Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images

Autores
German, Alba; Ferral, Anabella; Scavuzzo, Carlos Matias; Shimoni, M.
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Eutrophication is characterized by excessive plant and algal growth due to the increased of organic matter, carbon dioxide and nutrients in water body. Although eutrophication naturally occurs over centuries as lakes age, human activities have accelerated it processes and caused dramatic changes to the aquatic ecosystems including elevated algae blooms and risk for hypoxia as well as degradation in the quality of drinking water and fisheries. Monitoring eutrophic processes is therefore highly important to human health and to the aquatic environment. However, the spatial and seasonal distribution of the phenomena and its dynamic are difficult to be resolved using conventional methods as water sampling or sparse acquisition of remote sensing data. This research work proposes a methodology that takes advantage of the high temporal resolution of Sentinel-2 (S2) for monitoring eutrophic reservoir. Specifically, it uses large temporal series of S2 images and advanced temporal unmixing model to estimate the abundance of [Chl-a] and algae species in San Roque reservoir, Argentina, in the period August 2016 to August 2019. The spatial patterns and the temporal tendencies of these aquatic indicators, that have a direct link to Eutrophication, were analysed and evaluated using in situ data in order to assess their contribution to the local water management.
Fil: German, Alba. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Ferral, Anabella. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Scavuzzo, Carlos Matias. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Shimoni, M.. Belgian Royal Military Academy; Bélgica
Materia
EUTROPHICATION
PHYTOPLANKTON
SENTINEL-2
MULTITEMPORAL
UNMIXING
TURBID WATER
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:11336/143886
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 imagesGerman, AlbaFerral, AnabellaScavuzzo, Carlos MatiasShimoni, M.EUTROPHICATIONPHYTOPLANKTONSENTINEL-2MULTITEMPORALUNMIXINGTURBID WATERhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Eutrophication is characterized by excessive plant and algal growth due to the increased of organic matter, carbon dioxide and nutrients in water body. Although eutrophication naturally occurs over centuries as lakes age, human activities have accelerated it processes and caused dramatic changes to the aquatic ecosystems including elevated algae blooms and risk for hypoxia as well as degradation in the quality of drinking water and fisheries. Monitoring eutrophic processes is therefore highly important to human health and to the aquatic environment. However, the spatial and seasonal distribution of the phenomena and its dynamic are difficult to be resolved using conventional methods as water sampling or sparse acquisition of remote sensing data. This research work proposes a methodology that takes advantage of the high temporal resolution of Sentinel-2 (S2) for monitoring eutrophic reservoir. Specifically, it uses large temporal series of S2 images and advanced temporal unmixing model to estimate the abundance of [Chl-a] and algae species in San Roque reservoir, Argentina, in the period August 2016 to August 2019. The spatial patterns and the temporal tendencies of these aquatic indicators, that have a direct link to Eutrophication, were analysed and evaluated using in situ data in order to assess their contribution to the local water management.Fil: German, Alba. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Ferral, Anabella. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Scavuzzo, Carlos Matias. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Shimoni, M.. Belgian Royal Military Academy; BélgicaCopernicus Publications2020-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/143886German, Alba; Ferral, Anabella; Scavuzzo, Carlos Matias; Shimoni, M.; Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images; Copernicus Publications; Isprs Journal of Photogrammetry and Remote Sensing; XLII; 11-2020; 147-1522194-90341682-1750CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/147/2020/info:eu-repo/semantics/altIdentifier/doi/10.5194/isprs-archives-XLII-3-W12-2020-147-2020info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:10Zoai:ri.conicet.gov.ar:11336/143886instacron: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 09:33:11.037CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
title Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
spellingShingle Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
German, Alba
EUTROPHICATION
PHYTOPLANKTON
SENTINEL-2
MULTITEMPORAL
UNMIXING
TURBID WATER
title_short Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
title_full Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
title_fullStr Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
title_full_unstemmed Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
title_sort Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
dc.creator.none.fl_str_mv German, Alba
Ferral, Anabella
Scavuzzo, Carlos Matias
Shimoni, M.
author German, Alba
author_facet German, Alba
Ferral, Anabella
Scavuzzo, Carlos Matias
Shimoni, M.
author_role author
author2 Ferral, Anabella
Scavuzzo, Carlos Matias
Shimoni, M.
author2_role author
author
author
dc.subject.none.fl_str_mv EUTROPHICATION
PHYTOPLANKTON
SENTINEL-2
MULTITEMPORAL
UNMIXING
TURBID WATER
topic EUTROPHICATION
PHYTOPLANKTON
SENTINEL-2
MULTITEMPORAL
UNMIXING
TURBID WATER
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Eutrophication is characterized by excessive plant and algal growth due to the increased of organic matter, carbon dioxide and nutrients in water body. Although eutrophication naturally occurs over centuries as lakes age, human activities have accelerated it processes and caused dramatic changes to the aquatic ecosystems including elevated algae blooms and risk for hypoxia as well as degradation in the quality of drinking water and fisheries. Monitoring eutrophic processes is therefore highly important to human health and to the aquatic environment. However, the spatial and seasonal distribution of the phenomena and its dynamic are difficult to be resolved using conventional methods as water sampling or sparse acquisition of remote sensing data. This research work proposes a methodology that takes advantage of the high temporal resolution of Sentinel-2 (S2) for monitoring eutrophic reservoir. Specifically, it uses large temporal series of S2 images and advanced temporal unmixing model to estimate the abundance of [Chl-a] and algae species in San Roque reservoir, Argentina, in the period August 2016 to August 2019. The spatial patterns and the temporal tendencies of these aquatic indicators, that have a direct link to Eutrophication, were analysed and evaluated using in situ data in order to assess their contribution to the local water management.
Fil: German, Alba. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Ferral, Anabella. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Scavuzzo, Carlos Matias. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Shimoni, M.. Belgian Royal Military Academy; Bélgica
description Eutrophication is characterized by excessive plant and algal growth due to the increased of organic matter, carbon dioxide and nutrients in water body. Although eutrophication naturally occurs over centuries as lakes age, human activities have accelerated it processes and caused dramatic changes to the aquatic ecosystems including elevated algae blooms and risk for hypoxia as well as degradation in the quality of drinking water and fisheries. Monitoring eutrophic processes is therefore highly important to human health and to the aquatic environment. However, the spatial and seasonal distribution of the phenomena and its dynamic are difficult to be resolved using conventional methods as water sampling or sparse acquisition of remote sensing data. This research work proposes a methodology that takes advantage of the high temporal resolution of Sentinel-2 (S2) for monitoring eutrophic reservoir. Specifically, it uses large temporal series of S2 images and advanced temporal unmixing model to estimate the abundance of [Chl-a] and algae species in San Roque reservoir, Argentina, in the period August 2016 to August 2019. The spatial patterns and the temporal tendencies of these aquatic indicators, that have a direct link to Eutrophication, were analysed and evaluated using in situ data in order to assess their contribution to the local water management.
publishDate 2020
dc.date.none.fl_str_mv 2020-11
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/11336/143886
German, Alba; Ferral, Anabella; Scavuzzo, Carlos Matias; Shimoni, M.; Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images; Copernicus Publications; Isprs Journal of Photogrammetry and Remote Sensing; XLII; 11-2020; 147-152
2194-9034
1682-1750
CONICET Digital
CONICET
url http://hdl.handle.net/11336/143886
identifier_str_mv German, Alba; Ferral, Anabella; Scavuzzo, Carlos Matias; Shimoni, M.; Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images; Copernicus Publications; Isprs Journal of Photogrammetry and Remote Sensing; XLII; 11-2020; 147-152
2194-9034
1682-1750
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.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/147/2020/
info:eu-repo/semantics/altIdentifier/doi/10.5194/isprs-archives-XLII-3-W12-2020-147-2020
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 Copernicus Publications
publisher.none.fl_str_mv Copernicus Publications
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_ 1844613017570902016
score 13.070432

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