Neural network multispectral satellite images classification of volcanic ash plumes in a cloudy scenario

• Published in: Annals of Geophysics
• Main Authors: Matteo Picchiani, Marco Chini, Stefano Corradini, Luca Merucci, Alessandro Piscini, Fabio Del Frate
• Format: Article in Journal/Newspaper
• Language: English
• Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2015
• Subjects: Neural Networks; Volcanic Ash detection; BTD; Meteorology. Climatology; QC851-999; Geophysics. Cosmic physics; QC801-809; Jökull; Eyjafjallajökull
• Online Access: https://doi.org/10.4401/ag-6638; https://doaj.org/article/9efbea6f566d43bb9085e707483499b3

This work shows the potential use of neural networks in the characterization of eruptive events monitored by satellite, through fast and automatic classification of multispectral images. The algorithm has been developed for the MODIS instrument and can easily be extended to other similar sensors. Si...