Zobrazeno 1 - 10 of 50 pro vyhledávání: '"Jean-Philippe Métaxian"'
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Akademický článek
Tensor-Based Learning Framework for Automatic Multichannel Volcano-Seismic Classification
Autor: Antonio Augusto Teixeira Peixoto, Carlos Alexandre Rolim Fernandes, Pablo Eduardo Espinoza Lara, Adolfo Inza, Jerome I Mars, Jean-Philippe Metaxian, Mauro Dalla Mura, Marielle Malfante
Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4517-4529 (2021)
This article proposes a supervised tensor-based learning framework for classifying volcano-seismic events from signals recorded at the Ubinas volcano, in Peru, during a period of great activity in 2009. The proposed method is fully tensorial, as it i
Externí odkaz: https://doaj.org/article/6e396025c32043e38b762bf7e8d7c5d7
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2
Akademický článek
Automatic Multichannel Volcano-Seismic Classification Using Machine Learning and EMD
Autor: Pablo Eduardo Espinoza Lara, Carlos Alexandre Rolim Fernandes, Adolfo Inza, Jerome I. Mars, Jean-Philippe Metaxian, Mauro Dalla Mura, Marielle Malfante
Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1322-1331 (2020)
This article proposes the design of an automatic classifier using the empirical mode decomposition (EMD) along with machine learning techniques for identifying the five most important types of events of the Ubinas volcano, the most active volcano in
Externí odkaz: https://doaj.org/article/cc431d801db64b19aa57d7bb89b3ddd3
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3
Using Distributed Acoustic Sensing to Monitor and Investigate Eruptive Events at Stromboli Volcano, Italy
Autor: Francesco Biagioli, Jean-Philippe Métaxian, Eléonore Stutzmann, Maurizio Ripepe, Alister Trabattoni, Pascal Bernard, Roberto Longo, Gianluca Diana, Lorenzo Innocenti, Yann Capdeville, Marie-Paul Bouin, Giorgio Lacanna
Volcano seismology is essential for understanding, monitoring, and forecasting eruptive events. The use of distributed acoustic sensing (DAS) technology can be particularly useful for this purpose because of its high temporal and spatial resolution,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::618854652cdcced3fa6277f8424ed733
https://doi.org/10.5194/egusphere-egu23-3955
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5
Imaging of a magma system beneath the Merapi Volcano complex, Indonesia, using ambient seismic noise tomography
Autor: Ahmad Ali Fahmi, Sri Widiyantoro, Nicholas Rawlinson, Z. Zulfakriza, Massita Putriastuti, Jean-Philippe Métaxian, Andri Dian Nugraha, Tedi Yudistira, François Beauducel, Agus Budi-Santoso, Antoine Laurin
Publikováno v: Geophysical Journal International
Geophysical Journal International, 2021, 226, pp.511-523. ⟨10.1093/gji/ggab104⟩
SUMMARYMt Merapi, which lies just north of the city of Yogyakarta in Java, Indonesia, is one of the most active and dangerous volcanoes in the world. Thanks to its subduction zone setting, Mt Merapi is a stratovolcano, and rises to an elevation of 29
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dda0f7567b6163ab940a943d30e2f318
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6
A machine-learning approach for automatic classification of volcanic seismicity at La Soufrière Volcano, Guadeloupe
Autor: Jean-Christophe Komorowski, Jean-Bernard de Chabalier, Alexis Falcin, Roberto Moretti, G. Ucciani, Arnaud Lemarchand, Jean-Philippe Métaxian, Jerome Mars, Céline Dessert, François Beauducel, Jean-Marie Saurel, Eléonore Stutzmann, Marielle Malfante, Arnaud Burtin
Publikováno v: Journal of Volcanology and Geothermal Research
Journal of Volcanology and Geothermal Research, 2021, 411, pp.107151. ⟨10.1016/j.jvolgeores.2020.107151⟩
Journal of Volcanology and Geothermal Research, Elsevier, 2021, 411, pp.107151. ⟨10.1016/j.jvolgeores.2020.107151⟩
International audience; The classification of seismo-volcanic signals is performed manually at La Soufrière Volcano, which is time consuming and can be biased by subjectivity of the operator. We propose here a machine-learning-based model for classi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467ed38e97d9cec8df5f542edeb8fc8e
https://hal.science/hal-03113808
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8
Simulation of Topography Effects on Rockfall‐Generated Seismic Signals: Application to Piton de la Fournaise Volcano
Autor: Luis Fabian Bonilla, Julian Kuehnert, Clément Hibert, Emmanuel Chaljub, Anne Mangeney, Philippe Kowalski, Frédéric Lauret, Yann Capdeville, Christophe Brunet, Jean-Philippe Métaxian, Patrice Boissier, Eléonore Stutzmann
Publikováno v: Journal of Geophysical Research : Solid Earth
Journal of Geophysical Research : Solid Earth, American Geophysical Union, 2020, 125 (10), ⟨10.1029/2020JB019874⟩
Journal of Geophysical Research : Solid Earth, 2020, 125 (10), ⟨10.1029/2020JB019874⟩
Seismic waves generated by rockfalls contain valuable information on the properties of these events. However, as rockfalls mainly occur in mountainous regions, the generated seismic waves can be affected by strong surface topography variations. We pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53f47442cb0e1ae9eea3bde40b0c0a40
https://hal.archives-ouvertes.fr/hal-03036404
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9
Crustal thickness beneath Mt. Merapi and Mt. Merbabu, Central Java, Indonesia, inferred from receiver function analysis
Autor: Mohamad Ramdhan, Nicholas Rawlinson, Jean-Philippe Métaxian, S. Widiyantoro, Agus Budi-Santoso, S K Suhardja
In this study, we analysed 2708 receiver functions (RFs) using data recorded by 53 seismographic stations that surround Mt. Merapi and Mt. Merbabu – two volcanos in Central Java - to map the boundary between Earth's crust and upper mantle. We obser
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0b83665b11a88acdd0ec615d849c360
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