Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)

Detalhes bibliográficos
Autor(a) principal: Pereira, Rodrigo Moura
Data de Publicação: 2016
Outros Autores: Casaroli, Derblai, Vellame, Lucas Melo, Alves Júnior, José, Evangelista, Adão Wagner Pêgo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/39303
Resumo: Large farmland areas and the knowledge on the interaction between solar radiation and vegetation canopies have increased the use of data from orbital remote sensors in sugarcane monitoring. However, the constituents of the atmosphere affect the reflectance values obtained by imaging sensors. This study aimed at improving a sugarcane Leaf Area Index (LAI) estimation model, concerning the Normalized Difference Vegetation Index (NDVI) subjected to atmospheric correction. The model generated by the NDVI with atmospheric correction showed the best results (R² = 0.84; d = 0.95; MAE = 0.44; RMSE = 0.55), in relation to the other models compared. LAI estimation with this model, during the sugarcane plant cycle, reached a maximum of 4.8 at the vegetative growth phase and 2.3 at the end of the maturation phase. Thus, the use of atmospheric correction to estimate the sugarcane LAI is recommended, since this procedure increases the correlations between the LAI estimated by image and by plant parameters.
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spelling Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)Estimativa da área foliar de cana-de-açúcar a partir do índice de vegetação por diferença normalizada (NDVI) corrigidoSaccharum spp.vegetal growthimage analysis.Saccharum spp.crescimento vegetalprocessamento de imagem.Large farmland areas and the knowledge on the interaction between solar radiation and vegetation canopies have increased the use of data from orbital remote sensors in sugarcane monitoring. However, the constituents of the atmosphere affect the reflectance values obtained by imaging sensors. This study aimed at improving a sugarcane Leaf Area Index (LAI) estimation model, concerning the Normalized Difference Vegetation Index (NDVI) subjected to atmospheric correction. The model generated by the NDVI with atmospheric correction showed the best results (R² = 0.84; d = 0.95; MAE = 0.44; RMSE = 0.55), in relation to the other models compared. LAI estimation with this model, during the sugarcane plant cycle, reached a maximum of 4.8 at the vegetative growth phase and 2.3 at the end of the maturation phase. Thus, the use of atmospheric correction to estimate the sugarcane LAI is recommended, since this procedure increases the correlations between the LAI estimated by image and by plant parameters.As grandes extensões de terras cultivadas e o entendimento da interação da radiação solar com os dosséis vegetativos têm viabilizado a utilização dos dados de sensores remotos orbitais no monitoramento da cana-de-açúcar. Entretanto, os efeitos atenuantes atmosféricos interferem nos dados de refletância obtidos pelo sensoriamento remoto óptico. Objetivou-se calibrar um modelo de estimativa do Índice de Área Foliar (IAF) da cana-de-açúcar, em função do índice de vegetação por diferença normalizada (NDVI) submetido a correção atmosférica. O modelo gerado pelo NDVI corrigido apresentou os melhores resultados (R² = 0,84; d = 0,95; MAE = 0,44; RMSE = 0,55), em relação aos modelos comparados. A estimativa do IAF com esse modelo, durante o ciclo de cana-planta, obteve um máximo de 4,8 na fase de crescimento vegetativo e 2,3 ao final da maturação. Assim, recomenda-se a aplicação de correção atmosférica para a estimativa do IAF da cana-de-açúcar, uma vez que tal procedimento aproxima o IAF estimado por imagem daquele estimado por parâmetros da planta.Escola de Agronomia - Universidade Federal de Goiás2016-06-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/39303Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 46, n. 2, Apr./Jun. 2016; 140-148Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 46, n. 2, abr./jun. 2016; 140-148Pesquisa Agropecuária Tropical; v. 46, n. 2, abr./jun. 2016; 140-1481983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/39303/21157Pereira, Rodrigo MouraCasaroli, DerblaiVellame, Lucas MeloAlves Júnior, JoséEvangelista, Adão Wagner Pêgoinfo:eu-repo/semantics/openAccess2020-07-13T17:56:28Zoai:ojs.revistas.ufg.br:article/39303Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:11.532911Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
Estimativa da área foliar de cana-de-açúcar a partir do índice de vegetação por diferença normalizada (NDVI) corrigido
title Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
spellingShingle Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
Pereira, Rodrigo Moura
Saccharum spp.
vegetal growth
image analysis.
Saccharum spp.
crescimento vegetal
processamento de imagem.
title_short Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
title_full Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
title_fullStr Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
title_full_unstemmed Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
title_sort Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI)
author Pereira, Rodrigo Moura
author_facet Pereira, Rodrigo Moura
Casaroli, Derblai
Vellame, Lucas Melo
Alves Júnior, José
Evangelista, Adão Wagner Pêgo
author_role author
author2 Casaroli, Derblai
Vellame, Lucas Melo
Alves Júnior, José
Evangelista, Adão Wagner Pêgo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pereira, Rodrigo Moura
Casaroli, Derblai
Vellame, Lucas Melo
Alves Júnior, José
Evangelista, Adão Wagner Pêgo
dc.subject.por.fl_str_mv Saccharum spp.
vegetal growth
image analysis.
Saccharum spp.
crescimento vegetal
processamento de imagem.
topic Saccharum spp.
vegetal growth
image analysis.
Saccharum spp.
crescimento vegetal
processamento de imagem.
description Large farmland areas and the knowledge on the interaction between solar radiation and vegetation canopies have increased the use of data from orbital remote sensors in sugarcane monitoring. However, the constituents of the atmosphere affect the reflectance values obtained by imaging sensors. This study aimed at improving a sugarcane Leaf Area Index (LAI) estimation model, concerning the Normalized Difference Vegetation Index (NDVI) subjected to atmospheric correction. The model generated by the NDVI with atmospheric correction showed the best results (R² = 0.84; d = 0.95; MAE = 0.44; RMSE = 0.55), in relation to the other models compared. LAI estimation with this model, during the sugarcane plant cycle, reached a maximum of 4.8 at the vegetative growth phase and 2.3 at the end of the maturation phase. Thus, the use of atmospheric correction to estimate the sugarcane LAI is recommended, since this procedure increases the correlations between the LAI estimated by image and by plant parameters.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/39303
url https://revistas.ufg.br/pat/article/view/39303
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/39303/21157
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 Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 46, n. 2, Apr./Jun. 2016; 140-148
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 46, n. 2, abr./jun. 2016; 140-148
Pesquisa Agropecuária Tropical; v. 46, n. 2, abr./jun. 2016; 140-148
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
_version_ 1799874819323330560

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