Data/hora: 27/05/2024 15:56:29

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	24/01/2017	
Data da última atualização: 	21/01/2020	
Autoria: 	ANDRADE, R. G.; VICTORIA, D. de C.; NOGUEIRA, S. F.; GREGO, C. R.; BETTIOL, G. M.; OLIVEIRA, P. P. A.	
Afiliação: 	RICARDO GUIMARÃES ANDRADE, CNPGL; DANIEL DE CASTRO VICTORIA, CNPTIA; SANDRA FURLAN NOGUEIRA, CNPM; CÉLIA REGINA GREGO, CNPM; GIOVANA MARANHÃO BETTIOL, CPAC; PATRICIA PERONDI ANCHÃO OLIVEIRA, CPPSE.	
Título: 	Estimation biomass of pasture areas using WorldView-2 data.	
Ano de publicação: 	2016	
Fonte/Imprenta: 	In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016.	
Páginas: 	p. 177-181.	
Série: 	(Embrapa Gado de Corte. Documentos, 216).	
ISSN: 	1983-974X	
Idioma: 	Inglês	
Notas: 	Coordenador: Roberto Giolo de Almeida. II SIGEE.	
Conteúdo: 	The sustainable use of pastures is of fundamental importance, given that a considerable part of the Brazilian pastures may be in process of degradation or degraded (Andrade et al., 2016). In general, the use of pastures is characterized by extractivism, with few producers who invest in the recovery of the productive potential of pastures and adopting less  impactful technologies to the environment. Thus, the intensification of pastoral production systems can be adopted as a viable option to minimize the pressure on opening new areas of agricultural production and reduce the emission of gases causing the greenhouse effect (Barcellos et al., 2008). However, identify areas of pasture that have low production potential can be one of the challenges for large-scale implementation of efficient government policies with the adoption of strategic mitigation measures. In this context, remote sensing data can assist with relevant information for decision making in various scales of time and space. Given the above, aimed to apply data from WorldView-2 sensor and meteorological data to estimate the biomass of pasture areas.	
Palavras-Chave: 	Pasture.	
Thesagro: 	Biomassa; Sensoriamento remoto.	
Thesaurus Nal: 	Biomass; Remote sensing.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (19101-1) - UPC - PC - DD -  -  -  - DIS