Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith

Detalhes bibliográficos
Autor(a) principal: Berger, Rute
Data de Publicação: 2019
Outros Autores: Silva, José Antônio Aleixo da, Ferreira, Rinaldo Luiz Caraciolo, Candeias, Ana Lúcia Bezerra, Rubilar, Rafael
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/16942
Resumo: The relationship between the ground Leaf area index (IAFg) from clonal plantations of Eucalyptus saligna Smith and three different vegetation indices (VI): Normalized Difference Vegetation Index (NDVI), Simple Ratio Index (SRI) and Soil Adjusted Vegetation Index (SAVI) was evaluated in order to select the best IV to estimate the IAF by remote sensing (LAIRS), and obtaining the spatial distribution of LAI in the stands. LAIg was measured using LAI-2000 and its behavior was examined at different ages. The vegetation indices were obtained from a Landsat 8/OLI through the arithmetic of the bands 4 and 5. The linear regression analysis was used to adjust the model LAIRS (LAIRSi=β0 + β1 .IVi + εi), and the criteria for selecting the best equation were the statistics R2adj%, Syx % and residual analysis. The results showed that the best vegetation index to estimate IAFSR was SRI (LAIRS =-5.6159 + 0.9716 .SRI ), resulting R2adj%=67.0 and Syx=12.5%. The results of all adjusted models tended towards overestimation of LAI in values lower than two and underestimation in values above 3.5 (NDVI e SRI) and above three for SAVI. The equations for different ages produced no improvement in LAIRS.
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spelling Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smithÍndices de vegetação para a estimativa do Índice de Área Foliar em plantios clonais de Eucalyptus saligna SmithRegression analysisSimple Ratio Index (SRI)LAI-2000Landsat 8/OLIAnálise de regressãoÍndice da Razão Simples (SRI)LAI-2000Landsat 8/OLIThe relationship between the ground Leaf area index (IAFg) from clonal plantations of Eucalyptus saligna Smith and three different vegetation indices (VI): Normalized Difference Vegetation Index (NDVI), Simple Ratio Index (SRI) and Soil Adjusted Vegetation Index (SAVI) was evaluated in order to select the best IV to estimate the IAF by remote sensing (LAIRS), and obtaining the spatial distribution of LAI in the stands. LAIg was measured using LAI-2000 and its behavior was examined at different ages. The vegetation indices were obtained from a Landsat 8/OLI through the arithmetic of the bands 4 and 5. The linear regression analysis was used to adjust the model LAIRS (LAIRSi=β0 + β1 .IVi + εi), and the criteria for selecting the best equation were the statistics R2adj%, Syx % and residual analysis. The results showed that the best vegetation index to estimate IAFSR was SRI (LAIRS =-5.6159 + 0.9716 .SRI ), resulting R2adj%=67.0 and Syx=12.5%. The results of all adjusted models tended towards overestimation of LAI in values lower than two and underestimation in values above 3.5 (NDVI e SRI) and above three for SAVI. The equations for different ages produced no improvement in LAIRS.Procurou-se estabelecer a relação entre o Índice de área foliar no campo (IAFc) de plantios clonais de Eucalyptus saligna Smith e três diferentes Índices de Vegetação (IV) obtidos de uma imagem Landsat 8/OLI: Índice de Vegetação da Diferença Normalizada (NDVI), Índice da Razão Simples (SRI) e Índice de Vegetação Ajustado para o Solo (SAVI), com o objetivo de selecionar o melhor estimador do IAF por sensoriamento remoto (IAFSR), obtendo assim a espacialização IAF nos talhões. O IAFc foi obtido utilizando o equipamento LAI-2000 e seu comportamento foi analisado em diferentes idades. Os índices de vegetação foram obtidos por meio de aritmética das bandas 4 e 5 do sensor. A análise de regressão linear simples foi utilizada para ajustar o modelo de estimativa de IAFSR (IAFSRi= β0 + β1 . IVi + εi), sendo os critérios de escolha as estatísticas de R2, Syx% e análise de resíduos. Os resultados mostraram que o índice que melhor estimou o IAFSR foi o SRI (IAFSR=-5,6159 + 0,9716 . SRI), com R2=0,68 e Syx%=12,5. Todos os modelos ajustados mostraram tendência em subestimar e superestimar o IAF. As equações obtidas para as diferentes idades não produziram melhora nas estimativas de IAFSR.Universidade Federal de Santa Maria2019-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/1694210.5902/1980509816942Ciência Florestal; Vol. 29 No. 2 (2019); 885-899Ciência Florestal; v. 29 n. 2 (2019); 885-8991980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/16942/pdfCopyright (c) 2019 Ciência Florestalinfo:eu-repo/semantics/openAccessBerger, RuteSilva, José Antônio Aleixo daFerreira, Rinaldo Luiz CaracioloCandeias, Ana Lúcia BezerraRubilar, Rafael2019-09-05T21:04:59Zoai:ojs.pkp.sfu.ca:article/16942Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2019-09-05T21:04:59Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
Índices de vegetação para a estimativa do Índice de Área Foliar em plantios clonais de Eucalyptus saligna Smith
title Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
spellingShingle Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
Berger, Rute
Regression analysis
Simple Ratio Index (SRI)
LAI-2000
Landsat 8/OLI
Análise de regressão
Índice da Razão Simples (SRI)
LAI-2000
Landsat 8/OLI
title_short Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
title_full Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
title_fullStr Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
title_full_unstemmed Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
title_sort Vegetation indices for the index estimation of the leaf area in clonal plantations of Eucalyptus saligna smith
author Berger, Rute
author_facet Berger, Rute
Silva, José Antônio Aleixo da
Ferreira, Rinaldo Luiz Caraciolo
Candeias, Ana Lúcia Bezerra
Rubilar, Rafael
author_role author
author2 Silva, José Antônio Aleixo da
Ferreira, Rinaldo Luiz Caraciolo
Candeias, Ana Lúcia Bezerra
Rubilar, Rafael
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Berger, Rute
Silva, José Antônio Aleixo da
Ferreira, Rinaldo Luiz Caraciolo
Candeias, Ana Lúcia Bezerra
Rubilar, Rafael
dc.subject.por.fl_str_mv Regression analysis
Simple Ratio Index (SRI)
LAI-2000
Landsat 8/OLI
Análise de regressão
Índice da Razão Simples (SRI)
LAI-2000
Landsat 8/OLI
topic Regression analysis
Simple Ratio Index (SRI)
LAI-2000
Landsat 8/OLI
Análise de regressão
Índice da Razão Simples (SRI)
LAI-2000
Landsat 8/OLI
description The relationship between the ground Leaf area index (IAFg) from clonal plantations of Eucalyptus saligna Smith and three different vegetation indices (VI): Normalized Difference Vegetation Index (NDVI), Simple Ratio Index (SRI) and Soil Adjusted Vegetation Index (SAVI) was evaluated in order to select the best IV to estimate the IAF by remote sensing (LAIRS), and obtaining the spatial distribution of LAI in the stands. LAIg was measured using LAI-2000 and its behavior was examined at different ages. The vegetation indices were obtained from a Landsat 8/OLI through the arithmetic of the bands 4 and 5. The linear regression analysis was used to adjust the model LAIRS (LAIRSi=β0 + β1 .IVi + εi), and the criteria for selecting the best equation were the statistics R2adj%, Syx % and residual analysis. The results showed that the best vegetation index to estimate IAFSR was SRI (LAIRS =-5.6159 + 0.9716 .SRI ), resulting R2adj%=67.0 and Syx=12.5%. The results of all adjusted models tended towards overestimation of LAI in values lower than two and underestimation in values above 3.5 (NDVI e SRI) and above three for SAVI. The equations for different ages produced no improvement in LAIRS.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-30
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/16942
10.5902/1980509816942
url https://periodicos.ufsm.br/cienciaflorestal/article/view/16942
identifier_str_mv 10.5902/1980509816942
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/16942/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2019 Ciência Florestal
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Ciência Florestal
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. 29 No. 2 (2019); 885-899
Ciência Florestal; v. 29 n. 2 (2019); 885-899
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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