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
• Format: Text
• Language: English
• Published: Oxford University Press 2014
• Subjects: Mineral physics; rheology; heat flow and volcanology; Grimsvotn; Eyjafjallajökull; Iceland
• Online Access: http://gji.oxfordjournals.org/cgi/content/short/198/2/697; 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...