Data/hora: 05/06/2024 02:28:49

Provedor de dados: 	86	
País: 	Brazil	
Título: 	Soybean crop area estimation by Modis/Evi data	
Autores: 	Gusso,Anibal; Formaggio,Antônio Roberto; Rizzi,Rodrigo; Adami,Marcos; Rudorff,Bernardo Friedrich Theodor.	
Data: 	2012-03-01	
Ano: 	2012	
Palavras-chave: 	Glycine max; Algorithm; Crop area; Mapping; Temporal profile.	
Resumo: 	The objective of this work was to develop a procedure to estimate soybean crop areas in Rio Grande do Sul state, Brazil. Estimations were made based on the temporal profiles of the enhanced vegetation index (Evi) calculated from moderate resolution imaging spectroradiometer (Modis) images. The methodology developed for soybean classification was named Modis crop detection algorithm (MCDA). The MCDA provides soybean area estimates in December (first forecast), using images from the sowing period, and March (second forecast), using images from the sowing and maximum crop development periods. The results obtained by the MCDA were compared with the official estimates on soybean area of the Instituto Brasileiro de Geografia e Estatística. The coefficients of determination ranged from 0.91 to 0.95, indicating good agreement between the estimates. For the 2000/2001 crop year, the MCDA soybean crop map was evaluated using a soybean crop map derived from Landsat images, and the overall map accuracy was approximately 82%, with similar commission and omission errors. The MCDA was able to estimate soybean crop areas in Rio Grande do Sul State and to generate an annual thematic map with the geographic position of the soybean fields. The soybean crop area estimates by the MCDA are in good agreement with the official agricultural statistics.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000300015	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/S0100-204X2012000300015	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.47 n.3 2012	
Fonte: 	info:eu-repo/semantics/openAccess