Articles | Volume 8, issue 6
Method article
21 Dec 2017
Method article |  | 21 Dec 2017

Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data

Samuel T. Thiele, Lachlan Grose, Anindita Samsu, Steven Micklethwaite, Stefan A. Vollgger, and Alexander R. Cruden


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sam 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)
AR by Sam Thiele on behalf of the Authors (17 Nov 2017)
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.