02454naa a2200277 a 450000100080000000500110000800800410001910000210006024501100008126000090019152015870020065000190178765000250180665000250183165300220185665300230187865300270190165300220192870000230195070000200197370000220199370000150201570000230203070000210205377301020207419743452020-01-08       2013    bl uuuu     u00u1 u    #d1 aROMANI, L. A. S.  aA new time series mining approach applied to multitemporal remote sensing imagery.h[electronic resource]  c2013  aAbstract-In this paper, we present a novel unsupervised algorithm, called CLimate and rEmote sensing Association patteRns Miner, for mining association patterns on heterogeneous time series from climate and remote sensing data integrated in a remote sensing information system developed to improve the monitoring of sugar cane fields. The system, called RemoteAgri, consists of a large database of climate data and low-resolution remote sensing images, an image preprocessing module, a time series extraction module, and time series mining methods. The preprocessing module was projected to perform accurate geometric correction, what is a requirement particularly for land and agriculture applications of satellite images. The time series extraction is accomplished through a graphical interface that allows easy interaction and high flexibility to users. The time series mining method transforms series to symbolic representation in order to identify patterns in a multitemporal satellite images and associate them with patterns in other series within a temporal sliding window. The validation process was achieved with agroclimatic data and NOAA-AVHRR images of sugar cane fields. Results show a correlation between agroclimatic time series and vegetation index images. Rules generated by our new algorithm show the association patterns in different periods of time in each time series, pointing to a time delay between the occurrences of patterns in the series analyzed, corroborating what specialists usually forecast without having the burden of dealing with many data charts.  aRemote sensing  aTime series analysis  aSensoriamento Remoto  aAssociation rules  aImagens NOAA-AVHRR  aRegras de associação  aSéries temporais1 aAVILA, A. M. H. de1 aCHINO, D. Y. T.1 aZULLO JÚNIOR, J.1 aCHBEIR, R.1 aTRAINA JÚNIOR, C.1 aTRAINA, A. J. M.  tIEEE transactions on geoscience and remote sensing, New Yorkgv. 51, n. 1, p. 140-150, Jan. 2013.