01607nam a2200265 a 450000100080000000500110000800800410001910000250006024501100008526001440019530000180033952007410035765000150109865000140111365000250112765000150115265300270116765300190119465300180121365300270123165300220125870000220128070000180130270000210132019442562020-01-08       2012    bl uuuu     u00u1 u    #d1 aGONÇALVES, R. R. V.  aEVI's estimation to improve the monitoring of sugarcane using TRMM satellite data.h[electronic resource]  aIn: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEEc2012  ap. 6609-6612.  aThis paper presents an analysis of relation between EVI and TRMM data to improve the monitoring of sugarcane production in south-central Brazil. As this region has a deficient network of ground-based meteorological stations, we proposed to use TRMM satellite data in order to complete lack of data. As both data from TRMM and meteorological ground-based stations presented a high correlation, as well as there are cross-correlation between precipitation and vegetation index data, we proposed a formula to estimate EVI values from TRMM precipitation series. Results indicate the potential of using medium spatial resolution satellite in agriculture specially to regional monitoring in a country of continental dimensions such as Brazil.  aCrop yield  aSugarcane  aTime series analysis  aVegetation  aÍndice de vegetação  aPrecipitação  aPrecipitation  aRendimento de cultivos  aSéries temporais1 aZULLO JÚNIOR, J.1 aCOLTRI, P. P.1 aROMANI, L. A. S.