Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts

X Fan, G Scaringi, O Korup, AJ West… - Reviews of …, 2019 - Wiley Online Library
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 …

Modelling landslide susceptibility prediction: a review and construction of semi-supervised imbalanced theory

F Huang, H ** units by hybrid factors screening and …
D Sun, Q Gu, H Wen, J Xu, Y Zhang, S Shi, M Xue… - Gondwana …, 2023 - Elsevier
To develop a better spatial prediction model of landslide susceptibility along mountain
highways, this study compared assessment models of landslide susceptibility along …

Map** landslides on EO data: Performance of deep learning models vs. traditional machine learning models

N Prakash, A Manconi, S Loew - Remote Sensing, 2020 - mdpi.com
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 …

[HTML][HTML] National-scale data-driven rainfall induced landslide susceptibility map** for China by accounting for incomplete landslide data

Q Lin, P Lima, S Steger, T Glade, T Jiang, J Zhang… - Geoscience …, 2021 - Elsevier
China is one of the countries where landslides caused the most fatalities in the last decades.
The threat that landslide disasters pose to people might even be greater in the future, due to …

[HTML][HTML] Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art

X Shao, C Xu - Natural Hazards Research, 2022 - Elsevier
Earthquake-induced landslides (EQL) can take a heavy toll on people's life and properties,
thus attracting extensive attention of the geosciences community. Carrying out earthquake …

[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory

M Loche, M Alvioli, I Marchesini, H Bakka… - Earth-Science …, 2022 - Elsevier
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …

Comparative analysis of multiple conventional neural networks for landslide susceptibility map**

B Aslam, A Zafar, U Khalil - Natural Hazards, 2023 - Springer
In landslide susceptible mountainous regions, the precondition for avoiding and alleviating
perilous dangers is the susceptibility map** of the landslide. In northern Pakistan …

Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest

Q He, M Wang, K Liu - Geomorphology, 2021 - Elsevier
Earthquake-induced landslides (EQILs) are an incredibly destructive geological disaster.
Rapid landslide susceptibility assessments are indispensable and critical for risk analysis …

Dynamic development of landslide susceptibility based on slope unit and deep neural networks

Y Hua, X Wang, Y Li, P Xu, W **a - Landslides, 2021 - Springer
Abstract The Three Gorges Reservoir is one of the areas with the most serious landslide
hazards in China. Landslide susceptibility indicates where landslides are prone to occur in …