EGU2020-2439
https://doi.org/10.5194/egusphere-egu2020-2439
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

FABER, R., DOMEJ, G., 2020. Computer-Assisted Geological Mapping (CAGEM) in 3D with WinGeol by TerraMath: the Richât Structure in Mauritania.

Robert Faber and Gisela Domej
Robert Faber and Gisela Domej
  • TerraMath, Kaliasem, Indonesia (robert.faber@terramath.com)

Theoretically, analysis of digital elevation data and remote sensing images allows for convenient mapping of geological settings. Using computer tools, geometric plane elements can be joined with elevation and image data to map structures in 3D. 
One disadvantage is that single geometric elements are processed consecutively, even if belonging to the same structure. Only in rare cases, it is possible to trace a geological structure in its entirety without gaps; moreover, various uncertainties during the mapping process (caused, e.g., by erosion or vegetation coverage) may let elements appear isolated or distorted. Therefore, creating an entirely consistent numerical model of a particular geological setting is highly time-consuming, usually cost-intensive, and – to some extent – error-prone.
We extended the existing 3D geological mapping tool FaultTrace (a module of TerraMath WinGeol) to allow for simultaneous processing of larger and more significant structural segments of faults and bedding planes. Geometric elements can influence each other now and the usage of optional time tables associated with the mapped structures helps to analyze more complex settings.  
The workflow is demonstrated using the example of the Richât Structure in the Sahara Desert of Mauritania.

How to cite: Faber, R. and Domej, G.: FABER, R., DOMEJ, G., 2020. Computer-Assisted Geological Mapping (CAGEM) in 3D with WinGeol by TerraMath: the Richât Structure in Mauritania., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2439, https://doi.org/10.5194/egusphere-egu2020-2439, 2020

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