Data/hora: 18/05/2024 06:13:19

Biblioteca(s): 	Embrapa Unidades Centrais.	
Data corrente: 	06/08/2012	
Data da última atualização: 	15/08/2017	
Autoria: 	GUSSO, A.; FORMAGGIO, A. R.; RIZZI, R.; ADAMI, M.; RUDORFF, B. F. T.	
Afiliação: 	ANIBAL GUSSO, Instituto Nacional de Pesquisas Espaciais; ANTÔNIO ROBERTO FORMAGGIO, Instituto Nacional de Pesquisas Espaciais; RODRIGO RIZZI, Instituto Nacional de Pesquisas Espaciais; MARCOS ADAMI, Instituto Nacional de Pesquisas Espaciais; BERNARDO FRIEDRICH THEODOR RUDORFF, Instituto Nacional de Pesquisas Espaciais.	
Título: 	Soybean crop area estimation by Modis/Evi data.	
Ano de publicação: 	2012	
Fonte/Imprenta: 	Pesquisa Agropecuaria Brasileira, Brasília, DF, v. 47, n. 3, p. 425-435, mar. 2012.	
Idioma: 	Inglês	
Notas: 	Título em português: Estimativa de áreas de cultivo de soja por meio de dados Modis/Evi.	
Conteúdo: 	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.	
Palavras-Chave: 	Algoritmo; Área agrícola; Crop area; Perfil temporal; Temporal profile.	
Thesagro: 	Glycine Max; Mapa; Soja.	
Thesaurus Nal: 	Algorithms.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/63040/1/Soybean-crop-area.pdf	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (53300-1) - UPE - AP - PP - 63072081 - P474 -  - DIS