Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29142
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dc.contributor.authorPacheco, Andréen_UK
dc.contributor.authorHorta, Joãoen_UK
dc.contributor.authorLoureiro, Carlosen_UK
dc.contributor.authorFerreira, Óscaren_UK
dc.date.accessioned2019-03-30T01:00:10Z-
dc.date.available2019-03-30T01:00:10Z-
dc.date.issued2015-03-15en_UK
dc.identifier.urihttp://hdl.handle.net/1893/29142-
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 near- shore is highly demanding and costly. As such, the ability to derive bathymetry using remote sensing techniques is a topic of increasing interest in coastal monitoring 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 from multi-spectral satellite data for shallow water depths (0 to 12 m), showing a mean bias of − 0.2 m, 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 medium- resolution, 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.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationPacheco A, Horta J, Loureiro C & Ferreira Ó (2015) Retrieval of nearshore bathymetry from Landsat 8 images: A tool for coastal monitoring in shallow waters. Remote Sensing of Environment, 159, pp. 102-116. https://doi.org/10.1016/j.rse.2014.12.004en_UK
dc.rights[Pacheco_etal_2015_PublishedVersion.pdf] The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights[Pacheco_etal_2015_AcceptedManuscript.pdf] Accepted refereed manuscript of: Pacheco A, Horta J, Loureiro C & Ferreira Ó (2015) Retrieval of nearshore bathymetry from Landsat 8 images: A tool for coastal monitoring in shallow waters. Remote Sensing of Environment, 159, pp. 102-116. DOI: https://doi.org/10.1016/j.rse.2014.12.004 © 2014, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectsatellite-derived bathymetryen_UK
dc.subjectLandsaten_UK
dc.subjectLiDARen_UK
dc.subjectlinear transform algorithmen_UK
dc.subjectcoastal monitoringen_UK
dc.subjectRia Formosaen_UK
dc.titleRetrieval of nearshore bathymetry from Landsat 8 images: A tool for coastal monitoring in shallow watersen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[Pacheco_etal_2015_PublishedVersion.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1016/j.rse.2014.12.004en_UK
dc.citation.jtitleRemote Sensing of Environmenten_UK
dc.citation.issn0034-4257en_UK
dc.citation.volume159en_UK
dc.citation.spage102en_UK
dc.citation.epage116en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderPortuguese Foundation for Science and Technologyen_UK
dc.contributor.funderEROS (Erosion of Rocky Shores)en_UK
dc.contributor.funderPortuguese Foundation for Science and Technologyen_UK
dc.contributor.funderPortuguese Foundation for Science and Technologyen_UK
dc.contributor.funderPortuguese Foundation for Science and Technologyen_UK
dc.contributor.funderPortuguese Foundation for Science and Technologyen_UK
dc.contributor.funderPortuguese Foundation for Science and Technologyen_UK
dc.author.emailcarlos.loureiro@stir.ac.uken_UK
dc.citation.date29/12/2014en_UK
dc.contributor.affiliationUniversity of Algarveen_UK
dc.contributor.affiliationUniversity of Algarveen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of Algarveen_UK
dc.identifier.isiWOS:000352749000009en_UK
dc.identifier.scopusid2-s2.0-84923791774en_UK
dc.identifier.wtid1236928en_UK
dc.contributor.orcid0000-0003-3117-3492en_UK
dc.date.accepted2014-12-08en_UK
dcterms.dateAccepted2014-12-08en_UK
dc.date.filedepositdate2019-03-01en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorPacheco, André|en_UK
local.rioxx.authorHorta, João|en_UK
local.rioxx.authorLoureiro, Carlos|0000-0003-3117-3492en_UK
local.rioxx.authorFerreira, Óscar|en_UK
local.rioxx.projectSFRH/BPD/85335/2012|Portuguese Foundation for Science and Technology|en_UK
local.rioxx.projectPTDC/CTE-GIX/111230/2009|EROS (Erosion of Rocky Shores)|en_UK
local.rioxx.projectSFRH/BPD/76110/2011|Portuguese Foundation for Science and Technology|en_UK
local.rioxx.projectSFRH/BPD/85335/2012|Portuguese Foundation for Science and Technology|en_UK
local.rioxx.projectPTDC/CTE-GIX/116814/2010|Portuguese Foundation for Science and Technology|en_UK
local.rioxx.projectSFRH/BPD/76110/2011|Portuguese Foundation for Science and Technology|en_UK
local.rioxx.projectPTDC/CTE-GIX/116814/2010|Portuguese Foundation for Science and Technology|en_UK
local.rioxx.freetoreaddate2019-03-29en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2015-12-29en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2019-03-29|en_UK
local.rioxx.filenamePacheco_etal_2015_AcceptedManuscript.pdfen_UK
local.rioxx.filecount2en_UK
local.rioxx.source0034-4257en_UK
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