GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality
Resumen:
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 Refectance community dataset for Imaging and optical sensing of Aquatic environments (GLORIA) includes 7,572 curated hyperspectral remote sensing refectance measurements at 1nm intervals within the 350 to 900nm 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 afliated with 59 institutions worldwide and come from 450 diferent 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 ftness-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 scientifc and technological advancement towards operational regional and global RSWQ monitoring.
| 2023 | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/43470 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1807522809756254208 |
|---|---|
| author | Lehmann, Moritz K. |
| author2 | Gurlin, Daniela Fernández Ramos, Virginia Myriam |
| author2_role | author author |
| author_facet | Lehmann, Moritz K. Gurlin, Daniela Fernández Ramos, Virginia Myriam |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Lehmann Moritz K. Gurlin Daniela Fernández Ramos Virginia Myriam, Universidad de la República (Uruguay). Facultad de Ciencias. Departamento de Geografía. |
| dc.creator.none.fl_str_mv | Lehmann, Moritz K. Gurlin, Daniela Fernández Ramos, Virginia Myriam |
| dc.date.accessioned.none.fl_str_mv | 2024-04-15T13:45:51Z |
| dc.date.available.none.fl_str_mv | 2024-04-15T13:45:51Z |
| dc.date.issued.none.fl_str_mv | 2023 |
| dc.description.abstract.none.fl_txt_mv | 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 Refectance community dataset for Imaging and optical sensing of Aquatic environments (GLORIA) includes 7,572 curated hyperspectral remote sensing refectance measurements at 1nm intervals within the 350 to 900nm 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 afliated with 59 institutions worldwide and come from 450 diferent 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 ftness-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 scientifc and technological advancement towards operational regional and global RSWQ monitoring. |
| dc.description.es.fl_txt_mv | Este artículo fue escrito por 77 autores. |
| dc.format.extent.es.fl_str_mv | 14 h. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Lehmann, M, Gurlin, D, Fernández Ramos, V [y otros autores]. "GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality". Scientific data. [en línea] 2023, 10: 100. 14 h. DOI: | https://doi.org/10.1038/s41597-023-01973-y. |
| dc.identifier.doi.none.fl_str_mv | 10.1038/s41597-023-01973-y |
| dc.identifier.issn.none.fl_str_mv | 2052-4463 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/43470 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Nature |
| dc.relation.ispartof.es.fl_str_mv | Scientific data, 2023, 10: 100. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.title.none.fl_str_mv | GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Este artículo fue escrito por 77 autores. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_2516361663d60fb9c5acd92dade0ec40 |
| identifier_str_mv | Lehmann, M, Gurlin, D, Fernández Ramos, V [y otros autores]. "GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality". Scientific data. [en línea] 2023, 10: 100. 14 h. DOI: | https://doi.org/10.1038/s41597-023-01973-y. 2052-4463 10.1038/s41597-023-01973-y |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43470 |
| publishDate | 2023 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Lehmann Moritz K.Gurlin DanielaFernández Ramos Virginia Myriam, Universidad de la República (Uruguay). Facultad de Ciencias. Departamento de Geografía.2024-04-15T13:45:51Z2024-04-15T13:45:51Z2023Lehmann, M, Gurlin, D, Fernández Ramos, V [y otros autores]. "GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality". Scientific data. [en línea] 2023, 10: 100. 14 h. DOI: | https://doi.org/10.1038/s41597-023-01973-y.2052-4463https://hdl.handle.net/20.500.12008/4347010.1038/s41597-023-01973-yEste artículo fue escrito por 77 autores.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 Refectance community dataset for Imaging and optical sensing of Aquatic environments (GLORIA) includes 7,572 curated hyperspectral remote sensing refectance measurements at 1nm intervals within the 350 to 900nm 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 afliated with 59 institutions worldwide and come from 450 diferent 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 ftness-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 scientifc and technological advancement towards operational regional and global RSWQ monitoring.Submitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-04-12T18:22:55Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1038.s41597-023-01973-y.pdf: 2164722 bytes, checksum: 01ac77b27cc40416cab85963e28dd9d0 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-04-15T12:20:41Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1038.s41597-023-01973-y.pdf: 2164722 bytes, checksum: 01ac77b27cc40416cab85963e28dd9d0 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-04-15T13:45:51Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1038.s41597-023-01973-y.pdf: 2164722 bytes, checksum: 01ac77b27cc40416cab85963e28dd9d0 (MD5) Previous issue date: 202314 h.application/pdfenengNatureScientific data, 2023, 10: 100.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse |
| spellingShingle | GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality Lehmann, Moritz K. |
| status_str | publishedVersion |
| 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 |
| url | https://hdl.handle.net/20.500.12008/43470 |
