An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.asr.2018.12.023 http://hdl.handle.net/11449/185589 |
Resumo: | Monitoring chlorophyll-a (Chl-a) concentrations in inland waters is crucial for water quality management, since Chl-a is a proxy for phytoplankton biomass and, thus, for ecological health of a water environment. Chl-a concentration can be retrieved through the inherent optical properties (IOPs) of a water system, which, in turn, can be remotely sensed obtained. Quasi-analytical algorithm (QAA), originally developed for ocean waters, can also retrieve IOPs for inland waters after re-parameterizations. This study is aimed at assessing the performance of sixteen schemes composed by QAA original and re-parameterized versions followed by models that use absorption coefficients as inputs for estimating Chl-a concentration in Ibitinga reservoir, located at Tiete River cascading system, Sao Paulo State, Brazil. It was verified that only QAA(v5) based schemes were able to obtain reasonable estimates for image data and that by four models tested presented similar and acceptable results for QAA(v5) outputs. The best model were applied to a Ocean and Land Colour Instrument (OLCI) image. Light absorption in the reservoir showed to be dominated by colored dissolved organic matter (CDOM), and wide spatial and temporal variability of optical and water quality properties was observed. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved. |
id |
UNSP_06bedf5fc1e75904cb379cba518f197a |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/185589 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoirTrophic statusWater quality monitoringInland waterSatellite dataMonitoring chlorophyll-a (Chl-a) concentrations in inland waters is crucial for water quality management, since Chl-a is a proxy for phytoplankton biomass and, thus, for ecological health of a water environment. Chl-a concentration can be retrieved through the inherent optical properties (IOPs) of a water system, which, in turn, can be remotely sensed obtained. Quasi-analytical algorithm (QAA), originally developed for ocean waters, can also retrieve IOPs for inland waters after re-parameterizations. This study is aimed at assessing the performance of sixteen schemes composed by QAA original and re-parameterized versions followed by models that use absorption coefficients as inputs for estimating Chl-a concentration in Ibitinga reservoir, located at Tiete River cascading system, Sao Paulo State, Brazil. It was verified that only QAA(v5) based schemes were able to obtain reasonable estimates for image data and that by four models tested presented similar and acceptable results for QAA(v5) outputs. The best model were applied to a Ocean and Land Colour Instrument (OLCI) image. Light absorption in the reservoir showed to be dominated by colored dissolved organic matter (CDOM), and wide spatial and temporal variability of optical and water quality properties was observed. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Cartog, Presidente Prudente, SP, BrazilSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilSao Paulo State Univ, Dept Cartog, Presidente Prudente, SP, BrazilSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, SP, BrazilFAPESP: 2012/19821-1FAPESP: 2015/21586-9Elsevier B.V.Universidade Estadual Paulista (Unesp)Natl Inst Space ResAndrade, Caroline [UNESP]Alcantara, Enner [UNESP]Bernardo, Nariane [UNESP]Kampel, Milton2019-10-04T12:36:48Z2019-10-04T12:36:48Z2019-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2175-2188http://dx.doi.org/10.1016/j.asr.2018.12.023Advances In Space Research. Oxford: Elsevier Sci Ltd, v. 63, n. 7, p. 2175-2188, 2019.0273-1177http://hdl.handle.net/11449/18558910.1016/j.asr.2018.12.023WOS:000463131800017Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAdvances In Space Researchinfo:eu-repo/semantics/openAccess2024-06-18T15:01:08Zoai:repositorio.unesp.br:11449/185589Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir |
title |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir |
spellingShingle |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir Andrade, Caroline [UNESP] Trophic status Water quality monitoring Inland water Satellite data |
title_short |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir |
title_full |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir |
title_fullStr |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir |
title_full_unstemmed |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir |
title_sort |
An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir |
author |
Andrade, Caroline [UNESP] |
author_facet |
Andrade, Caroline [UNESP] Alcantara, Enner [UNESP] Bernardo, Nariane [UNESP] Kampel, Milton |
author_role |
author |
author2 |
Alcantara, Enner [UNESP] Bernardo, Nariane [UNESP] Kampel, Milton |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Natl Inst Space Res |
dc.contributor.author.fl_str_mv |
Andrade, Caroline [UNESP] Alcantara, Enner [UNESP] Bernardo, Nariane [UNESP] Kampel, Milton |
dc.subject.por.fl_str_mv |
Trophic status Water quality monitoring Inland water Satellite data |
topic |
Trophic status Water quality monitoring Inland water Satellite data |
description |
Monitoring chlorophyll-a (Chl-a) concentrations in inland waters is crucial for water quality management, since Chl-a is a proxy for phytoplankton biomass and, thus, for ecological health of a water environment. Chl-a concentration can be retrieved through the inherent optical properties (IOPs) of a water system, which, in turn, can be remotely sensed obtained. Quasi-analytical algorithm (QAA), originally developed for ocean waters, can also retrieve IOPs for inland waters after re-parameterizations. This study is aimed at assessing the performance of sixteen schemes composed by QAA original and re-parameterized versions followed by models that use absorption coefficients as inputs for estimating Chl-a concentration in Ibitinga reservoir, located at Tiete River cascading system, Sao Paulo State, Brazil. It was verified that only QAA(v5) based schemes were able to obtain reasonable estimates for image data and that by four models tested presented similar and acceptable results for QAA(v5) outputs. The best model were applied to a Ocean and Land Colour Instrument (OLCI) image. Light absorption in the reservoir showed to be dominated by colored dissolved organic matter (CDOM), and wide spatial and temporal variability of optical and water quality properties was observed. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-04T12:36:48Z 2019-10-04T12:36:48Z 2019-04-01 |
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/10.1016/j.asr.2018.12.023 Advances In Space Research. Oxford: Elsevier Sci Ltd, v. 63, n. 7, p. 2175-2188, 2019. 0273-1177 http://hdl.handle.net/11449/185589 10.1016/j.asr.2018.12.023 WOS:000463131800017 |
url |
http://dx.doi.org/10.1016/j.asr.2018.12.023 http://hdl.handle.net/11449/185589 |
identifier_str_mv |
Advances In Space Research. Oxford: Elsevier Sci Ltd, v. 63, n. 7, p. 2175-2188, 2019. 0273-1177 10.1016/j.asr.2018.12.023 WOS:000463131800017 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Advances In Space Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2175-2188 |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
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 |
|
_version_ |
1803045248915472384 |