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dc.contributor.author
German, Alba
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dc.contributor.author
Ferral, Anabella
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dc.contributor.author
Scavuzzo, Carlos Matias
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dc.contributor.author
Shimoni, M.
dc.date.available
2021-10-15T17:46:38Z
dc.date.issued
2020-11
dc.identifier.citation
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
dc.identifier.issn
2194-9034
dc.identifier.uri
http://hdl.handle.net/11336/143886
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Copernicus Publications
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
EUTROPHICATION
dc.subject
PHYTOPLANKTON
dc.subject
SENTINEL-2
dc.subject
MULTITEMPORAL
dc.subject
UNMIXING
dc.subject
TURBID WATER
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Multitemporal spectral analysis for algae detection in an eutrophic lake using Sentinel 2 images
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-29T14:42:57Z
dc.identifier.eissn
1682-1750
dc.journal.volume
XLII
dc.journal.pagination
147-152
dc.journal.pais
Alemania
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dc.journal.ciudad
Göttingen
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
Fil: Shimoni, M.. Belgian Royal Military Academy; Bélgica
dc.journal.title
Isprs Journal of Photogrammetry and Remote Sensing
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/147/2020/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5194/isprs-archives-XLII-3-W12-2020-147-2020
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