Estimating the optical properties of inorganic matter-dominated oligo-to-mesotrophic inland waters
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/10.3390/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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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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1808128254282825728 |