SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan

I Kulsoom, W Hua, S Hussain, Q Chen, G Khan… - Scientific reports, 2023 - nature.com
Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters,
threatening its regular operations. Predicting landslides along the KKH is challenging due to …

Landslide susceptibility mapping using machine learning algorithm validated by persistent scatterer In-SAR technique

MA Hussain, Z Chen, Y Zheng, M Shoaib, SU Shah… - Sensors, 2022 - mdpi.com
Landslides are the most catastrophic geological hazard in hilly areas. The present work
intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern …

Landslide susceptibility assessment of a part of the Western Ghats (India) employing the AHP and F-AHP models and comparison with existing susceptibility maps

SB Bhagya, AS Sumi, S Balaji, JH Danumah… - Land, 2023 - mdpi.com
Landslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in
the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives …

Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination

HR Pourghasemi, S Pouyan, M Bordbar, F Golkar… - Natural Hazards, 2023 - Springer
Protection against natural hazards (ie, floods, landslides, forest fires, and earthquakes) is
vital in land-use planning, especially in high-risk areas. Multi-hazard susceptibility maps can …

Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM …

EK Sahin - Stochastic Environmental Research and Risk …, 2023 - Springer
Various machine learning (ML) techniques have been recommended and used in the
literature to produce landslide susceptibility map (LSM). On the other hand, feature …

Deep learning and machine learning models for landslide susceptibility mapping with remote sensing data

MA Hussain, Z Chen, Y Zheng, Y Zhou, H Daud - Remote Sensing, 2023 - mdpi.com
Karakoram Highway (KKH) is an international route connecting South Asia with Central Asia
and China that holds socio-economic and strategic significance. However, KKH has extreme …

Slope stability prediction method based on intelligent optimization and machine learning algorithms

Y Yang, W Zhou, IM Jiskani, X Lu, Z Wang, B Luan - Sustainability, 2023 - mdpi.com
Slope engineering is a type of complex system engineering that is mostly involved in water
conservancy and civil and mining engineering. Moreover, the link between slope stability …

Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China

B Wang, Q Lin, T Jiang, H Yin, J Zhou, J Sun… - Geocarto …, 2022 - Taylor & Francis
Abstract Machine learning models are gradually replacing traditional techniques used for
landslide susceptibility assessment. This study aims to comprehensively compare multiple …

Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter

H Wen, J Hu, J Zhang, X Xiang, M Liao - Geocarto International, 2022 - Taylor & Francis
The accuracy of the evaluation model of rockfall susceptibility lies on reasonable
conditioning factors and algorithm hyperparameters optimization. A rockfall geological …

Rapid prediction of landslide dam stability considering the missing data using XGBoost algorithm

N Shi, Y Li, L Wen, Y Zhang - Landslides, 2022 - Springer
The stability prediction of landslide dams is the basis for reducing and even eliminating the
damage caused by landslide dam failures. However, the stability of landslide dams with …