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

• Published in: Geophysical Journal International
• Main Authors: Piscini, Alessandro, Carboni, Elisa, Del Frate, Fabio, Grainger, Roy Gordon
• Other Authors: Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia, #PLACEHOLDER_PARENT_METADATA_VALUE#
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2014
• Subjects: Grimsvotn; Eyjafjallajökull; Iceland
• Online Access: http://hdl.handle.net/2122/10930; https://doi.org/10.1093/gji/ggu152

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...