[HTML][HTML] Landslide Studies in the Context of Disaster Management in Bangladesh—A Systematic Literature Review

T Hossain, MAN Tushar, S Murshed, U Basak… - Earth, 2024 - mdpi.com
Landslides and their resulting impacts on property and human life have become an ongoing
challenge in the hilly regions of Bangladesh. This study aims to systematically review …

Multi-hazard assessment for flood and Landslide risk in Kalimantan and Sumatra: Implications for Nusantara, Indonesia's new capital

S Heo, W Sohn, S Park, DK Lee - Heliyon, 2024 - cell.com
Situated within the Ring of Fire and characterized by a tropical climate and high seismic
activity, Indonesia is uniquely vulnerable to natural disasters such as floods and landslides …

[HTML][HTML] Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions

Z Lu, G Liu, Z Song, K Sun, M Li, Y Chen, X Zhao… - Applied Sciences, 2024 - mdpi.com
Landslides are pervasive geological hazards that pose significant risks to human life,
property, and the environment. Understanding landslide susceptibility is crucial for …

Predictive landslide susceptibility modeling in the southeastern hilly region of Bangladesh: application of machine learning algorithms in Khagrachari district

MM Hasan, SK Roy, MD Talha, MT Ferdous… - … Science and Pollution …, 2024 - Springer
Landslides pose a severe threat to people, buildings, and infrastructure. The rugged terrain
of the Chattogram Hill Tract region in southeastern Bangladesh frequently experiences …

Exploring uncertainty analysis in GIS-based landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas

S Dey, S Das, A Saha - Earth Science Informatics, 2025 - Springer
Natural Disasters like landslides affect livelihood and nature. To mitigate this hazard,
scientists developed Landslide Susceptibility Mapping (LSM), which helps to identify …

Machine learning optimization for enhanced biomass-coal co-gasification

J Pan, H Shahbeik, A Shafizadeh, S Rafiee… - Renewable Energy, 2024 - Elsevier
The co-gasification of biomass feedstocks with coal offers a promising approach to
enhancing syngas quality while mitigating the environmental impacts of traditional coal …

AI-Based model for site-selecting earthquake emergency shelters

A Amiran, B Behnam, S Seyedin - Scientific Reports, 2024 - nature.com
The objective of this research is to develop an AI-based model that provides a map of
potential emergency shelters for seismic-prone regions. While the predominant approach for …

Investigating the effects of different data classification methods on landslide susceptibility mapping

H Akinci, AY Ozalp - Advances in Space Research, 2024 - Elsevier
In this study, landslide susceptibility maps (LSMs) were produced for three regions where
landslides are common in the Eastern Black Sea Region of Türkiye. The regions studied …

[HTML][HTML] Rapid Landslide Detection Following an Extreme Rainfall Event Using Remote Sensing Indices, Synthetic Aperture Radar Imagery, and Probabilistic Methods

AA Chrysafi, P Tsangaratos, I Ilia, W Chen - Land, 2024 - mdpi.com
The rapid detection of landslide phenomena that may be triggered by extreme rainfall events
is a critical point concerning timely response and the implementation of mitigation measures …

Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models

VE Nwazelibe, JC Egbueri - Environmental Earth Sciences, 2024 - Springer
As global greenhouse gas concentrations intensify climate change impacts, the risk of
landslides increases, particularly in Southern Anambra State, Nigeria. This ongoing threat …