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...
| Autores: | , , , , |
|---|---|
| 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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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 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/285584 https://api.elsevier.com/content/abstract/scopus_id/85132288146 |
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http://hdl.handle.net/10261/285584 https://api.elsevier.com/content/abstract/scopus_id/85132288146 |
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Inglés |
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Inglés |
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#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-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 Sí |
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