Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36576
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dc.contributor.authorSent, Giuliaen_UK
dc.contributor.authorAntunes, Carlosen_UK
dc.contributor.authorSpyrakos, Evangelosen_UK
dc.contributor.authorJackson, Thomasen_UK
dc.contributor.authorAtwood, Elizabeth Cen_UK
dc.contributor.authorBrito, Ana Cen_UK
dc.date.accessioned2025-02-13T01:01:14Z-
dc.date.available2025-02-13T01:01:14Z-
dc.date.issued2025-01en_UK
dc.identifier.other101425en_UK
dc.identifier.urihttp://hdl.handle.net/1893/36576-
dc.description.abstractTides can play a major role in transitional water dynamics, being the primary driver of fluctuations in water parameters. In the last decade, remote sensing methods have become a popular tool for cost-effective systematic observations, at relatively high spatial and temporal scales. However, the presence of tides introduces complexities, given that Sun-synchronous satellites will observe a different tidal condition at each overpass, effectively aliasing the daily signal. This can create non-obvious biases when using remote sensing data for monitoring tidally-dominated systems, potentially leading to misinterpretation of patterns and incorrect estimates of periodicities. In this work, we used a six-year Sentinel-2-derived turbidity dataset to evaluate the impact of tidal aliasing on the applicability of a Sun-synchronous satellite to a tidally-dominated system (Tagus estuary, Portugal). Each satellite observation was classified according to tidal phase. Results indicate that tidal processes dominated over seasonal variability, with significant differences observed between turbidity levels of different tidal phases (p < 0.0001). Climatology analyses also revealed significant changes between all-data and per-tidal-phase data (p < 0.001), highlighting the importance of classifying satellite data by tidal condition. Additionally, tidal condition labelling at each Sentinel-2 overpass revealed that not all tidal conditions are observed by a Sun-synchronous satellite, as Low tide and Floods are always observed during Spring tides and High tide and Ebbs observed under Neap tides. Spring Low tides are overrepresented compared to all other tidal conditions. This result is particularly relevant for water quality monitoring based on remote sensing data in tidally-dominated systems.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationSent G, Antunes C, Spyrakos E, Jackson T, Atwood EC & Brito AC (2025) What time is the tide? The importance of tides for ocean colour applications to estuaries. <i>Remote Sensing Applications: Society and Environment</i>, 37, Art. No.: 101425. https://doi.org/10.1016/j.rsase.2024.101425en_UK
dc.rightsThis is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectRemote sensingen_UK
dc.subjectTransitional watersen_UK
dc.subjectWater qualityen_UK
dc.subjectTurbidityen_UK
dc.subjectSentinel-2en_UK
dc.titleWhat time is the tide? The importance of tides for ocean colour applications to estuariesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.rsase.2024.101425en_UK
dc.citation.jtitleRemote Sensing Applications: Society and Environmenten_UK
dc.citation.issn2352-9385en_UK
dc.citation.volume37en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Commission (Horizon 2020)en_UK
dc.author.emailevangelos.spyrakos@stir.ac.uken_UK
dc.citation.date10/12/2024en_UK
dc.contributor.affiliationUniversity of Lisbonen_UK
dc.contributor.affiliationUniversity of Lisbonen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationEUMETSATen_UK
dc.contributor.affiliationPlymouth Marine Laboratoryen_UK
dc.contributor.affiliationUniversity of Lisbonen_UK
dc.identifier.isiWOS:001389175900001en_UK
dc.identifier.scopusid2-s2.0-85211751578en_UK
dc.identifier.wtid2079682en_UK
dc.contributor.orcid0000-0002-7558-9847en_UK
dc.contributor.orcid0000-0003-1855-0425en_UK
dc.contributor.orcid0000-0001-5434-2928en_UK
dc.contributor.orcid0000-0001-6539-5830en_UK
dc.date.accepted2024-12-09en_UK
dcterms.dateAccepted2024-12-09en_UK
dc.date.filedepositdate2024-12-11en_UK
dc.relation.funderprojectCopernicus Evolution – Research for Transitional-water Observationsen_UK
dc.relation.funderref870349en_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorSent, Giulia|0000-0002-7558-9847en_UK
local.rioxx.authorAntunes, Carlos|0000-0003-1855-0425en_UK
local.rioxx.authorSpyrakos, Evangelos|en_UK
local.rioxx.authorJackson, Thomas|en_UK
local.rioxx.authorAtwood, Elizabeth C|0000-0001-5434-2928en_UK
local.rioxx.authorBrito, Ana C|0000-0001-6539-5830en_UK
local.rioxx.project870349|European Commission (Horizon 2020)|en_UK
local.rioxx.freetoreaddate2025-02-11en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2025-02-11|en_UK
local.rioxx.filename1-s2.0-S2352938524002891-main.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2352-9385en_UK
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