2022
DOI: 10.3389/fmars.2022.903138
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3D-Reconstruction of a Giant Posidonia oceanica Beach Wrack (Banquette): Sizing Biomass, Carbon and Nutrient Stocks by Combining Field Data With High-Resolution UAV Photogrammetry

Abstract: Beach wracks are temporary accumulations of vegetal detritus that can be found along coastlines all over the world. Although beach wracks are often perceived as a nuisance for beach users, they play a crucial ecological role in carbon and nutrient connectivity across ecosystem boundaries, especially when they reach a relevant size, as in the case of the wedge-shaped seagrass accumulations called banquette. In this study, three-dimensional mapping of a giant Posidonia oceanica banquette was carried out for the … Show more

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Cited by 4 publications
(2 citation statements)
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“…The deposition and erosion dynamics of banquettes and their composition has been widely investigated by several studies along Mediterranean sandy beaches [24,25,27,[35][36][37][38][39], etc. In the last twenty years, the development of coastal video monitoring technologies has improved the knowledge of beach morphodynamics, including banquette dynamics [28,40].…”
Section: Geographical Settings Wave Climate and Hydrodynamics Of The ...mentioning
confidence: 99%
“…The deposition and erosion dynamics of banquettes and their composition has been widely investigated by several studies along Mediterranean sandy beaches [24,25,27,[35][36][37][38][39], etc. In the last twenty years, the development of coastal video monitoring technologies has improved the knowledge of beach morphodynamics, including banquette dynamics [28,40].…”
Section: Geographical Settings Wave Climate and Hydrodynamics Of The ...mentioning
confidence: 99%
“…In the field of remote sensing, digital surface models (DSMs) have shown their utility in complex terrain mapping and analysis, specifically in the context of BW identification and monitoring. For example, Tomasello et al [24] examined the utility of UAVs for both the volume estimation and segmentation of BW through machine learning techniques, and endorsed this approach for future monitoring initiatives. Moreover, this height information can be integrated with multispectral imagery captured by UAVs to increase the feature set for the CNN models, thereby enhancing segmentation accuracy for BW mapping.…”
Section: Introductionmentioning
confidence: 99%