During a volcanic eruption, large quantities of Sulphur dioxide (SO2) are sometimes emitted into the atmosphere. Rapid detection and tracking ofvolcanic SO2 clouds might be beneficial to air traffic security and to predict any correlated impact on the environment; for example, the possibility of acid rain events. Within the presented work, we exploited Sentinel-5p radiance data (Level 1 b) to detect and retrieve SO2 volcanic emissions through a neural network based algorithmthat produces rapid SO2 vertical column estimates. The dataset used for training the net was composed of 13 TROPOMI Level 2 “Offline” SO2 data collected during the Etna Volcano eruption that occurred in 2018 from 22 December to 1 January. Experimental results are very encouraging and open to the perspective ofmake available a new and stable product for monitoring atmospheric SO2 clouds on a global scale based on Sentinel-5p acquisitions.

de Santis, D., Petracca, I., Corradini, S., Guerrieri, L., Picchiani, M., Merucci, L., et al. (2021). Volcanic SO2 Near-Real Time Retrieval Using Tropomi Data and Neural Networks: The December 2018 Etna Test Case. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp.8480-8483). New York : IEEE [10.1109/IGARSS47720.2021.9554915].

Volcanic SO2 Near-Real Time Retrieval Using Tropomi Data and Neural Networks: The December 2018 Etna Test Case

de Santis D.;Petracca I.;Picchiani M.;Stelitano D.;Del Frate F.;Schiavon G.
2021-01-01

Abstract

During a volcanic eruption, large quantities of Sulphur dioxide (SO2) are sometimes emitted into the atmosphere. Rapid detection and tracking ofvolcanic SO2 clouds might be beneficial to air traffic security and to predict any correlated impact on the environment; for example, the possibility of acid rain events. Within the presented work, we exploited Sentinel-5p radiance data (Level 1 b) to detect and retrieve SO2 volcanic emissions through a neural network based algorithmthat produces rapid SO2 vertical column estimates. The dataset used for training the net was composed of 13 TROPOMI Level 2 “Offline” SO2 data collected during the Etna Volcano eruption that occurred in 2018 from 22 December to 1 January. Experimental results are very encouraging and open to the perspective ofmake available a new and stable product for monitoring atmospheric SO2 clouds on a global scale based on Sentinel-5p acquisitions.
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)
Brussels, Belgium
2021
IEEE
Rilevanza internazionale
2021
Settore ING-INF/02
Settore IINF-02/A - Campi elettromagnetici
English
Volcanic Clouds; Sulphur Dioxide; Sentinel-5p; TROPOMI; Neural Networks
Intervento a convegno
de Santis, D., Petracca, I., Corradini, S., Guerrieri, L., Picchiani, M., Merucci, L., et al. (2021). Volcanic SO2 Near-Real Time Retrieval Using Tropomi Data and Neural Networks: The December 2018 Etna Test Case. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp.8480-8483). New York : IEEE [10.1109/IGARSS47720.2021.9554915].
de Santis, D; Petracca, I; Corradini, S; Guerrieri, L; Picchiani, M; Merucci, L; Stelitano, D; Del Frate, F; Prata, F; Schiavon, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/391724
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