Estimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model.

AUTOR(ES)
FONTE

INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES

DATA DE PUBLICAÇÃO

2011

RESUMO

Despite 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.

ASSUNTO(S)

produtividade de cana-de-açúcar séries temporais de valores ndvi imagens avhrr/noaa-17 georreferenciamento processamento de imagens ndvi sistema navpro sensoriamento remoto multitemp 2009 agricultura remote sensing phenology-spectral model

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