Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake

(2019) Ali P. Yunus et al.   REMOTE SENSING OF ENVIRONMENT

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

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

(2018) Chao Zhou et al.   COMPUTERS & GEOSCIENCES

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

(2018) Jung-Hyun Lee et al.   GEOMORPHOLOGY

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Hybrid Approach of Landslide Susceptibility Modeling Using Rotation Forest Ensemble and Different Base Classifiers

(2018) Binh Thai Pham et al.   Geocarto International

The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China

(2017) Kaixiang Zhang et al.   Environmental Earth Sciences

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China

(2017) Haoyuan Hong et al.   GEOMORPHOLOGY

Mapping landslide susceptibility using data-driven methods

(2017) J.L. Zêzere et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China

(2017) Qian Wang et al.   Remote Sensing

Application of Bivariate and Multivariate Statistical Techniques in Landslide Susceptibility Modeling in Chittagong City Corporation, Bangladesh

(2017) Bayes Ahmed et al.   Remote Sensing

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

A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS

(2016) Tao Chen et al.   Environmental Earth Sciences

Landslide susceptibility mapping based on global and local logistic regression models in Three Gorges Reservoir area, China

(2016) Miao Zhang et al.   Environmental Earth Sciences

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

Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland

(2016) Kamila Pawluszek et al.   NATURAL HAZARDS

Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea

(2015) Moung-Jin Lee et al.   Environmental Earth Sciences

Landslide susceptibility evaluation based on BPNN and GIS: a case of Guojiaba in the Three Gorges Reservoir Area

(2015) Kai Xu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Landslide susceptibility mapping by combining the analytical hierarchy process and weighted linear combination methods: a case study in the upper Lo River catchment (Vietnam)

(2015) Le Quoc Hung et al.   Landslides

Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece

(2015) Paraskevas Tsangaratos 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

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

(2015) Jie Dou et al.   NATURAL HAZARDS

Random forest-based scheme using feature and decision levels information for multi-focus image fusion

(2015) Nabeela Kausar et al.   PATTERN ANALYSIS AND APPLICATIONS

Landslide spatial susceptibility mapping by using GIS and remote sensing techniques: a case study in Zigui County, the Three Georges reservoir, China

(2014) Tao Chen et al.   Environmental Earth Sciences

Landslide susceptibility analysis based on ArcGIS and Artificial Neural Network for a large catchment in Three Gorges region, China

(2014) Renneng Bi et al.   Environmental Earth Sciences

Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models

(2014) Ahmed M. Youssef et al.   GEOSCIENCES JOURNAL

Landslide susceptibility mapping using rough sets and back-propagation neural networks in the Three Gorges, China

(2013) Xueling Wu et al.   Environmental Earth Sciences

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Application of an evidential belief function model in landslide susceptibility mapping

(2012) Omar F. Althuwaynee et al.   COMPUTERS & GEOSCIENCES

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

(2012) Krishna Chandra Devkota et al.   NATURAL HAZARDS

GIS-based assessment of landslide susceptibility on the base of the Weights-of-Evidence model

(2011) Bettina Neuhäuser et al.   Landslides

Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models

(2009) Biswajeet Pradhan et al.   Environmental Earth Sciences

Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods

(2009) Tapas R. Martha et al.   GEOMORPHOLOGY

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

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations

(2007) Ali Yalcin   CATENA