Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system

Detalhes bibliográficos
Autor(a) principal: Andrade, Caroline [UNESP]
Data de Publicação: 2018
Outros Autores: Bernardo, Nariane [UNESP], Carmo, Alisson [UNESP], Alcantara, Enner [UNESP], Kampel, Milton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/1.JRS.12.036014
http://hdl.handle.net/11449/164602
Resumo: Several quasi-analytical algorithm (QAA) versions were developed to make it suitable for different inland water systems. QAA(BBHR) and QAA(OMW) were reparameterized based on two reservoirs from the Tiete River cascading system (Sao Paulo State, Brazil), which present widely differing compositions. Considering the purpose of monitoring the entire cascade through a unique QAA version, we aimed to assess the suitability of these two QAA versions and, in addition, another two QAA native forms (versions 5 and 6), for retrieving inherent optical properties (IOPs) in Ibitinga hydroelectric reservoir (IHR), situated in the same cascading system. In addition to that, we addressed bio-optical characterization of IHR, using spectral and water quality data collected in a field campaign conducted in July 2016. Wide spatial variability of optically significant constituent (OSC) in IHR and colored dissolved organic matter predominance in its absorption budget was observed. None of the tested QAA versions were completely suitable in retrieving absorption coefficients for IHR in all wavelengths. However, results for wavelengths commonly used as proxy for OSC concentration retrieval were satisfactory in some of the models. Therefore, the results obtained in this study shows that QAAs versions can be used for specific purposes (e.g., chlorophyll-a mapping), by employing the best model for IOPs retrieval at a specific wavelength. This highlights the challenge of copying with high optical variability in cascading systems. In this sense, further research is necessary, for either achieving a QAA reparameterized version appropriate for aquatic systems with widely differing optical properties or another analytical scheme. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
id UNSP_5093e5bcdb54729503cec0a16b8ce35c
oai_identifier_str oai:repositorio.unesp.br:11449/164602
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade systembio-optical modelswater qualitywater resources monitoringremotely sensed dataSeveral quasi-analytical algorithm (QAA) versions were developed to make it suitable for different inland water systems. QAA(BBHR) and QAA(OMW) were reparameterized based on two reservoirs from the Tiete River cascading system (Sao Paulo State, Brazil), which present widely differing compositions. Considering the purpose of monitoring the entire cascade through a unique QAA version, we aimed to assess the suitability of these two QAA versions and, in addition, another two QAA native forms (versions 5 and 6), for retrieving inherent optical properties (IOPs) in Ibitinga hydroelectric reservoir (IHR), situated in the same cascading system. In addition to that, we addressed bio-optical characterization of IHR, using spectral and water quality data collected in a field campaign conducted in July 2016. Wide spatial variability of optically significant constituent (OSC) in IHR and colored dissolved organic matter predominance in its absorption budget was observed. None of the tested QAA versions were completely suitable in retrieving absorption coefficients for IHR in all wavelengths. However, results for wavelengths commonly used as proxy for OSC concentration retrieval were satisfactory in some of the models. Therefore, the results obtained in this study shows that QAAs versions can be used for specific purposes (e.g., chlorophyll-a mapping), by employing the best model for IOPs retrieval at a specific wavelength. This highlights the challenge of copying with high optical variability in cascading systems. In this sense, further research is necessary, for either achieving a QAA reparameterized version appropriate for aquatic systems with widely differing optical properties or another analytical scheme. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Cartog, Presidente Prudente, BrazilSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, BrazilNatl Inst Space Res, Remote Sensing Div, Sao Jose Dos Campos, BrazilSao Paulo State Univ, Dept Cartog, Presidente Prudente, BrazilSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, BrazilFAPESP: 2012/19821-1FAPESP: 2015/21586-9Spie-soc Photo-optical Instrumentation EngineersUniversidade Estadual Paulista (Unesp)Natl Inst Space ResAndrade, Caroline [UNESP]Bernardo, Nariane [UNESP]Carmo, Alisson [UNESP]Alcantara, Enner [UNESP]Kampel, Milton2018-11-26T17:55:16Z2018-11-26T17:55:16Z2018-09-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://dx.doi.org/10.1117/1.JRS.12.036014Journal Of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 12, n. 3, 12 p., 2018.1931-3195http://hdl.handle.net/11449/16460210.1117/1.JRS.12.036014WOS:000443576800002WOS000443576800002.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Applied Remote Sensing0,441info:eu-repo/semantics/openAccess2024-06-18T15:01:38Zoai:repositorio.unesp.br:11449/164602Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:38Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
title Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
spellingShingle Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
Andrade, Caroline [UNESP]
bio-optical models
water quality
water resources monitoring
remotely sensed data
title_short Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
title_full Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
title_fullStr Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
title_full_unstemmed Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
title_sort Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
author Andrade, Caroline [UNESP]
author_facet Andrade, Caroline [UNESP]
Bernardo, Nariane [UNESP]
Carmo, Alisson [UNESP]
Alcantara, Enner [UNESP]
Kampel, Milton
author_role author
author2 Bernardo, Nariane [UNESP]
Carmo, Alisson [UNESP]
Alcantara, Enner [UNESP]
Kampel, Milton
author2_role author
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]
Bernardo, Nariane [UNESP]
Carmo, Alisson [UNESP]
Alcantara, Enner [UNESP]
Kampel, Milton
dc.subject.por.fl_str_mv bio-optical models
water quality
water resources monitoring
remotely sensed data
topic bio-optical models
water quality
water resources monitoring
remotely sensed data
description Several quasi-analytical algorithm (QAA) versions were developed to make it suitable for different inland water systems. QAA(BBHR) and QAA(OMW) were reparameterized based on two reservoirs from the Tiete River cascading system (Sao Paulo State, Brazil), which present widely differing compositions. Considering the purpose of monitoring the entire cascade through a unique QAA version, we aimed to assess the suitability of these two QAA versions and, in addition, another two QAA native forms (versions 5 and 6), for retrieving inherent optical properties (IOPs) in Ibitinga hydroelectric reservoir (IHR), situated in the same cascading system. In addition to that, we addressed bio-optical characterization of IHR, using spectral and water quality data collected in a field campaign conducted in July 2016. Wide spatial variability of optically significant constituent (OSC) in IHR and colored dissolved organic matter predominance in its absorption budget was observed. None of the tested QAA versions were completely suitable in retrieving absorption coefficients for IHR in all wavelengths. However, results for wavelengths commonly used as proxy for OSC concentration retrieval were satisfactory in some of the models. Therefore, the results obtained in this study shows that QAAs versions can be used for specific purposes (e.g., chlorophyll-a mapping), by employing the best model for IOPs retrieval at a specific wavelength. This highlights the challenge of copying with high optical variability in cascading systems. In this sense, further research is necessary, for either achieving a QAA reparameterized version appropriate for aquatic systems with widely differing optical properties or another analytical scheme. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
publishDate 2018
dc.date.none.fl_str_mv 2018-11-26T17:55:16Z
2018-11-26T17:55:16Z
2018-09-04
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/10.1117/1.JRS.12.036014
Journal Of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 12, n. 3, 12 p., 2018.
1931-3195
http://hdl.handle.net/11449/164602
10.1117/1.JRS.12.036014
WOS:000443576800002
WOS000443576800002.pdf
url http://dx.doi.org/10.1117/1.JRS.12.036014
http://hdl.handle.net/11449/164602
identifier_str_mv Journal Of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 12, n. 3, 12 p., 2018.
1931-3195
10.1117/1.JRS.12.036014
WOS:000443576800002
WOS000443576800002.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal Of Applied Remote Sensing
0,441
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12
application/pdf
dc.publisher.none.fl_str_mv Spie-soc Photo-optical Instrumentation Engineers
publisher.none.fl_str_mv Spie-soc Photo-optical Instrumentation Engineers
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_ 1803045368679628800