Simultaneous retrieval of volcanic sulphur dioxide and plume height from hyperspectral data using artificial neural networks

• Published in: Geophysical Journal International
• Main Authors: Piscini, A, Carboni, E, Grainger, RG, DEL FRATE, FABIO
• Other Authors: DEL FRATE, F, Grainger, R
• Format: Article in Journal/Newspaper
• Language: English
• Published: Oxford University Press 2014
• Subjects: Image processing; Inverse theory; Neural networks; fuzzy logic; Remote sensing of volcanoe; Volcanic gase; Volcano monitoring; Geochemistry and Petrology; Geophysics; Settore ING-INF/02 - CAMPI ELETTROMAGNETICI; Grimsvotn; Iceland
• Online Access: http://hdl.handle.net/2108/113209; https://doi.org/10.1093/gji/ggu152; http://gji.oxfordjournals.org/

Artificial neural networks (ANNs) are a valuable and well-established inversion technique for the estimation of geophysical parameters from satellite images; once trained, they help generate very fast results. Furthermore, satellite remote sensing is a very effective and safe way to monitor volcanic...