Rainfall induced landslide studies in Indian Himalayan region: a critical review
Landslides are one of the most devastating and recurring natural disasters and have
affected several mountainous regions across the globe. The Indian Himalayan region is no …
affected several mountainous regions across the globe. The Indian Himalayan region is no …
[HTML][HTML] Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India
K Mandal, S Saha, S Mandal - Geoscience Frontiers, 2021 - Elsevier
Landslide is considered as one of the most severe threats to human life and property in the
hilly areas of the world. The number of landslides and the level of damage across the globe …
hilly areas of the world. The number of landslides and the level of damage across the globe …
Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal
Landslide problems are abundant in the mountainous areas of Nepal due to a unique
combination of adverse geological conditions, abundant rainfall and anthropogenic factors …
combination of adverse geological conditions, abundant rainfall and anthropogenic factors …
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
SA Abu El-Magd, SA Ali, QB Pham - Earth Science Informatics, 2021 - Springer
Recently, one of the most frequent natural hazards around several regions in the world is the
landslide events. The area of Jabal Farasan in the northwest Jeddah of Saudi Arabia suffers …
landslide events. The area of Jabal Farasan in the northwest Jeddah of Saudi Arabia suffers …
An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India
This study examined landslide susceptibility, an increasingly common problem in
mountainous regions across the world as a result of urbanization, deforestation, and various …
mountainous regions across the world as a result of urbanization, deforestation, and various …
A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling
In this study, the main goal is to compare the predictive capability of Support Vector
Machines (SVM) with four Bayesian algorithms namely Naïve Bayes Tree (NBT), Bayes …
Machines (SVM) with four Bayesian algorithms namely Naïve Bayes Tree (NBT), Bayes …
Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India
Sikkim, one of the Northeastern states of India, is a famous tourism spot in the Himalayas
with dynamic population density. This mountainous area receives heavy rainfall and is well …
with dynamic population density. This mountainous area receives heavy rainfall and is well …
Landslide susceptibility assessment using information value method in parts of the Darjeeling Himalayas
Landslide susceptibility is the likelihood of a landslide occurrence in an area predicted on
the basis of local terrain conditions. Since last few years, researchers have attempted to …
the basis of local terrain conditions. Since last few years, researchers have attempted to …
Modeling and mapping landslide susceptibility zones using GIS based multivariate binary logistic regression (LR) model in the Rorachu river basin of eastern Sikkim …
S Mandal, K Mandal - Modeling Earth Systems and Environment, 2018 - Springer
Multivariate binary logistic regression (LR) model was used for the assessment of landslide
susceptibility in the Rorachu river basin of eastern Sikkim Himalaya. For this purpose, a …
susceptibility in the Rorachu river basin of eastern Sikkim Himalaya. For this purpose, a …
Landslide susceptibility mapping using machine learning in Himalayan region: a review
Landslides, among all, are hazardous natural disaster events. It is caused due to the
creation of instability in the slopes of the terrain. In the past 20 to 30 years' time span it has …
creation of instability in the slopes of the terrain. In the past 20 to 30 years' time span it has …