Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2

Coastal waters have high ecological and economic relevance and are globally threatened by intense human activities leading to eutrophication. The decameter resolution of Sentinel-2 Multispectral Instrument (S2-MSI) provides an advantage to detect spatially heterogeneous phenomena that are limited in...

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Detalles Bibliográficos
Autores: Maciel, Fernanda P., Haakonsson, Signe, Ponce de León, Lucía, Bonilla Santibañez, Sylvia Estela, Pedocchi, Francisco
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:Uruguay
Institución:Universidad de la República
Repositorio:COLIBRI
Idioma:inglés
OAI Identifier:oai:colibri.udelar.edu.uy:20.500.12008/42818
Acceso en línea:https://hdl.handle.net/20.500.12008/42818
Access Level:acceso abierto
Palabra clave:Water quality
Algal bloom
Cyanobacteria
Río de la Plata
Turbid waters
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dc.title.none.fl_str_mv Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
title Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
spellingShingle Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
Maciel, Fernanda P.
Water quality
Algal bloom
Cyanobacteria
Río de la Plata
Turbid waters
title_short Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
title_full Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
title_fullStr Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
title_full_unstemmed Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
title_sort Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2
dc.creator.none.fl_str_mv Maciel, Fernanda P.
Haakonsson, Signe
Ponce de León, Lucía
Bonilla Santibañez, Sylvia Estela
Pedocchi, Francisco
author Maciel, Fernanda P.
author_facet Maciel, Fernanda P.
Haakonsson, Signe
Ponce de León, Lucía
Bonilla Santibañez, Sylvia Estela
Pedocchi, Francisco
author_role author
author2 Haakonsson, Signe
Ponce de León, Lucía
Bonilla Santibañez, Sylvia Estela
Pedocchi, Francisco
author2_role author
author
author
author
dc.contributor.filiacion.none.fl_str_mv Maciel Fernanda P., Universidad de la República (Uruguay). Facultad de Ingeniería.
Haakonsson Signe, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.
Ponce de León Lucía, Universidad de la República (Uruguay). Facultad de Ingeniería.
Bonilla Santibañez Sylvia Estela, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.
Pedocchi Francisco, Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.subject.es.fl_str_mv Water quality
Algal bloom
Cyanobacteria
Río de la Plata
Turbid waters
topic Water quality
Algal bloom
Cyanobacteria
Río de la Plata
Turbid waters
description Coastal waters have high ecological and economic relevance and are globally threatened by intense human activities leading to eutrophication. The decameter resolution of Sentinel-2 Multispectral Instrument (S2-MSI) provides an advantage to detect spatially heterogeneous phenomena that are limited in extent, such as harmful cyanobacterial blooms (cyanoHABs). Chlorophyll-a is typically used in remote sensing of blooms; however, it remains to be evaluated in several coastal regions of the world. The Río de la Plata estuary (South America) provides a key case study due to its highly variable concentrations of suspended sediments, and the increasing frequency of cyanoHABs. Here, we evaluate the potential and limitations of S2-MSI indices to retrieve chlorophylla in these optically complex waters, obtaining regional algorithms and comparing them to previously available ones. We propose an approach to follow the evolution of chlorophyll-a thresholds (10 and 24 lg/L) that can contribute to monitoring programs and early warning strategies of cyanoHABs.
publishDate 2023
dc.date.issued.none.fl_str_mv 2023
dc.date.accessioned.none.fl_str_mv 2024-02-29T13:18:34Z
dc.date.available.none.fl_str_mv 2024-02-29T13:18:34Z
dc.type.es.fl_str_mv Artículo
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dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.citation.es.fl_str_mv Maciel, F, Haakonsson, S, Ponce de León, L [y otros autores]. "Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2". Geocarto International. [en línea] 2023, 38(1): 2160017. 22 h. DOI: 10.1080/10106049.2022.2160017.
dc.identifier.issn.none.fl_str_mv 1752-0762
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/42818
dc.identifier.doi.none.fl_str_mv 10.1080/10106049.2022.2160017
identifier_str_mv Maciel, F, Haakonsson, S, Ponce de León, L [y otros autores]. "Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2". Geocarto International. [en línea] 2023, 38(1): 2160017. 22 h. DOI: 10.1080/10106049.2022.2160017.
1752-0762
10.1080/10106049.2022.2160017
url https://hdl.handle.net/20.500.12008/42818
dc.language.iso.none.fl_str_mv en
eng
language_invalid_str_mv en
language eng
dc.relation.none.fl_str_mv Geocarto International, 2023, 38(1): 2160017.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
dc.format.extent.es.fl_str_mv 22 h.
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dc.publisher.es.fl_str_mv Taylor & Francis
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instacron:Universidad de la República
instname_str Universidad de la República
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institution Universidad de la República
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collection COLIBRI
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spelling Maciel Fernanda P., Universidad de la República (Uruguay). Facultad de Ingeniería.Haakonsson Signe, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.Ponce de León Lucía, Universidad de la República (Uruguay). Facultad de Ingeniería.Bonilla Santibañez Sylvia Estela, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.Pedocchi Francisco, Universidad de la República (Uruguay). Facultad de Ingeniería.2024-02-29T13:18:34Z2024-02-29T13:18:34Z2023Maciel, F, Haakonsson, S, Ponce de León, L [y otros autores]. "Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2". Geocarto International. [en línea] 2023, 38(1): 2160017. 22 h. DOI: 10.1080/10106049.2022.2160017.1752-0762https://hdl.handle.net/20.500.12008/4281810.1080/10106049.2022.2160017Coastal waters have high ecological and economic relevance and are globally threatened by intense human activities leading to eutrophication. The decameter resolution of Sentinel-2 Multispectral Instrument (S2-MSI) provides an advantage to detect spatially heterogeneous phenomena that are limited in extent, such as harmful cyanobacterial blooms (cyanoHABs). Chlorophyll-a is typically used in remote sensing of blooms; however, it remains to be evaluated in several coastal regions of the world. The Río de la Plata estuary (South America) provides a key case study due to its highly variable concentrations of suspended sediments, and the increasing frequency of cyanoHABs. Here, we evaluate the potential and limitations of S2-MSI indices to retrieve chlorophylla in these optically complex waters, obtaining regional algorithms and comparing them to previously available ones. We propose an approach to follow the evolution of chlorophyll-a thresholds (10 and 24 lg/L) that can contribute to monitoring programs and early warning strategies of cyanoHABs.Submitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-02-28T14:22:42Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1080.10106049.2022.2160017.pdf: 3852929 bytes, checksum: d2788c319142241d64096d767ff54b7b (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-02-29T11:46:13Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1080.10106049.2022.2160017.pdf: 3852929 bytes, checksum: d2788c319142241d64096d767ff54b7b (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-02-29T13:18:34Z (GMT). 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públicahttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestkarina.camps@seciu.edu.uyUruguayopendoar:47712024-02-29T13:18:34COLIBRI - Universidad de la Repúblicafalse
score 14,513146

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