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J. Mar. Sci. Eng. 2018, 6(2), 42; https://doi.org/10.3390/jmse6020042

Photogrammetric Surveys and Geometric Processes to Analyse and Monitor Red Coral Colonies

1
Aix Marseille Université, CNRS, ENSAM, Université de Toulon, LIS UMR 7020, Domaine Universitaire de Saint-Jérome, Bâtiment Polytech, Avenue Escadrille Normandie Niemen, 13397 Marseille, France
2
Septentrion Environnement, 13007 Marseille, France
3
Institut de Ciencies del Mar-CSIC, 37-49, E-08003 Barcelona, Spain
4
CIIMAR/CIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, 4050-123 Porto, Portugal
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 1 February 2018 / Revised: 28 February 2018 / Accepted: 26 March 2018 / Published: 12 April 2018
(This article belongs to the Special Issue Underwater Imaging)
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Abstract

This article describes the set of photogrammetric tools developed for the monitoring of Mediterranean red coral Corallium rubrum populations. The description encompasses the full processing chain: from the image acquisition to the information extraction and data interpretation. The methods applied take advantage of existing tools and new, innovative and specific developments in order to acquire data on relevant ecological information concerning the structure and functioning of a red coral population. The tools presented here are based on: (i) automatic orientation using coded quadrats; (ii) use of non-photorealistic rendering (NPR) and 3D skeletonization techniques; (iii) computation of distances between colonies from a same site; and (iv) the use of a plenoptic approach in an underwater environment. View Full-Text
Keywords: underwater photogrammetry; plenoptic; red coral; skeleton; NPR; orthophoto; coded targets; climate change; conservation biology underwater photogrammetry; plenoptic; red coral; skeleton; NPR; orthophoto; coded targets; climate change; conservation biology
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Royer, J.-P.; Nawaf, M.M.; Merad, D.; Saccone, M.; Bianchimani, O.; Garrabou, J.; Ledoux, J.-B.; Lopez-Sanz, A.; Drap, P. Photogrammetric Surveys and Geometric Processes to Analyse and Monitor Red Coral Colonies. J. Mar. Sci. Eng. 2018, 6, 42.

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