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Solid Earth An interactive open-access journal of the European Geosciences Union

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Solid Earth, 8, 1241-1253, 2017
https://doi.org/10.5194/se-8-1241-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Method article
21 Dec 2017
Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data
Samuel T. Thiele et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Comment on manuscript se-2017-83', Andrea Bistacchi, 01 Oct 2017 Printer-friendly Version 
 
RC2: 'Review of Thiele et al.', Thomas Scheiber, 20 Oct 2017 Printer-friendly Version 
 
AC1: 'Authors response', Samuel Thiele, 03 Nov 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Samuel Thiele on behalf of the Authors (14 Nov 2017)  Author's response  Manuscript
ED: Publish as is (16 Nov 2017) by Gwenn Peron-Pinvidic
ED: Publish as is (16 Nov 2017) by Fabrizio Storti (Executive Editor)  
CC BY 4.0
Publications Copernicus
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Short summary
We demonstrate a new method that enhances our ability to interpret large datasets commonly used in the earth sciences, including point clouds and rasters. Implemented as plugins for CloudCompare and QGIS, we use a least-cost-path solver to track structures and contacts through data, allowing for expert-guided interpretation in a way that seamlessly utilises computing power to optimise the interpretation process and improve objectivity and consistency.
We demonstrate a new method that enhances our ability to interpret large datasets commonly used...
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