[HTML][HTML] Centrifuge modelling of landslides and landslide hazard mitigation: A review
Landslides are serious geohazards that occur under a variety of climatic conditions and can
cause many casualties and significant economic losses. Centrifuge modelling, as a …
cause many casualties and significant economic losses. Centrifuge modelling, as a …
[HTML][HTML] Remote sensing for landslide investigations: A progress report from China
China has a significant portion of land in landslide-prone areas, and remote sensing
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
Deep learning-based landslide susceptibility mapping
Landslides are considered as one of the most devastating natural hazards in Iran, causing
extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas …
extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas …
Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
Landslides are a common type of natural disaster that brings great threats to the human lives
and economic development around the world, especially in the Chinese Loess Plateau …
and economic development around the world, especially in the Chinese Loess Plateau …
Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest
EK Sahin - SN Applied Sciences, 2020 - Springer
Decision tree-based classifier ensemble methods are a machine learning (ML) technique
that combines several tree models to produce an effective or optimum predictive model, and …
that combines several tree models to produce an effective or optimum predictive model, and …
Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable …
Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …
infrastructure and human lives. In line with the United Nations' Sustainable Development …
[HTML][HTML] Landslide susceptibility assessment by using convolutional neural network
This study performs a GIS-based landslide susceptibility assessment using a convolutional
neural network, CNN, in a study area of the Gorzineh-khil region, northeastern Iran. For this …
neural network, CNN, in a study area of the Gorzineh-khil region, northeastern Iran. For this …
Review on remote sensing methods for landslide detection using machine and deep learning
Landslide, one of the most critical natural hazards, is caused due to specific compositional
slope movement. In the past decades, due to inflation of urbanized area and climate change …
slope movement. In the past decades, due to inflation of urbanized area and climate change …
The Varnes classification of landslide types, an update
O Hungr, S Leroueil, L Picarelli - Landslides, 2014 - Springer
The goal of this article is to revise several aspects of the well-known classification of
landslides, developed by Varnes (1978). The primary recommendation is to modify the …
landslides, developed by Varnes (1978). The primary recommendation is to modify the …
The post-failure spatiotemporal deformation of certain translational landslides may follow the pre-failure pattern
L Wang, H Qiu, W Zhou, Y Zhu, Z Liu, S Ma, D Yang… - Remote Sensing, 2022 - mdpi.com
Investigating landslide deformation patterns in different evolution stages is important for
understanding landslide movement. Translational landslides generally slide along a …
understanding landslide movement. Translational landslides generally slide along a …