Data/hora: 18/06/2024 02:13:26

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	07/01/2013	
Data da última atualização: 	08/01/2020	
Autoria: 	GONÇALVES, R. R. V.; ZULLO JÚNIOR, J.; COLTRI, P. P.; ROMANI, L. A. S.	
Afiliação: 	Cepagri/Unicamp; Cepagri/Unicamp; Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA.	
Título: 	EVI's estimation to improve the monitoring of sugarcane using TRMM satellite data.	
Ano de publicação: 	2012	
Fonte/Imprenta: 	In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEE, 2012.	
Páginas: 	p. 6609-6612.	
Idioma: 	Inglês	
Conteúdo: 	This paper presents an analysis of relation between EVI and TRMM data to improve the monitoring of sugarcane production in south-central Brazil. As this region has a deficient network of ground-based meteorological stations, we proposed to use TRMM satellite data in order to complete lack of data. As both data from TRMM and meteorological ground-based stations presented a high correlation, as well as there are cross-correlation between precipitation and vegetation index data, we proposed a formula to estimate EVI values from TRMM precipitation series. Results indicate the potential of using medium spatial resolution satellite in agriculture specially to regional monitoring in a country of continental dimensions such as Brazil.	
Palavras-Chave: 	Índice de vegetação; Precipitação; Precipitation; Rendimento de cultivos; Séries temporais.	
Thesaurus Nal: 	Crop yield; Sugarcane; Time series analysis; Vegetation.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (17100-1) - UPC - AA - DD -  -  -  - DIS