Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes
Landslide susceptibility assessment is a complex challenge explored by various scientists,
but not fully resolved. In this study, we produced the landslide susceptibility map of a large …
but not fully resolved. In this study, we produced the landslide susceptibility map of a large …
Co-seismic landslide based validation of susceptibility mapping after Kahramanmaras Earthquakes (Feb 6, 2023) in Amanos Mountains
The quality of landslide susceptibility maps is often assessed using a part of learning data
that represents geographical and land use characteristics over a quasi-fixed time. However …
that represents geographical and land use characteristics over a quasi-fixed time. However …
Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics
Inventories of seismically induced landslides provide essential information about the extent
and severity of ground effects after an earthquake. Rigorous assessment of the …
and severity of ground effects after an earthquake. Rigorous assessment of the …
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
Predictive capability of landslide susceptibilities is assumed to be varied with different
sampling techniques, such as (a) the landslide scarp centroid,(b) centroid of landslide …
sampling techniques, such as (a) the landslide scarp centroid,(b) centroid of landslide …
Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest
Q He, M Wang, K Liu - Geomorphology, 2021 - Elsevier
Earthquake-induced landslides (EQILs) are an incredibly destructive geological disaster.
Rapid landslide susceptibility assessments are indispensable and critical for risk analysis …
Rapid landslide susceptibility assessments are indispensable and critical for risk analysis …
Comprehensive performance assessment of landslide susceptibility mapping with MLP and random forest: a case study after Elazig earthquake (24 Jan 2020, Mw 6.8) …
Quality assessment (QA) for landslide susceptibility maps (LSMs) is essential to increase
their usability. A QA approach based on the landslide activity after a triggering event can be …
their usability. A QA approach based on the landslide activity after a triggering event can be …
Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning
A Pyakurel, D KC, BK Dahal - Scientific reports, 2024 - nature.com
Landslides are devastating natural disasters that generally occur on fragile slopes.
Landslides are influenced by many factors, such as geology, topography, natural drainage …
Landslides are influenced by many factors, such as geology, topography, natural drainage …
Risk factor detection and landslide susceptibility mapping using Geo-Detector and Random Forest Models: The 2018 Hokkaido eastern Iburi earthquake
Landslide susceptibility mapping is an effective approach for landslide risk prevention and
assessments. The occurrence of slope instability is highly correlated with intrinsic variables …
assessments. The occurrence of slope instability is highly correlated with intrinsic variables …
[引用][C] Earthquake-triggered landslide susceptibility assessment based on support vector machine combined with Newmark displacement model
LIN Qigen, LIU Yanyi, LIU Lianyou, W Ying - Journal of Geo-information …, 2017 - resci.cn
The Newmark displacement model is a common physically based model for earthquake
induced landslide susceptibility mapping. The machine learning model is one of the …
induced landslide susceptibility mapping. The machine learning model is one of the …
Does machine learning adequately predict earthquake induced landslides?
Abstract Machine learning (ML) has been used for landslide susceptibility analysis for a
while; however, studies using real-time earthquake induced landslide data are barely used …
while; however, studies using real-time earthquake induced landslide data are barely used …