M
Marco Laiolo
Researcher at University of Turin
Publications - 54
Citations - 1606
Marco Laiolo is an academic researcher from University of Turin. The author has contributed to research in topics: Volcano & Magma. The author has an hindex of 18, co-authored 47 publications receiving 1192 citations. Previous affiliations of Marco Laiolo include University of Florence.
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Journal ArticleDOI
Complex hazard cascade culminating in the Anak Krakatau sector collapse.
Thomas R. Walter,Mahmud Haghshenas Haghighi,Mahmud Haghshenas Haghighi,Felix Schneider,Diego Coppola,Mahdi Motagh,Mahdi Motagh,Joachim Saul,Andrey Babeyko,Torsten Dahm,Valentin R. Troll,Frederik Tilmann,Frederik Tilmann,Sebastian Heimann,Sébastien Valade,Sébastien Valade,Rahmat Triyono,Rokhis Khomarudin,Nugraha Kartadinata,Marco Laiolo,Francesco Massimetti,Francesco Massimetti,Peter Gaebler +22 more
TL;DR: The authors show that Anak Krakatau exhibited an elevated state of activity several months prior to the collapse, including precursory thermal anomalies, an increase in the island’s surface area, and a gradual seaward motion of the southwestern flank.
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Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system
Diego Coppola,Marco Laiolo,Marco Laiolo,Corrado Cigolini,Dario Delle Donne,Dario Delle Donne,Maurizio Ripepe +6 more
TL;DR: In this paper, a new volcanic hotspot detection system, named Middle InfraRed Observation of Volcanic Activity (MIROVA), based on the analysis of infrared data acquired by the Moderate Resolution Imaging Spectroradiometer sensor (MODIS), is described.
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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.
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Radon surveys and real-time monitoring at Stromboli volcano: Influence of soil temperature, atmospheric pressure and tidal forces on 222Rn degassing
Corrado Cigolini,Pasquale Poggi,Maurizio Ripepe,Marco Laiolo,C. Ciamberlini,Dario Delle Donne,Giacomo Ulivieri,Diego Coppola,Giorgio Lacanna,Emanuele Marchetti,Davide Piscopo,Riccardo Genco +11 more
TL;DR: In this article, the authors used a network of stations to perform systematic radon surveys at Stromboli volcano and found that radon emissions reflect changes in volcanic activity and exhibit increasing trends prior and during the last major eruptive cycles.
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Rheological control on the radiant density of active lava flows and domes
TL;DR: In this paper, a single empirical parameter, defined as the "radiant density" (c rad ; in J −m −3 ) is defined to express the efficiency of an active lava body to change its area and/or to insulate its inner core, thus modulating the heat radiated from the active surface.