Articles | Volume 11, issue 5
https://doi.org/10.5194/se-11-1773-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-11-1773-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Sep 2020
Research article |
| 18 Sep 2020
| 18 Sep 2020
Mapping the fracture network in the Lilstock pavement, Bristol Channel, UK: manual versus automatic
Christopher Weismüller
CORRESPONDING AUTHOR
Neotectonics and Natural Hazards, RWTH Aachen University, Aachen,
Germany
Rahul Prabhakaran
Department of Geoscience and Engineering, Delft University of
Technology, Delft, the Netherlands
Department of Mechanical Engineering, Eindhoven University of
Technology, the Netherlands
Martijn Passchier
Structural Geology, Tectonics and Geomechanics, RWTH Aachen
University, Aachen, Germany
Janos L. Urai
Structural Geology, Tectonics and Geomechanics, RWTH Aachen
University, Aachen, Germany
Giovanni Bertotti
Department of Geoscience and Engineering, Delft University of
Technology, Delft, the Netherlands
Klaus Reicherter
Neotectonics and Natural Hazards, RWTH Aachen University, Aachen,
Germany
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Short summary
We photographed a fractured limestone pavement with a drone to compare manual and automatic fracture tracing and analyze the evolution and spatial variation of the fracture network in high resolution. We show that automated tools can produce results comparable to manual tracing in shorter time but do not yet allow the interpretation of fracture generations. This work pioneers the automatic fracture mapping of a complete outcrop in detail, and the results can be used as fracture benchmark.
We photographed a fractured limestone pavement with a drone to compare manual and automatic...
