| Title | A log-barrier approach for airborne gamma-ray spectrometry inversion |
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| Author | Weihermann, J D; Oliveira, S P; Li, Y; Fonseca Ferreira, F J; Silva, A M; Fortin, R |
| Source | Computers and Geosciences vol. 147, 104682, 2020 p. 1-15, https://doi.org/10.1016/j.cageo.2020.104682 |
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| Year | 2020 |
| Alt Series | Natural Resources Canada, Contribution Series 20200659 |
| Publisher | Elsevier Ltd. |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Subjects | geophysics; Science and Technology; mathematical and computational geology; gamma-ray spectrometers; Data processing |
| Illustrations | photographs; diagrams; tables; charts |
| Released | 2020 12 29 |
| Abstract | The standard processing of airborne gamma-ray spectrometry (AGRS) data provides useful preliminary information to interpretation in several contexts, such as environmental studies, geological mapping,
and analysis of mineral deposits. For optimal results, the acquisition conditions should be nearly constant, and the flight height should be uniform. However, abrupt changes in flight height (often originated from mountainous terrain) are common and
lead to spurious variations and incorrect anomaly interpretation. Moreover, the commonly used corrections applied to radiometric data do not consider the effective sampling area of a survey, especially the overlap between successive fields of view.
As a consequence, the concentrations estimates of potassium (K), uranium (eU), and thorium (eTh) are not sharp. A solution to deal with this problem is to compute the concentration from the AGRS data through an inversion algorithm. Inversion of AGRS
data has shown to be an effective approach to suppress the significant overlap between successive fields of view. We introduce a logarithmic barrier approach for the radiometric inversion to avoid spurious negative values in the radioelement
concentration models. We choose calibration ranges from Brazil and Canada to test the proposed methodology. We produced concentration models for K, eU and eTh and compared the standard approach model with the recovered model from both ranges. The
predicted data from inversion of both calibration ranges are mostly consistent with the survey data, not over smoothing the data or fitting noise. The predicted data from inversion showed more consistency with the observed data than the one predicted
from the standard procedure. |
| GEOSCAN ID | 327932 |
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