[HTML][HTML] Landslide susceptibility mapping using machine learning: A literature survey

M Ado, K Amitab, AK Maji, E Jasińska, R Gono… - Remote Sensing, 2022 - mdpi.com
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …

[HTML][HTML] Landslide susceptibility mapping and dynamic response along the Sichuan-Tibet transportation corridor using deep learning algorithms

W Huang, M Ding, Z Li, J Yu, D Ge, Q Liu, J Yang - Catena, 2023 - Elsevier
Landslides are one of the most serious natural hazards along the Sichuan-Tibet
transportation corridor, which crosses the most complicated region in the world in terms of …

Landslide risk evaluation in Shenzhen based on stacking ensemble learning and InSAR

B Gao, Y He, X Chen, X Zheng, L Zhang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Construction activities of accelerated urbanization in Shenzhen have increased the
landslide risk area, which has intensified the potential threat to human and natural …

Exploring the uncertainty of landslide susceptibility assessment caused by the number of non–landslides

Q Liu, A Tang, D Huang - Catena, 2023 - Elsevier
Identifying the uncertainty caused by the number of non-landslides is necessary to obtain a
precise landslide susceptibility map. Hence, the objective of this study is to investigate the …

Insights into landslide development and susceptibility in extremely complex alpine geoenvironments along the western Sichuan–Tibet Engineering Corridor, China

S Zhao, F Dai, J Deng, H Wen, H Li, F Chen - Catena, 2023 - Elsevier
Abstract The Sichuan–Tibet Engineering Corridor (STEC), which provides the key function of
transportation between the plain and plateau regions, is subjected to widely distributed …

Impact assessment of geohazards triggered by 6 February 2023 Kahramanmaras Earthquakes (Mw 7.7 and Mw 7.6) on the natural gas pipelines

EO Unal, S Kocaman, C Gokceoglu - Engineering Geology, 2024 - Elsevier
The safe operation of pipelines transporting natural gas is crucial to meet the energy
demands of modern societies, but geohazards pose significant challenges to their integrity …

Landslide susceptibility assessment model construction using typical machine learning for the Three Gorges Reservoir Area in China

J Cheng, X Dai, Z Wang, J Li, G Qu, W Li, J She… - Remote Sensing, 2022 - mdpi.com
The Three Gorges Reservoir region in China is the Yangtze River Economic Zone's natural
treasure trove. Its natural environment has an important role in development. The unique …

A hybrid multi-hazard susceptibility assessment model for a basin in Elazig Province, Türkiye

G Karakas, S Kocaman, C Gokceoglu - International Journal of Disaster …, 2023 - Springer
Preparation of accurate and up-to-date susceptibility maps at the regional scale is
mandatory for disaster mitigation, site selection, and planning in areas prone to multiple …

[HTML][HTML] Co-seismic landslide hazard assessment of Uttarakhand state (India) based on the modified Newmark model

K Gupta, N Satyam - Journal of Asian Earth Sciences: X, 2022 - Elsevier
Co-seismic landslides are the most dangerous geological hazards in seismically active
mountainous regions. These landslides cause damage to roads, drainage pipelines …

Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes

G Karakas, EO Unal, S Cetinkaya, NT Ozcan… - Soil Dynamics and …, 2024 - Elsevier
Landslide susceptibility assessment is a complex challenge explored by various scientists,
but not fully resolved. In this study, we produced the landslide susceptibility map of a large …