Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park

Detalhes bibliográficos
Autor(a) principal: Campanha, Guilherme Fernandes
Data de Publicação: 2018
Outros Autores: Souza, Inês Viana de, Ferrari, Jéferson Luiz, Peluzio, Telma Machado de Oliveira, Simão, João Batista Pavesi
Tipo de documento: Artigo
Idioma: por
Título da fonte: Vértices (Campos dos Goitacazes. Online)
Texto Completo: https://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322
Resumo: The objective was to map the coffee plantations in the municipalities around the Caparaó National Park (PARNA Caparaó) using images from the Operational Land Imager sensor - Landsat-8, referring to June 2014. The mapping was carried out in Geographic Information System. The algorithm used was that of maximum likelihood. The quality of the classification was assessed by the overall performance and Kappa indices. It was found that the coffee plantations in the surrounding municipalities of the PARNA Caparaó occupy an area of 594.52 km². The municipalities that presented the largest areas with coffee were Iúna-ES (123.47 km²) and Espera Feliz-MG (115.04 km²). The values are consistent with overall performance of 0.647 and Kappa of 0.216.
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spelling Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National ParkUso de imágenes Landsat-8 en el mapeo de los cultivos cafeteros en los municipios del entorno del Parque Nacional del CaparaóUso de imagens Landsat-8 no mapeamento das lavouras cafeeiras nos municípios do entorno do Parque Nacional do CaparaóGeoprocessingRemote sensingDigital classificationCoffeeLand managementGeoprocesamientoDetección remotaClasificación digitalCaféGestión territorialGeoprocessamentoSensoriamento remotoClassificação digitalCafeiculturaGestão territorialThe objective was to map the coffee plantations in the municipalities around the Caparaó National Park (PARNA Caparaó) using images from the Operational Land Imager sensor - Landsat-8, referring to June 2014. The mapping was carried out in Geographic Information System. The algorithm used was that of maximum likelihood. The quality of the classification was assessed by the overall performance and Kappa indices. It was found that the coffee plantations in the surrounding municipalities of the PARNA Caparaó occupy an area of 594.52 km². The municipalities that presented the largest areas with coffee were Iúna-ES (123.47 km²) and Espera Feliz-MG (115.04 km²). The values are consistent with overall performance of 0.647 and Kappa of 0.216.El objetivo de este trabajo fue mapear los cultivos cafeteros en los municipios del entorno del Parque Nacional del Caparaó (PARNA Caparaó) utilizando imágenes del sensor Operational Land Imager - Landsat-8, en el período referente a junio de 2014. El mapeo fue realizado en Sistema de Información Geográfica. El algoritmo empleado fue el de la máxima verosimilitud. La calidad de la clasificación fue evaluada por los índices de desempeño global y Kappa. Se constató que los cultivos cafeteros en los municipios del entorno del PARNA Caparaó ocupan área de 594,52 km². Los municipios que presentaron las mayores áreas con café fueron Iúna / ES (123,47 km²) y Espera Feliz / MG (115,04 km²). Los resultados encontrados son compatibles con el rendimiento global de 0,647 y Kappa de 0,216. Objetivou-se mapear as lavouras cafeeiras nos municípios do entorno do Parque Nacional do Caparaó (PARNA Caparaó) utilizando imagens do sensor Operational Land Imager - Landsat-8, no período referente a junho de 2014. O mapeamento foi realizado em Sistema de Informação Geográfica. O algoritmo empregado foi o da máxima verossimilhança. A qualidade da classificação foi avaliada pelos índices desempenho global e Kappa. Constatou-se que as lavouras cafeeiras nos municípios do entorno do PARNA Caparaó ocupam área de 594,52 km². Os municípios que apresentaram as maiores áreas com café foram Iúna/ES (123,47 km²) e Espera Feliz/MG (115,04 km²). Os resultados encontrados estão condizentes com desempenho global de 0,647 e Kappa de 0,216.  Instituto Federal de Educação, Ciência e Tecnologia Fluminense2018-04-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/ziptext/htmlhttps://editoraessentia.iff.edu.br/index.php/vertices/article/view/832210.19180/1809-2667.v20n12018p6-17Revista Vértices; Vol. 20 No. 1 (2018): Jan./Apr.; 6-17Revista Vértices; Vol. 20 Núm. 1 (2018): ene./abr.; 6-17Revista Vértices; v. 20 n. 1 (2018): jan./abr.; 6-171809-26671415-2843reponame:Vértices (Campos dos Goitacazes. Online)instname:Centro Federal de Educação Tecnológica de Campos dos Goytacazesinstacron:IFFluminenseporhttps://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322/9113https://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322/14450https://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322/14451Campanha, Guilherme FernandesSouza, Inês Viana deFerrari, Jéferson LuizPeluzio, Telma Machado de OliveiraSimão, João Batista Pavesiinfo:eu-repo/semantics/openAccess2021-12-30T14:20:32Zoai:ojs.editoraessentia.iff.edu.br:article/8322Revistahttps://essentiaeditora.iff.edu.br/index.php/vertices/PUBhttps://essentiaeditora.iff.edu.br/index.php/vertices/oaiessentia@iff.edu.br1809-26671415-2843opendoar:2021-12-30T14:20:32Vértices (Campos dos Goitacazes. Online) - Centro Federal de Educação Tecnológica de Campos dos Goytacazesfalse
dc.title.none.fl_str_mv Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
Uso de imágenes Landsat-8 en el mapeo de los cultivos cafeteros en los municipios del entorno del Parque Nacional del Caparaó
Uso de imagens Landsat-8 no mapeamento das lavouras cafeeiras nos municípios do entorno do Parque Nacional do Caparaó
title Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
spellingShingle Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
Campanha, Guilherme Fernandes
Geoprocessing
Remote sensing
Digital classification
Coffee
Land management
Geoprocesamiento
Detección remota
Clasificación digital
Café
Gestión territorial
Geoprocessamento
Sensoriamento remoto
Classificação digital
Cafeicultura
Gestão territorial
title_short Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
title_full Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
title_fullStr Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
title_full_unstemmed Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
title_sort Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
author Campanha, Guilherme Fernandes
author_facet Campanha, Guilherme Fernandes
Souza, Inês Viana de
Ferrari, Jéferson Luiz
Peluzio, Telma Machado de Oliveira
Simão, João Batista Pavesi
author_role author
author2 Souza, Inês Viana de
Ferrari, Jéferson Luiz
Peluzio, Telma Machado de Oliveira
Simão, João Batista Pavesi
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Campanha, Guilherme Fernandes
Souza, Inês Viana de
Ferrari, Jéferson Luiz
Peluzio, Telma Machado de Oliveira
Simão, João Batista Pavesi
dc.subject.por.fl_str_mv Geoprocessing
Remote sensing
Digital classification
Coffee
Land management
Geoprocesamiento
Detección remota
Clasificación digital
Café
Gestión territorial
Geoprocessamento
Sensoriamento remoto
Classificação digital
Cafeicultura
Gestão territorial
topic Geoprocessing
Remote sensing
Digital classification
Coffee
Land management
Geoprocesamiento
Detección remota
Clasificación digital
Café
Gestión territorial
Geoprocessamento
Sensoriamento remoto
Classificação digital
Cafeicultura
Gestão territorial
description The objective was to map the coffee plantations in the municipalities around the Caparaó National Park (PARNA Caparaó) using images from the Operational Land Imager sensor - Landsat-8, referring to June 2014. The mapping was carried out in Geographic Information System. The algorithm used was that of maximum likelihood. The quality of the classification was assessed by the overall performance and Kappa indices. It was found that the coffee plantations in the surrounding municipalities of the PARNA Caparaó occupy an area of 594.52 km². The municipalities that presented the largest areas with coffee were Iúna-ES (123.47 km²) and Espera Feliz-MG (115.04 km²). The values are consistent with overall performance of 0.647 and Kappa of 0.216.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-27
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://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322
10.19180/1809-2667.v20n12018p6-17
url https://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322
identifier_str_mv 10.19180/1809-2667.v20n12018p6-17
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322/9113
https://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322/14450
https://editoraessentia.iff.edu.br/index.php/vertices/article/view/8322/14451
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/zip
text/html
dc.publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia Fluminense
publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia Fluminense
dc.source.none.fl_str_mv Revista Vértices; Vol. 20 No. 1 (2018): Jan./Apr.; 6-17
Revista Vértices; Vol. 20 Núm. 1 (2018): ene./abr.; 6-17
Revista Vértices; v. 20 n. 1 (2018): jan./abr.; 6-17
1809-2667
1415-2843
reponame:Vértices (Campos dos Goitacazes. Online)
instname:Centro Federal de Educação Tecnológica de Campos dos Goytacazes
instacron:IFFluminense
instname_str Centro Federal de Educação Tecnológica de Campos dos Goytacazes
instacron_str IFFluminense
institution IFFluminense
reponame_str Vértices (Campos dos Goitacazes. Online)
collection Vértices (Campos dos Goitacazes. Online)
repository.name.fl_str_mv Vértices (Campos dos Goitacazes. Online) - Centro Federal de Educação Tecnológica de Campos dos Goytacazes
repository.mail.fl_str_mv essentia@iff.edu.br
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