Assessment of quasi-analytical algorithm for estimating the inherent optical properties in a complex cascade system
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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) |
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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 |
|
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1803045368679628800 |