dc.contributor.author	Markus, Balazs
dc.contributor.author	Valade, Sébastien
dc.contributor.author	Wöllhaf, Manuel
dc.contributor.author	Hellwich, Olaf
dc.date.accessioned	2023-02-06T11:00:26Z
dc.date.available	2023-02-06T11:00:26Z
dc.date.issued	2023-01-05
dc.date.updated	2023-01-31T15:07:17Z
dc.description.abstract	Volcanic sulfur dioxide (SO2) satellite observations are key for monitoring volcanic activity, and for mitigation of the associated risks on both human health and aviation safety. Automatic analysis of this data source, including robust source emission retrieval, is in turn essential for near real-time monitoring applications. We have developed fast and accurate SO2 plume classifier and segmentation algorithms using classic clustering, segmentation and image processing techniques. These algorithms, applied to measurements from the TROPOMI instrument onboard the Sentinel-5 Precursor platform, can help in the accurate source estimation of volcanic SO2 plumes originating from various volcanoes. In this paper, we demonstrate the ability of different pixel classification methodologies to retrieve SO2 source emission with a good accuracy. We compare the algorithms, their strengths and shortcomings, and present plume classification results for various active volcanoes throughout the year 2021, including examples from Etna (Italy), Sangay and Reventador (Ecuador), Sabancaya and Ubinas (Peru), Scheveluch and Klyuchevskoy (Russia), as well as Ibu and Dukono (Indonesia). The developed algorithms, shared as open-source code, contribute to improving analysis and monitoring of volcanic emissions from space.
dc.description.sponsorship	TU Berlin, Open-Access-Mittel – 2023
dc.identifier.eissn	2296-6463
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/18143
dc.identifier.uri	https://doi.org/10.14279/depositonce-16936
dc.language.iso	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc	550 Geowissenschaften	de
dc.subject.other	clustering
dc.subject.other	satellite remote sensing
dc.subject.other	semantic segmentation
dc.subject.other	SO2 volcanic plumes
dc.subject.other	volcano monitoring
dc.title	Automatic retrieval of volcanic SO2 emission source from TROPOMI products
dc.type	Article
dc.type.version	publishedVersion
dcterms.bibliographicCitation.articlenumber	1064171
dcterms.bibliographicCitation.doi	10.3389/feart.2022.1064171
dcterms.bibliographicCitation.journaltitle	Frontiers in Earth Science
dcterms.bibliographicCitation.originalpublishername	Frontiers
dcterms.bibliographicCitation.originalpublisherplace	Lausanne
dcterms.bibliographicCitation.volume	10
dcterms.rightsHolder.reference	Creative-Commons-Lizenz
tub.accessrights.dnb	free
tub.affiliation	Fak. 4 Elektrotechnik und Informatik::Inst. Technische Informatik und Mikroelektronik::FG Computer Vision & Remote Sensing
tub.publisher.universityorinstitution	Technische Universität Berlin

Automatic retrieval of volcanic SO2 emission source from TROPOMI products

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