Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1803649856592412672 |