A review on landslide susceptibility mapping research in Bangladesh

MS Chowdhury - Heliyon, 2023 - cell.com
Landslide susceptibility mapping is a common practice for landslide susceptibility
assessment across the world. Like many other mountainous areas of the world, Bangladesh …

Physically-based rainfall-induced landslide thresholds for the Tianshui area of Loess Plateau, China by TRIGRS model

S Ma, X Shao, C Xu - Catena, 2023 - Elsevier
Physically-based models are widely recognized as valuable tools for analyzing slope
stability and determining rainfall thresholds for landslides. In this study, a MATLAB program …

[HTML][HTML] Dynamic rainfall-induced landslide susceptibility: a step towards a unified forecasting system

M Ahmed, H Tanyas, R Huser, A Dahal, G Titti… - International Journal of …, 2023 - Elsevier
The initial inception of the landslide susceptibility concept defined it as a static property of
the landscape, explaining the proneness of certain locations to generate slope failures …

Analyzing the posterior predictive capability and usability of landslide susceptibility maps: a case of Kerala, India

T Pareek, K Bhuyan, C van Westen, A Rajaneesh… - Landslides, 2024 - Springer
Landslide susceptibility maps serve as the basis for hazard and risk assessment, as well as
risk-informed land use planning at various spatial scales. Researchers create these maps …

Establishing the landslide-triggering rainfall thresholds for the Kashmir Himalaya

B Shah, MS Bhat, A Alam, UF Malik, N Ali, HA Sheikh - Natural Hazards, 2024 - Springer
The Himalaya is frequently impacted by precipitation-triggered landslides. When assessing
the threat and potential consequences of landslides, it is important to understand the …

[HTML][HTML] Distribution-agnostic landslide hazard modelling via Graph Transformers

G Belvederesi, H Tanyas, A Lipani, A Dahal… - … Modelling & Software, 2025 - Elsevier
In statistical applications, choosing a suitable data distribution or likelihood that matches the
nature of the response variable is required. To spatially predict the planimetric area of a …

[HTML][HTML] A QGIS framework for physically-based probabilistic modelling of landslide susceptibility: QGIS-FORM

J Ji, B Tong, HZ Cui, XT Tang, M Hürlimann… - … Modelling & Software, 2025 - Elsevier
Earthquake-induced regional landslides frequently result in substantial economic losses
and casualties. Conducting landslide susceptibility assessments is essential for mitigating …

An open-source GIS preprocessing tool for the ParFlow hydrological model (PFGIS-Tool v1. 0.0)

T Carlotto, J Klaus, PLB Chaffe - Environmental Modelling & Software, 2023 - Elsevier
ParFlow is an open-source high performance parallel hydrological model designed for the
integrated modeling of the hydrological cycle from the hillslope to continental scales. Due to …

[HTML][HTML] Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation

Z Ahmed, L Nalley, K Brye, VS Green, M Popp… - International Journal of …, 2023 - Elsevier
Accurately identifying and systematically mapping winter-time cover crops and their
phenological characteristics offer significant benefits to agricultural producers and …

Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China

Z Xu, Z Xiao, X Zhao, Z Ma, Q Zhang, P Zeng, X Zhang - Sustainability, 2024 - mdpi.com
Deriving rainfall thresholds is one of the most convenient and effective empirical methods for
formulating landslide warnings. The previous rainfall threshold models only considered the …