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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34958
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dc.contributor.authorLehmann, Moritz Ken_UK
dc.contributor.authorGurlin, Danielaen_UK
dc.contributor.authorPahlevan, Nimaen_UK
dc.contributor.authorAnstee, Janeten_UK
dc.contributor.authorBalasubramanian, Sundarabalan Ven_UK
dc.contributor.authorBarbosa, Claudio C Fen_UK
dc.contributor.authorBinding, Carenen_UK
dc.contributor.authorBracher, Astriden_UK
dc.contributor.authorBresciani, Marianoen_UK
dc.contributor.authorBurtner, Ashleyen_UK
dc.contributor.authorCao, Zhigangen_UK
dc.contributor.authorDekker, Arnold Gen_UK
dc.contributor.authorJiang, Dalinen_UK
dc.contributor.authorSpyrakos, Evangelosen_UK
dc.contributor.authorWerther, Mortimeren_UK
dc.date.accessioned2023-03-24T01:09:39Z-
dc.date.available2023-03-24T01:09:39Z-
dc.date.issued2023en_UK
dc.identifier.other100en_UK
dc.identifier.urihttp://hdl.handle.net/1893/34958-
dc.description.abstractThe development of algorithms for remote sensing of water quality (RSWQ) requires a large amount of in situ data to account for the bio-geo-optical diversity of inland and coastal waters. The GLObal Reflectance community dataset for Imaging and optical sensing of Aquatic environments (GLORIA) includes 7,572 curated hyperspectral remote sensing reflectance measurements at 1 nm intervals within the 350 to 900 nm wavelength range. In addition, at least one co-located water quality measurement of chlorophyll a, total suspended solids, absorption by dissolved substances, and Secchi depth, is provided. The data were contributed by researchers affiliated with 59 institutions worldwide and come from 450 different water bodies, making GLORIA the de-facto state of knowledge of in situ coastal and inland aquatic optical diversity. Each measurement is documented with comprehensive methodological details, allowing users to evaluate fitness-for-purpose, and providing a reference for practitioners planning similar measurements. We provide open and free access to this dataset with the goal of enabling scientific and technological advancement towards operational regional and global RSWQ monitoring.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationLehmann MK, Gurlin D, Pahlevan N, Anstee J, Balasubramanian SV, Barbosa CCF, Binding C, Bracher A, Bresciani M, Burtner A, Cao Z, Dekker AG, Jiang D, Spyrakos E & Werther M (2023) GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. <i>Scientific Data</i>, 10 (1), Art. No.: 100. https://doi.org/10.1038/s41597-023-01973-yen_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectLibrary and Information Sciencesen_UK
dc.subjectStatistics,en_UK
dc.subjectProbability and Uncertaintyen_UK
dc.subjectComputer Science Applicationsen_UK
dc.subjectEducationen_UK
dc.subjectInformation Systemsen_UK
dc.subjectStatistics and Probabilityen_UK
dc.titleGLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water qualityen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41597-023-01973-yen_UK
dc.citation.jtitleScientific Dataen_UK
dc.citation.issn2052-4463en_UK
dc.citation.volume10en_UK
dc.citation.issue1en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Space Agencyen_UK
dc.author.emailevangelos.spyrakos@stir.ac.uken_UK
dc.citation.date16/02/2023en_UK
dc.description.notesAdditional co-authors: Courtney Di Vittorio, Nathan Drayson, Reagan M. Errera, Virginia Fernandez, Dariusz Ficek, Cédric G. Fichot, Peter Gege, Claudia Giardino, Anatoly A. Gitelson, Steven R. Greb, Hayden Henderson, Hiroto Higa, Abolfazl Irani Rahaghi, Cédric Jamet, Thomas Jordan, Kersti Kangro, Jeremy A. Kravitz, Arne S. Kristoffersen, Raphael Kudela, Lin Li, Martin Ligi, Hubert Loisel, Steven Lohrenz, Ronghua Ma, Daniel A. Maciel, Tim J. Malthus, Bunkei Matsushita, Mark Matthews, Camille Minaudo, Deepak R. Mishra, Sachidananda Mishra, Tim Moore, Wesley J. Moses, Hà Nguyễn, Evlyn M. L. M. Novo, Stéfani Novoa, Daniel Odermatt, David M. O’Donnell, Leif G. Olmanson, Michael Ondrusek, Natascha Oppelt, Sylvain Ouillon, Waterloo Pereira Filho, Stefan Plattner, Antonio Ruiz Verdú, Salem I. Salem, John F. Schalles, Stefan G. H. Simis, Eko Siswanto, Brandon Smith, Ian Somlai-Schweiger, Mariana A. Soppa, Elinor Tessin, Hendrik J. van der Woerd, Andrea Vander Woude, Ryan A. Vandermeulen, Vincent Vantrepotte, Marcel R. Wernand, Kyana Young & Linwei Yueen_UK
dc.contributor.affiliationUniversity of Waikatoen_UK
dc.contributor.affiliationWisconsin Department of Natural Resourcesen_UK
dc.contributor.affiliationScience Systems and Applications, Inc.en_UK
dc.contributor.affiliationCommonwealth Scientific and Industrial Research Organisation (CSIRO)en_UK
dc.contributor.affiliationGeosensing and Imaging Solution Consultancyen_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais (INPE)en_UK
dc.contributor.affiliationEnvironment and Climate Change Canadaen_UK
dc.contributor.affiliationAlfred Wegener Institute, Helmholtz Centre for Polar and Marine Researchen_UK
dc.contributor.affiliationItalian National Research Council (CNR)en_UK
dc.contributor.affiliationUniversity of Michiganen_UK
dc.contributor.affiliationChinese Academy of Sciencesen_UK
dc.contributor.affiliationIndependenten_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.wtid1882939en_UK
dc.contributor.orcid0000-0001-7346-3901en_UK
dc.contributor.orcid0000-0002-4899-9795en_UK
dc.contributor.orcid0000-0002-1681-9630en_UK
dc.contributor.orcid0000-0001-5329-2906en_UK
dc.date.accepted2023-02-14en_UK
dcterms.dateAccepted2023-02-14en_UK
dc.date.filedepositdate2023-03-09en_UK
dc.relation.funderprojectESA CNN - CCI LAKES + Consistencyen_UK
dc.relation.funderrefCLS-SPA-BC-18-0069en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorLehmann, Moritz K|0000-0001-7346-3901en_UK
local.rioxx.authorGurlin, Daniela|0000-0002-4899-9795en_UK
local.rioxx.authorPahlevan, Nima|en_UK
local.rioxx.authorAnstee, Janet|0000-0002-1681-9630en_UK
local.rioxx.authorBalasubramanian, Sundarabalan V|en_UK
local.rioxx.authorBarbosa, Claudio C F|en_UK
local.rioxx.authorBinding, Caren|en_UK
local.rioxx.authorBracher, Astrid|en_UK
local.rioxx.authorBresciani, Mariano|en_UK
local.rioxx.authorBurtner, Ashley|en_UK
local.rioxx.authorCao, Zhigang|0000-0001-5329-2906en_UK
local.rioxx.authorDekker, Arnold G|en_UK
local.rioxx.authorJiang, Dalin|en_UK
local.rioxx.authorSpyrakos, Evangelos|en_UK
local.rioxx.authorWerther, Mortimer|en_UK
local.rioxx.projectCLS-SPA-BC-18-0069|European Space Agency|http://dx.doi.org/10.13039/501100000844en_UK
local.rioxx.freetoreaddate2023-03-09en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2023-03-09|en_UK
local.rioxx.filenames41597-023-01973-y.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2052-4463en_UK
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