Data/hora: 19/06/2024 22:03:17

Biblioteca(s): 	Embrapa Agricultura Digital.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 1	
Data corrente: 	19/12/2013	
Data da última atualização: 	08/01/2020	
Autoria: 	COLTRI, P. P.; ZULLO JÚNIOR, J.; GONÇALVES, R. R. do V.; ROMANI, L. A. S.; PINTO, H. S.	
Afiliação: 	PRISCILA PEREIRA COLTRI, Cepagri/Unicamp; JURANDIR ZULLO JÚNIOR, Cepagri/Unicamp; RENATA RIBEIRO DO VALLE GONÇALVES, Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; HILTON SILVEIRA PINTO, Cepagri/Unicamp.	
Título: 	Coffee crop's biomass and carbon stock estimation with usage of high resolution satellites images.	
Ano de publicação: 	2013	
Fonte/Imprenta: 	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 6, n. 3, p. 1786-1795, June 2013.	
Idioma: 	Inglês	
Conteúdo: 	Abstract-Coffee is one of the most important crops in Brazil. Monitoring the crop is necessary to understand future production and a sound understanding of coffee´s biophysical properties improves such monitoring. Biophysical properties such as dry biomass can be estimated using remote sensing, including the new generation of high-resolution images (GeoEye-1, for instance). In this study we aim to investigate the relationship between vegetation indices (VI) of high-resolution images (GeoEye-1) and coffee biophysical properties, including dry biomass and carbon. The study also aims at establishing an empirical relationship between remote sensing data (vegetation indices), simple field measurements and dry biomass, allowing calculation of coffee biomass and carbon without resorting to destructive methods. Individual GeoEye-1 satellite's bands (NIR, RED and GREEN) showed significant correlation with biomass, but the best correlation occurred with vegetation index. There is a strong correlation between NDVI, RVI, GNDVI and dry biomass, allowing the estimation of coffee crops' carbon stock. RVI had correlation with plant area index (PAI). The empirical correlation was established and the forecast equation of coffee biomass was created.	
Palavras-Chave: 	Biophysical properties; Coffee arabica; Índice de vegetação; Propriedades biofísicas.	
Thesagro: 	Biomassa; Café.	
Thesaurus Nal: 	Biomass; vegetation index.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (17696-1) - UPC - AP - DD -  -  -  - DIS