Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir

Detalhes bibliográficos
Autor(a) principal: Curtarelli, M. P.
Data de Publicação: 2014
Outros Autores: Ogashawara, I., Alcantara, E. H. [UNESP], Lorenzzetti, J. A., Stech, J. L.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IGARSS.2014.6946568
http://hdl.handle.net/11449/227889
Resumo: We assessed the spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir during the Austral wintertime using images acquired by the Operational Land Imager (OLI) sensor on board the Landsat 8 satellite. We used the Spectral Angle Mapper (SAM) algorithm and reference in situ spectra to classify the OLI images according to a trophic state index (TSI). The results showed that the use of OLI images and the SAM algorithm were suitable for the mapping of the TSI in the Amazonian reservoirs. In our particular case, the reservoir presented a high spatial and temporal heterogeneity in the TSI during the studied period. However, further studies are needed to better characterize the dynamics of the trophic state and its driven forces.
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spelling Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoirAmazonhydroelectric reservoirremote sensingspectral angle mappertrophic state indexWe assessed the spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir during the Austral wintertime using images acquired by the Operational Land Imager (OLI) sensor on board the Landsat 8 satellite. We used the Spectral Angle Mapper (SAM) algorithm and reference in situ spectra to classify the OLI images according to a trophic state index (TSI). The results showed that the use of OLI images and the SAM algorithm were suitable for the mapping of the TSI in the Amazonian reservoirs. In our particular case, the reservoir presented a high spatial and temporal heterogeneity in the TSI during the studied period. However, further studies are needed to better characterize the dynamics of the trophic state and its driven forces.National Institute for Space Research, Remote Sensing DivisionSão Paulo State University, Department of CartographySão Paulo State University, Department of CartographyNational Institute for Space Research, Remote Sensing DivisionUniversidade Estadual Paulista (UNESP)Curtarelli, M. P.Ogashawara, I.Alcantara, E. H. [UNESP]Lorenzzetti, J. A.Stech, J. L.2022-04-29T07:21:48Z2022-04-29T07:21:48Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject890-893http://dx.doi.org/10.1109/IGARSS.2014.6946568International Geoscience and Remote Sensing Symposium (IGARSS), p. 890-893.http://hdl.handle.net/11449/22788910.1109/IGARSS.2014.69465682-s2.0-84911435086Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Geoscience and Remote Sensing Symposium (IGARSS)info:eu-repo/semantics/openAccess2024-06-18T15:02:40Zoai:repositorio.unesp.br:11449/227889Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:05:21.081228Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
title Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
spellingShingle Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
Curtarelli, M. P.
Amazon
hydroelectric reservoir
remote sensing
spectral angle mapper
trophic state index
title_short Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
title_full Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
title_fullStr Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
title_full_unstemmed Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
title_sort Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir
author Curtarelli, M. P.
author_facet Curtarelli, M. P.
Ogashawara, I.
Alcantara, E. H. [UNESP]
Lorenzzetti, J. A.
Stech, J. L.
author_role author
author2 Ogashawara, I.
Alcantara, E. H. [UNESP]
Lorenzzetti, J. A.
Stech, J. L.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv National Institute for Space Research, Remote Sensing Division
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Curtarelli, M. P.
Ogashawara, I.
Alcantara, E. H. [UNESP]
Lorenzzetti, J. A.
Stech, J. L.
dc.subject.por.fl_str_mv Amazon
hydroelectric reservoir
remote sensing
spectral angle mapper
trophic state index
topic Amazon
hydroelectric reservoir
remote sensing
spectral angle mapper
trophic state index
description We assessed the spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir during the Austral wintertime using images acquired by the Operational Land Imager (OLI) sensor on board the Landsat 8 satellite. We used the Spectral Angle Mapper (SAM) algorithm and reference in situ spectra to classify the OLI images according to a trophic state index (TSI). The results showed that the use of OLI images and the SAM algorithm were suitable for the mapping of the TSI in the Amazonian reservoirs. In our particular case, the reservoir presented a high spatial and temporal heterogeneity in the TSI during the studied period. However, further studies are needed to better characterize the dynamics of the trophic state and its driven forces.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2022-04-29T07:21:48Z
2022-04-29T07:21:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/IGARSS.2014.6946568
International Geoscience and Remote Sensing Symposium (IGARSS), p. 890-893.
http://hdl.handle.net/11449/227889
10.1109/IGARSS.2014.6946568
2-s2.0-84911435086
url http://dx.doi.org/10.1109/IGARSS.2014.6946568
http://hdl.handle.net/11449/227889
identifier_str_mv International Geoscience and Remote Sensing Symposium (IGARSS), p. 890-893.
10.1109/IGARSS.2014.6946568
2-s2.0-84911435086
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Geoscience and Remote Sensing Symposium (IGARSS)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 890-893
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129283060662272

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