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Earthquake-induced landslides are among the most destructive cascading hazards, yet the physical mechanisms governing their spatial distribution and size remain incompletely understood. While amplification of seismic waves by local…

Geophysics · Physics 2026-01-19 Ashok Dahal

In this paper, we investigate earthquake-induced landslides using a geostatistical model that includes a latent spatial effect (LSE). The LSE represents the spatially structured residuals in the data, which are complementary to the…

Applications · Statistics 2019-09-04 Luigi Lombardo , Haakon Bakka , Hakan Tanyas , Cees van Westen , P. Martin Mai , Raphael Huser

Ground motion scenarios exists for most of the seismically active areas around the globe. They essentially correspond to shaking level maps at given earthquake return times which are used as reference for the likely areas under threat from…

Applications · Statistics 2020-04-02 Luigi Lombardo , Hakan Tanyas

In this letter, we use deep-learning convolution neural networks (CNNs) to assess the landslide mapping and classification performances on optical images (from Sentinel-2) and SAR images (from Sentinel-1). The training and test zones used…

Computer Vision and Pattern Recognition · Computer Science 2022-02-16 Lorenzo Nava , Oriol Monserrat , Filippo Catani

Aftershocks of aftershocks - and their aftershock cascades - substantially contribute to the increased seismicity rate and the associated elevated seismic hazard after the occurrence of a large earthquake. Current state-of-the-art…

Geophysics · Physics 2024-11-07 Leila Mizrahi , Dario Jozinović

Earthquake monitoring is necessary to promptly identify the affected areas, the severity of the events, and, finally, to estimate damages and plan the actions needed for the restoration process. The use of seismic stations to monitor the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Daniele Rege Cambrin , Paolo Garza

Short and long range interactions between earthquakes are attracting increasing interest. Scale invariant properties of seismicity in time, space and energy argue for the presence of complex triggering mechanisms where, like a cascade…

Geophysics · Physics 2007-05-23 Patrizia Tosi , Valerio De Rubeis , Vittorio Loreto , Luciano Pietronero

Over the last decades strong efforts have been made to apply new spaceborn technologies to the study and possible forecast of strong earthquakes. In this study we use ASTER/TERRA multispectral satellite images for detection and analysis of…

Geophysics · Physics 2007-06-14 A. A. Arellano-Baeza , R. V. Garcia , M. Trejo-Soto

The vast majority of landslide susceptibility studies assumes the slope instability process to be time-invariant under the definition that "the past and present are keys to the future". This assumption may generally be valid. However, the…

Applications · Statistics 2020-04-02 Luguang Luo , Luigi Lombardo , Cees van Westen , Xiangjun Pei , Runqiu Huang

The 2023 M7.8 Kahramanmara\c{s}/Pazarcik earthquake was larger and more destructive than what had been expected. Here we analyzed near-field seismic records and developed a dynamic rupture model that reconciles different currently…

The effects on structures of the earthquake with magnitude 7.8 on the Richter scale (moment magnitude scale) which took place in Pazarcik, Kahramanmaras, Turkiye at 04:17 a.m. local time (01:17 UTC) on February 6, 2023, are investigated by…

Geophysics · Physics 2024-10-29 George Papazafeiropoulos , Vagelis Plevris

I study a recently proposed statistical model of earthquake dynamics that incorporates aging as a fundamental ingredient. The model is known to generate earthquake sequences that quantitatively reproduce the spatial and temporal clustering…

Statistical Mechanics · Physics 2015-05-19 E. A. Jagla

The most adopted definition of landslide hazard combines spatial information about landslide location (susceptibility), threat (intensity), and frequency (return period). Only the first two elements are usually considered and estimated when…

Machine Learning · Computer Science 2024-01-26 Ashok Dahal , Raphaël Huser , Luigi Lombardo

We present two models for estimating the probabilities of future earthquakes in California, to be tested in the Collaboratory for the Study of Earthquake Predictability (CSEP). The first, time-independent model, modified from Helmstetter et…

Geophysics · Physics 2009-10-28 M. J. Werner , A. Helmstetter , D. D. Jackson , Y. Y. Kagan

We evaluate the forecasting performance of a deep learning model, originally introduced as a pattern-extraction framework, that operates on the spatiotemporal evolution of seismic b-values in a short-term forecasting context. Model output…

Geophysics · Physics 2026-03-04 Jonas Köhler , Wei Li , Johannes Faber , Georg Rümpker , Nishtha Srivastava

Earthquakes cause lasting changes in static equilibrium, resulting in global deformation fields that can be observed. Consequently, deformation measurements such as those provided by satellite based InSAR monitoring can be used to infer an…

Geophysics · Physics 2022-06-01 G. J. van Zwieten , E. H. van Brummelen , R. F. Hanssen

Scaling analysis reveals striking regularities in earthquake occurrence. The time between any one earthquake and that following it is random, but it is described by the same universal-probability distribution for any spatial region and…

Condensed Matter · Physics 2009-11-10 Alvaro Corral

We report precursory seismic patterns prior to the 2016 Kumamoto earthquakes, as measured by four different methods based on changes in seismicity that can be used for earthquake forecasting: the b-value method, two methods of seismic…

Geophysics · Physics 2016-11-08 K. Z. Nanjo , J. Izutsu , Y. Orihara , N. Furuse , S. Togo , H. Nitta , T. Okada , R. Tanaka , M. Kamogawa , T. Nagao

Earthquakes are a major threat to nations worldwide. Earthquake detection is an important scientific challenge, not only for its social impacts, but also since it reflects the actual degree of understanding of the physical processes…

Geophysics · Physics 2023-05-05 Yosef Ashkenazy , Ittai Kurzon , Eitan Asher

This study presents a comprehensive framework for modelling earthquake-induced landslides (EQILs) through a channel-based analysis of landslide centroid distributions. A key innovation is the incorporation of the normalised channel…

Applications · Statistics 2025-07-14 Man Ho Suen , Mark Naylor , Simon Mudd , Finn Lindgren
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