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Type: Artigo de periódico
Title: Vegetation Index From Modis Sensor To Estimate Sugarcane Yield [Índice De Vegetação Do Sensor Modis Na Estimativa Da Produtividade Agrícola Da Cana-de-açúcar]
Author: Picoli M.C.A.
Rudorff B.F.T.
Rizzi R.
Giarolla A.
Abstract: The contribution of sugarcane crop to provide raw material to produce sugar and also alcohol as an alternative energy source has been relevant to the economic growth of Brazil. Therefore, the availability of precise agricultural production information about this crop is important for planning and decision-making in the entire productive chain. The present work has the objective to estimate sugarcane yield in crop fields during the crop years 2004/2005 and 2005/2006, based on an agronomic model fit with orbital data. The innovation of this model consists in the use of the leaf area index (LAI) estimated from the NDVI (Normalized Difference Vegetation Index) produced by the MODIS sensor (Moderate Resolution Imaging Spectroradiometer) on board of the Terra satellite from NASA (National Aeronautics Space Administration). The agronomic model explained 31% and 25% of the yield variability among crop fields for the crop years 2004/2005 and 2005/2006, respectively, which is mainly attributed to use of NDVI images from MODIS. The model output should be useful to improve the precision of the crop yield estimation forecast performed in loco.
Rights: aberto
Identifier DOI: 
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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