02103nam a2200301 a 450000100080000000500110000800800410001902000220006010000180008224501090010026002150020930000160042450000160044052010380045665000190149465000250151365000250153865300160156365300250157965300250160465300290162965300360165870000200169470000210171470000250173570000210176070000200178120017112020-01-08       2014    bl uuuu     u00u1 u    #d  a978-989-758-027-71 aAMARAL, B. F.  aThe SITSMining frameworkba data mining approach for satellite image time series.h[electronic resource]  aIn: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 16.; INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING, 9., 2014, Lisbon. Proceedings... [S.l.]: Scitepressc2014  ap. 225-232.  aICEIS 2014.  aAbstract: The amount of data generated and stored in many domains has increased in the last years. In remote sensing, this scenario of bursting data is not different. As the volume of satellite images stored in databases grows, the demand for computational algorithms that can handle and analyze this volume of data and extract useful patterns has increased. In this context, the computational support for satellite images data analysis becomes essential. In this work, we present the SITSMining framework, which applies a methodology based on data mining techniques to extract patterns and information from time series obtained from satellite images. In Brazil, as the agricultural production provides great part of the national resources, the analysis of satellite images is a valuable way to help crops monitoring over seasons, which is an important task to the economy of the country. Thus, we apply the framework to analyze multitemporal satellite images, aiming to help crop monitoring and forecasting of Brazilian agriculture.  aRemote sensing  aTime series analysis  aSensoriamento Remoto  aData mining  aImagens de satélite  aMineração de dados  aMultivariate time series  aSéries temporais multivariadas1 aCHINO, D. Y. T.1 aROMANI, L. A. S.1 aGONÇALVES, R. R. V.1 aTRAINA, A. J. M.1 aSOUSA, E. P. M.