Open AccessDOI
Pyrocko - An open-source seismology toolbox and library
Sebastian Heimann,Marius Kriegerowski,Marius Isken,Simone Cesca,Simon Daout,Francesco Grigoli,C. Juretzek,T. Megies,Nima Nooshiri,Andreas Steinberg,Henriette Sudhaus,Hannes Vasyura-Bathke,Timothy Willey,Torsten Dahm +13 more
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The article was published on 2017-01-01 and is currently open access. It has received 94 citations till now. The article focuses on the topics: Toolbox.read more
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Machine learning for data-driven discovery in solid Earth geoscience
TL;DR: Solid Earth geoscience is a field that has very large set of observations, which are ideal for analysis with machine-learning methods, and how these methods can be applied to solid Earth datasets is reviewed.
Journal ArticleDOI
Drainage of a deep magma reservoir near Mayotte inferred from seismicity and deformation
Simone Cesca,Jean Letort,Hoby N. T. Razafindrakoto,Sebastian Heimann,Eleonora Rivalta,Marius Isken,Mehdi Nikkhoo,Luigi Passarelli,Gesa Petersen,Fabrice Cotton,Torsten Dahm +10 more
TL;DR: In this article, the authors analyzed regional and global seismic and deformation data to provide a one-year-long detailed picture of a deep, rare magmatic process and identified about 7,000 volcano-tectonic earthquakes and 407 very-long-period seismic signals.
Journal ArticleDOI
Towards Global Volcano Monitoring Using Multisensor Sentinel Missions and Artificial Intelligence: The MOUNTS Monitoring System
Sébastien Valade,Andreas Ley,Francesco Massimetti,Olivier D'Hondt,Marco Laiolo,Diego Coppola,David Loibl,Olaf Hellwich,Thomas R. Walter +8 more
TL;DR: The volcano monitoring platform MOUNTS (Monitoring Unrest from Space), which aims for global monitoring, is presented, using multisensor satellite-based imagery, ground-based seismic data, and artificial intelligence (AI) to assist monitoring tasks and it is demonstrated that AI can play a key role in such monitoring frameworks.
Journal ArticleDOI
A Deep Convolutional Neural Network for Localization of Clustered Earthquakes Based on Multistation Full Waveforms
Journal ArticleDOI
Urban Seismic Site Characterization by Fiber‐Optic Seismology
TL;DR: In this paper, the authors presented a proof-of-concept demonstration by using DAS to produce high-resolution maps of the shallow subsurface with the Stanford DAS array, California.