity gradiometry (AGG) is becoming a widely accepted tool in exploration. It provides rapid acquisition of accurate gravity data at high spatial resolution with complete coverage over large areas. The data are of significant value to explorers for a wide range of commodities throughout the world. With the advent of airborne gravity gradiometer technology, it is now possible to collect high-resolution gravity with all the attendant advantages.

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Cited by 77 publications
(35 citation statements)
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“…Because AGG data are the derivatives of the gravity field, AGG anomalies better reflect shallower density contrasts than do gravity anomalies, as they emphasize shorter wavelength components of the field that are typically related to shallow sources. The AGG data are processed to remove types of noise inherent to gradiometer systems and measurements, as well as noise common to all types of airborne geophysical data (Dransfield and Christensen, 2013).…”
Section: Airborne Gravity Gradient and Gravity Datamentioning
confidence: 99%
“…Because AGG data are the derivatives of the gravity field, AGG anomalies better reflect shallower density contrasts than do gravity anomalies, as they emphasize shorter wavelength components of the field that are typically related to shallow sources. The AGG data are processed to remove types of noise inherent to gradiometer systems and measurements, as well as noise common to all types of airborne geophysical data (Dransfield and Christensen, 2013).…”
Section: Airborne Gravity Gradient and Gravity Datamentioning
confidence: 99%
“…Because AGG data are the derivatives of the gravity field, AGG anomalies reflect shallower density contrasts than do gravity anomalies. The AGG data were processed to remove types of noise inherent to gradiometer systems and measurements, as well as noise common to all types of airborne geophysical data (see Dransfield and Christensen, 2013, and references therein). Free air vertical gradient data are shown in Fig.…”
Section: Airborne Gravity Gradient Datamentioning
confidence: 99%
“…Finally, to compare the calculated data with the measured data, the measured data can be filtered with the same Gaussian low-pass filter. In practice, the measured GGT data are already low-pass filtered along the flight lines so that the smallest wavelength is approximately equal to the distance between the flight lines (Dransfield and Christensen, 2013) corresponding to a random noise between 3 and 6 E, (Eötvös) depending on the system used. Thus, a reasonable goal is that the calculated terrain corrections be accurate within those limits.…”
Section: Introductionmentioning
confidence: 99%