Título:	Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.
Autoria:	CECHIM JUNIOR, C. JOHANN, J. A. ANTUNES, J. F. G.
Afiliação:	CLÓVIS CECHIM JUNIOR, Unioeste; JERRY A. JOHANN, Unioeste; JOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA.
Ano de publicação:	2017
Referência:	Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 21, n. 6, p. 427-432, jun. 2017.
Conteúdo:	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.
Thesagro:	Cana de açúcar Sensoriamento remoto Estatística agrícola
NAL Thesaurus:	Sugarcane Remote sensing Image analysis Agricultural statistics
Palavras-chave:	Processamento de imagem digital Classificação supervisionada Digital image processing Supervised classification Maxver
Digital Object Identifier:	http://dx.doi.org/10.1590/1807-1929/agriambi.v21n6p427-432
Notas:	Agriambi.
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPTIA)