Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Workflow: From photo-based 3-D reconstruction of remotely piloted aircraft images to a 3-D geological model
Stockholm University, Faculty of Science, Department of Geological Sciences. eden.ORCID iD: 0000-0002-2654-8686
Stockholm University, Faculty of Science, Department of Geological Sciences.
Number of Authors: 22019 (English)In: Geosphere, ISSN 1553-040X, E-ISSN 1553-040X, Vol. 15, no 4, p. 1393-1408Article in journal (Refereed) Published
Abstract [en]

Geological field mapping is a vital first step in understanding geological processes. During the 20th century, mapping was revolutionized through advances in remote sensing technology. With the recent availability of low-cost remotely piloted aircraft (RPA), field geologists now routinely carry out aerial imaging without the need to use satellite, helicopter, or airplane systems. RPA photographs are processed by photo-based three-dimensional (3-D) reconstruction software, which uses structure-from-motion and multi-view stereo algorithms to create an ultra-high-resolution, 3-D point cloud of a region or target outcrop. These point clouds are analyzed to extract the orientation of geological structures and strata, and are also used to create digital elevation models and photorealistic 3-D models. However, this technique has only recently been used for structural mapping. Here, we outline a workflow starting with RPA data acquisition, followed by photo-based 3-D reconstruction, and ending with a 3-D geological model. The Jabal Hafit anticline in the United Arab Emirates was selected to demonstrate this workflow. At this anticline, outcrop exposure is excellent and the terrain is challenging to navigate due to areas of high relief. This makes for an ideal RPA mapping site and provides a good indication of how practical this method may be for the field geologist. Results confirm that RPA photo-based 3-D reconstruction mapping is an accurate and cost-efficient remote sensing method for geological mapping.

Place, publisher, year, edition, pages
2019. Vol. 15, no 4, p. 1393-1408
National Category
Geology
Identifiers
URN: urn:nbn:se:su:diva-171683DOI: 10.1130/GES02031.1ISI: 000477962900016OAI: oai:DiVA.org:su-171683DiVA, id: diva2:1344486
Available from: 2019-08-21 Created: 2019-08-21 Last updated: 2019-12-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Hansman, Reuben J.Ring, Uwe
By organisation
Department of Geological Sciences
In the same journal
Geosphere
Geology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 3 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf