Data/hora: 20/06/2024 03:33:36

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	07/01/2013	
Data da última atualização: 	08/01/2020	
Autoria: 	COLTRI, P. P.; ZULLO JÚNIOR, J.; GONÇALVES, R. R. V.; ROMANI, L. A. S.; PINTO, H. S.	
Afiliação: 	Cepagri/Unicamp; Cepagri/Unicamp; Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; Cepagri/Unicamp.	
Título: 	Carbon stock estimation in coffee crops using high resolution satellites.	
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. 6657-6660.	
Idioma: 	Inglês	
Notas: 	IGARSS 2012.	
Conteúdo: 	ABSTRACT: According to IPCC, the increase of greenhouse gases emissions (GHG) in atmosphere is causing global warming, and this phenomenon could increase global temperature. In tropical areas of Brazil, the air temperature is supposed to increase from 1.1oC to 6.4oC causing large impacts in agricultures areas, including coffee production regions. The main objective of this paper was quantify the biomass of Arabica coffee trees above-ground (and carbon stock) using the vegetation index NDVI based on a high resolution image (Geoeye-1) and biophysical measures of coffee trees. In addition, the study aimed to establish an empirical relationship between biophysical measures of Arabica coffee trees, remote sensing data and dry biomass. The study was conducted in the south of Minas Gerais, which is the main producing region of Arabica coffee in Brazil. It was conclude that NDVI based on images of high spatial resolution, such as from Geoeye-1 satellite, has a strong correlation with dry biomass and carbon sink, showing that it is possible to estimate the carbon stock of coffee crops using remote sensing data without destructive methods.	
Thesagro: 	Biomassa; Café; Coffea Arábica; Sensoriamento Remoto.	
Thesaurus Nal: 	Biomass; Remote sensing.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (17099-1) - UPC - AA - DD -  -  -  - DIS