Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models
Authors
Keywords
Landslide susceptibility prediction, Uncertainty analysis, Frequency ratio, Data-based models, Random forest, Decision tree
Journal
CATENA
Volume 202, Issue -, Pages 105250
Publisher
Elsevier BV
Online
2021-03-06
DOI
10.1016/j.catena.2021.105250
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
- (2020) Zhilu Chang et al. Remote Sensing
- Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
- (2020) Dieu Tien Bui et al. CATENA
- Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
- (2020) Wei Chen et al. JOURNAL OF HYDROLOGY
- Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network
- (2020) Li Zhu et al. SENSORS
- SUSLE: a slope and seasonal rainfall-based RUSLE model for regional quantitative prediction of soil erosion
- (2020) Faming Huang et al. Bulletin of Engineering Geology and the Environment
- Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
- (2020) Faming Huang et al. CATENA
- Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model
- (2020) Faming Huang et al. Landslides
- Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation
- (2020) Xia Zhao et al. Remote Sensing
- Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
- (2020) Faming Huang et al. ISPRS International Journal of Geo-Information
- Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
- (2020) Wei Chen et al. Geoscience Frontiers
- GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods
- (2020) Xi Chen et al. CATENA
- A comparative evaluation of supervised machine learning algorithms for township level landslide susceptibility zonation in parts of Indian Himalayas
- (2020) Bipin Peethambaran et al. CATENA
- GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
- (2020) Wei Chen et al. CATENA
- Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China)
- (2020) Yaming Tang et al. JOURNAL OF CLEANER PRODUCTION
- Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors
- (2020) Wenbin Li et al. Remote Sensing
- Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments
- (2020) Wei Chen et al. Remote Sensing
- Assessment of rainfall-induced landslide susceptibility at the regional scale using a physically based model and fuzzy-based Monte Carlo simulation
- (2019) Hyuck Jin Park et al. Landslides
- Experimental study of subsurface erosion in granitic under the conditions of different soil column angles and flow discharges
- (2019) Weiping Liu et al. Bulletin of Engineering Geology and the Environment
- Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
- (2019) Abolfazl Jaafari et al. CATENA
- Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping
- (2019) Haoyuan Hong et al. CATENA
- Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
- (2019) Ataollah Shirzadi et al. CATENA
- Regional Rainfall Warning System for Landslides with Creep Deformation in Three Gorges using a Statistical Black Box Model
- (2019) Zizheng Guo et al. Scientific Reports
- A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
- (2019) Faming Huang et al. Landslides
- Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models
- (2019) Deying Li et al. Applied Sciences-Basel
- Sedimentological characteristics and application of machine learning techniques for landslide susceptibility modelling along the highway corridor Nahan to Rajgarh (Himachal Pradesh), India
- (2019) Vijendra Kumar Pandey et al. CATENA
- Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling
- (2019) Alireza Arabameri et al. CATENA
- Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
- (2019) Yanli Wu et al. CATENA
- Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis
- (2018) Shui-Hua Jiang et al. APPLIED MATHEMATICAL MODELLING
- A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping
- (2018) A-Xing Zhu et al. CATENA
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
- (2018) Wei Chen et al. CATENA
- Review on landslide susceptibility mapping using support vector machines
- (2018) Yu Huang et al. CATENA
- Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
- (2018) Haoyuan Hong 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
- 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 model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data
- (2018) Ali Mutar Fanos et al. Landslides
- Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine
- (2018) Faming Huang et al. Geomatics Natural Hazards & Risk
- Regional-scale landslide susceptibility modelling in the Cordillera Blanca, Peru—a comparison of different approaches
- (2018) E. Bueechi et al. Landslides
- A novel hybrid approach for landslide susceptibility mapping integrating analytical hierarchy process and normalized frequency ratio methods with the cloud model
- (2018) Fei Yan et al. GEOMORPHOLOGY
- Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine
- (2017) Faming Huang et al. ENGINEERING GEOLOGY
- Landslide susceptibility mapping & prediction using Support Vector Machine for Mandakini River Basin, Garhwal Himalaya, India
- (2017) Deepak Kumar et al. GEOMORPHOLOGY
- Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5.0 and two-step cluster algorithms: a case study in the Three Gorges Reservoir area, China
- (2017) Junwei Ma et al. Landslides
- Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the Yukon Alaska Highway Corridor, Canada
- (2017) Pouran Behnia et al. NATURAL HAZARDS
- The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method
- (2017) Yaolong Liu et al. NATURAL HAZARDS
- Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
- (2017) Bahareh Kalantar et al. Geomatics Natural Hazards & Risk
- Integration of the Statistical Index Method and the Analytic Hierarchy Process technique for the assessment of landslide susceptibility in Huizhou, China
- (2016) Guifang Zhang et al. CATENA
- Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
- (2016) Paraskevas Tsangaratos et al. CATENA
- Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model
- (2016) Haydar Y. Hussin et al. GEOMORPHOLOGY
- A modified frequency ratio method for landslide susceptibility assessment
- (2016) Langping Li et al. Landslides
- Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
- (2015) Alessandro Trigila et al. GEOMORPHOLOGY
- Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio
- (2015) Pece V. Gorsevski et al. Landslides
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
- (2015) Dieu Tien Bui et al. Landslides
- 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
- Overview of Friedman’s Test and Post-hoc Analysis
- (2014) Dulce G. Pereira et al. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
- Landslide susceptibility zonation using analytical hierarchy process and GIS for the Bojnurd region, northeast of Iran
- (2014) Mohammad Reza Mansouri Daneshvar Landslides
- A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
- (2013) Omar F. Althuwaynee et al. CATENA
- The Varnes classification of landslide types, an update
- (2013) Oldrich Hungr et al. Landslides
- Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam
- (2012) Dieu Tien Bui et al. NATURAL HAZARDS
- Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS
- (2011) Jaewon Choi et al. ENGINEERING GEOLOGY
- GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China
- (2009) Shi-Biao Bai et al. GEOMORPHOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More