A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO<sub>2</sub> Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model

A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO<sub>2</sub> Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model

Fast and accurate quantification of gas fluxes emitted by volcanoes is essential for the risk mitigation of explosive eruption, and for the fundamental understanding of shallow eruptive processes. Sulphur dioxide (SO<sub>2</sub>), in particular, is a reliable indicator to predict upcomin...

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Bibliographic Details
Main Authors: Charlotte Segonne, Nathalie Huret, Sébastien Payan, Mathieu Gouhier, Valéry Catoire
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
volcanic plume
SO<sub>2</sub> emission flux
passive degassing
remote sensing
spectra image classification
hyperspectral
Online Access:https://www.mdpi.com/2072-4292/12/24/4107

Internet

https://www.mdpi.com/2072-4292/12/24/4107

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