Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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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 |
eu_rights_str_mv |
openAccess |
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 |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503436504399872 |