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Retrieval of nearshore bathymetry from Landsat 8 images: a tool for coastal monitoring in shallow waters

dc.contributor.authorPacheco, André
dc.contributor.authorHorta, João
dc.contributor.authorLoureiro, Carlos
dc.contributor.authorFerreira, Oscar
dc.date.accessioned2019-01-30T12:28:19Z
dc.date.available2019-01-30T12:28:19Z
dc.date.issued2015
dc.description.abstractNearshore bathymetry is likely to be the coastal variable that most limits the investigation of coastal processes and the accuracy of numerical models in coastal areas, as acquiring medium spatial resolution data in the nearshore is highly demanding and costly. As such, the ability to derive bathymetry using remote sensing techniques is a topic of increasing interest in coastalmonitoring and research. This contribution focuses on the application of the linear transform algorithm to obtain satellite-derived bathymetry (SDB) maps of the nearshore, at medium resolution (30 m), from freely available and easily accessible Landsat 8 imagery. The algorithm was tuned with available bathymetric Light Detection and Ranging (LiDAR) data for a 60-km-long nearshore stretch of a highly complex coastal system that includes barrier islands, exposed sandy beaches, and tidal inlets (Ria Formosa, Portugal). A comparison of the retrieved depths is presented, enabling the configuration of nearshore profiles and extracted isobaths to be explored and compared with traditional topographic/bathymetric techniques (e.g., high- and medium-resolution LiDAR data and survey-grade echo-sounding combined with high-precision positioning systems). The results demonstrate that the linear algorithm is efficient for retrieving bathymetry frommulti-spectral satellite data for shallowwater depths (0 to 12 m), showing amean bias of−0.2m, a median difference of −0.1 m, and a root mean square error of 0.89 m. Accuracy is shown to be depth dependent, an inherent limitation of passive optical detection systems. Accuracy further decreases in areas where turbidity is likely to be higher, such as locations adjacent to tidal inlets. The SDB maps provide reliable estimations of the shoreline position and of nearshore isobaths for different cases along the complex coastline analysed. The use of freely available satellite imagery proved to be a quick and reliable method for acquiring updated mediumresolution, high-frequency (days and weeks), low-cost bathymetric information for large areas and depths of up to 12 m in clear waters without wave breaking, allowing almost constant monitoring of the submerged beach and the shoreface.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.rse.2014.12.004pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.1/12311
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationResearch Rush
dc.relationRUSH - From runup to overwash
dc.relationErosion of Rocky Shores - differences in protection promoted by sandy beaches and shore platforms - EROS
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSatellite-derived bathymetrypt_PT
dc.subjectRia Formosapt_PT
dc.subjectLandsatpt_PT
dc.subjectLiDARpt_PT
dc.subjectLinear transform algorithmpt_PT
dc.subjectCoastal monitoringpt_PT
dc.titleRetrieval of nearshore bathymetry from Landsat 8 images: a tool for coastal monitoring in shallow waterspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Rush
oaire.awardTitleRUSH - From runup to overwash
oaire.awardTitleErosion of Rocky Shores - differences in protection promoted by sandy beaches and shore platforms - EROS
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F76110%2F2011/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F85335%2F2012/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/265811/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCTE-GIX%2F116814%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCTE-GIX%2F111230%2F2009/PT
oaire.citation.endPage116pt_PT
oaire.citation.startPage102pt_PT
oaire.citation.titleRemote Sensing of Environmentpt_PT
oaire.citation.volume159pt_PT
oaire.fundingStreamSFRH
oaire.fundingStreamSFRH
oaire.fundingStreamFP7
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
person.familyNamePacheco
person.familyNameHorta
person.familyNameLoureiro
person.familyNameFerreira
person.givenNameAndré
person.givenNameJoão
person.givenNameCarlos
person.givenNameÓscar
person.identifier453264
person.identifier.ciencia-id8014-35C4-8806
person.identifier.ciencia-id011D-31BD-C6B6
person.identifier.ciencia-id1F1C-DF44-94C9
person.identifier.orcid0000-0002-8340-0629
person.identifier.orcid0000-0003-3663-9036
person.identifier.orcid0000-0003-3117-3492
person.identifier.orcid0000-0001-9975-0036
person.identifier.ridU-9863-2018
person.identifier.scopus-author-id55432603300
person.identifier.scopus-author-id55851149800
person.identifier.scopus-author-id23667861200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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