02051nam a2200325 a 450000100080000000500110000800800410001910000220006024501410008226001540022330000160037750000200039352009330041365000190134665000140136565000250137965000160140465000210142065000250144165300240146665300210149065300260151165300290153765300340156665300380160065300190163870000250165770000220168270000210170412566132020-01-15       2009    bl uuuu     u00u1 u    #d1 aNASCIMENTO, C. R.  aEstimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model.h[electronic resource]  aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConnc2009  ap. 365-372.  aMultiTemp 2009.  aDespite the economic and social importance of agribusiness in Brazil, the accurate estimation of the production of its main agricultural crops, such as sugar cane, is still a big challenge to the Country. Thus this work has the objective to assess a methodology based on the use of a phenology-spectral model proposed by Pellegrino (2001) and a time series of NDVI values. The tests were performed for three crop seasons (2003/2004, 2004/2005 e 2005/2006) and four cities located in the State of Sao Paulo (Jaboticabal, Pitangueiras, Ribeirao Preto and Sertaozinho) that is the main producer of sugar cane in Brazil. Reference values for productivity were provided by the IBGE (National Institute of Geography and Statistics). The methodology can be used to support operational systems of crop monitoring and forecasting since the estimation errors were less than 5% and the anticipation was from 110 to 150 days before harvest.  aRemote sensing  aSugarcane  aTime series analysis  aAgricultura  aCana de açúcar  aSensoriamento remoto  aGeorreferenciamento  aImage processing  aImagens AVHRR/NOAA-17  aPhenology-spectral model  aProcessamento de imagens NDVI  aSéries temporais de valores NDVI  aSistema NAVPro1 aGONÇALVES, R. R. V.1 aZULLO JÚNIOR, J.1 aROMANI, L. A. S.