Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Thanan [UNESP]
Data de Publicação: 2018
Outros Autores: Mishra, Deepak R., Alcântara, Enner [UNESP], Astuti, Ike, Watanabe, Fernanda [UNESP], Imai, Nilton [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/w10040449
http://hdl.handle.net/11449/176152
Resumo: Many studies over the years have focused on bio-optical modeling of inland waters to monitor water quality. However, those studies have been conducted mainly in eutrophic and hyper-eutrophic environments dominated by phytoplankton. With the launch of the Ocean and Land Colour Instrument (OLCI)/Sentinel-3A in 2016, a range of bands became available including the 709 nm band recommended for scaling up these bio-optical models for productive inland waters. It was found that one category of existing bio-optical models, the quasi-analytical algorithms (QAAs), when applied to colored dissolved organic matter (CDOM) and detritus-dominated waters, produce large errors. Even after shifting the reference wavelength to 709 nm, the recently re-parameterized QAA versions could not accurately retrieve the inherent optical properties (IOPs) in waterbodies dominated by inorganic matter. In this study, three existing versions of QAA were implemented and proved inefficient for the study site. Therefore, several changes were incorporated into the QAA, starting with the re-parameterization of the empirical steps related to the total absorption coefficient retrieval. The re-parameterized QAA, QAAOMW showed a significant improvement in the mean absolute percentage error (MAPE). MAPE decreased from 58.05% for existing open ocean QAA (QAALv5) to 16.35% for QAAOMW. Considerable improvement was also observed in the estimation of the absorption coefficient of CDOM and detritus from a MAPE of 91.05% for QAALv5 to 18.87% for QAAOMW. The retrieval of the absorption coefficient of phytoplankton (aϕ) using the native form of QAA proved to be inaccurate for the oligo-to-mesotrophic waterbody due to the low aϕ returning negative predictions. Therefore, a novel approach based on the normalized aϕ was adopted to maintain the spectral shape and retrieve positive values, resulting in an improvement of 119% in QAAOMW. Further tuning and scale-up of QAAOMW to OLCI bands will aid in monitoring water resources and associated watershed processes.
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spelling Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland watersBio-opticsBrazilian reservoirInherent optical propertiesInland watersQuasi-analytical algorithmWater qualityMany studies over the years have focused on bio-optical modeling of inland waters to monitor water quality. However, those studies have been conducted mainly in eutrophic and hyper-eutrophic environments dominated by phytoplankton. With the launch of the Ocean and Land Colour Instrument (OLCI)/Sentinel-3A in 2016, a range of bands became available including the 709 nm band recommended for scaling up these bio-optical models for productive inland waters. It was found that one category of existing bio-optical models, the quasi-analytical algorithms (QAAs), when applied to colored dissolved organic matter (CDOM) and detritus-dominated waters, produce large errors. Even after shifting the reference wavelength to 709 nm, the recently re-parameterized QAA versions could not accurately retrieve the inherent optical properties (IOPs) in waterbodies dominated by inorganic matter. In this study, three existing versions of QAA were implemented and proved inefficient for the study site. Therefore, several changes were incorporated into the QAA, starting with the re-parameterization of the empirical steps related to the total absorption coefficient retrieval. The re-parameterized QAA, QAAOMW showed a significant improvement in the mean absolute percentage error (MAPE). MAPE decreased from 58.05% for existing open ocean QAA (QAALv5) to 16.35% for QAAOMW. Considerable improvement was also observed in the estimation of the absorption coefficient of CDOM and detritus from a MAPE of 91.05% for QAALv5 to 18.87% for QAAOMW. The retrieval of the absorption coefficient of phytoplankton (aϕ) using the native form of QAA proved to be inaccurate for the oligo-to-mesotrophic waterbody due to the low aϕ returning negative predictions. Therefore, a novel approach based on the normalized aϕ was adopted to maintain the spectral shape and retrieve positive values, resulting in an improvement of 119% in QAAOMW. Further tuning and scale-up of QAAOMW to OLCI bands will aid in monitoring water resources and associated watershed processes.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Cartography Faculty of Sciences and Technology São Paulo State University (UNESP), Rua Roberto Simonsen 305Department of Geography Center for Geospatial Research University of Georgia (UGA)Department of Environmental Engineering Institute of Science and Technology São Paulo State University (UNESP), Rodovia Presidente Dutra Km 137.8Department of Geography State University of Malang (UM), Jl. Semarang 5Department of Cartography Faculty of Sciences and Technology São Paulo State University (UNESP), Rua Roberto Simonsen 305Department of Environmental Engineering Institute of Science and Technology São Paulo State University (UNESP), Rodovia Presidente Dutra Km 137.8FAPESP: 2012/19821-1Universidade Estadual Paulista (Unesp)University of Georgia (UGA)State University of Malang (UM)Rodrigues, Thanan [UNESP]Mishra, Deepak R.Alcântara, Enner [UNESP]Astuti, IkeWatanabe, Fernanda [UNESP]Imai, Nilton [UNESP]2018-12-11T17:19:17Z2018-12-11T17:19:17Z2018-04-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.3390/w10040449Water (Switzerland), v. 10, n. 4, 2018.2073-4441http://hdl.handle.net/11449/17615210.3390/w100404492-s2.0-850450822922-s2.0-85045082292.pdf66913103944104900000-0002-8077-2865Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengWater (Switzerland)0,634info:eu-repo/semantics/openAccess2024-06-18T15:01:02Zoai:repositorio.unesp.br:11449/176152Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:36:33.529291Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
title Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
spellingShingle Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
Rodrigues, Thanan [UNESP]
Bio-optics
Brazilian reservoir
Inherent optical properties
Inland waters
Quasi-analytical algorithm
Water quality
title_short Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
title_full Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
title_fullStr Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
title_full_unstemmed Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
title_sort Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
author Rodrigues, Thanan [UNESP]
author_facet Rodrigues, Thanan [UNESP]
Mishra, Deepak R.
Alcântara, Enner [UNESP]
Astuti, Ike
Watanabe, Fernanda [UNESP]
Imai, Nilton [UNESP]
author_role author
author2 Mishra, Deepak R.
Alcântara, Enner [UNESP]
Astuti, Ike
Watanabe, Fernanda [UNESP]
Imai, Nilton [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
University of Georgia (UGA)
State University of Malang (UM)
dc.contributor.author.fl_str_mv Rodrigues, Thanan [UNESP]
Mishra, Deepak R.
Alcântara, Enner [UNESP]
Astuti, Ike
Watanabe, Fernanda [UNESP]
Imai, Nilton [UNESP]
dc.subject.por.fl_str_mv Bio-optics
Brazilian reservoir
Inherent optical properties
Inland waters
Quasi-analytical algorithm
Water quality
topic Bio-optics
Brazilian reservoir
Inherent optical properties
Inland waters
Quasi-analytical algorithm
Water quality
description Many studies over the years have focused on bio-optical modeling of inland waters to monitor water quality. However, those studies have been conducted mainly in eutrophic and hyper-eutrophic environments dominated by phytoplankton. With the launch of the Ocean and Land Colour Instrument (OLCI)/Sentinel-3A in 2016, a range of bands became available including the 709 nm band recommended for scaling up these bio-optical models for productive inland waters. It was found that one category of existing bio-optical models, the quasi-analytical algorithms (QAAs), when applied to colored dissolved organic matter (CDOM) and detritus-dominated waters, produce large errors. Even after shifting the reference wavelength to 709 nm, the recently re-parameterized QAA versions could not accurately retrieve the inherent optical properties (IOPs) in waterbodies dominated by inorganic matter. In this study, three existing versions of QAA were implemented and proved inefficient for the study site. Therefore, several changes were incorporated into the QAA, starting with the re-parameterization of the empirical steps related to the total absorption coefficient retrieval. The re-parameterized QAA, QAAOMW showed a significant improvement in the mean absolute percentage error (MAPE). MAPE decreased from 58.05% for existing open ocean QAA (QAALv5) to 16.35% for QAAOMW. Considerable improvement was also observed in the estimation of the absorption coefficient of CDOM and detritus from a MAPE of 91.05% for QAALv5 to 18.87% for QAAOMW. The retrieval of the absorption coefficient of phytoplankton (aϕ) using the native form of QAA proved to be inaccurate for the oligo-to-mesotrophic waterbody due to the low aϕ returning negative predictions. Therefore, a novel approach based on the normalized aϕ was adopted to maintain the spectral shape and retrieve positive values, resulting in an improvement of 119% in QAAOMW. Further tuning and scale-up of QAAOMW to OLCI bands will aid in monitoring water resources and associated watershed processes.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T17:19:17Z
2018-12-11T17:19:17Z
2018-04-09
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/10.3390/w10040449
Water (Switzerland), v. 10, n. 4, 2018.
2073-4441
http://hdl.handle.net/11449/176152
10.3390/w10040449
2-s2.0-85045082292
2-s2.0-85045082292.pdf
6691310394410490
0000-0002-8077-2865
url http://dx.doi.org/10.3390/w10040449
http://hdl.handle.net/11449/176152
identifier_str_mv Water (Switzerland), v. 10, n. 4, 2018.
2073-4441
10.3390/w10040449
2-s2.0-85045082292
2-s2.0-85045082292.pdf
6691310394410490
0000-0002-8077-2865
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Water (Switzerland)
0,634
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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
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