Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/rs6043059 http://hdl.handle.net/11449/113370 |
Resumo: | Web tools for statistical investigation with an interactive and friendly interface enable users without programming knowledge to conduct their analyses. We develop an Interactive Correlation Environment (ICE) in an open access platform to perform spectral collinearity analysis for biogeochemical activity retrieval. We evaluate its performance on different browsers and applied it to retrieve chlorophyll-a (chl-a) concentration in a tropical reservoir. The use of ICE to retrieve water chl-a concentration got a Root Mean Square Error (RMSE) lower than 7% for seasonal datasets, enhancing ICE's ability to adapt it within season. An RMSE of 17% was found for the mixed dataset with a large range of chl-a concentrations. We conclude that the use of ICE is recommended, due to its quick response, easily manipulation, high accuracy, and empirical adaptation to seasonal variability. Its use is enhanced by the development of hyperspectral sensors, which allow the identification of several biogeochemical components, such as chl-a, phycocyanin (PC), soil salinity, soil types, leaf nitrogen, and leaf chl-a concentration. |
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Repositório Institucional da UNESP |
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Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis2D correlation plotweb toolcorrelationbio-opticalchlorophyllband ratioWeb tools for statistical investigation with an interactive and friendly interface enable users without programming knowledge to conduct their analyses. We develop an Interactive Correlation Environment (ICE) in an open access platform to perform spectral collinearity analysis for biogeochemical activity retrieval. We evaluate its performance on different browsers and applied it to retrieve chlorophyll-a (chl-a) concentration in a tropical reservoir. The use of ICE to retrieve water chl-a concentration got a Root Mean Square Error (RMSE) lower than 7% for seasonal datasets, enhancing ICE's ability to adapt it within season. An RMSE of 17% was found for the mixed dataset with a large range of chl-a concentrations. We conclude that the use of ICE is recommended, due to its quick response, easily manipulation, high accuracy, and empirical adaptation to seasonal variability. Its use is enhanced by the development of hyperspectral sensors, which allow the identification of several biogeochemical components, such as chl-a, phycocyanin (PC), soil salinity, soil types, leaf nitrogen, and leaf chl-a concentration.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)FURNASRemote Sensing Post Graduation Course (PG-SER)Natl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, BrazilETEP Faculdades, BR-12242800 Sao Jose Dos Campos, SP, BrazilState Univ Sao Paulo, Cartog Dept, BR-19060900 Presidente Prudente, SP, BrazilState Univ Sao Paulo, Cartog Dept, BR-19060900 Presidente Prudente, SP, BrazilFAPESP: 11/19523-8CNPq: 471223/2011-5CNPq: 161233/2013-9Mdpi AgInstituto Nacional de Pesquisas Espaciais (INPE)ETEP FaculdadesUniversidade Estadual Paulista (Unesp)Ogashawara, IgorCurtarelli, Marcelo P.Souza, Arley F.Augusto-Silva, Petala B.Alcantara, Enner H. [UNESP]Stech, Jose L.2014-12-03T13:11:39Z2014-12-03T13:11:39Z2014-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article3059-3074application/pdfhttp://dx.doi.org/10.3390/rs6043059Remote Sensing. Basel: Mdpi Ag, v. 6, n. 4, p. 3059-3074, 2014.2072-4292http://hdl.handle.net/11449/11337010.3390/rs6043059WOS:000336746900023WOS000336746900023.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing3.4061,386info:eu-repo/semantics/openAccess2024-06-18T15:01:04Zoai:repositorio.unesp.br:11449/113370Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:14:41.764111Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis |
title |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis |
spellingShingle |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis Ogashawara, Igor 2D correlation plot web tool correlation bio-optical chlorophyll band ratio |
title_short |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis |
title_full |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis |
title_fullStr |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis |
title_full_unstemmed |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis |
title_sort |
Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis |
author |
Ogashawara, Igor |
author_facet |
Ogashawara, Igor Curtarelli, Marcelo P. Souza, Arley F. Augusto-Silva, Petala B. Alcantara, Enner H. [UNESP] Stech, Jose L. |
author_role |
author |
author2 |
Curtarelli, Marcelo P. Souza, Arley F. Augusto-Silva, Petala B. Alcantara, Enner H. [UNESP] Stech, Jose L. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Instituto Nacional de Pesquisas Espaciais (INPE) ETEP Faculdades Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Ogashawara, Igor Curtarelli, Marcelo P. Souza, Arley F. Augusto-Silva, Petala B. Alcantara, Enner H. [UNESP] Stech, Jose L. |
dc.subject.por.fl_str_mv |
2D correlation plot web tool correlation bio-optical chlorophyll band ratio |
topic |
2D correlation plot web tool correlation bio-optical chlorophyll band ratio |
description |
Web tools for statistical investigation with an interactive and friendly interface enable users without programming knowledge to conduct their analyses. We develop an Interactive Correlation Environment (ICE) in an open access platform to perform spectral collinearity analysis for biogeochemical activity retrieval. We evaluate its performance on different browsers and applied it to retrieve chlorophyll-a (chl-a) concentration in a tropical reservoir. The use of ICE to retrieve water chl-a concentration got a Root Mean Square Error (RMSE) lower than 7% for seasonal datasets, enhancing ICE's ability to adapt it within season. An RMSE of 17% was found for the mixed dataset with a large range of chl-a concentrations. We conclude that the use of ICE is recommended, due to its quick response, easily manipulation, high accuracy, and empirical adaptation to seasonal variability. Its use is enhanced by the development of hyperspectral sensors, which allow the identification of several biogeochemical components, such as chl-a, phycocyanin (PC), soil salinity, soil types, leaf nitrogen, and leaf chl-a concentration. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-03T13:11:39Z 2014-12-03T13:11:39Z 2014-04-01 |
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/10.3390/rs6043059 Remote Sensing. Basel: Mdpi Ag, v. 6, n. 4, p. 3059-3074, 2014. 2072-4292 http://hdl.handle.net/11449/113370 10.3390/rs6043059 WOS:000336746900023 WOS000336746900023.pdf |
url |
http://dx.doi.org/10.3390/rs6043059 http://hdl.handle.net/11449/113370 |
identifier_str_mv |
Remote Sensing. Basel: Mdpi Ag, v. 6, n. 4, p. 3059-3074, 2014. 2072-4292 10.3390/rs6043059 WOS:000336746900023 WOS000336746900023.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sensing 3.406 1,386 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
3059-3074 application/pdf |
dc.publisher.none.fl_str_mv |
Mdpi Ag |
publisher.none.fl_str_mv |
Mdpi Ag |
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 |
|
_version_ |
1808128335079800832 |