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Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts
Large earthquakes initiate chains of surface processes that last much longer than the brief
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
A review of recent earthquake-induced landslides on the Tibetan Plateau
Earthquake-induced landslides, also called seismic landslides (SLs), are some of the most
catastrophic natural hazards on the Tibetan Plateau (TP). They have frequently caused …
catastrophic natural hazards on the Tibetan Plateau (TP). They have frequently caused …
The effect of location and geometric properties of landslides caused by rainstorms and earthquakes
H Qiu, L Su, B Tang, D Yang, M Ullah… - Earth Surface …, 2024 - Wiley Online Library
Landslides triggered by rainstorms and earthquakes are prominent geological hazards that
exhibit distinctive spatial and morphological characteristics due to diverse instability …
exhibit distinctive spatial and morphological characteristics due to diverse instability …
[HTML][HTML] Landslide susceptibility map** using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
AM Youssef, HR Pourghasemi - Geoscience Frontiers, 2021 - Elsevier
The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection
There is a growing demand for detailed and accurate landslide maps and inventories
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …
Landslide4sense: Reference benchmark data and deep learning models for landslide detection
O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp… - ar** landslides on EO data: Performance of deep learning models vs. traditional machine learning models
Map** landslides using automated methods is a challenging task, which is still largely
done using human efforts. Today, the availability of high-resolution EO data products is …
done using human efforts. Today, the availability of high-resolution EO data products is …
[HTML][HTML] Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence
The devastating Kahramanmaraş earthquake sequence occurred on February 6, 2023. Two
main events, M w 7.8 and M w 7.5 occurred 9 hours apart, affected 11 cities in Turkey, and …
main events, M w 7.8 and M w 7.5 occurred 9 hours apart, affected 11 cities in Turkey, and …
[HTML][HTML] Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling
For decades, the distinction between statistical models and machine learning ones has
been clear. The former are optimized to produce interpretable results, whereas the latter …
been clear. The former are optimized to produce interpretable results, whereas the latter …