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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