Related references
Note: Only part of the references are listed.A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
Faming Huang et al.
LANDSLIDES (2020)
Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests
Maher Ibrahim Sameen et al.
COMPUTERS & GEOSCIENCES (2020)
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
Zhilu Chang et al.
REMOTE SENSING (2020)
Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan
Abhirup Dikshit et al.
WATER (2020)
Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network
Li Zhu et al.
SENSORS (2020)
Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review
Abhirup Dikshit et al.
APPLIED SCIENCES-BASEL (2020)
Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
Faming Huang et al.
CATENA (2020)
Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China
Zhuo Chen et al.
GEOCARTO INTERNATIONAL (2019)
A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal
Sansar Raj Meena et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau
Juan Cao et al.
CATENA (2019)
Land use impacts on soil erosion and rejuvenation in Southern Brazil
Veerle Vanacker et al.
CATENA (2019)
Regional Rainfall Warning System for Landslides with Creep Deformation in Three Gorges using a Statistical Black Box Model
Zizheng Guo et al.
SCIENTIFIC REPORTS (2019)
A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest
Eray Sevgen et al.
SENSORS (2019)
Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models
Deying Li et al.
APPLIED SCIENCES-BASEL (2019)
Identification of spatially distributed hotspots for soil loss and erosion potential in mining areas of Upper Damodar Basin - India
Shivesh Kishore Karan et al.
CATENA (2019)
A comprehensive design of rainfall simulator for the assessment of soil erosion in the laboratory
Sushil N. Mhaske et al.
CATENA (2019)
Prediction of soil water retention curve using Bayesian updating from limited measurement data
Weiping Liu et al.
APPLIED MATHEMATICAL MODELLING (2019)
Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling
Alireza Arabarneri et al.
CATENA (2019)
Landslide Susceptibility and Soil Loss Estimates For Drift Creek Watershed, Lincoln County, Oregon
David M. Korte et al.
ENVIRONMENTAL & ENGINEERING GEOSCIENCE (2019)
A ROC analysis-based classification method for landslide susceptibility maps
Isidro Cantarino et al.
LANDSLIDES (2019)
Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)
Yingxu Song et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
Analysis and evaluation of landslide susceptibility: a review on articles published during 2005-2016 (periods of 2005-2012 and 2013-2016)
Hamid Reza Pourghasemi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2018)
The CSLE model based soil erosion prediction: Comparisons of sampling density and extrapolation method at the county level
Hongda Zhang et al.
CATENA (2018)
Determining soil erodibilities for the USLE-MM rainfall erosion model
P. I. A. Kinnell
CATENA (2018)
A review of statistically-based landslide susceptibility models
Paola Reichenbach et al.
EARTH-SCIENCE REVIEWS (2018)
Object-oriented change detection and damage assessment using high-resolution remote sensing images, Tangjiao Landslide, Three Gorges Reservoir, China
Faming Huang et al.
ENVIRONMENTAL EARTH SCIENCES (2018)
Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS
Ali Golkarian et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2018)
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Haoyuan Hong et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
Wei Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
A comparison of five methods in landslide susceptibility assessment: a case study from the 330-kV transmission line in Gansu Region, China
Yunfeng Ge et al.
ENVIRONMENTAL EARTH SCIENCES (2018)
Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine
Faming Huang et al.
GEOMATICS NATURAL HAZARDS & RISK (2018)
Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
Dieu Tien Bui et al.
REMOTE SENSING (2018)
Assessment of Soil Erosion Dynamics Using the GIS-Based RUSLE Model: A Case Study of Wangjiagou Watershed from the Three Gorges Reservoir Region, Southwestern China
Jinping Xue et al.
WATER (2018)
Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh
Bayes Ahmed et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2018)
Global fatal landslide occurrence from 2004 to 2016
Melanie J. Froude et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2018)
Formation of the Siwanli ancient landslide in the Dadu River, China
H. Deng et al.
LANDSLIDES (2017)
Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine
Faming Huang et al.
ENGINEERING GEOLOGY (2017)
Landslide displacement prediction based on multivariate chaotic model and extreme learning machine
Faming Huang et al.
ENGINEERING GEOLOGY (2017)
Comparison of two optimized machine learning models for predicting displacement of rainfall-induced landslide: A case study in Sichuan Province, China
Xing Zhu et al.
ENGINEERING GEOLOGY (2017)
The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China
Kaixiang Zhang et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Mapping landslide susceptibility with frequency ratio, statistical index, and weights of evidence models: a case study in northern Iran
Samaneh Razavizadeh et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
Wei Chen et al.
GEOMORPHOLOGY (2017)
Prediction of groundwater levels using evidence of chaos and support vector machine
Faming Huang et al.
JOURNAL OF HYDROINFORMATICS (2017)
Application of Bivariate and Multivariate Statistical Techniques in Landslide Susceptibility Modeling in Chittagong City Corporation, Bangladesh
Bayes Ahmed et al.
REMOTE SENSING (2017)
Stability Analysis of Hydrodynamic Pressure Landslides with Different Permeability Coefficients Affected by Reservoir Water Level Fluctuations and Rainstorms
Faming Huang et al.
WATER (2017)
Uncertainty of the Soil-Water Characteristic Curve and Its Effects on Slope Seepage and Stability Analysis under Conditions of Rainfall Using the Markov Chain Monte Carlo Method
Weiping Liu et al.
WATER (2017)
A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide
Yuanyao Li et al.
SCIENTIFIC REPORTS (2017)
Integration of data mining classification techniques and ensemble learning to identify risk factors and diagnose ovarian cancer recurrence
Chih-Jen Tseng et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2017)
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
Wei Chen et al.
CATENA (2017)
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
Dieu Tien Bui et al.
LANDSLIDES (2016)
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
Ahmed Mohamed Youssef et al.
LANDSLIDES (2016)
Comparison of a logistic regression and Naive Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
Paraskevas Tsangaratos et al.
CATENA (2016)
Soil erosion risk associated with climate change at Mantaro River basin, Peruvian Andes
Sly W. Correa et al.
CATENA (2016)
A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM)
Arzu Erener et al.
ENGINEERING GEOLOGY (2016)
Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions
Wei Chen et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study
Tommaso Carla et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Quantifying soil erosion effects on soil productivity in the dry-hot valley, southwestern China
Xingwu Duan et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)
M. Cama et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
Haoyuan Hong et al.
GEOMORPHOLOGY (2016)
Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin
B. P. Ganasri et al.
GEOSCIENCE FRONTIERS (2016)
Mapping of rainfall-induced landslide susceptibility in Wencheng, China, using support vector machine
Cheng Su et al.
NATURAL HAZARDS (2015)
Landslide susceptibility mapping along Kolli hills Ghat road section (India) using frequency ratio, relative effect and fuzzy logic models
V. Ramesh et al.
ENVIRONMENTAL EARTH SCIENCES (2015)
Assessment of rainfall-generated shallow landslide/debris-flow susceptibility and runout using a GIS-based approach: application to western Southern Alps of New Zealand
Theodosios Kritikos et al.
LANDSLIDES (2015)
Landslide susceptibility assessment using object mapping units, decision tree, and support vector machine models in the Three Gorges of China
Xueling Wu et al.
ENVIRONMENTAL EARTH SCIENCES (2014)
The Varnes classification of landslide types, an update
Oldrich Hungr et al.
LANDSLIDES (2014)
Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea
Soyoung Park et al.
ENVIRONMENTAL EARTH SCIENCES (2013)
Landslide susceptibility mapping using rough sets and back-propagation neural networks in the Three Gorges, China
Xueling Wu et al.
ENVIRONMENTAL EARTH SCIENCES (2013)
Application of the revised universal soil loss equation model on landslide prevention. An example from N. Euboea (Evia) Island, Greece
Dimitrios Rozos et al.
ENVIRONMENTAL EARTH SCIENCES (2013)
Are fine resolution digital elevation models always the best choice in digital soil mapping?
Stefano Cavazzi et al.
GEODERMA (2013)
Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: a case study at Penang Island, Malaysia
Biswajeet Pradhan et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2012)
GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China
Chong Xu et al.
GEOMORPHOLOGY (2012)
Parallel ordinary kriging interpolation incorporating automatic variogram fitting
Lluis Pesquer et al.
COMPUTERS & GEOSCIENCES (2011)
Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan
Hitoshi Saito et al.
GEOMORPHOLOGY (2009)