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 …

Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning

F Caleca, P Confuorto, F Raspini, S Segoni… - Science of the total …, 2024 - Elsevier
Extreme rainfall events represent one of the main triggers of landslides. As climate change
continues to reshape global weather patterns, the frequency and intensity of such events are …

Integrated approach for landslide risk assessment using geoinformation tools and field data in Hindukush mountain ranges, Northern Pakistan

NA Shah, M Shafique, M Ishfaq, K Faisal… - Sustainability, 2023 - mdpi.com
Landslides are one of the most recurring and damaging natural hazards worldwide, with
rising impacts on communities, infrastructure, and the environment. Landslide hazard …

A simplified semi-quantitative procedure based on the SLIP model for landslide risk assessment: The case study of Gioiosa Marea (Sicily, Italy)

MPA Gatto, V Lentini, L Montrasio, F Castelli - Landslides, 2023 - Springer
Landslide risk assessment is fundamental in identifying risk areas, where mitigation
measures must be introduced. Most of the existing methods are based on susceptibility …

Study of direct and indirect risk assessment of landslide impacts on ultrahigh-voltage electricity transmission lines

C Huang, K Yin, X Liang, L Gui, B Zhao, Y Liu - Scientific Reports, 2024 - nature.com
Ultrahigh-voltage electricity systems are a vital part of energy networks, often across wide
regions passing through mountainous terrains. The instability of slopes forming tower …

Socio-geoenvironmental vulnerability index (SGeoVI) derived from hybrid modeling related to populations at-risk to landslides

FF de Ávila, RC Alvalá, RM Mendes, DJ Amore - Natural Hazards, 2024 - Springer
In the present study, we propose a transdisciplinary investigation aimed at develo** an
index to assess the vulnerability to landslides in the Brazilian municipality of São José dos …

Human settlement pressure drives slow‐moving landslide exposure

JV Ferrer, G Samprogna Mohor, O Dewitte… - Earth's …, 2024 - Wiley Online Library
A rapidly growing population across mountain regions is pressuring expansion onto steeper
slopes, leading to increased exposure of people and their assets to slow‐moving landslides …

[HTML][HTML] Landslide Risk Assessment in Eastern Kentucky, USA: Develo** a Regional Scale, Limited Resource Approach

MM Crawford, JM Dortch, HJ Koch, Y Zhu… - Remote Sensing, 2022 - mdpi.com
Rapidly changing remote sensing technologies (lidar, aerial photography, satellites) provide
opportunities to improve regional-scale landslide risk map**. However, data limitations …

Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir …

Y Song, Y Li, Y Zou, R Wang, Y Liang, S Xu… - Environmental Earth …, 2024 - Springer
This study conducts an in-depth exploration of the efficacy of deep learning and ensemble
learning techniques for slope-unit-based landslide susceptibility prediction within the context …

Evaluation of geo-hazard risks in the pearl river delta based on geographic information system and weighted informativeness approach

B Tang, H Ren, J Qiu, C Miao, Y Chen - Frontiers in Environmental …, 2024 - frontiersin.org
The implementation of the provincial geo-hazard risk survey in China holds significant
guiding importance in assessing disaster risks on a large scale and across different regions …