Landslide mobilization rates: A global analysis and model
Landslides are a main driver of landscape evolution and a dominant sediment source in
many regions worldwide. Nevertheless, their role in sediment mobilization and denudation …
many regions worldwide. Nevertheless, their role in sediment mobilization and denudation …
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
Despite the large number of recent advances and developments in landslide susceptibility
mapping (LSM) there is still a lack of studies focusing on specific aspects of LSM model …
mapping (LSM) there is still a lack of studies focusing on specific aspects of LSM model …
Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression
Identification of landslide prone areas and production of accurate landslide susceptibility
zonation maps have been crucial topics for hazard management studies. Since the …
zonation maps have been crucial topics for hazard management studies. Since the …
Landslide susceptibility assessment in complex geological settings: Sensitivity to geological information and insights on its parameterization
The literature about landslide susceptibility mapping is rich of works focusing on improving
or comparing the algorithms used for the modeling, but to our knowledge, a sensitivity …
or comparing the algorithms used for the modeling, but to our knowledge, a sensitivity …
A comparative assessment of canonical correlation forest, random forest, rotation forest and logistic regression methods for landslide susceptibility mapping
In recent years, ensemble learning methods have become popular in landslide susceptibility
mapping (LSM) with varying degrees of success. Within classifier ensemble concept …
mapping (LSM) with varying degrees of success. Within classifier ensemble concept …
Landslide susceptibility modeling using bivariate statistical-based logistic regression, naïve Bayes, and alternating decision tree models
W Chen, Z Yang - Bulletin of Engineering Geology and the Environment, 2023 - Springer
The main aim of this study is to use weights of evidence (WoE), logistic regression (LR),
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …
Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: a case of the Belice River basin (western …
C Conoscenti, M Ciaccio, NA Caraballo-Arias… - Geomorphology, 2015 - Elsevier
In this paper, terrain susceptibility to earth-flow occurrence was evaluated by using
geographic information systems (GIS) and two statistical methods: Logistic regression (LR) …
geographic information systems (GIS) and two statistical methods: Logistic regression (LR) …
Spatiotemporal variations of fatal landslides in Turkey
Landslides are one of the devastating geohazards that cause extensive socio-economic and
environmental damages on local, regional, and global scales. Previous studies based on …
environmental damages on local, regional, and global scales. Previous studies based on …
Could road constructions be more hazardous than an earthquake in terms of mass movement?
Roads can have a significant impact on the frequency of mass wasting events in
mountainous areas. However, characterizing the extent and pervasiveness of mass …
mountainous areas. However, characterizing the extent and pervasiveness of mass …
Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data
T Görüm - Engineering Geology, 2019 - Elsevier
A precise, accurate and complete landslide inventory is indispensable for the establishment
of reliable landslide susceptibility and hazard maps. In the preparation of landslide …
of reliable landslide susceptibility and hazard maps. In the preparation of landslide …