EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain

Detalhes bibliográficos
Autor(a) principal: Gois, Givanildo de
Data de Publicação: 2016
Outros Autores: Delgado, Rafael Coll, Oliveira-Junior, José Francisco, Souza, Thais Cristina de Oliveira, Teodoro, Paulo Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/33713
Resumo: The study aimed to assess the growth and decrease in vegetation trend by Enhanced Vegetation Index (EVI2) through the application of statistical tests and Markov's chain in the state of Rio de Janeiro (SRJ). Monthly data from EVI2 were calculated for the vegetations of the State of Rio de Janeiro (SRJ) from 2001 to 2012. Mann-Kendall (MK), Pettitt (P) and Estimator of Curvature Slope Sen (Se) tests assessed EVI2 trend, while the future scenarios were evaluated by Markov chain. Overall, there is an insignificant trend in vegetation growth in 75%, followed by a significant trend of decreasing in 25% of the regions. Pettitt's test showed that there is not significant (NS) abrupt changes, both growth and decreasing vegetation, and significant (S) abrupt changes of decreasing vegetation in the others Government regions. Spatial analysis from EVI2 in the regions Médio Paraíba amd Serrana showed the occurrence of NS abrupt change in the vegetation in November 2007 and 2003. Norte Fluminense and Metropolitana showed a NS vegetation increase in October 2003 and 2005. Noroeste Fluminense and Centro Sul Fluminense revealed an NS and S abrupt change of decreasing vegetation in April 2006. In Costa Verde and Baixadas Litorâneas NS and S abrupt changes in decreasing vegetation were observed in May 2004. Future scenarios showed changes in vegetation trend in SRJ with indication of decreasing. Predictions of changes in future scenarios ranging from 1 to 2 years in constant intervals (3 to 10 years) were observed in all future scenarios analyzed in the SRJ.
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spelling EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain orbital sensorsstatistical testsgeotechnologyMarkovian matix.Biological SciencesThe study aimed to assess the growth and decrease in vegetation trend by Enhanced Vegetation Index (EVI2) through the application of statistical tests and Markov's chain in the state of Rio de Janeiro (SRJ). Monthly data from EVI2 were calculated for the vegetations of the State of Rio de Janeiro (SRJ) from 2001 to 2012. Mann-Kendall (MK), Pettitt (P) and Estimator of Curvature Slope Sen (Se) tests assessed EVI2 trend, while the future scenarios were evaluated by Markov chain. Overall, there is an insignificant trend in vegetation growth in 75%, followed by a significant trend of decreasing in 25% of the regions. Pettitt's test showed that there is not significant (NS) abrupt changes, both growth and decreasing vegetation, and significant (S) abrupt changes of decreasing vegetation in the others Government regions. Spatial analysis from EVI2 in the regions Médio Paraíba amd Serrana showed the occurrence of NS abrupt change in the vegetation in November 2007 and 2003. Norte Fluminense and Metropolitana showed a NS vegetation increase in October 2003 and 2005. Noroeste Fluminense and Centro Sul Fluminense revealed an NS and S abrupt change of decreasing vegetation in April 2006. In Costa Verde and Baixadas Litorâneas NS and S abrupt changes in decreasing vegetation were observed in May 2004. Future scenarios showed changes in vegetation trend in SRJ with indication of decreasing. Predictions of changes in future scenarios ranging from 1 to 2 years in constant intervals (3 to 10 years) were observed in all future scenarios analyzed in the SRJ.EDUFU2016-07-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3371310.14393/BJ-v32n4a2016-33713Bioscience Journal ; Vol. 32 No. 4 (2016): July/Aug.; 1049-1058Bioscience Journal ; v. 32 n. 4 (2016): July/Aug.; 1049-10581981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/33713/18542Brazil; ContemporaryCopyright (c) 2016 Givanildo de Gois, Rafael Coll Delgado, José Francisco Oliveira-Junior, Thais Cristina de Oliveira Souza, Paulo Eduardo Teodorohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGois, Givanildo deDelgado, Rafael CollOliveira-Junior, José FranciscoSouza, Thais Cristina de OliveiraTeodoro, Paulo Eduardo2022-02-22T23:33:10Zoai:ojs.www.seer.ufu.br:article/33713Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-22T23:33:10Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
title EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
spellingShingle EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
Gois, Givanildo de
orbital sensors
statistical tests
geotechnology
Markovian matix.
Biological Sciences
title_short EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
title_full EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
title_fullStr EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
title_full_unstemmed EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
title_sort EVI2 index trend applied to the vegetation of the state of Rio de Janeiro based on non-parametric tests and Markov chain
author Gois, Givanildo de
author_facet Gois, Givanildo de
Delgado, Rafael Coll
Oliveira-Junior, José Francisco
Souza, Thais Cristina de Oliveira
Teodoro, Paulo Eduardo
author_role author
author2 Delgado, Rafael Coll
Oliveira-Junior, José Francisco
Souza, Thais Cristina de Oliveira
Teodoro, Paulo Eduardo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gois, Givanildo de
Delgado, Rafael Coll
Oliveira-Junior, José Francisco
Souza, Thais Cristina de Oliveira
Teodoro, Paulo Eduardo
dc.subject.por.fl_str_mv orbital sensors
statistical tests
geotechnology
Markovian matix.
Biological Sciences
topic orbital sensors
statistical tests
geotechnology
Markovian matix.
Biological Sciences
description The study aimed to assess the growth and decrease in vegetation trend by Enhanced Vegetation Index (EVI2) through the application of statistical tests and Markov's chain in the state of Rio de Janeiro (SRJ). Monthly data from EVI2 were calculated for the vegetations of the State of Rio de Janeiro (SRJ) from 2001 to 2012. Mann-Kendall (MK), Pettitt (P) and Estimator of Curvature Slope Sen (Se) tests assessed EVI2 trend, while the future scenarios were evaluated by Markov chain. Overall, there is an insignificant trend in vegetation growth in 75%, followed by a significant trend of decreasing in 25% of the regions. Pettitt's test showed that there is not significant (NS) abrupt changes, both growth and decreasing vegetation, and significant (S) abrupt changes of decreasing vegetation in the others Government regions. Spatial analysis from EVI2 in the regions Médio Paraíba amd Serrana showed the occurrence of NS abrupt change in the vegetation in November 2007 and 2003. Norte Fluminense and Metropolitana showed a NS vegetation increase in October 2003 and 2005. Noroeste Fluminense and Centro Sul Fluminense revealed an NS and S abrupt change of decreasing vegetation in April 2006. In Costa Verde and Baixadas Litorâneas NS and S abrupt changes in decreasing vegetation were observed in May 2004. Future scenarios showed changes in vegetation trend in SRJ with indication of decreasing. Predictions of changes in future scenarios ranging from 1 to 2 years in constant intervals (3 to 10 years) were observed in all future scenarios analyzed in the SRJ.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/33713
10.14393/BJ-v32n4a2016-33713
url https://seer.ufu.br/index.php/biosciencejournal/article/view/33713
identifier_str_mv 10.14393/BJ-v32n4a2016-33713
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/33713/18542
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 32 No. 4 (2016): July/Aug.; 1049-1058
Bioscience Journal ; v. 32 n. 4 (2016): July/Aug.; 1049-1058
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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