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GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality
The 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) includ...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935528/ https://www.ncbi.nlm.nih.gov/pubmed/36797273 http://dx.doi.org/10.1038/s41597-023-01973-y |
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| author | Lehmann, Moritz K. Gurlin, Daniela Pahlevan, Nima Alikas, Krista Conroy, Ted Anstee, Janet Balasubramanian, Sundarabalan V. Barbosa, Cláudio C. F. Binding, Caren Bracher, Astrid Bresciani, Mariano Burtner, Ashley Cao, Zhigang Dekker, Arnold G. Di Vittorio, Courtney Drayson, Nathan Errera, Reagan M. Fernandez, Virginia Ficek, Dariusz Fichot, Cédric G. Gege, Peter Giardino, Claudia Gitelson, Anatoly A. Greb, Steven R. Henderson, Hayden Higa, Hiroto Rahaghi, Abolfazl Irani Jamet, Cédric Jiang, Dalin Jordan, Thomas Kangro, Kersti Kravitz, Jeremy A. Kristoffersen, Arne S. Kudela, Raphael Li, Lin Ligi, Martin Loisel, Hubert Lohrenz, Steven Ma, Ronghua Maciel, Daniel A. Malthus, Tim J. Matsushita, Bunkei Matthews, Mark Minaudo, Camille Mishra, Deepak R. Mishra, Sachidananda Moore, Tim Moses, Wesley J. Nguyễn, Hà Novo, Evlyn M. L. M. Novoa, Stéfani Odermatt, Daniel O’Donnell, David M. Olmanson, Leif G. Ondrusek, Michael Oppelt, Natascha Ouillon, Sylvain Pereira Filho, Waterloo Plattner, Stefan Verdú, Antonio Ruiz Salem, Salem I. Schalles, John F. Simis, Stefan G. H. Siswanto, Eko Smith, Brandon Somlai-Schweiger, Ian Soppa, Mariana A. Spyrakos, Evangelos Tessin, Elinor van der Woerd, Hendrik J. Vander Woude, Andrea Vandermeulen, Ryan A. Vantrepotte, Vincent Wernand, Marcel R. Werther, Mortimer Young, Kyana Yue, Linwei |
| author_facet | Lehmann, Moritz K. Gurlin, Daniela Pahlevan, Nima Alikas, Krista Conroy, Ted Anstee, Janet Balasubramanian, Sundarabalan V. Barbosa, Cláudio C. F. Binding, Caren Bracher, Astrid Bresciani, Mariano Burtner, Ashley Cao, Zhigang Dekker, Arnold G. Di Vittorio, Courtney Drayson, Nathan Errera, Reagan M. Fernandez, Virginia Ficek, Dariusz Fichot, Cédric G. Gege, Peter Giardino, Claudia Gitelson, Anatoly A. Greb, Steven R. Henderson, Hayden Higa, Hiroto Rahaghi, Abolfazl Irani Jamet, Cédric Jiang, Dalin Jordan, Thomas Kangro, Kersti Kravitz, Jeremy A. Kristoffersen, Arne S. Kudela, Raphael Li, Lin Ligi, Martin Loisel, Hubert Lohrenz, Steven Ma, Ronghua Maciel, Daniel A. Malthus, Tim J. Matsushita, Bunkei Matthews, Mark Minaudo, Camille Mishra, Deepak R. Mishra, Sachidananda Moore, Tim Moses, Wesley J. Nguyễn, Hà Novo, Evlyn M. L. M. Novoa, Stéfani Odermatt, Daniel O’Donnell, David M. Olmanson, Leif G. Ondrusek, Michael Oppelt, Natascha Ouillon, Sylvain Pereira Filho, Waterloo Plattner, Stefan Verdú, Antonio Ruiz Salem, Salem I. Schalles, John F. Simis, Stefan G. H. Siswanto, Eko Smith, Brandon Somlai-Schweiger, Ian Soppa, Mariana A. Spyrakos, Evangelos Tessin, Elinor van der Woerd, Hendrik J. Vander Woude, Andrea Vandermeulen, Ryan A. Vantrepotte, Vincent Wernand, Marcel R. Werther, Mortimer Young, Kyana Yue, Linwei |
| author_sort | Lehmann, Moritz K. |
| collection | PubMed |
| description | The 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. |
| format | Online Article Text |
| id | pubmed-9935528 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-99355282023-02-18 GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality Lehmann, Moritz K. Gurlin, Daniela Pahlevan, Nima Alikas, Krista Conroy, Ted Anstee, Janet Balasubramanian, Sundarabalan V. Barbosa, Cláudio C. F. Binding, Caren Bracher, Astrid Bresciani, Mariano Burtner, Ashley Cao, Zhigang Dekker, Arnold G. Di Vittorio, Courtney Drayson, Nathan Errera, Reagan M. Fernandez, Virginia Ficek, Dariusz Fichot, Cédric G. Gege, Peter Giardino, Claudia Gitelson, Anatoly A. Greb, Steven R. Henderson, Hayden Higa, Hiroto Rahaghi, Abolfazl Irani Jamet, Cédric Jiang, Dalin Jordan, Thomas Kangro, Kersti Kravitz, Jeremy A. Kristoffersen, Arne S. Kudela, Raphael Li, Lin Ligi, Martin Loisel, Hubert Lohrenz, Steven Ma, Ronghua Maciel, Daniel A. Malthus, Tim J. Matsushita, Bunkei Matthews, Mark Minaudo, Camille Mishra, Deepak R. Mishra, Sachidananda Moore, Tim Moses, Wesley J. Nguyễn, Hà Novo, Evlyn M. L. M. Novoa, Stéfani Odermatt, Daniel O’Donnell, David M. Olmanson, Leif G. Ondrusek, Michael Oppelt, Natascha Ouillon, Sylvain Pereira Filho, Waterloo Plattner, Stefan Verdú, Antonio Ruiz Salem, Salem I. Schalles, John F. Simis, Stefan G. H. Siswanto, Eko Smith, Brandon Somlai-Schweiger, Ian Soppa, Mariana A. Spyrakos, Evangelos Tessin, Elinor van der Woerd, Hendrik J. Vander Woude, Andrea Vandermeulen, Ryan A. Vantrepotte, Vincent Wernand, Marcel R. Werther, Mortimer Young, Kyana Yue, Linwei Sci Data Data Descriptor The 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. Nature Publishing Group UK 2023-02-16 /pmc/articles/PMC9935528/ /pubmed/36797273 http://dx.doi.org/10.1038/s41597-023-01973-y Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Data Descriptor Lehmann, Moritz K. Gurlin, Daniela Pahlevan, Nima Alikas, Krista Conroy, Ted Anstee, Janet Balasubramanian, Sundarabalan V. Barbosa, Cláudio C. F. Binding, Caren Bracher, Astrid Bresciani, Mariano Burtner, Ashley Cao, Zhigang Dekker, Arnold G. Di Vittorio, Courtney Drayson, Nathan Errera, Reagan M. Fernandez, Virginia Ficek, Dariusz Fichot, Cédric G. Gege, Peter Giardino, Claudia Gitelson, Anatoly A. Greb, Steven R. Henderson, Hayden Higa, Hiroto Rahaghi, Abolfazl Irani Jamet, Cédric Jiang, Dalin Jordan, Thomas Kangro, Kersti Kravitz, Jeremy A. Kristoffersen, Arne S. Kudela, Raphael Li, Lin Ligi, Martin Loisel, Hubert Lohrenz, Steven Ma, Ronghua Maciel, Daniel A. Malthus, Tim J. Matsushita, Bunkei Matthews, Mark Minaudo, Camille Mishra, Deepak R. Mishra, Sachidananda Moore, Tim Moses, Wesley J. Nguyễn, Hà Novo, Evlyn M. L. M. Novoa, Stéfani Odermatt, Daniel O’Donnell, David M. Olmanson, Leif G. Ondrusek, Michael Oppelt, Natascha Ouillon, Sylvain Pereira Filho, Waterloo Plattner, Stefan Verdú, Antonio Ruiz Salem, Salem I. Schalles, John F. Simis, Stefan G. H. Siswanto, Eko Smith, Brandon Somlai-Schweiger, Ian Soppa, Mariana A. Spyrakos, Evangelos Tessin, Elinor van der Woerd, Hendrik J. Vander Woude, Andrea Vandermeulen, Ryan A. Vantrepotte, Vincent Wernand, Marcel R. Werther, Mortimer Young, Kyana Yue, Linwei GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality |
| title | GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality |
| title_full | GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality |
| title_fullStr | GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality |
| title_full_unstemmed | GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality |
| title_short | GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality |
| title_sort | gloria - a globally representative hyperspectral in situ dataset for optical sensing of water quality |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935528/ https://www.ncbi.nlm.nih.gov/pubmed/36797273 http://dx.doi.org/10.1038/s41597-023-01973-y |
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