Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction

Detalhes bibliográficos
Autor(a) principal: Coelho do Carmo, Alisson Fernando [UNESP]
Data de Publicação: 2020
Outros Autores: Shimabukuro, Milton Hirokazu [UNESP], Imai, Nilton Nobuhiro [UNESP], Ribeiro Bernardo, Nariane Marselhe [UNESP], Yoshino Watanabe, Fernanda Sayuri [UNESP], Herênio de Alcântara, Enner [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.cageo.2020.104559
http://hdl.handle.net/11449/200877
Resumo: Field surveys are an important source of data for several scientific studies. Hydrological optics investigations require a large amount of optical data acquired using sensors from distinct manufacturers built with specific technologies. Consequently, rapid and integrated processing can be difficult due to several challenges, such as non-standard outputs, multidimensional resolutions of data (spatial, temporal, and spectral), mismatched sampling, sensor-specific corrections, and manufacturer proprietary software. In this context, we propose a procedure to overcome the drawbacks of processing multisource and multidimensional datasets. Our main goal is to provide a platform that integrates and analyzes datasets acquired from five sensors commonly used by the hydrological optics community. We can summarize the contribution of this work with three resources: a management model for datasets from field surveys, a processing workflow that describes all the correction steps by grouping protocols to integrate data, and an online system, Aquopts, which is a resources for storage, integration, correction, processing, and analysis. Aquopts has provided resources that have been used in several published studies in recognized geoscience journals supported by our rapid delivering system and integrated dataset processing.
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spelling Aquopts: A multisource processing system for multidimensional bio-optical data integration and correctionBio-optical propertiesMultidimensional representationMultisource dataQuality controlSensors data integrationField surveys are an important source of data for several scientific studies. Hydrological optics investigations require a large amount of optical data acquired using sensors from distinct manufacturers built with specific technologies. Consequently, rapid and integrated processing can be difficult due to several challenges, such as non-standard outputs, multidimensional resolutions of data (spatial, temporal, and spectral), mismatched sampling, sensor-specific corrections, and manufacturer proprietary software. In this context, we propose a procedure to overcome the drawbacks of processing multisource and multidimensional datasets. Our main goal is to provide a platform that integrates and analyzes datasets acquired from five sensors commonly used by the hydrological optics community. We can summarize the contribution of this work with three resources: a management model for datasets from field surveys, a processing workflow that describes all the correction steps by grouping protocols to integrate data, and an online system, Aquopts, which is a resources for storage, integration, correction, processing, and analysis. Aquopts has provided resources that have been used in several published studies in recognized geoscience journals supported by our rapid delivering system and integrated dataset processing.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)São Paulo State University (UNESP) School of Sciences and Technology (FCT) Graduate Program of Cartographic Sciences, Campus Presidente PrudenteSão Paulo State University (UNESP) Institute of Sciences and Technology (ICT) Department of Environmental Engineering, Campus São José dos CamposSão Paulo State University (UNESP) School of Sciences and Technology (FCT) Graduate Program of Cartographic Sciences, Campus Presidente PrudenteSão Paulo State University (UNESP) Institute of Sciences and Technology (ICT) Department of Environmental Engineering, Campus São José dos CamposCNPq: 141909/2015-3FAPESP: 2012/19821-1FAPESP: 2019/00259-0CNPq: 400881/2013-6CNPq: 472131/2012-5CNPq: CNPqUniversidade Estadual Paulista (Unesp)Coelho do Carmo, Alisson Fernando [UNESP]Shimabukuro, Milton Hirokazu [UNESP]Imai, Nilton Nobuhiro [UNESP]Ribeiro Bernardo, Nariane Marselhe [UNESP]Yoshino Watanabe, Fernanda Sayuri [UNESP]Herênio de Alcântara, Enner [UNESP]2020-12-12T02:18:26Z2020-12-12T02:18:26Z2020-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.cageo.2020.104559Computers and Geosciences, v. 143.0098-3004http://hdl.handle.net/11449/20087710.1016/j.cageo.2020.1045592-s2.0-85089239069118419553681480629857711025053300000-0003-0516-0567Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputers and Geosciencesinfo:eu-repo/semantics/openAccess2024-06-18T15:01:39Zoai:repositorio.unesp.br:11449/200877Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:39Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
title Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
spellingShingle Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
Coelho do Carmo, Alisson Fernando [UNESP]
Bio-optical properties
Multidimensional representation
Multisource data
Quality control
Sensors data integration
title_short Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
title_full Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
title_fullStr Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
title_full_unstemmed Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
title_sort Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
author Coelho do Carmo, Alisson Fernando [UNESP]
author_facet Coelho do Carmo, Alisson Fernando [UNESP]
Shimabukuro, Milton Hirokazu [UNESP]
Imai, Nilton Nobuhiro [UNESP]
Ribeiro Bernardo, Nariane Marselhe [UNESP]
Yoshino Watanabe, Fernanda Sayuri [UNESP]
Herênio de Alcântara, Enner [UNESP]
author_role author
author2 Shimabukuro, Milton Hirokazu [UNESP]
Imai, Nilton Nobuhiro [UNESP]
Ribeiro Bernardo, Nariane Marselhe [UNESP]
Yoshino Watanabe, Fernanda Sayuri [UNESP]
Herênio de Alcântara, Enner [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Coelho do Carmo, Alisson Fernando [UNESP]
Shimabukuro, Milton Hirokazu [UNESP]
Imai, Nilton Nobuhiro [UNESP]
Ribeiro Bernardo, Nariane Marselhe [UNESP]
Yoshino Watanabe, Fernanda Sayuri [UNESP]
Herênio de Alcântara, Enner [UNESP]
dc.subject.por.fl_str_mv Bio-optical properties
Multidimensional representation
Multisource data
Quality control
Sensors data integration
topic Bio-optical properties
Multidimensional representation
Multisource data
Quality control
Sensors data integration
description Field surveys are an important source of data for several scientific studies. Hydrological optics investigations require a large amount of optical data acquired using sensors from distinct manufacturers built with specific technologies. Consequently, rapid and integrated processing can be difficult due to several challenges, such as non-standard outputs, multidimensional resolutions of data (spatial, temporal, and spectral), mismatched sampling, sensor-specific corrections, and manufacturer proprietary software. In this context, we propose a procedure to overcome the drawbacks of processing multisource and multidimensional datasets. Our main goal is to provide a platform that integrates and analyzes datasets acquired from five sensors commonly used by the hydrological optics community. We can summarize the contribution of this work with three resources: a management model for datasets from field surveys, a processing workflow that describes all the correction steps by grouping protocols to integrate data, and an online system, Aquopts, which is a resources for storage, integration, correction, processing, and analysis. Aquopts has provided resources that have been used in several published studies in recognized geoscience journals supported by our rapid delivering system and integrated dataset processing.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:18:26Z
2020-12-12T02:18:26Z
2020-10-01
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.cageo.2020.104559
Computers and Geosciences, v. 143.
0098-3004
http://hdl.handle.net/11449/200877
10.1016/j.cageo.2020.104559
2-s2.0-85089239069
1184195536814806
2985771102505330
0000-0003-0516-0567
url http://dx.doi.org/10.1016/j.cageo.2020.104559
http://hdl.handle.net/11449/200877
identifier_str_mv Computers and Geosciences, v. 143.
0098-3004
10.1016/j.cageo.2020.104559
2-s2.0-85089239069
1184195536814806
2985771102505330
0000-0003-0516-0567
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers and Geosciences
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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