Article
Geochemistry & Geophysics
P-Y Burgi, S. Valade, D. Coppola, G. Boudoire, G. Mavonga, F. Rufino, D. Tedesco
Summary: The rise and fall of magma columns in volcanoes hosting lava lakes serves as a warning for potential eruptions. An unusual filling dynamic was observed in the pit crater of Nyamulagira volcano in the Democratic Republic of Congo, involving incremental filling by lava flows and subsequent collapse based on numerical simulations and thermal budget considerations.
EARTH AND PLANETARY SCIENCE LETTERS
(2021)
Article
Environmental Sciences
Nikola Rogic, Giuseppe Bilotta, Gaetana Ganci, James O. Thompson, Annalisa Cappello, Hazel Rymer, Michael S. Ramsey, Fabrizio Ferrucci
Summary: Spaceborne detection and measurements of high-temperature thermal anomalies enable monitoring and forecasts of lava flow propagation. To address the deficit of field and laboratory-based emissivity data for inverse and forward modelling, the emissivity of 'a'a lava samples from the 2001 Mt. Etna eruption was measured. The results show that emissivity is wavelength dependent and increases non-linearly with cooling, revealing lower values than those typically assumed for basalts.
Article
Environmental Sciences
Claudia Corradino, Eleonora Amato, Federica Torrisi, Ciro Del Negro
Summary: A data-driven algorithm based on machine learning has been developed in Google Earth Engine to map thermal anomalies associated with recent lava flows from different volcanoes around the world. The algorithm utilizes high spatial resolution images acquired by Sentinel-2 MSI and a random forest model, achieving better performance than traditional approaches and successfully detecting subtle thermal anomalies.
Article
Environmental Sciences
Sonia Calvari, Giuseppe Nunnari
Summary: The Etna volcano is monitored by the Italian Istituto Nazionale di Geofisica e Vulcanologia-Osservatorio Etneo (INGV-OE) using visible and thermal cameras. A new automated routine is presented in this paper that can accurately detect the starting and ending time, area, elevation, and erupted volume of lava fountains, providing important information for assessing volcanic activity.
Article
Environmental Sciences
Zhonghu Jiao, Xinjian Shan
Summary: This study developed a temporal integrated anomaly (TIA) method to predict pre-seismic anomalies and validated its effectiveness through retrospective testing and synthetic earthquakes. The results highlight the importance of multiparameter anomalies and reveal certain unexplained pre-seismic phenomena.
Letter
Geosciences, Multidisciplinary
Takayuki Kaneko, Atsushi Yasuda, Toshitsugu Fujii
Summary: The effusion rate of lava is a crucial eruption parameter, and establishing a continuous and rapid estimation method through satellite observation data can effectively predict volcanic hazards. Research shows that this method is applicable for effusive eruptions of low-viscosity lava, providing a means to build a rapid and precise prediction system for volcano hazard areas.
EARTH PLANETS AND SPACE
(2021)
Article
Remote Sensing
Soushi Kato, Hiroki Miyamoto, Stefania Amici, Atsushi Oda, Hiroyuki Matsushita, Ryosuke Nakamura
Summary: This study explores the potential of shortwave infrared remote sensing to detect hotspots using satellite data, proposing an automated classification method with a 92.8% overall accuracy by integrating CNN and decision tree algorithms. The study also found that for nighttime data, the overall accuracy for heat source classification reached 79.3% due to limited data availability, showing regional tendencies in hotspot occurrence were still qualitatively appropriate on a global scale.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Olga Girina, Alexander Manevich, Evgeny Loupian, Ivan Uvarov, Sergey Korolev, Aleksei Sorokin, Iraida Romanova, Lubov Kramareva, Mikhail Burtsev
Summary: Powerful explosive eruptions with volcanic ash pose a great danger to population and aircraft. Global experience in monitoring volcanoes and observing changes in their thermal anomalies can help analyze volcano activity and predict danger to population. The Kamchatka Peninsula in Russia is one of the most volcanically active regions, with 30 active volcanoes. This study analyzes thermal activity of four volcanoes and determines background activity levels and temperature difference ranges for different eruption phases.
Article
Environmental Sciences
Eleonora Amato, Claudia Corradino, Federica Torrisi, Ciro Del Negro
Summary: The latest generation of high-spatial-resolution satellites provides valuable data for monitoring volcanic activity. This study presents an automatic detection algorithm based on a deep convolutional neural network that uses infrared satellite data to identify volcanic thermal activity. The algorithm utilizes transfer learning and an ensemble approach to enhance accuracy and robustness.
Article
Geosciences, Multidisciplinary
Lisa Beccaro, Matteo Albano, Cristiano Tolomei, Claudia Spinetti, Giuseppe Pezzo, Mimmo Palano, Claudio Chiarabba
Summary: This study investigates the post-emplacement dynamics of lava flows at Mount Etna volcano using optical and radar satellite data. The results suggest that lava cooling and contraction, as well as viscous compaction of the substrate, play a major role in lava flow dynamics. Downslope sliding is also important for recent lava flows in high slope areas.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Environmental Sciences
Ali Mokhtari, Morteza Sadeghi, Yasamin Afrasiabian, Kang Yu
Summary: Satellite remote sensing technology is a promising means for monitoring crop water status and requirements in near real-time. However, thermal information is often required for estimating actual evapotranspiration (ETa), which is not available on every satellite. To address this limitation, a satellite-based ETa estimation model called OPTRAM-ET is proposed, which utilizes optical trapezoid model estimates of soil moisture and a vegetation index (VI). The model showed promising performance across different landcover types and had comparable performance to the conventional land surface temperature (LST)-VI model. Furthermore, OPTRAM-ET benefits from higher spatial and temporal resolution data provided by optical sensors, making it less computationally demanding than LST-VI model.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Aoxuan Chen, Jin Yang, Yan He, Qiangqiang Yuan, Zhengqiang Li, Liye Zhu
Summary: In this study, an ensemble machine-learning approach was developed to obtain a high spatiotemporal resolution dataset of aerosol optical depth (AOD). By filling the data gaps and using interpolation models, a full-coverage AOD dataset of three highly urbanized areas in 2020 was obtained. Validation against in-situ AOD observations showed satisfactory accuracy (R = 0.80), particularly in spring and summer. Overall, this ensemble machine-learning model provides an effective scheme for reconstructing AOD with high resolution, which can advance the near-real-time monitoring of air quality in urban areas.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Takayuki Kaneko, Fukashi Maeno, Mie Ichihara, Atsushi Yasuda, Takao Ohminato, Kenji Nogami, Setsuya Nakada, Yoshiaki Honda, Hiroshi Murakami
Summary: In December 2019, a series of new activities occurred at Nishinoshima volcano in Japan. The total eruption volume of Episode 4 was about 132 x 10(6) m(3), with an average effusion rate of 0.51 x 10(6) m(3) day(-1), which was higher than that of Episode 1. Episode 4 had three stages, with dominant effusive activity in Stage 1, intensive lava fountain in Stage 2, and continuous phreatomagmatic eruptions in Stage 3. The changes in activity can be explained by the supply of volatile-rich magma to a shallower chamber.
EARTH PLANETS AND SPACE
(2022)
Article
Geochemistry & Geophysics
Weiwei Xu, Wei Wang, Nan Wang, Biyan Chen
Summary: In this study, a new aerosol retrieval algorithm for AHI by integrating regional PM2.5 concentrations was proposed. The algorithm showed better accuracy in retrieving aerosol optical depth (AOD) compared to the existing JAXA L2 algorithm, especially during autumn in the Beijing-Tianjin-Hebei region. The algorithm also demonstrated stable performance regardless of viewing angle.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Multidisciplinary Sciences
Eric C. P. Breard, Josef Dufek, Sylvain Charbonnier, Valentin Gueugneau, Thomas Giachetti, Braden Walsh
Summary: Pyroclastic density currents (PDCs), specifically block-and-ash flows (BAFs), are the deadliest volcanic processes on Earth. However, their dynamics and the factors influencing their runout area are poorly understood. This study investigates the impact of evolving grain-size distribution on the runout of BAFs, revealing that rapid changes in grain-size distribution lead to compaction and reduction of pore volume within the first kilometers of their flow. Furthermore, the study shows how granular mixtures can experience fragmentation-induced fluidization, excess pore-fluid pressure, and reduced effective friction coefficient during the initial phase of the BAFs' runout.
NATURE COMMUNICATIONS
(2023)
Article
Geosciences, Multidisciplinary
Setsuya Nakada, Akhmad Zaennudin, Mitsuhiro Yoshimoto, Fukashi Maeno, Yuki Suzuki, Natsumi Hokanishi, Hisashi Sasaki, Masato Iguchi, Takahiro Ohkura, Hendra Gunawan, Hetty Triastuty
JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
(2019)
Article
Geosciences, Multidisciplinary
Fukashi Maeno, Setsuya Nakada, Mitsuhiro Yoshimoto, Taketo Shimano, Natsumi Hokanishi, Akhmad Zaennudin, Masato Iguchi
JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
(2019)
Article
Geosciences, Multidisciplinary
Futoshi Nanayama, Fukashi Maeno
Article
Geosciences, Multidisciplinary
Takayuki Kaneko, Fukashi Maeno, Atsushi Yasuda
JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
(2019)
Article
Geosciences, Multidisciplinary
Masatoshi Ohashi, Mie Ichihara, Fukashi Maeno, Ben Kennedy, Darren Gravley
EARTH PLANETS AND SPACE
(2020)
Article
Geosciences, Multidisciplinary
Noriko Tada, Hiroshi Ichihara, Masaru Nakano, Mitsuru Utsugi, Takao Koyama, Tatsu Kuwatani, Kiyoshi Baba, Fukashi Maeno, Akimichi Takagi, Minoru Takeo
Summary: The study utilized unmanned aerial vehicle (UAV) system to acquire aeromagnetic data and subjected it to 3D inversion to investigate the magnetization structure of Nishinoshima volcano for the first time. The results revealed two strongly magnetized bodies beneath the surface of the volcano, which may represent massive bodies of old chilled magma.
JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Nobuko Kametani, Yasuo Ishizaki, Mitsuhiro Yoshimoto, Fukashi Maeno, Akihiko Terada, Ryuta Furukawa, Ryo Honda, Yoshihiro Ishizuka, Jiro Komori, Masashi Nagai, Shinji Takarada
Summary: A small phreatic eruption occurred at Motoshirane Pyroclastic Cone Group in central Japan on January 23, 2018, ejecting ash, lapillus, and volcanic blocks. The ash spread up to 25 km ENE of the volcano, while approximately 70% of the fall deposit was located within 0.5 km of the craters due to the low height of the eruption plume.
EARTH PLANETS AND SPACE
(2021)
Article
Geosciences, Multidisciplinary
Takayuki Kaneko, Fukashi Maeno, Mie Ichihara, Atsushi Yasuda, Takao Ohminato, Kenji Nogami, Setsuya Nakada, Yoshiaki Honda, Hiroshi Murakami
Summary: In December 2019, a series of new activities occurred at Nishinoshima volcano in Japan. The total eruption volume of Episode 4 was about 132 x 10(6) m(3), with an average effusion rate of 0.51 x 10(6) m(3) day(-1), which was higher than that of Episode 1. Episode 4 had three stages, with dominant effusive activity in Stage 1, intensive lava fountain in Stage 2, and continuous phreatomagmatic eruptions in Stage 3. The changes in activity can be explained by the supply of volatile-rich magma to a shallower chamber.
EARTH PLANETS AND SPACE
(2022)
Article
Geosciences, Multidisciplinary
Fukashi Maeno, Atsushi Yasuda, Natsumi Hokanishi, Takayuki Kaneko, Yoshihiko Tamura, Mitsuhiro Yoshimoto, Shun Nakano, Akimichi Takagi, Minoru Takeo, Setsuya Nakada
Summary: The Nishinoshima eruptions in the Ogasawara Islands, Japan, offer a unique opportunity to study how the terrestrial surface increases through volcanic activity. Beginning in 2013, the growth of Nishinoshima has been sustained by the effusion of low-viscosity andesite lava flows, resulting in the formation of a new volcanic island. The eruptions occurred three times consecutively, with the final episode being the most intense, indicating the involvement of different magma mixtures.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Geosciences, Multidisciplinary
Fukashi Maeno, Sayaka Shohata, Yuki Suzuki, Natsumi Hokanishi, Atsushi Yasuda, Yuya Ikenaga, Takayuki Kaneko, Setsuya Nakada
Summary: Recent eruptions of the Shinmoedake volcano in Japan have provided an opportunity to study the transition between explosive and effusive eruptions. The eruption style transition, conduit location, and shallow magma conditions of the volcano were characterized by analyzing surface phenomena, rock compositions, and microtextural properties. The 2017-2018 eruptions were compared with the previous 2011 explosive-effusive eruption. The study provides important insights into the eruption processes and their impact on the surrounding environment.
EARTH PLANETS AND SPACE
(2023)
Article
Environmental Sciences
Fukashi Maeno, Takayuki Kaneko, Mie Ichihara, Yujiro J. Suzuki, Atsushi Yasuda, Kiwamu Nishida, Takao Ohminato
Summary: Phreatomagmatic eruptions are hazardous volcanic eruptions that involve the interaction between magma and seawater in a shallow sea environment. This study presents a high-resolution timeseries record of a significant phreatomagmatic eruption that occurred at the Fukutoku-Oka-no-Ba volcano on August 13, 2021. The eruption started on the seafloor and breached the sea surface, creating a 16 km-high eruption column. The accumulation of pyroclasts emitted during jet-seawater interactions can explain most eruption and deposit observations.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Kae Tsunematsu, Fukashi Maeno, Kouichi Nishimura
Article
Geosciences, Multidisciplinary
Yasuhisa Tajima, Setsuya Nakada, Fukashi Maeno, Toshio Huruzono, Masaaki Takahashi, Akihiko Inamura, Takeshi Matsushima, Masashi Nagai, Jun Funasaki
Article
Geosciences, Multidisciplinary
Setsuya Nakada, Fukashi Maeno, Mitsuhiro Yoshimoto, Natsumi Hokanishi, Taketo Shimano, Akhmad Zaennudin, Masato Iguchi
JOURNAL OF DISASTER RESEARCH
(2019)