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Detailed File Information
TREMOrEC: a software utility for automatic classification of volcanic tremor
File Name
Data Type diagram, video excerpt, executable file
Computer Program TREMOrEC
File Size 48.75 MB - 1 file
Expert Level State-of-the-art Science
Contributor Matteo Masotti
Source No source
Resource Matrix Volcanoes
TREMOrEC carries out training and test of a Support Vector Machine (SVM) classifier. TREMOrEC is developed in Visual C++ and runs under Microsoft Windows operating systems. Ease of use and short time processing, along with the excellent performance of the SVM classifier, make this tool ideal for volcano monitoring. The development of TREMOrEC is motivated by the successful application of the SVM classifier to volcanic tremor data recorded at Mount Etna in 2001 [Masotti et al., 2006]. In that application, spectrograms of volcanic tremor were divided according to their recording date into four classes associated with different states of activity, i.e., pre-eruptive, lava fountain, eruptive, or post-eruptive. During the training, SVM learned the a-priori classification. The classifier's performance was then evaluated on test sets not considered for training. The classification results matched the actual class membership with less than 6% of error.
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