Data/hora: 10/06/2024 02:49:22

Provedor de dados: 	86	
País: 	Brazil	
Título: 	Modis time series for irrigated-area mapping in hydrographic basins of the Brazilian Northeastern region	
Autores: 	Ide,Andre Keiiti; Baptista,Gustavo Macedo de Mello.	
Data: 	2018-01-01	
Ano: 	2018	
Palavras-chave: 	Agricultural and environmental planning; EVI; Remote sensing; Semiarid; Vegetation index; Water resources management.	
Resumo: 	Abstract: The objective of this work was to evaluate the applicability of time series of the enhanced vegetation index (EVI), from the moderate resolution imaging spectroradiometer (Modis), in the mapping of irrigated areas in the Northeastern region of Brazil. Annual time series from 2006 to 2015 were classified with the iterative self-organizing data analysis technique (Isodata) algorithm, generating a binary map of irrigated and nonirrigated areas for each year. In the Sertão region, the classification showed an average kappa coefficient of 0.66, underestimating the irrigated area by 7.6%, compared with data of the 2006 agricultural census. In regions more humid than the Sertão, such as Agreste and Zona da Mata Nordestina, the methodology showed limitations to distinguish irrigated areas from natural vegetation, presenting average kappa coefficients of 0.26 and 0.00, respectively. The EVI time series from Modis are applicable for the mapping of irrigated areas in the Sertão of the Northeastern region of Brazil.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000100080	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/s0100-204x2018000100009	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.53 n.1 2018	
Fonte: 	info:eu-repo/semantics/openAccess