Integration of close‐range underwater photogrammetry with inspection and mesh processing software: a novel approach for quantifying ecological dynamics of temperate biogenic reefs. Issue 2 (7th October 2020)

• Record Type: Journal Article
• Authors: Ventura, Daniele; Dubois, Stanislas F.; Bonifazi, Andrea; Jona Lasinio, Giovanna; Seminara, Marco; Gravina, Maria F.; Ardizzone, Giandomenico
• Editors: Scales, Kylie; Rowlands, Gwilym
• Is Part Of: Remote sensing in ecology and conservation. Volume 7:Issue 2(2021)
• Page Start: 169
• Page End: 186
• Publication Date: 2020-10-07
• Subjects: 3D modelling -- biogenic temperate reefs -- computer vision -- mesh analysis -- surface rugosity evaluation -- volumetric estimates; Remote sensing -- Periodicals; Ecology -- Research -- Periodicals; Ecology -- Methodology -- Periodicals; Ecology -- Remote sensing -- Periodicals; Nature conservation -- Methodology -- Periodicals; 577.0723
• DOI: 10.1002/rse2.178
• Languages: English
• ISSNs: 2056-3485

Abstract

Abstract: Characterizing and monitoring changes in biogenic 3‐dimensional (3D) structures at multiple scales over time is challenging within the practical constraints of conventional ecological tools. Therefore, we developed a structure‐from‐motion (SfM)‐based photogrammetry method, coupled with inspection and mesh processing software, to estimate important ecological parameters of underwater worm colonies (hummocks) constructed by the sabellariid polychaete Sabellaria alveolata, using non‐destructive, 3D modeling and mesh analysis. High resolution digital images of bioconstructions (hummocks) were taken in situ under natural conditions to generate digital 3D models over different sampling periods to analyse the morphological evolution of four targeted hummocks. 3D models were analysed in GOM Inspect software, a powerful and freely available mesh processing software to follow growth as well as morphology changes over time of each hummock. Linear regressions showed 3D models only slightly overestimated the real dimensions of the reference objects with an average error < 5% between measured and model‐estimated dimensions for both length and volume. Manual inspection of models and semi‐automated surface‐to‐surface comparison allowed the computation of important metrics linked to the ecology of temperate reefs such as volume, surface area, surface complexity/rugosity, number and size of holes and creeks and the mean density of living worms per colony. Moreover we demonstrated the reliability of 3D surface complexity estimates against two linear rugosity measures: a traditional and a virtual variant of the 'chain‐and‐tape' method. Finally, besides 3D models deviation analysis via surface comparison, a Bayesian latent variable model approach was adopted to highlight the significative effects of sea state conditions on S. alveolata hummocks metrics. We demonstrated without damaging the benthic organisms that SfM approach allow continuous study of temperate bioconstruction leading to a fine description of short‐term structural modification mediated by hydrodynamics, making this technique accessible and repeatable to many other areas of ecological research. Abstract : A novel approach for quantifying ecological dynamics, such as morphological evolution of temperate biogenic reefs, was applied by using underwater Structure from Motion (SfM) photogrammetry. We developed a unique workflow designed to compute reef metrics derived from the integration of 3‐dimensional models with inspection and mesh processing software. This method has been applied on wild Mediterranean species for the first time, and may provide a methodological platform for future studies, serving as a proof of concept aimed at implementing this relatively fast, flexible, low‐cost and non‐intrusive sampling method for short and long‐term monitoring of benthic organisms.