[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] 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 …

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] Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer …

W Chen, H Hong, M Panahi, H Shahabi, Y Wang… - Applied Sciences, 2019 - mdpi.com
The most dangerous landslide disasters always cause serious economic losses and human
deaths. The contribution of this work is to present an integrated landslide modelling …

Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China

H Xiong, C Ma, M Li, J Tan, Y Wang - Science of the total environment, 2023 - Elsevier
China has been subject to rapid urban expansion and afforestation since the economic
reform in 1978. However, the influence of land use and cover changes (LUCCs) and human …

Refined landslide susceptibility analysis based on InSAR technology and UAV multi-source data

C Cao, K Zhu, P Xu, B Shan, G Yang, S Song - Journal of Cleaner …, 2022 - Elsevier
Landslide susceptibility analysis at the regional scale is the focus of landslide risk
management. To obtain more accurate and guiding significance results of landslide …

Landslide susceptibility mapping along the China Pakistan Economic Corridor (CPEC) route using multi-criteria decision-making method

A Maqsoom, B Aslam, U Khalil, ZA Kazmi… - Modeling Earth Systems …, 2022 - Springer
This study maps the landslide susceptibility along the China–Pakistan Economic Corridor
(CPEC) route using multiple landslide causative factors. A decisive statistical approach and …

[HTML][HTML] Chrono-validation of near-real-time landslide susceptibility models via plug-in statistical simulations

L Lombardo, H Tanyas - Engineering geology, 2020 - Elsevier
The idea behind any validation scheme in landslide susceptibility studies is to test whether a
model calibrated on a certain data can predict an unknown dataset of the same nature …