Optical water types found in Brazilian waters
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s10201-020-00633-z http://hdl.handle.net/11449/197057 |
Resumo: | Optical water types (OWTs) can represent diverse ranges of Chlorophyll-a (Chl-a), total suspended matter (TSM), and colored dissolved organic matter (CDOM) concentrations, which make them extremely useful for monitoring water quality, for example, detecting eutrophic conditions or tuning remote sensing algorithms. In this study, the objective is to assess OWTs found in Brazilian waters using in situ remote sensing reflectance (R-rs), acquired for water bodies encompassing a wide range of optical characteristics. Eight OWTs are obtained based on R-rs spectral shape and magnitude, which represent different limnological characteristics of Brazilian waters. The OWT 1 is clear waters with low TSM, Chl-a, and CDOM (median ((x) over tilde): TSM of 2.64 g m(-3), Chl-a of 6.04 mg m(-3), and CDOM of 0.6 m(-1)); OWT 2 represents moderate turbid waters (TSM (x) over tilde: 5.14); OWTs 3, 4, and 5 are characterized by waters with high Chl-a concentration ((x) over tilde: 33.1, 39.6, and 180.4 mg m(-3), respectively); OWT 6 is characterized with the highest CDOM concentration ((x) over tilde: 4.07 m(-1)); OWTs 7 and 8 consist of waters with the highest TSM concentrations from terrestrial input ((x) over tilde: 19.55 and 93.25, respectively). Hence, those OWTs could support satellite monitoring by helping to tune algorithms and also providing wide spatial-temporal monitoring. |
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Optical water types found in Brazilian watersHyperspectralOptical propertiesClassificationOptical water types (OWTs) can represent diverse ranges of Chlorophyll-a (Chl-a), total suspended matter (TSM), and colored dissolved organic matter (CDOM) concentrations, which make them extremely useful for monitoring water quality, for example, detecting eutrophic conditions or tuning remote sensing algorithms. In this study, the objective is to assess OWTs found in Brazilian waters using in situ remote sensing reflectance (R-rs), acquired for water bodies encompassing a wide range of optical characteristics. Eight OWTs are obtained based on R-rs spectral shape and magnitude, which represent different limnological characteristics of Brazilian waters. The OWT 1 is clear waters with low TSM, Chl-a, and CDOM (median ((x) over tilde): TSM of 2.64 g m(-3), Chl-a of 6.04 mg m(-3), and CDOM of 0.6 m(-1)); OWT 2 represents moderate turbid waters (TSM (x) over tilde: 5.14); OWTs 3, 4, and 5 are characterized by waters with high Chl-a concentration ((x) over tilde: 33.1, 39.6, and 180.4 mg m(-3), respectively); OWT 6 is characterized with the highest CDOM concentration ((x) over tilde: 4.07 m(-1)); OWTs 7 and 8 consist of waters with the highest TSM concentrations from terrestrial input ((x) over tilde: 19.55 and 93.25, respectively). Hence, those OWTs could support satellite monitoring by helping to tune algorithms and also providing wide spatial-temporal monitoring.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Monitoramento Ambiental por Satelites no Bioma Amazonia-Banco Nacional de Desenvolvimento Economico e Social (MSA-BNDES)Natl Inst Space Res, Remote Sensing Div, Sao Jose Dos Campos, BrazilUniv Fed Pelotas, CDTec, Pelotas, RS, BrazilNatl Inst Space Res, Image Proc Div, Sao Jose Dos Campos, BrazilUniv Fed Parana, Ctr Marine Studies, Pontal Do Parana, BrazilSao Paulo State Univ, Dept Cartog, Presidente Prudente, BrazilSao Paulo State Univ, Dept Cartog, Presidente Prudente, BrazilCAPES: 001FAPESP: 2014/23903-9FAPESP: 2013/09045-7FAPESP: 2012/19821-1FAPESP: 2008/56252-0Monitoramento Ambiental por Satelites no Bioma Amazonia-Banco Nacional de Desenvolvimento Economico e Social (MSA-BNDES): 1022114003005SpringerNatl Inst Space ResUniv Fed PelotasUniv Fed ParanaUniversidade Estadual Paulista (Unesp)Silva, Edson Filisbino Freire daNovo, Evlyn Marcia Leao de MoraesLobo, Felipe de LuciaBarbosa, Claudio Clemente FariaNoernberg, Mauricio AlmeidaRotta, Luiz Henrique da Silva [UNESP]Cairo, Carolline TressmannMaciel, Daniel AndradeFlores Junior, Rogerio2020-12-10T20:04:51Z2020-12-10T20:04:51Z2020-07-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12http://dx.doi.org/10.1007/s10201-020-00633-zLimnology. Tokyo: Springer Japan Kk, 12 p., 2020.1439-8621http://hdl.handle.net/11449/19705710.1007/s10201-020-00633-zWOS:000546837700001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLimnologyinfo:eu-repo/semantics/openAccess2024-06-18T15:01:40Zoai:repositorio.unesp.br:11449/197057Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:40Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optical water types found in Brazilian waters |
title |
Optical water types found in Brazilian waters |
spellingShingle |
Optical water types found in Brazilian waters Silva, Edson Filisbino Freire da Hyperspectral Optical properties Classification |
title_short |
Optical water types found in Brazilian waters |
title_full |
Optical water types found in Brazilian waters |
title_fullStr |
Optical water types found in Brazilian waters |
title_full_unstemmed |
Optical water types found in Brazilian waters |
title_sort |
Optical water types found in Brazilian waters |
author |
Silva, Edson Filisbino Freire da |
author_facet |
Silva, Edson Filisbino Freire da Novo, Evlyn Marcia Leao de Moraes Lobo, Felipe de Lucia Barbosa, Claudio Clemente Faria Noernberg, Mauricio Almeida Rotta, Luiz Henrique da Silva [UNESP] Cairo, Carolline Tressmann Maciel, Daniel Andrade Flores Junior, Rogerio |
author_role |
author |
author2 |
Novo, Evlyn Marcia Leao de Moraes Lobo, Felipe de Lucia Barbosa, Claudio Clemente Faria Noernberg, Mauricio Almeida Rotta, Luiz Henrique da Silva [UNESP] Cairo, Carolline Tressmann Maciel, Daniel Andrade Flores Junior, Rogerio |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Natl Inst Space Res Univ Fed Pelotas Univ Fed Parana Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Silva, Edson Filisbino Freire da Novo, Evlyn Marcia Leao de Moraes Lobo, Felipe de Lucia Barbosa, Claudio Clemente Faria Noernberg, Mauricio Almeida Rotta, Luiz Henrique da Silva [UNESP] Cairo, Carolline Tressmann Maciel, Daniel Andrade Flores Junior, Rogerio |
dc.subject.por.fl_str_mv |
Hyperspectral Optical properties Classification |
topic |
Hyperspectral Optical properties Classification |
description |
Optical water types (OWTs) can represent diverse ranges of Chlorophyll-a (Chl-a), total suspended matter (TSM), and colored dissolved organic matter (CDOM) concentrations, which make them extremely useful for monitoring water quality, for example, detecting eutrophic conditions or tuning remote sensing algorithms. In this study, the objective is to assess OWTs found in Brazilian waters using in situ remote sensing reflectance (R-rs), acquired for water bodies encompassing a wide range of optical characteristics. Eight OWTs are obtained based on R-rs spectral shape and magnitude, which represent different limnological characteristics of Brazilian waters. The OWT 1 is clear waters with low TSM, Chl-a, and CDOM (median ((x) over tilde): TSM of 2.64 g m(-3), Chl-a of 6.04 mg m(-3), and CDOM of 0.6 m(-1)); OWT 2 represents moderate turbid waters (TSM (x) over tilde: 5.14); OWTs 3, 4, and 5 are characterized by waters with high Chl-a concentration ((x) over tilde: 33.1, 39.6, and 180.4 mg m(-3), respectively); OWT 6 is characterized with the highest CDOM concentration ((x) over tilde: 4.07 m(-1)); OWTs 7 and 8 consist of waters with the highest TSM concentrations from terrestrial input ((x) over tilde: 19.55 and 93.25, respectively). Hence, those OWTs could support satellite monitoring by helping to tune algorithms and also providing wide spatial-temporal monitoring. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-10T20:04:51Z 2020-12-10T20:04:51Z 2020-07-09 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s10201-020-00633-z Limnology. Tokyo: Springer Japan Kk, 12 p., 2020. 1439-8621 http://hdl.handle.net/11449/197057 10.1007/s10201-020-00633-z WOS:000546837700001 |
url |
http://dx.doi.org/10.1007/s10201-020-00633-z http://hdl.handle.net/11449/197057 |
identifier_str_mv |
Limnology. Tokyo: Springer Japan Kk, 12 p., 2020. 1439-8621 10.1007/s10201-020-00633-z WOS:000546837700001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Limnology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
12 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science 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 |
|
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1803045455773302784 |