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

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

doi:https://doi.org/10.5194/se-8-1241-2017

Articles | Volume 8, issue 6

https://doi.org/10.5194/se-8-1241-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/se-8-1241-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

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Final revised paper (published on 21 Dec 2017)
Preprint (discussion started on 15 Aug 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Comment on manuscript se-2017-83', Andrea Bistacchi, 01 Oct 2017
RC2: 'Review of Thiele et al.', Thomas Scheiber, 20 Oct 2017
AC1: 'Authors response', Samuel Thiele, 03 Nov 2017

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.