EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE

Detalhes bibliográficos
Autor(a) principal: Galvanin, Edinéia Aparecida dos Santos
Data de Publicação: 2014
Outros Autores: Neves, Sandra Mara Alves da Silva, Cruz, Carla Bernadete Madureira, Neves, Ronaldo José, Jesus, Paulo Henrique Hack de, Kreitlow, Jesã Pereira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/4090
Resumo: http://dx.doi.org/10.5902/1980509815729This paper compares the performance of some vegetation indexes: Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) e Transformed Vegetation Index (TVI), applied in seasonal periods to verify which one best fits to discriminate the vegetation types of environments of ‘Pantanal’ in Cáceres, Mato Grosso state, Brazil, in Landsat TM 5 image of 2009 in the dry period and 2010 in the humid period. Result verification of indexes images showed that NDVI provide a better performance than the SR and TVI indexes for different environments.
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spelling EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATEAVALIAÇÃO DOS ÍNDICES DE VEGETAÇÃO NDVI, SR E TVI NA DISCRIMINAÇÃO DE FITOFISIONOMIAS DOS AMBIENTES DO PANTANAL DE CÁCERES/MTremote sensingSIGimage digital processingPantanal Mato-grossense.sensoriamento remotoSIGprocessamento digital de imagensPantanal Mato-grossensehttp://dx.doi.org/10.5902/1980509815729This paper compares the performance of some vegetation indexes: Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) e Transformed Vegetation Index (TVI), applied in seasonal periods to verify which one best fits to discriminate the vegetation types of environments of ‘Pantanal’ in Cáceres, Mato Grosso state, Brazil, in Landsat TM 5 image of 2009 in the dry period and 2010 in the humid period. Result verification of indexes images showed that NDVI provide a better performance than the SR and TVI indexes for different environments.http://dx.doi.org/10.5902/1980509815729Este artigo faz uma comparação dos índices de vegetação Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) e Transformed Vegetation Index (TVI), na discriminação das fitofisionomias de três ambientes do Pantanal de Cáceres, Mato Grosso, considerando a sazonalidade (períodos seco e úmido). As imagens utilizadas foram as do satélite Landsat TM 5, do ano de 2009 (período seco) e de 2010 (período úmido). As análises mostraram que o NDVI apresentou melhor desempenho em relação ao SR e TVI para os diferentes ambientes.Universidade Federal de Santa Maria2014-09-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/409010.5902/1980509815729Ciência Florestal; Vol. 24 No. 3 (2014); 707-715Ciência Florestal; v. 24 n. 3 (2014); 707-7151980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/4090/9513Galvanin, Edinéia Aparecida dos SantosNeves, Sandra Mara Alves da SilvaCruz, Carla Bernadete MadureiraNeves, Ronaldo JoséJesus, Paulo Henrique Hack deKreitlow, Jesã Pereirainfo:eu-repo/semantics/openAccess2017-04-13T11:27:52Zoai:ojs.pkp.sfu.ca:article/15729Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-04-13T11:27:52Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
AVALIAÇÃO DOS ÍNDICES DE VEGETAÇÃO NDVI, SR E TVI NA DISCRIMINAÇÃO DE FITOFISIONOMIAS DOS AMBIENTES DO PANTANAL DE CÁCERES/MT
title EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
spellingShingle EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
Galvanin, Edinéia Aparecida dos Santos
remote sensing
SIG
image digital processing
Pantanal Mato-grossense.
sensoriamento remoto
SIG
processamento digital de imagens
Pantanal Mato-grossense
title_short EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
title_full EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
title_fullStr EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
title_full_unstemmed EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
title_sort EVALUATION OF VEGETATION INDEXES NDVI, SR AND TVI IN THE DISCRIMINATION OF VEGETATION TYPES OF ENVIRONMENTS OF ‘PANTANAL’ IN CÁCERES, MATO GROSSO STATE
author Galvanin, Edinéia Aparecida dos Santos
author_facet Galvanin, Edinéia Aparecida dos Santos
Neves, Sandra Mara Alves da Silva
Cruz, Carla Bernadete Madureira
Neves, Ronaldo José
Jesus, Paulo Henrique Hack de
Kreitlow, Jesã Pereira
author_role author
author2 Neves, Sandra Mara Alves da Silva
Cruz, Carla Bernadete Madureira
Neves, Ronaldo José
Jesus, Paulo Henrique Hack de
Kreitlow, Jesã Pereira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Galvanin, Edinéia Aparecida dos Santos
Neves, Sandra Mara Alves da Silva
Cruz, Carla Bernadete Madureira
Neves, Ronaldo José
Jesus, Paulo Henrique Hack de
Kreitlow, Jesã Pereira
dc.subject.por.fl_str_mv remote sensing
SIG
image digital processing
Pantanal Mato-grossense.
sensoriamento remoto
SIG
processamento digital de imagens
Pantanal Mato-grossense
topic remote sensing
SIG
image digital processing
Pantanal Mato-grossense.
sensoriamento remoto
SIG
processamento digital de imagens
Pantanal Mato-grossense
description http://dx.doi.org/10.5902/1980509815729This paper compares the performance of some vegetation indexes: Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) e Transformed Vegetation Index (TVI), applied in seasonal periods to verify which one best fits to discriminate the vegetation types of environments of ‘Pantanal’ in Cáceres, Mato Grosso state, Brazil, in Landsat TM 5 image of 2009 in the dry period and 2010 in the humid period. Result verification of indexes images showed that NDVI provide a better performance than the SR and TVI indexes for different environments.
publishDate 2014
dc.date.none.fl_str_mv 2014-09-30
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://periodicos.ufsm.br/cienciaflorestal/article/view/4090
10.5902/1980509815729
url https://periodicos.ufsm.br/cienciaflorestal/article/view/4090
identifier_str_mv 10.5902/1980509815729
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/4090/9513
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.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 24 No. 3 (2014); 707-715
Ciência Florestal; v. 24 n. 3 (2014); 707-715
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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