Data/hora: 12/06/2024 07:00:54

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	22/05/2017	
Data da última atualização: 	22/05/2017	
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.	
Título: 	Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 21, n. 6, p. 427-432, jun. 2017.	
DOI: 	http://dx.doi.org/10.1590/1807-1929/agriambi.v21n6p427-432	
Idioma: 	Inglês	
Notas: 	Agriambi.	
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 &#8804; rs &#8804; 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.	
Palavras-Chave: 	Classificação supervisionada; Digital image processing; Maxver; Processamento de imagem digital; Supervised classification.	
Thesagro: 	Cana de açúcar; Estatística agrícola; Sensoriamento remoto.	
Thesaurus Nal: 	Agricultural statistics; Image analysis; Remote sensing; Sugarcane.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/160105/1/AP-Mapping-Cechim-Agriambi-2017.pdf	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (19229-1) - UPC - AP - DD -  -  -  - DIS