01721nam a2200325 a 450000100080000000500110000800800410001910000210006024501440008126001730022530000140039852005990041265000210101165000190103265000140105165000250106565300200109065300330111065300250114365300260116865300250119465300220121970000250124170000180126670000200128470000210130470000220132570000200134770000280136719029002020-01-24       2011    bl uuuu     u00u1 u    #d1 aROMANI, L. A. S.  aClustering analysis applied to NOAA/AVHRR multitemporal images to improve the monitoring process of sugarcane crops.h[electronic resource]  aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 6., 2011, Trento. Proceedings... Piscataway: IEEE; Italy: University of Trentoc2011  ap. 33-36.  aThis 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 clustering analysis and geospatial visualization. According to experiments accomplished with spectral images of sugarcane ?elds, this proposed approach can be satisfactorily used in crop monitoring.  aCluster analysis  aImage analysis  aSugarcane  aTime series analysis  aClusterização  aCulturas de cana-de-açúcar  aImagem multitemporal  aImagens de NOAA/AVHRR  aMineração de dados  aSéries temporais1 aGONÇALVES, R. R. V.1 aAMARAL, B. F.1 aCHINO, D. Y. T.1 aZULLO JUNIOR, J.1 aTRAINA JUNIOR, C.1 aSOUSA, E. P. M.1 aTRAINA, A. J. M. TRAINA