Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

A Merghadi, AP Yunus, J Dou, J Whiteley… - Earth-Science …, 2020 - Elsevier
Landslides are one of the catastrophic natural hazards that occur in mountainous areas,
leading to loss of life, damage to properties, and economic disruption. Landslide …

[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future

AC Mondini, F Guzzetti, KT Chang, O Monserrat… - Earth-Science …, 2021 - Elsevier
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

[HTML][HTML] Scientific challenges in disaster risk reduction for the Sichuan–Tibet Railway

P Cui, Y Ge, S Li, Z Li, X Xu, GGD Zhou, H Chen… - Engineering …, 2022 - Elsevier
Abstract Traversing the Qinghai–Tibetan Plateau, the Sichuan–Tibet Railway is by far the
most difficult railway project in the world. The Qinghai–Tibetan Plateau features the most …

Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation

L Wang, T Xiao, S Liu, W Zhang, B Yang, L Chen - Gondwana Research, 2023 - Elsevier
Reliable and accurate prediction of landslide displacement is essential for early warning
systems, as well as for disaster prevention and mitigation. Machine learning and deep …

Detection and segmentation of loess landslides via satellite images: A two-phase framework

H Li, Y He, Q Xu, J Deng, W Li, Y Wei - Landslides, 2022 - Springer
Landslides are catastrophic natural hazards that often lead to loss of life, property damage,
and economic disruption. Image-based landslide investigations are crucial for determining …

[HTML][HTML] Remote sensing for landslide investigations: A progress report from China

Q Xu, B Zhao, K Dai, X Dong, W Li, X Zhu, Y Yang… - Engineering …, 2023 - Elsevier
China has a significant portion of land in landslide-prone areas, and remote sensing
technologies are becoming a tool of choice to investigate and monitor landslides. Although …

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 …

Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements

K Dai, J Deng, Q Xu, Z Li, X Shi… - GIScience & Remote …, 2022 - Taylor & Francis
Landslides are major geological hazards and frequently occur in mountainous areas with
steep slopes, often causing significant loss. Interferometric Synthetic Aperture Radar …

The formation and impact of landslide dams–State of the art

X Fan, A Dufresne, SS Subramanian, A Strom… - Earth-Science …, 2020 - Elsevier
The blocking of river courses by mass movements is very common in mountainous areas
with deep and narrow valleys. Landslide dams may pose serious threats to people and their …

Research on geological and surfacial processes and major disaster effects in the Yellow River Basin

H Lan, J Peng, Y Zhu, L Li, B Pan, Q Huang, J Li… - Science China Earth …, 2022 - Springer
Abstract The Yellow River Basin (YRB) is characterized by active geological and tectonic
processes, rapid geomorphological evolution, and distinct climatic diversity …