[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 …

Assessing landslide susceptibility along India's National Highway 58: a comprehensive approach integrating remote sensing, GIS, and logistic regression analysis

M Sharma, RK Upadhyay, G Tripathi, N Kishore… - Conservation, 2023 - mdpi.com
The NH 58 area in India has been experiencing an increase in landslide occurrences,
posing significant threats to local communities, infrastructure, and the environment. The …

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 …

Landslide susceptibility assessment in western external rif chain using machine learning methods

M Benmakhlouf, Y El Kharim, J Galindo Zaldívar… - 2023 - digibug.ugr.es
Landslides are a major natural hazard in the mountainous Rif region of Northern Morocco.
This study aims to create and compare landslide susceptibility maps in the Western External …

Enhancing landslide risk reduction strategies in Southeast Bangladesh

E Alam, MK Islam - Jàmbá: Journal of Disaster Risk Studies, 2023 - scielo.org.za
Since 2000, landslides in southeast Bangladesh have resulted in over 700 deaths, most of
which were in informal settlements. For instance, the 2007 landslides in informal settlements …

[HTML][HTML] Predicting urban landslides in the hilly regions of Bangladesh leveraging a hybrid machine learning model and CMIP6 climate projections

MA Islam, MA Arrafi, MH Peas, T Hossain… - Geosystems and …, 2025 - Elsevier
Landslides pose significant risks to infrastructure and human lives in cities, exacerbated by
climate change. Therefore, a reliable predictive landslide model is crucial for mitigation …

Landslide susceptibility prediction modelling based on semi‐supervised XGBoost model

Q Shua, H Peng, J Li - Geological Journal, 2024 - Wiley Online Library
In the process of landslide susceptibility prediction (LSP) modelling, there are some
problems in the model dataset relating to landslide and non‐landslide samples, such as …

The Accuracy of Landslide Susceptibility Mapping in Young Glacial River Valleys

A Małka, I Laskowicz, D Grabowski - … and Technology, Volume 3 Issue 2 …, 2025 - Springer
Many aspects affect the accuracy of the geographical information system-and statistically-
based susceptibility maps. These aspects can be divided into four categories related to:(α) …

Landslide susceptibility mapping using logistic regression, random forests, and artificial neural networks: a case study in Mariana/MG, Brazil

MO Xavier, CF Barella - Revista Brasileira de Geomorfologia, 2024 - rbgeomorfologia.org.br
The landslide susceptibility mapping (LSM) plays an important role in risk management. This
study evaluated the predictive capabilities of three machine learning (ML) approaches …

Landslide susceptibility assessment in Nuwakot: An examination of methods to mapping

S Shrestha - Unity Journal, 2024 - nepjol.info
The highest re-occurring hazard incident in Nepal in 2022 is reported to be fi re and
landslides. A comprehensive study on understanding and identifying landslide susceptible …