Klaus Motschka

Mr. Klaus Motschka


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 June 2012 in Hydrogeology Journal
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Journal Article
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BGBibi R. N. Gondwe
Bibi R. N. Gondwe
DODavid Ottowitz
David Ottowitz
RSRobert Supper
Robert Supper
KMKlaus Motschka
Klaus Motschka
GMGonzalo Merediz-Alonso
Gonzalo Merediz-Alonso
PBPeter Bauer-Gottwein
Peter Bauer-Gottwein

25 November 2022 in Geosciences
Verified
Journal Article
Open access
PDF file
ISIngrid Schattauer
Ingrid Schattauer
EHEsther Hintersberger
Esther Hintersberger
CUChristian Ullrich
Christian Ullrich
RSRobert Supper
Robert Supper
KMKlaus Motschka
Klaus Motschka
The reuse of vintage datasets which were acquired in the 20th century can pose challenges for modern geophysical modeling due to missing detailed preprocessing information, significant uncertainties, or lack of precise tracking, etc. Nevertheless, they are often the only available datasets in a target region. We explore here the potential of such vintage airborne geophysical datasets (magnetics, AEM, radiometrics) to detect the location and dip direction of geological faults, using a non-modeling interpretation approach based on multiple GIS tools. We apply our approach in a geologically well-known region where four different types of faults are mapped. The applicability of the tools used in this study depend on the geological setting of each fault and is evaluated based on the comparison with geological and—where available—with modeling data. In general, the GIS tools, especially used on a combination of datasets, show reliable results concerning the location and strike of faults, and even seem to be able to predict the dip direction of a fault.