02001nam a2200265 a 450000100080000000500110000800800410001910000190006024500870007926001400016630000160030649000460032250000530036852011310042165000120155265000190156465000130158365000250159665300120162170000230163370000200165670000170167670000190169370000230171220665132017-03-08       2016    bl uuuu     u00u1 u    #d1 aANDRADE, R. G.  aEstimation biomass of pasture areas using WorldView-2 data.h[electronic resource]  aIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapac2016  ap. 177-181.  a(Embrapa Gado de Corte. Documentos, 216).  aCoordenador: Roberto Giolo de Almeida. II SIGEE.  aThe 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.  aBiomass  aRemote sensing  aBiomassa  aSensoriamento remoto  aPasture1 aVICTORIA, D. de C.1 aNOGUEIRA, S. F.1 aGREGO, C. R.1 aBETTIOL, G. M.1 aOLIVEIRA, P. P. A.