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 …
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
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 …
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
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 …
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
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 …
risk-informed land use planning at various spatial scales. Researchers create these maps …
Establishing the landslide-triggering rainfall thresholds for the Kashmir Himalaya
The Himalaya is frequently impacted by precipitation-triggered landslides. When assessing
the threat and potential consequences of landslides, it is important to understand the …
the threat and potential consequences of landslides, it is important to understand the …
[HTML][HTML] Distribution-agnostic landslide hazard modelling via Graph Transformers
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 …
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
Earthquake-induced regional landslides frequently result in substantial economic losses
and casualties. Conducting landslide susceptibility assessments is essential for mitigating …
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)
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 …
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
Accurately identifying and systematically mapping winter-time cover crops and their
phenological characteristics offer significant benefits to agricultural producers and …
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 …
formulating landslide warnings. The previous rainfall threshold models only considered the …