Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon

During recent years, several eutrophication processes and subsequent environmental crises have occurred in Mar Menor, the largest hypersaline coastal lagoon in the Western Mediterranean Sea. In this study, the Landsat‐8 and Sentinel‐2 satellites are jointly used to examine the evolution of the main...

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Autores: Caballero, Isabel, Roca Mora, Mar, Santos-Echeandía, Juan, Bernárdez, Patricia, Navarro, Gabriel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/285584
Acceso en línea:http://hdl.handle.net/10261/285584
https://api.elsevier.com/content/abstract/scopus_id/85132288146
Access Level:acceso abierto
Palabra clave:Turbidity
Chlorophyll‐a
Coastal monitoring
Copernicus programme
Eutrophication
Remote sensing
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spelling Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal LagoonCaballero, IsabelRoca Mora, MarSantos-Echeandía, JuanBernárdez, PatriciaNavarro, GabrielTurbidityChlorophyll‐aCoastal monitoringCopernicus programmeEutrophicationRemote sensingDuring recent years, several eutrophication processes and subsequent environmental crises have occurred in Mar Menor, the largest hypersaline coastal lagoon in the Western Mediterranean Sea. In this study, the Landsat‐8 and Sentinel‐2 satellites are jointly used to examine the evolution of the main water quality descriptors during the latest ecological crisis in 2021, resulting in an important loss of benthic vegetation and unusual mortality events affecting different aquatic species. Several field campaigns were carried out in March, July, August, and November 2021 to measure water quality variables over 10 control points. The validation of satellite biogeochemical variables against on‐site measurements indicates precise results of the water quality algorithms with median errors of 0.41 mg/m3 and 2.04 FNU for chlorophyll‐a and turbidity, respectively. The satellite preprocessing scheme shows consistent performance for both satellites; therefore, using them in tandem can improve mapping strategies. The findings demonstrate the suitability of the methodology to capture the spatiotemporal distribution of turbidity and chlorophyll‐a concentration at 10– 30 m spatial resolution on a systematic basis and in a cost‐effective way. The multitemporal products allow the identification of the main critical areas close to the mouth of the Albujon watercourse and the beginning of the eutrophication process with chlorophyll‐a concentration above 3 mg/m3. These innovative tools can support decision makers in improving current monitoring strategies as early warning systems for timely assistance during these ecological disasters, thus preventing detrimental conditions in the lagoon.This research was supported by the Project RTI2018-098784-J-I00 funded by the MCIN/AEI/10.13039/501100011033 and by “FEDER Una manera de hacer Europa” and the Grant IJC2019-039382-I funded by the MCIN/AEI/10.13039/501100011033. The work was also supported by the Project of the Regional Government “Junta de Andalucía” (PY20-00244), the Project PID2019-109355RA-I00 funded by the MCIN/AEI/10.13039/501100011033 and the Grant FPU20/01294 funded by the Spanish Ministry of Universities.Peer reviewedMultidisciplinary Digital Publishing InstituteMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)European CommissionJunta de AndalucíaMinisterio de Universidades (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/285584https://api.elsevier.com/content/abstract/scopus_id/85132288146reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098784-J-I00info:eu-repo/grantAgreement/MICINN//IJC2019-039382-Iinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109355RA-I00Caballero, Isabel; Roca Mora, Mar; Santos-Echeandía, Juan; Bernárdez, Patricia; Navarro, Gabriel; 2022; Supplementary Materials of the article Use of the Sentinel-2 and Landsat-8 satellites for water quality monitoring: an early-warning tool in the Mar Menor coastal lagoon [Dataset]; Multidisciplinary Digital Publishing Institute; https://doi.org/10.3390/rs14122744https://doi.org/10.3390/rs14122744Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2855842026-05-22T06:33:51Z
dc.title.none.fl_str_mv Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
title Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
spellingShingle Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
Caballero, Isabel
Turbidity
Chlorophyll‐a
Coastal monitoring
Copernicus programme
Eutrophication
Remote sensing
title_short Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
title_full Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
title_fullStr Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
title_full_unstemmed Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
title_sort Use of the Sentinel‐2 and Landsat‐8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
dc.creator.none.fl_str_mv Caballero, Isabel
Roca Mora, Mar
Santos-Echeandía, Juan
Bernárdez, Patricia
Navarro, Gabriel
author Caballero, Isabel
author_facet Caballero, Isabel
Roca Mora, Mar
Santos-Echeandía, Juan
Bernárdez, Patricia
Navarro, Gabriel
author_role author
author2 Roca Mora, Mar
Santos-Echeandía, Juan
Bernárdez, Patricia
Navarro, Gabriel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
European Commission
Junta de Andalucía
Ministerio de Universidades (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Turbidity
Chlorophyll‐a
Coastal monitoring
Copernicus programme
Eutrophication
Remote sensing
topic Turbidity
Chlorophyll‐a
Coastal monitoring
Copernicus programme
Eutrophication
Remote sensing
description During recent years, several eutrophication processes and subsequent environmental crises have occurred in Mar Menor, the largest hypersaline coastal lagoon in the Western Mediterranean Sea. In this study, the Landsat‐8 and Sentinel‐2 satellites are jointly used to examine the evolution of the main water quality descriptors during the latest ecological crisis in 2021, resulting in an important loss of benthic vegetation and unusual mortality events affecting different aquatic species. Several field campaigns were carried out in March, July, August, and November 2021 to measure water quality variables over 10 control points. The validation of satellite biogeochemical variables against on‐site measurements indicates precise results of the water quality algorithms with median errors of 0.41 mg/m3 and 2.04 FNU for chlorophyll‐a and turbidity, respectively. The satellite preprocessing scheme shows consistent performance for both satellites; therefore, using them in tandem can improve mapping strategies. The findings demonstrate the suitability of the methodology to capture the spatiotemporal distribution of turbidity and chlorophyll‐a concentration at 10– 30 m spatial resolution on a systematic basis and in a cost‐effective way. The multitemporal products allow the identification of the main critical areas close to the mouth of the Albujon watercourse and the beginning of the eutrophication process with chlorophyll‐a concentration above 3 mg/m3. These innovative tools can support decision makers in improving current monitoring strategies as early warning systems for timely assistance during these ecological disasters, thus preventing detrimental conditions in the lagoon.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/285584
https://api.elsevier.com/content/abstract/scopus_id/85132288146
url http://hdl.handle.net/10261/285584
https://api.elsevier.com/content/abstract/scopus_id/85132288146
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098784-J-I00
info:eu-repo/grantAgreement/MICINN//IJC2019-039382-I
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109355RA-I00
Caballero, Isabel; Roca Mora, Mar; Santos-Echeandía, Juan; Bernárdez, Patricia; Navarro, Gabriel; 2022; Supplementary Materials of the article Use of the Sentinel-2 and Landsat-8 satellites for water quality monitoring: an early-warning tool in the Mar Menor coastal lagoon [Dataset]; Multidisciplinary Digital Publishing Institute; https://doi.org/10.3390/rs14122744
https://doi.org/10.3390/rs14122744

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publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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