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 …
[HTML][HTML] Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
In recent decades, data-driven landslide susceptibility models (DdLSM), which are based on
statistical or machine learning approaches, have become popular to estimate the relative …
statistical or machine learning approaches, have become popular to estimate the relative …
Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
DT Bui, P Tsangaratos, VT Nguyen, N Van Liem… - Catena, 2020 - Elsevier
The main objective of the current study was to introduce a Deep Learning Neural Network
(DLNN) model in landslide susceptibility assessments and compare its predictive …
(DLNN) model in landslide susceptibility assessments and compare its predictive …
[HTML][HTML] Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random …
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 …
Prediction of the landslide susceptibility: Which algorithm, which precision?
HR Pourghasemi, O Rahmati - Catena, 2018 - Elsevier
Coupling machine learning algorithms with spatial analytical techniques for landslide
susceptibility modeling is a worth considering issue. So, the current research intend to …
susceptibility modeling is a worth considering issue. So, the current research intend to …
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic …
Preparation of landslide susceptibility maps is considered as the first important step in
landslide risk assessments, but these maps are accepted as an end product that can be …
landslide risk assessments, but these maps are accepted as an end product that can be …
Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
P Tsangaratos, I Ilia - Catena, 2016 - Elsevier
The main objective of the present study was to compare the performance of a classifier that
implements the Logistic Regression and a classifier that employs a Naïve Bayes algorithm in …
implements the Logistic Regression and a classifier that employs a Naïve Bayes algorithm in …
Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate …
H Hong, HR Pourghasemi, ZS Pourtaghi - Geomorphology, 2016 - Elsevier
Landslides are an important natural hazard that causes a great amount of damage around
the world every year, especially during the rainy season. The Lianhua area is located in the …
the world every year, especially during the rainy season. The Lianhua area is located in the …
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
Preparation of landslide susceptibility map is the first step for landslide hazard mitigation
and risk assessment. The main aim of this study is to explore potential applications of two …
and risk assessment. The main aim of this study is to explore potential applications of two …
Landslide susceptibility hazard map in southwest Sweden using artificial neural network
Landslides as major geo-hazards in Sweden adversely impact on nearby environments and
socio-economics. In this paper, a landslide susceptibility map using a proposed subdivision …
socio-economics. In this paper, a landslide susceptibility map using a proposed subdivision …