The purpose of this work is to assess the sugarcane yield variation in regional scale through NDVI images from a low resolution spatial satellite. We have used Principal Component Analysis (PCA) and Cluster Analysis to correlate sugarcane cultivated land with multitemporal NDVI images also verifying the influence of climate conditions to them. According to both techniques (PCA and clustering...

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This paper discusses how to take advantage of clustering techniques to analyze and extract useful information from multitemporal images of low spatial resolution satellites to monitor the sugarcane expansion. Additionally, we introduce the SatImagExplorer system that was developed to automatically extract time series from a huge volume of remote sensing images as well as provide algorithms of clus...

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Brazil is the first world producer of sugar cane. The State of Sao Paulo is the first national producer of sugar cane, contributing with more than 60% of national production. Due to the high relevance of production, it is important to have insurance estimates and surveys of areas cultivated with the crop. The progress of the different remote sensing techniques has allowed to use satellite images t...

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