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Performance of intertidal topography video monitoring of a meso-tidal reflective beach in South Portugal

2011Journal article Restricted access
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dc.contributor.authorVousdoukas, Michalis
dc.contributor.authorFerreira, P. M.
dc.contributor.authorAlmeida, Luis Pedro
dc.contributor.authorDodet, Guillaume
dc.contributor.authorPsaros, Fotis
dc.contributor.authorAndriolo, Umberto
dc.contributor.authorTaborda, Rui
dc.contributor.authorSilva, Ana Nobre
dc.contributor.authorRuano, Antonio
dc.contributor.authorFerreira, Óscar
dc.date.accessioned2013-01-31T12:14:44Z
dc.date.available2013-01-31T12:14:44Z
dc.date.issued2011
dc.date.updated2013-01-26T16:38:09Z
dc.description.abstractThis study discusses site-specific system optimization efforts related to the capability of a coastal video station to monitor intertidal topography. The system consists of two video cameras connected to a PC, and is operating at the meso-tidal, reflective Faro Beach (Algarve coast, S. Portugal). Measurements from the period February 4, 2009 to May 30, 2010 are discussed in this study. Shoreline detection was based on the processing of variance images, considering pixel intensity thresholds for feature extraction, provided by a specially trained artificial neural network (ANN). The obtained shoreline data return rate was 83%, with an average horizontal cross-shore root mean square error (RMSE) of 1.06 m. Several empirical parameterizations and ANN models were tested to estimate the elevations of shoreline contours, using wave and tidal data. Using a manually validated shoreline set, the lowest RMSE (0.18 m) for the vertical elevation was obtained using an ANN while empirical parameterizations based on the tidal elevation and wave run-up height resulted in an RMSE of 0.26 m. These errors were reduced to 0.22 m after applying 3-D data filtering and interpolation of the topographic information generated for each tidal cycle. Average beach-face slope tan(β) RMSE were around 0.02. Tests for a 5-month period of fully automated operation applying the ANN model resulted in an optimal, average, vertical elevation RMSE of 0.22 m, obtained using a one tidal cycle time window and a time-varying beach-face slope. The findings indicate that the use of an ANN in such systems has considerable potential, especially for sites where long-term field data allow efficient training.por
dc.identifier.citationVousdoukas, Michalis Ioannis; Ferreira, Pedro Manuel; Almeida, Luis Pedro; Dodet, Guillaume; Psaros, Fotis; Andriolo, Umberto; Taborda, Rui; Silva, Ana Nobre; Ruano, Antonio; Ferreira, Óscar Manuel. Performance of intertidal topography video monitoring of a meso-tidal reflective beach in South Portugal, Ocean Dynamics, 61, 10, 1521-1540, 2011.por
dc.identifier.doihttp://dx.doi.org/10.1007/s10236-011-0440-5
dc.identifier.issn1616-7341
dc.identifier.otherAU: ARU00698; OFE00989;
dc.identifier.urihttp://hdl.handle.net/10400.1/2167
dc.language.isoengpor
dc.peerreviewedyespor
dc.relationMorphological Impacts and COastal Risks induced by Extreme storm events
dc.subjectVideo monitoringpor
dc.subjectCoastal morphodynamicspor
dc.subjectArtificial neural networkspor
dc.subjectCoastal erosionpor
dc.subjectNearshorepor
dc.subjectRemote sensingpor
dc.titlePerformance of intertidal topography video monitoring of a meso-tidal reflective beach in South Portugalpor
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMorphological Impacts and COastal Risks induced by Extreme storm events
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/202798/EU
oaire.citation.endPage1540por
oaire.citation.issue10por
oaire.citation.startPage1521por
oaire.citation.titleOcean Dynamicspor
oaire.citation.volume61por
oaire.fundingStreamFP7
person.familyNameVousdoukas
person.familyNameAlmeida
person.familyNameRuano
person.familyNameFerreira
person.givenNameMichalis
person.givenNameLuis Pedro
person.givenNameAntonio
person.givenNameÓscar
person.identifier.ciencia-id2917-AE9E-33C1
person.identifier.ciencia-id1F1C-DF44-94C9
person.identifier.orcid0000-0003-2655-6181
person.identifier.orcid0000-0001-7805-9086
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0001-9975-0036
person.identifier.ridC-6743-2012
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id16044078400
person.identifier.scopus-author-id37016980900
person.identifier.scopus-author-id7004284159
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication4fe055d6-2d01-4db9-a358-08c1310d7abe
relation.isAuthorOfPublication23840479-a3eb-4c74-87ee-dd3eb0890dbc
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication14adf536-4f81-42de-b00f-6d1cf3b0d75e
relation.isAuthorOfPublication.latestForDiscovery4fe055d6-2d01-4db9-a358-08c1310d7abe
relation.isProjectOfPublication56278dca-1378-4880-a473-3927fbf9f956
relation.isProjectOfPublication.latestForDiscovery56278dca-1378-4880-a473-3927fbf9f956

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