Título:	Landsat-based above ground biomass estimation in pasture area in São Paulo, Brazil.
Autoria:	SILVA, G. B. S. da TEIXEIRA, A. H. de C. NOGUEIRA, S. F. VICTORIA, D. de C. LEIVAS, J. F. HERLIN, V. R.
Afiliação:	GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; SANDRA FURLAN NOGUEIRA, CNPM; DANIEL DE CASTRO VICTORIA, CNPTIA; JANICE FREITAS LEIVAS, CNPM; Valdo R. Herlin, Universidade de São Paulo.
Ano de publicação:	2016
Referência:	In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016.
Páginas:	p. 140-144.
Conteúdo:	Brazilian Cerrado biome occupies 2,039,243 km², of which 29.5% (600,832 km2) is planted pasture area (MMA, 2015). A considerable portion of these pastures are considered degraded, thus identification and recovery of such areas could result in production gains. In the remote sensing (RS) context, pasturelands have been investigated in order to discriminate intensive and extensive grazing system areas. Intensive systems includes soil and animal management, with pasture fertilization and animal rotation in different paddocks. Extensive grazing systems do not have this management. As RS medium spatial resolution data and field measurements on biomass estimates have strong positive correlation (EDIRISINGHE et al., 2012) future researches points to assess the feasibility on grazing systems discrimination through temporal analysis. Thus, the objective of this work was to assess the Surface Algorithm for Evapotranspiration Retrieving (SAFER) potential, applied in with OLI/Landsat-8 images, to discriminate intensive and extensive grazing system areas through estimates of above ground biomass.
Thesagro:	Biomassa Pastagem Sensoriamento remoto
NAL Thesaurus:	Aboveground biomass Landsat
Palavras-chave:	SAFER
Tipo do material:	Artigo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Artigo em anais de congresso (CNPM)