[HTML][HTML] A review of statistically-based landslide susceptibility models

P Reichenbach, M Rossi, BD Malamud, M Mihir… - Earth-science …, 2018 - Elsevier
In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …

[HTML][HTML] Landslides in a changing climate

SL Gariano, F Guzzetti - Earth-science reviews, 2016 - Elsevier
Warming of the Earth climate system is unequivocal. That climate changes affect the stability
of natural and engineered slopes and have consequences on landslides, is also …

Distribution and recurrence of warming‐induced retrogressive thaw slumps on the Central Qinghai‐Tibet plateau

D Yang, H Qiu, B Ye, Y Liu, J Zhang… - Journal of Geophysical …, 2023 - Wiley Online Library
Retrogressive thaw slumps (RTSs) have become a dominant geomorphic event in
permafrost regions due to the modern climate change. However, the roles of topographic …

Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region

Y Yi, Z Zhang, W Zhang, H Jia, J Zhang - Catena, 2020 - Elsevier
Landslides are one of the most widespread natural disasters and pose severe threats to
people, properties, and the environment in many areas. Landslide susceptibility mapping …

[HTML][HTML] An updating of landslide susceptibility prediction from the perspective of space and time

Z Chang, F Huang, J Huang, SH Jiang, Y Liu… - Geoscience …, 2023 - Elsevier
Due to the similarity of conditioning factors, the aggregation feature of landslides and the
multi-temporal landslide inventory, the spatial and temporal effects of landslides need to be …

[HTML][HTML] Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling–Benefits of exploring landslide data collection effects

S Steger, V Mair, C Kofler, M Pittore, M Zebisch… - Science of the total …, 2021 - Elsevier
Data-driven landslide susceptibility models formally integrate spatial landslide information
with explanatory environmental variables that describe predisposing factors of slope …

[HTML][HTML] Space-time landslide predictive modelling

L Lombardo, T Opitz, F Ardizzone, F Guzzetti… - Earth-science reviews, 2020 - Elsevier
Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties,
and the environment in many areas. Investigators have for long attempted to estimate …

Landslide detection based on ResU-Net with transformer and CBAM embedded: Two examples with geologically different environments

Z Yang, C Xu, L Li - Remote Sensing, 2022 - mdpi.com
An efficient method of landslide detection can provide basic scientific data for emergency
command and landslide susceptibility mapping. Compared to a traditional landslide …

Factors controlling landslide frequency–area distributions

H Tanyaş, CJ van Westen, KE Allstadt… - Earth surface …, 2019 - Wiley Online Library
A power‐law relation for the frequency–area distribution (FAD) of medium and large
landslides (eg tens to millions of square meters) has been observed by numerous authors …

A global slope unit-based method for the near real-time prediction of earthquake-induced landslides

H Tanyas, M Rossi, M Alvioli, CJ van Westen… - Geomorphology, 2019 - Elsevier
Rapid assessment of spatial distribution of earthquake-induced landslides could provide
valuable information in the emergency response phase. Previous studies proposed global …