Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal

Autores
Sent, Giulia; Biguino, Beatriz; Favareto, Luciane; Cruz, Joana; Sá, Carolina; Dogliotti, Ana Inés; Palma, Carla; Brotas, Vanda; Brito, Ana C.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Monitoring water quality parameters and their ecological effects in transitional waters is usually performed through in situ sampling programs. These are expensive and time-consuming, and often do not represent the total area of interest. Remote sensing techniques offer enormous advantages by providing cost-effective systematic observations of a large water system. This study evaluates the potential of water quality monitoring using Sentinel-2 observations for the period 2018-2020 for the Sado estuary (Portugal), through an algorithm intercomparison exercise and time-series analysis of different water quality parameters (i.e., colored dissolved organic matter (CDOM), chlorophyll-a (Chl-a), suspended particulate matter (SPM), and turbidity). Results suggest that Sentinel-2 is useful for monitoring these parameters in a highly dynamic system, however, with challenges in retrieving accurate data for some of the variables, such as Chl-a. Spatio-temporal variability results were consistent with historical data, presenting the highest values of CDOM, Chl-a, SPM and turbidity during Spring and Summer. This work is the first study providing annual and seasonal coverage with high spatial resolution (10 m) for the Sado estuary, being a key contribution for the definition of effective monitoring programs. Moreover, the potential of remote sensing methodologies for continuous water quality monitoring in transitional systems under the scope of the European Water Framework Directive is briefly discussed.
Fil: Sent, Giulia. Universidade Nova de Lisboa; Portugal
Fil: Biguino, Beatriz. Universidade Nova de Lisboa; Portugal
Fil: Favareto, Luciane. Universidade Nova de Lisboa; Portugal
Fil: Cruz, Joana. Universidade Nova de Lisboa; Portugal
Fil: Sá, Carolina. Universidade Nova de Lisboa; Portugal
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Palma, Carla. Instituto Hidrográfico; Portugal
Fil: Brotas, Vanda. Universidade Nova de Lisboa; Portugal
Fil: Brito, Ana C.. Universidade Nova de Lisboa; Portugal
Materia
CDOM
CHLOROPHYLL-A
MONITORING
REMOTE SENSING
SUSPENDED PARTICULATE MATTER
TRANSITIONAL WATERS
TURBIDITY
WATER POLICY
WFD
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/182164
Acceder
id CONICETDig_71e5422cbfa6f9e3d80d4c032da84432
oai_identifier_str oai:ri.conicet.gov.ar:11336/182164
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, PortugalSent, GiuliaBiguino, BeatrizFavareto, LucianeCruz, JoanaSá, CarolinaDogliotti, Ana InésPalma, CarlaBrotas, VandaBrito, Ana C.CDOMCHLOROPHYLL-AMONITORINGREMOTE SENSINGSUSPENDED PARTICULATE MATTERTRANSITIONAL WATERSTURBIDITYWATER POLICYWFDhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Monitoring water quality parameters and their ecological effects in transitional waters is usually performed through in situ sampling programs. These are expensive and time-consuming, and often do not represent the total area of interest. Remote sensing techniques offer enormous advantages by providing cost-effective systematic observations of a large water system. This study evaluates the potential of water quality monitoring using Sentinel-2 observations for the period 2018-2020 for the Sado estuary (Portugal), through an algorithm intercomparison exercise and time-series analysis of different water quality parameters (i.e., colored dissolved organic matter (CDOM), chlorophyll-a (Chl-a), suspended particulate matter (SPM), and turbidity). Results suggest that Sentinel-2 is useful for monitoring these parameters in a highly dynamic system, however, with challenges in retrieving accurate data for some of the variables, such as Chl-a. Spatio-temporal variability results were consistent with historical data, presenting the highest values of CDOM, Chl-a, SPM and turbidity during Spring and Summer. This work is the first study providing annual and seasonal coverage with high spatial resolution (10 m) for the Sado estuary, being a key contribution for the definition of effective monitoring programs. Moreover, the potential of remote sensing methodologies for continuous water quality monitoring in transitional systems under the scope of the European Water Framework Directive is briefly discussed.Fil: Sent, Giulia. Universidade Nova de Lisboa; PortugalFil: Biguino, Beatriz. Universidade Nova de Lisboa; PortugalFil: Favareto, Luciane. Universidade Nova de Lisboa; PortugalFil: Cruz, Joana. Universidade Nova de Lisboa; PortugalFil: Sá, Carolina. Universidade Nova de Lisboa; PortugalFil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Palma, Carla. Instituto Hidrográfico; PortugalFil: Brotas, Vanda. Universidade Nova de Lisboa; PortugalFil: Brito, Ana C.. Universidade Nova de Lisboa; PortugalMDPI AG2021-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/182164Sent, Giulia; Biguino, Beatriz; Favareto, Luciane; Cruz, Joana; Sá, Carolina; et al.; Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal; MDPI AG; Remote Sensing; 13; 5; 3-2021; 1-302072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/13/5/1043info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13051043info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:53:54Zoai:ri.conicet.gov.ar:11336/182164instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:53:55.044CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
title Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
spellingShingle Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
Sent, Giulia
CDOM
CHLOROPHYLL-A
MONITORING
REMOTE SENSING
SUSPENDED PARTICULATE MATTER
TRANSITIONAL WATERS
TURBIDITY
WATER POLICY
WFD
title_short Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
title_full Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
title_fullStr Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
title_full_unstemmed Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
title_sort Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal
dc.creator.none.fl_str_mv Sent, Giulia
Biguino, Beatriz
Favareto, Luciane
Cruz, Joana
Sá, Carolina
Dogliotti, Ana Inés
Palma, Carla
Brotas, Vanda
Brito, Ana C.
author Sent, Giulia
author_facet Sent, Giulia
Biguino, Beatriz
Favareto, Luciane
Cruz, Joana
Sá, Carolina
Dogliotti, Ana Inés
Palma, Carla
Brotas, Vanda
Brito, Ana C.
author_role author
author2 Biguino, Beatriz
Favareto, Luciane
Cruz, Joana
Sá, Carolina
Dogliotti, Ana Inés
Palma, Carla
Brotas, Vanda
Brito, Ana C.
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CDOM
CHLOROPHYLL-A
MONITORING
REMOTE SENSING
SUSPENDED PARTICULATE MATTER
TRANSITIONAL WATERS
TURBIDITY
WATER POLICY
WFD
topic CDOM
CHLOROPHYLL-A
MONITORING
REMOTE SENSING
SUSPENDED PARTICULATE MATTER
TRANSITIONAL WATERS
TURBIDITY
WATER POLICY
WFD
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Monitoring water quality parameters and their ecological effects in transitional waters is usually performed through in situ sampling programs. These are expensive and time-consuming, and often do not represent the total area of interest. Remote sensing techniques offer enormous advantages by providing cost-effective systematic observations of a large water system. This study evaluates the potential of water quality monitoring using Sentinel-2 observations for the period 2018-2020 for the Sado estuary (Portugal), through an algorithm intercomparison exercise and time-series analysis of different water quality parameters (i.e., colored dissolved organic matter (CDOM), chlorophyll-a (Chl-a), suspended particulate matter (SPM), and turbidity). Results suggest that Sentinel-2 is useful for monitoring these parameters in a highly dynamic system, however, with challenges in retrieving accurate data for some of the variables, such as Chl-a. Spatio-temporal variability results were consistent with historical data, presenting the highest values of CDOM, Chl-a, SPM and turbidity during Spring and Summer. This work is the first study providing annual and seasonal coverage with high spatial resolution (10 m) for the Sado estuary, being a key contribution for the definition of effective monitoring programs. Moreover, the potential of remote sensing methodologies for continuous water quality monitoring in transitional systems under the scope of the European Water Framework Directive is briefly discussed.
Fil: Sent, Giulia. Universidade Nova de Lisboa; Portugal
Fil: Biguino, Beatriz. Universidade Nova de Lisboa; Portugal
Fil: Favareto, Luciane. Universidade Nova de Lisboa; Portugal
Fil: Cruz, Joana. Universidade Nova de Lisboa; Portugal
Fil: Sá, Carolina. Universidade Nova de Lisboa; Portugal
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Palma, Carla. Instituto Hidrográfico; Portugal
Fil: Brotas, Vanda. Universidade Nova de Lisboa; Portugal
Fil: Brito, Ana C.. Universidade Nova de Lisboa; Portugal
description Monitoring water quality parameters and their ecological effects in transitional waters is usually performed through in situ sampling programs. These are expensive and time-consuming, and often do not represent the total area of interest. Remote sensing techniques offer enormous advantages by providing cost-effective systematic observations of a large water system. This study evaluates the potential of water quality monitoring using Sentinel-2 observations for the period 2018-2020 for the Sado estuary (Portugal), through an algorithm intercomparison exercise and time-series analysis of different water quality parameters (i.e., colored dissolved organic matter (CDOM), chlorophyll-a (Chl-a), suspended particulate matter (SPM), and turbidity). Results suggest that Sentinel-2 is useful for monitoring these parameters in a highly dynamic system, however, with challenges in retrieving accurate data for some of the variables, such as Chl-a. Spatio-temporal variability results were consistent with historical data, presenting the highest values of CDOM, Chl-a, SPM and turbidity during Spring and Summer. This work is the first study providing annual and seasonal coverage with high spatial resolution (10 m) for the Sado estuary, being a key contribution for the definition of effective monitoring programs. Moreover, the potential of remote sensing methodologies for continuous water quality monitoring in transitional systems under the scope of the European Water Framework Directive is briefly discussed.
publishDate 2021
dc.date.none.fl_str_mv 2021-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/182164
Sent, Giulia; Biguino, Beatriz; Favareto, Luciane; Cruz, Joana; Sá, Carolina; et al.; Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal; MDPI AG; Remote Sensing; 13; 5; 3-2021; 1-30
2072-4292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/182164
identifier_str_mv Sent, Giulia; Biguino, Beatriz; Favareto, Luciane; Cruz, Joana; Sá, Carolina; et al.; Deriving water quality parameters using sentinel-2 imagery: A case study in the Sado Estuary, Portugal; MDPI AG; Remote Sensing; 13; 5; 3-2021; 1-30
2072-4292
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/13/5/1043
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13051043
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613642499129344
score 13.070432

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