02071naa a2200217 a 450000100080000000500110000800800410001910000180006024501560007826000090023452013330024365300250157665300190160165300120162065300190163265300210165170000200167270000190169270000210171177301210173211263642017-08-01       2017    bl uuuu     u00u1 u    #d1 aCABRAL, G. H.  aUso de dados MODIS e do Vegetation Condition Index como instrumentos para identifica????o de seca agron??mica em Santa Catarina.h[electronic resource]  c2017  aObservation of in situ parameters can evidence the occurrence of agricultural drought, as well as vegetation cover characterization data, such as vegetation indexes (VI). The use of tools that allow getting information independent of meteorological data is indispensable for drought monitoring. The VIs are products of remote sensing and important tools that can cooperate for agricultural management. In this paper, corn yield drop data caused by agricultural drought was related with the Vegetation Condition Index (VCI), estimated from Enhanced Vegetation Index images, during the period of january 2002 to december 2015 in the state of Santa Catarina/ Brazil. Images of the vegetation index and graphs of the relationship between corn crop yield and the VCI were generated. The harvests with lower values were obtained in 2004, 2008 and 2011, whereas the best values were obtained in the harvests of 2002, 2006, 2007, 2009 and 2010. The variation of VCI values corresponded to the corn yield in almost all microregions and for most of the periods evaluated. The crop shortfall ocurred only below VCI 0,633. The coefficient of determination between yield and VCI were 0,58. The use of EVI for calculating the VCI was satisfactory, once it evidenced the most severe cases of agricultural drought in the microregions evaluated.  aagricultural drought  acrop shortfall  adrought  aRemote sensing  avegetation index1 aPOLISLEI, P. C.1 aTRABAQUINI, K.1 aMASSIGNAM, A. M.  tIn: SIMP??SIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos, SP. Anais... S??o Jos?? dos Campos: INPE, 2017.