Application of Tree-Based Ensemble Models to Landslide Susceptibility Mapping: A Comparative Study

Landslide detection in the Himalayas using machine learning algorithms and U-Net

(2022) Sansar Raj Meena et al.   Landslides

Methods for landslide detection based on lightweight YOLOv4 convolutional neural network

(2022) Bo Li et al.   Earth Science Informatics

Landslide Susceptibility Mapping with Deep Learning Algorithms

(2022) Jules Maurice Habumugisha et al.   Sustainability

Regional Landslide Hazard Assessment Using Extreme Value Analysis and a Probabilistic Physically Based Approach

(2022) Hyuck-Jin Park et al.   Sustainability

The application of DInSAR and Bayesian statistics for the assessment of landslide susceptibility

(2021) Dimitris Kouhartsiouk et al.   Natural Hazards

Landslide susceptibility mapping using information value method in Jhelum Valley of the Himalayas

(2021) Salman Farooq et al.   Arabian Journal of Geosciences

Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey

(2021) Halil Akinci et al.   Natural Hazards

Artificial neural network and sensitivity analysis in the landslide susceptibility mapping of Idukki district, India

(2021) Jesudasan Jacinth Jennifer et al.   Geocarto International

Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods

(2021) Qian He et al.   Remote Sensing

Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models

(2021) Faming Huang et al.   CATENA

Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation

(2021) Husam A. H. Al-Najjar et al.   Remote Sensing

Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping

(2021) Shibao Wang et al.   Frontiers in Earth Science

PS-InSAR-Based Validated Landslide Susceptibility Mapping along Karakorum Highway, Pakistan

(2021) Muhammad Afaq Hussain et al.   Remote Sensing

A review on application of soft computing techniques for the rapid visual safety evaluation and damage classification of existing buildings

(2021) Ehsan Harirchian et al.   Journal of Building Engineering

A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests

(2020) Zeinab Shirvani   Remote Sensing

A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China

(2020) Yumiao Wang et al.   CATENA

Landslide susceptibility zoning in a catchment of Zagros Mountains using fuzzy logic and GIS

(2020) Siamak Baharvand et al.   Environmental Earth Sciences

Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China

(2020) Juan Cao et al.   NATURAL HAZARDS

Landslide susceptibility mapping and rock slope stability assessment using frequency ratio and kinematic analysis in the mountains of Mgulat area, Northern Ethiopia

(2020) Gebremedhin Berhane et al.   Bulletin of Engineering Geology and the Environment

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

Building a landslide hazard indicator with machine learning and land surface models

(2020) T.A. Stanley et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping

(2020) Zhu Liang et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping

(2020) Emrehan Kutlug Sahin   Geocarto International

Rainfall-Induced Shallow Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced Machine Learning Algorithms

(2020) Ananta Man Singh Pradhan et al.   ISPRS International Journal of Geo-Information

Landslide susceptibility mapping in three Upazilas of Rangamati hill district Bangladesh: application and comparison of GIS-based machine learning methods

(2020) Yasin Wahid Rabby et al.   Geocarto International

Formation lithology classification using scalable gradient boosted decision trees

(2019) Vikrant A. Dev et al.   COMPUTERS & CHEMICAL ENGINEERING

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China

(2019) Yonghong Zhang et al.   Remote Sensing

Artificial neural network ensembles applied to the mapping of landslide susceptibility

(2019) L. Bragagnolo et al.   CATENA

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

(2019) Yanli Wu et al.   CATENA

Prediction of the landslide susceptibility: Which algorithm, which precision?

(2018) Hamid Reza Pourghasemi et al.   CATENA

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods

(2018) Jung-Hyun Lee et al.   GEOMORPHOLOGY

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

A hybrid feature selection algorithm integrating an extreme learning machine for landslide susceptibility modeling of Mt. Woomyeon, South Korea

(2016) Nikhil N. Vasu et al.   GEOMORPHOLOGY

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal

(2012) P. Kayastha et al.   COMPUTERS & GEOSCIENCES

Landslide hazard and risk assessment using semi-automatically created landslide inventories

(2012) Tapas R. Martha et al.   GEOMORPHOLOGY