Doing Fieldwork on the Seafloor: Photogrammetric Techniques to yield 3D Visual Models from ROV Video.

Kwasnitschka, Tom, Hansteen, Thor H. , Devey, Colin W. and Kutterolf, Steffen (2013) Doing Fieldwork on the Seafloor: Photogrammetric Techniques to yield 3D Visual Models from ROV Video. Open Access Computers & Geosciences, 52 . pp. 218-226. DOI 10.1016/j.cageo.2012.10.008.

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Supplementary data:


Remotely Operated Vehicles (ROVs) have proven to be highly effective in recovering well localized samples and observations from the seafloor. In the course of ROV deployments, however, huge amounts of video and photographic data are gathered which present tremendous potential for data mining. We present a new workflow based on industrial software to derive fundamental field geology information such as quantitative stratigraphy and tectonic structures from ROV-based photo and video material. We demonstrate proof of principle tests for this workflow on video data collected during dives with the ROV Kiel6000 on a new hot spot volcanic field that was recently identified southwest of the island of Santo Antão in the Cape Verdes. Our workflow allows us to derive three-dimensional models of outcrops facilitating quantitative measurements of joint orientation, bedding structure, grain size comparison and photo mosaicking within a georeferenced framework. The compiled data facilitate volcanological and tectonic interpretations from hand specimen to outcrop scales based on the quantified optical data. The demonstrated procedure is readily replicable and opens up possibilities for post-cruise “virtual fieldwork” on the seafloor.

Document Type: Article
Keywords: Physical Volcanology; Photogrammetry; Microbathymetry; Visualization; Grain Size Analysis; Underwater Navigation
Research affiliation: OceanRep > GEOMAR > FB4 Dynamics of the Ocean Floor > FB4-MUHS
Refereed: Yes
Open Access Journal?: No
DOI etc.: 10.1016/j.cageo.2012.10.008
ISSN: 0098-3004
Projects: Future Ocean, Jeddah Transect
Date Deposited: 05 Nov 2012 08:20
Last Modified: 11 Dec 2017 13:01

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