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Article

A New Beach Topography-Based Method for Shoreline Identification

1
Department of Earth Sciences, University of Study of Florence, Via La Pira 4, 50121 Florence, Italy
2
Department of Earth Sciences, University of Pisa, Via S. Maria, 52, 56126 Pisa, Italy
3
Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche, IFC—CNR, 56124 Pisa (PI), Italy
4
Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche, ISMAR—CNR, 19032 Lerici (SP), Italy
*
Author to whom correspondence should be addressed.
Water 2020, 12(11), 3110; https://doi.org/10.3390/w12113110
Received: 8 October 2020 / Revised: 30 October 2020 / Accepted: 3 November 2020 / Published: 5 November 2020
(This article belongs to the Special Issue Climate Change and Anthropogenic Impact on Coastal Environments)
The definition of shoreline is not the same for all contexts, and it is often a subjective matter. Various methods exist that are based on the use of different instruments that can determine and highlight a shoreline. In recent years, numerous studies have employed photogrammetric methods, based on different colours, to map the boundary between water and land. These works use images acquired by satellites, drones, or cameras, and differ mainly in terms of resolution. Such methods can identify a shoreline by means of automatic, semi-automatic, or manual procedures. The aim of this work is to find and promote a new and valid beach topography-based algorithm, able to identify the shoreline. We apply the Structure from Motion (SfM) techniques to reconstruct a high-resolution Digital Elevation Model by means of a drone for image acquisition. The algorithm is based on the variation of the topographic beach profile caused by the transition from water to sand. The SfM technique is not efficient when applied to reflecting surfaces like sea water resulting in a very irregular and unnatural profile over the sea. Taking advantage of this fact, the algorithm searches for the point in the space where a beach profile changes from irregular to regular, causing a transition from water to land. The algorithm is promoted by the release of a QGIS v3.x plugin, which allows the easy application and extraction of other shorelines. View Full-Text
Keywords: shoreline; beach; UAV; GPS; Structure from Motion; QGIS plugin; topography shoreline; beach; UAV; GPS; Structure from Motion; QGIS plugin; topography
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MDPI and ACS Style

Luppichini, M.; Bini, M.; Paterni, M.; Berton, A.; Merlino, S. A New Beach Topography-Based Method for Shoreline Identification. Water 2020, 12, 3110. https://doi.org/10.3390/w12113110

AMA Style

Luppichini M, Bini M, Paterni M, Berton A, Merlino S. A New Beach Topography-Based Method for Shoreline Identification. Water. 2020; 12(11):3110. https://doi.org/10.3390/w12113110

Chicago/Turabian Style

Luppichini, Marco; Bini, Monica; Paterni, Marco; Berton, Andrea; Merlino, Silvia. 2020. "A New Beach Topography-Based Method for Shoreline Identification" Water 12, no. 11: 3110. https://doi.org/10.3390/w12113110

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