Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.

Detalhes bibliográficos
Autor(a) principal: CECHIM JUNIOR, C.
Data de Publicação: 2017
Outros Autores: JOHANN, J. A., ANTUNES, J. F. G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069839
http://dx.doi.org/10.1590/1807-1929/agriambi.v21n6p427-432
Resumo: ABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from moderate to strong (0.64 ≤ rs ≤ 0.80) with average agreement (dr) of 0.81. There was an increase of 2.73% (18,630 ha) in the area with sugarcane in Paraná between 2010/2011 and 2013/2014.
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spelling Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.Processamento de imagem digitalClassificação supervisionadaDigital image processingSupervised classificationMaxverCana de açúcarSensoriamento remotoEstatística agrícolaSugarcaneRemote sensingImage analysisAgricultural statisticsABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from moderate to strong (0.64 ≤ rs ≤ 0.80) with average agreement (dr) of 0.81. There was an increase of 2.73% (18,630 ha) in the area with sugarcane in Paraná between 2010/2011 and 2013/2014.Agriambi.CLÓVIS CECHIM JUNIOR, Unioeste; JERRY A. JOHANN, Unioeste; JOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA.CECHIM JUNIOR, C.JOHANN, J. A.ANTUNES, J. F. G.2017-05-22T11:11:11Z2017-05-22T11:11:11Z2017-05-2220172017-05-22T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 21, n. 6, p. 427-432, jun. 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069839http://dx.doi.org/10.1590/1807-1929/agriambi.v21n6p427-432enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:25:44Zoai:www.alice.cnptia.embrapa.br:doc/1069839Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:25:44falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:25:44Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
title Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
spellingShingle Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
CECHIM JUNIOR, C.
Processamento de imagem digital
Classificação supervisionada
Digital image processing
Supervised classification
Maxver
Cana de açúcar
Sensoriamento remoto
Estatística agrícola
Sugarcane
Remote sensing
Image analysis
Agricultural statistics
title_short Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
title_full Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
title_fullStr Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
title_full_unstemmed Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
title_sort Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
author CECHIM JUNIOR, C.
author_facet CECHIM JUNIOR, C.
JOHANN, J. A.
ANTUNES, J. F. G.
author_role author
author2 JOHANN, J. A.
ANTUNES, J. F. G.
author2_role author
author
dc.contributor.none.fl_str_mv CLÓVIS CECHIM JUNIOR, Unioeste; JERRY A. JOHANN, Unioeste; JOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA.
dc.contributor.author.fl_str_mv CECHIM JUNIOR, C.
JOHANN, J. A.
ANTUNES, J. F. G.
dc.subject.por.fl_str_mv Processamento de imagem digital
Classificação supervisionada
Digital image processing
Supervised classification
Maxver
Cana de açúcar
Sensoriamento remoto
Estatística agrícola
Sugarcane
Remote sensing
Image analysis
Agricultural statistics
topic Processamento de imagem digital
Classificação supervisionada
Digital image processing
Supervised classification
Maxver
Cana de açúcar
Sensoriamento remoto
Estatística agrícola
Sugarcane
Remote sensing
Image analysis
Agricultural statistics
description ABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from moderate to strong (0.64 ≤ rs ≤ 0.80) with average agreement (dr) of 0.81. There was an increase of 2.73% (18,630 ha) in the area with sugarcane in Paraná between 2010/2011 and 2013/2014.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-22T11:11:11Z
2017-05-22T11:11:11Z
2017-05-22
2017
2017-05-22T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 21, n. 6, p. 427-432, jun. 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069839
http://dx.doi.org/10.1590/1807-1929/agriambi.v21n6p427-432
identifier_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 21, n. 6, p. 427-432, jun. 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069839
http://dx.doi.org/10.1590/1807-1929/agriambi.v21n6p427-432
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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repository.mail.fl_str_mv cg-riaa@embrapa.br
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