Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean

Detalhes bibliográficos
Autor(a) principal: Monteiro, Priscylla Ferraz Câmara
Data de Publicação: 2013
Outros Autores: Angulo Filho, Rubens, Xavier, Alexandre Cândido, Monteiro, Rodrigo Otávio Câmara
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/14058
Resumo: The objective of this work was to evaluate the vegetation indices and red and infrared bands of the HRVIR, ETM+ and Modis sensors, in the estimations of leaf area index and grain yield of common bean. The experiment was carried out in a randomized block design, with split plots and four irrigation levels (179.5, 256.5, 357.5, and 406.2 mm), three N rates (0.0, 80.0 and 160.0 kg ha-1), and four replicates. The reflectance measurements were obtained through the Spectron SE‑590, at R6 stage, on 48 plots. Simple ratio, normalized difference vegetation index, soil‑adjusted vegetation index, and enhanced vegetation index were tested. The vegetation indices were efficient to estimate the leaf area index (LAI) and grain yield. The vegetation indices and infrared band show the same potential to estimate LAI, when considering the spectral resolution of Modis, ETM+ and HRVIR.
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spelling Vegetation indices simulated from different sensors for the estimation of biophysical variables of common beanÍndices de vegetação simulados de diferentes sensores na estimativa das variáveis biofísicas do feijoeiroPhaseolus vulgaris; agriculture; spectral reflectance; remote sensingPhaseolus vulgaris; agricultura; reflectância espectral; sensoriamento remotoThe objective of this work was to evaluate the vegetation indices and red and infrared bands of the HRVIR, ETM+ and Modis sensors, in the estimations of leaf area index and grain yield of common bean. The experiment was carried out in a randomized block design, with split plots and four irrigation levels (179.5, 256.5, 357.5, and 406.2 mm), three N rates (0.0, 80.0 and 160.0 kg ha-1), and four replicates. The reflectance measurements were obtained through the Spectron SE‑590, at R6 stage, on 48 plots. Simple ratio, normalized difference vegetation index, soil‑adjusted vegetation index, and enhanced vegetation index were tested. The vegetation indices were efficient to estimate the leaf area index (LAI) and grain yield. The vegetation indices and infrared band show the same potential to estimate LAI, when considering the spectral resolution of Modis, ETM+ and HRVIR.O objetivo deste trabalho foi avaliar os índices de vegetação e bandas do vermelho e do infravermelho próximo, gerados a partir dos sensores HRVIR, ETM+ e Modis, nas estimativas de índice de área foliar e produtividade da cultura do feijoeiro. O experimento foi realizado em blocos ao acaso, com parcelas subdivididas, com quatro lâminas de irrigação (179,5, 256,5, 357,5 e 406,2 mm), três doses de N (0,0, 80,0 e 160,0 kg ha-1) e quatro repetições. As medidas de reflectância foram obtidas com o Spetron SE‑590, no estádio R6 da cultura, nas 48 parcelas. Foram testados: a razão simples, o índice de vegetação por diferença normalizada, índice de vegetação ajustado ao solo e índice de vegetação realçado. Os índices de vegetação foram eficientes na estimativa do índice de área foliar (IAF) e da produtividade da cultura do feijoeiro. Os índices de vegetação e a banda do infravermelho apresentam o mesmo potencial na estimativa do IAF, quando se considera a resolução espectral dos sensores Modis, ETM+ e HRVIR.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCapesMonteiro, Priscylla Ferraz CâmaraAngulo Filho, RubensXavier, Alexandre CândidoMonteiro, Rodrigo Otávio Câmara2013-06-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/14058Pesquisa Agropecuaria Brasileira; v.48, n.4, abr. 2013; 433-441Pesquisa Agropecuária Brasileira; v.48, n.4, abr. 2013; 433-4411678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/14058/11355https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14058/9445https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14058/9446info:eu-repo/semantics/openAccess2013-06-27T17:48:18Zoai:ojs.seer.sct.embrapa.br:article/14058Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2013-06-27T17:48:18Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
Índices de vegetação simulados de diferentes sensores na estimativa das variáveis biofísicas do feijoeiro
title Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
spellingShingle Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
Monteiro, Priscylla Ferraz Câmara
Phaseolus vulgaris; agriculture; spectral reflectance; remote sensing
Phaseolus vulgaris; agricultura; reflectância espectral; sensoriamento remoto
title_short Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
title_full Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
title_fullStr Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
title_full_unstemmed Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
title_sort Vegetation indices simulated from different sensors for the estimation of biophysical variables of common bean
author Monteiro, Priscylla Ferraz Câmara
author_facet Monteiro, Priscylla Ferraz Câmara
Angulo Filho, Rubens
Xavier, Alexandre Cândido
Monteiro, Rodrigo Otávio Câmara
author_role author
author2 Angulo Filho, Rubens
Xavier, Alexandre Cândido
Monteiro, Rodrigo Otávio Câmara
author2_role author
author
author
dc.contributor.none.fl_str_mv
Capes
dc.contributor.author.fl_str_mv Monteiro, Priscylla Ferraz Câmara
Angulo Filho, Rubens
Xavier, Alexandre Cândido
Monteiro, Rodrigo Otávio Câmara
dc.subject.por.fl_str_mv Phaseolus vulgaris; agriculture; spectral reflectance; remote sensing
Phaseolus vulgaris; agricultura; reflectância espectral; sensoriamento remoto
topic Phaseolus vulgaris; agriculture; spectral reflectance; remote sensing
Phaseolus vulgaris; agricultura; reflectância espectral; sensoriamento remoto
description The objective of this work was to evaluate the vegetation indices and red and infrared bands of the HRVIR, ETM+ and Modis sensors, in the estimations of leaf area index and grain yield of common bean. The experiment was carried out in a randomized block design, with split plots and four irrigation levels (179.5, 256.5, 357.5, and 406.2 mm), three N rates (0.0, 80.0 and 160.0 kg ha-1), and four replicates. The reflectance measurements were obtained through the Spectron SE‑590, at R6 stage, on 48 plots. Simple ratio, normalized difference vegetation index, soil‑adjusted vegetation index, and enhanced vegetation index were tested. The vegetation indices were efficient to estimate the leaf area index (LAI) and grain yield. The vegetation indices and infrared band show the same potential to estimate LAI, when considering the spectral resolution of Modis, ETM+ and HRVIR.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-27
dc.type.none.fl_str_mv
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.sct.embrapa.br/index.php/pab/article/view/14058
url https://seer.sct.embrapa.br/index.php/pab/article/view/14058
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/14058/11355
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14058/9445
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14058/9446
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 Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.48, n.4, abr. 2013; 433-441
Pesquisa Agropecuária Brasileira; v.48, n.4, abr. 2013; 433-441
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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