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Type: Artigo de periódico
Title: Analysis of NDVI time series using cross-correlation and forecasting methods for monitoring sugarcane fields in Brazil
Author: Goncalves, Renata R. V.
Zullo, Jurandir, Jr.
Romani, Luciana A. S.
Nascimento, Cristina R.
Traina, Agma J. M.
Abstract: Brazil is the largest sugarcane producer in the world and has a privileged position to attend to national and international market places. To maintain the high production of sugarcane, it is fundamental to improve the forecasting models of crop seasons through the use of alternative technologies, such as remote sensing. Thus, the main purpose of this article is to assess the results of two different statistical forecasting methods applied to an agroclimatic index (the water requirement satisfaction index; WRSI) and the sugarcane spectral response (normalized difference vegetation index; NDVI) registered on National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA-AVHRR) satellite images. We also evaluated the cross-correlation between these two indexes. According to the results obtained, there are meaningful correlations between NDVI and WRSI with time lags. Additionally, the adjusted model for NDVI presented more accurate results than the forecasting models for WRSI. Finally, the analyses indicate that NDVI is more predictable due to its seasonality and the WRSI values are more variable making it difficult to forecast.
Editor: Taylor & Francis
Citation: International Journal of Remote Sensing. Taylor & Francis, v.33, n.15, p.4653-4672, 2012
Rights: fechado
Identifier DOI: 10.1080/01431161.2011.638334
Date Issue: 2012
Appears in Collections:FEAGRI - Artigos e Outros Documentos

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