Repositorio Institucional Digital del IEO
author
Prado, E. (Elena)
author
Rodríguez, A. (Augusto)
author
Cobo, Adolfo
author
Ríos, P. (Pilar)
author
Sánchez, F. (Francisco)
2021-09-29T10:25:23Z
2021-09-29T10:25:23Z
2020
2072-4292
http://hdl.handle.net/10508/12088
Remote Sensing, 12, 2466. 2020: 1-28
10.3390/rs12152466
The relationship between 3D terrain complexity and fine-scale localization and distribution of species is poorly understood. Here we present a very fine-scale 3D reconstruction model of three zones of circalittoral rocky shelf in the Bay of Biscay. Detailed terrain variables are extracted from 3D models using a structure-from-motion (SfM) approach applied to ROTV images. Significant terrain variables that explain species location were selected using general additive models (GAMs) and micro-distribution of the species were predicted. Two models combining BPI, curvature and rugosity can explain 55% and 77% of the Ophiuroidea and Crinoidea distribution, respectively. The third model contributes to explaining the terrain variables that induce the localization of Dendrophyllia cornigera. GAM univariate models detect the terrain variables for each structural species in this third zone (Artemisina transiens, D. cornigera and Phakellia ventilabrum). To avoid the time-consuming task of manual annotation of presence, a deep-learning algorithm (YOLO v4) is proposed. This approach achieves very high reliability and low uncertainty in automatic object detection, identification and location. These new advances applied to underwater imagery (SfM and deep-learning) can resolve the very-high resolution information needed for predictive microhabitat modeling in a very complex zone.
eng
Atribución-NoComercial-SinDerivadas 3.0 España
circalittoral rocky shelf
underwater 3D photogrammetry
structure-from-motion
Avilés Canyon System
benthic habitat modeling
deep-learning
YOLO
annotation of underwater images
3D Fine-scale Terrain Variables from Underwater Photogrammetry: A New Approach to Benthic Microhabitat Modeling in a Circalittoral Rocky Shelf
article
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URL
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34_2020_Prado_etal_3DMicrohabitatModeling.pdf.txt