Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107123
DC FieldValueLanguage
dc.contributor.authorAndriolo, Umberto-
dc.date.accessioned2023-06-09T09:32:21Z-
dc.date.available2023-06-09T09:32:21Z-
dc.date.issued2019-
dc.identifier.issn2077-1312pt
dc.identifier.urihttps://hdl.handle.net/10316/107123-
dc.description.abstractWithin the nearshore area, three wave transformation domains can be distinguished based on the wave properties: shoaling, surf, and swash zones. The identification of these distinct areas is relevant for understanding nearshore wave propagation properties and physical processes, as these zones can be related, for instance, to di erent types of sediment transport. This work presents a technique to automatically retrieve the nearshore wave transformation domains from images taken by coastal video monitoring stations. The technique exploits the pixel intensity variation of image acquisitions, and relates the pixel properties to the distinct wave characteristics. This allows the automated description of spatial and temporal extent of shoaling, surf, and swash zones. The methodology was proven to be robust, and capable of spotting the three distinct zones within the nearshore, both cross-shore and along-shore dimensions. The method can support a wide range of coastal studies, such as nearshore hydrodynamics and sediment transport. It can also allow a faster and improved application of existing video-based techniques for wave breaking height and depth-inversion, among others.pt
dc.language.isoengpt
dc.publisherMDPIpt
dc.relationFCT - UAS4LITTER (PTDC/EAM-REM/30324/2017)pt
dc.relationSFRH/BD/52558/2014pt
dc.relationFCT - To-SEAlert (PTDC/EAM-OCE/31207/2017)pt
dc.relationFCT - BSAFE4SEA (PTDC/ECI-EGC/31090/2017)pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjecthydrodynamicspt
dc.subjectbeachpt
dc.subjectcoastpt
dc.subjectremote sensingpt
dc.subjectshoalingpt
dc.subjectsurf zonept
dc.subjectswash zonept
dc.subjectwave runuppt
dc.subjectshorelinept
dc.subjectbathymetrypt
dc.titleNearshore Wave Transformation Domains from Video Imagerypt
dc.typearticle-
degois.publication.firstPage186pt
degois.publication.issue6pt
degois.publication.titleJournal of Marine Science and Engineeringpt
dc.peerreviewedyespt
dc.identifier.doi10.3390/jmse7060186pt
degois.publication.volume7pt
dc.date.embargo2019-01-01*
uc.date.periodoEmbargo0pt
item.openairetypearticle-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.orcid0000-0002-0185-7802-
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais
Show simple item record

SCOPUSTM   
Citations

17
checked on Jul 1, 2024

WEB OF SCIENCETM
Citations

16
checked on Jul 2, 2024

Page view(s)

49
checked on Jul 16, 2024

Download(s)

14
checked on Jul 16, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons