2018
DOI: 10.1016/j.jafrearsci.2017.11.033
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Aeromagnetic mapping of basement structures and mineralisation characterisation of Ilesa Schist Belt, Southwestern Nigeria

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Cited by 40 publications
(14 citation statements)
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“…short-wavelength anomalies in the data, the resulting regional magnetic field of the study area emphasizes the deep-seated, long-wavelength magnetic anomalies. Residualization, as the name implies, is the estimation of expected residual magnetic fields by removing the estimated regional field values over an area or profile from the observed total magnetic field values [22]. The residualization of the TMI data in this study assists in accentuating the shallower magnetic effects at the expense of deeper magnetic sources, which is of prime interest in mineral exploration.…”
Section: Methodsmentioning
confidence: 99%
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“…short-wavelength anomalies in the data, the resulting regional magnetic field of the study area emphasizes the deep-seated, long-wavelength magnetic anomalies. Residualization, as the name implies, is the estimation of expected residual magnetic fields by removing the estimated regional field values over an area or profile from the observed total magnetic field values [22]. The residualization of the TMI data in this study assists in accentuating the shallower magnetic effects at the expense of deeper magnetic sources, which is of prime interest in mineral exploration.…”
Section: Methodsmentioning
confidence: 99%
“…NaI "Tl" crystal size of 2″ × 2″ was used for the airborne gamma-ray spectrometry survey [59] In order to achieve seamless data and minimize aliased artefacts in the data [60], the TMI data was gridded with grid mesh size of 50 m × 50 m by adopting minimum curvature gridding method [61,62]. The aeromagnetic data was upward continued to a plane height of 200 m in order to remove high-frequency anomalies (which are usually cultural) that stem from sources on or near the ground surface over the study area and amplify the deep-seated geologic structures prior further processing [22]. Due to the proximity of the study area to the equator (i.e.…”
Section: Methodsmentioning
confidence: 99%
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