Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
出版年份 2020 全文链接
标题
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
作者
关键词
-
出版物
Forests
Volume 11, Issue 4, Pages 421
出版商
MDPI AG
发表日期
2020-04-10
DOI
10.3390/f11040421
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
- (2020) Himan Shahabi et al. Remote Sensing
- Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
- (2020) Guirong Wang et al. Symmetry-Basel
- Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
- (2020) Viet-Ha Nhu et al. CATENA
- A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
- (2020) Dong Van Dao et al. CATENA
- Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
- (2020) Viet-Ha Nhu et al. Water
- Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms
- (2019) Kamal Taheri et al. LAND DEGRADATION & DEVELOPMENT
- Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
- (2019) Wei Chen et al. Geocarto International
- Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
- (2019) Vu Nguyen et al. Forests
- GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms
- (2019) Alireza Arabameri et al. Journal of Mountain Science
- A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
- (2019) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling
- (2019) Qingfeng He et al. Entropy
- Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
- (2019) Abolfazl Jaafari et al. AGRICULTURAL AND FOREST METEOROLOGY
- Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
- (2019) Qingfeng He et al. SCIENCE OF THE TOTAL ENVIRONMENT
- PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
- (2019) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
- (2019) Dieu Tien Bui et al. SENSORS
- Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
- (2019) Dieu Tien Bui et al. Remote Sensing
- SWPT: An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors
- (2019) Omid Rahmati et al. Geoscience Frontiers
- Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
- (2019) Ataollah Shirzadi et al. CATENA
- Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
- (2019) Nguyen et al. Applied Sciences-Basel
- Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
- (2019) Wei Chen et al. JOURNAL OF HYDROLOGY
- Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
- (2019) Binh Thai Pham et al. SCIENCE OF THE TOTAL ENVIRONMENT
- New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
- (2019) Dieu Tien Bui et al. Forests
- Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
- (2019) Pham et al. Sustainability
- SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
- (2019) Saro Lee et al. Applied Sciences-Basel
- Predicting Slope Stability Failure through Machine Learning Paradigms
- (2019) Bui et al. ISPRS International Journal of Geo-Information
- The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
- (2019) Hossein Moayedi et al. ISPRS International Journal of Geo-Information
- Hybrid computational intelligence models for groundwater potential mapping
- (2019) Binh Thai Pham et al. CATENA
- Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
- (2019) Yi Wang et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
- (2019) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Gully Head-Cut Distribution Modeling Using Machine Learning Methods—A Case Study of N.W. Iran
- (2019) Alireza Arabameri et al. Water
- A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling
- (2018) Binh Thai Pham et al. Bulletin of Engineering Geology and the 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
- Territorial early warning systems for rainfall-induced landslides
- (2018) Luca Piciullo et al. EARTH-SCIENCE REVIEWS
- LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process
- (2018) Abolfazl Jaafari Environmental Earth Sciences
- Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures
- (2018) B. Bout et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees
- (2018) Binh Thai Pham et al. GEOMORPHOLOGY
- Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
- (2018) Hossein Shafizadeh-Moghadam et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
- (2018) Binh Thai Pham et al. Journal of the Indian Society of Remote Sensing
- Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
- (2018) Haoyuan Hong et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
- (2018) Luigi Lombardo et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
- (2018) M. Ahmadlou et al. Geocarto International
- A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment
- (2018) Mousa Abedini et al. Geocarto International
- Land use change modeling through an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis (case study: Arasbaran region, Iran)
- (2018) Vahid Nasiri et al. JOURNAL OF FORESTRY RESEARCH
- Presenting logistic regression-based landslide susceptibility results
- (2018) Luigi Lombardo et al. ENGINEERING GEOLOGY
- Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
- (2018) Dieu Tien Bui et al. SENSORS
- Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach
- (2018) Shaghayegh Miraki et al. WATER RESOURCES MANAGEMENT
- Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping
- (2018) Prima Kadavi et al. Remote Sensing
- A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides
- (2018) Dieu Tien Bui et al. Remote Sensing
- New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
- (2018) Dieu Tien Bui et al. Water
- Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran
- (2018) Mohsen Alizadeh et al. Sustainability
- Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
- (2018) Wei Chen et al. Bulletin of Engineering Geology and the Environment
- Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
- (2018) Haoyuan Hong et al. NATURAL HAZARDS
- Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
- (2018) Ataollah Shirzadi et al. SENSORS
- A Novel Hybrid Approach of Landslide Susceptibility Modeling Using Rotation Forest Ensemble and Different Base Classifiers
- (2018) Binh Thai Pham et al. Geocarto International
- Comparative analysis of statistical methods for landslide susceptibility mapping in the Bostanlik District, Uzbekistan
- (2018) Mukhiddin Juliev et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models
- (2018) Ali Azareh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
- (2018) Binh Thai Pham et al. CATENA
- Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio
- (2017) Ataollah Shirzadi et al. Environmental Earth Sciences
- Mapping landslide susceptibility with frequency ratio, statistical index, and weights of evidence models: a case study in northern Iran
- (2017) Samaneh Razavizadeh et al. Environmental Earth Sciences
- Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
- (2017) Ataollah Shirzadi et al. Environmental Earth Sciences
- A novel hybrid artificial intelligence approach for flood susceptibility assessment
- (2017) Kamran Chapi et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model
- (2017) Daniela Castro Camilo et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea
- (2017) Jeong-Cheol Kim et al. Geocarto International
- A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
- (2017) Wei Chen et al. Geomatics Natural Hazards & Risk
- GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
- (2016) Dieu Tien Bui et al. Environmental Earth Sciences
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
- (2016) Binh Thai Pham et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
- (2016) Dieu Tien Bui et al. JOURNAL OF HYDROLOGY
- Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy)
- (2016) L. Lombardo et al. NATURAL HAZARDS
- A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran
- (2015) Alireza Dehnavi et al. CATENA
- Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
- (2015) Haoyuan Hong et al. CATENA
- Quantitative assessment of landslide susceptibility along the Xianshuihe fault zone, Tibetan Plateau, China
- (2015) Changbao Guo et al. GEOMORPHOLOGY
- Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy)
- (2015) L. Lombardo et al. NATURAL HAZARDS
- Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
- (2015) Binh Thai Pham et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Landslide susceptibility mapping by frequency ratio and logistic regression methods: an example from Niksar–Resadiye (Tokat, Turkey)
- (2014) Gokhan Demir et al. Arabian Journal of Geosciences
- Landslide susceptibility mapping using ensemble bivariate and multivariate statistical models in Fayfa area, Saudi Arabia
- (2014) Ahmed M. Youssef et al. Environmental Earth Sciences
- Application of GIS based data driven evidential belief function model to predict groundwater potential zonation
- (2014) Haleh Nampak et al. JOURNAL OF HYDROLOGY
- An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district
- (2014) Taskin Kavzoglu et al. NATURAL HAZARDS
- Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran
- (2013) HAMID REZA POURGHASEMI et al. Journal of Earth System Science
- A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA
- (2013) Netra R. Regmi et al. Landslides
- Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
- (2013) Natan Micheletti et al. Mathematical Geosciences
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
- (2012) Biswajeet Pradhan COMPUTERS & GEOSCIENCES
- Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea
- (2012) Soyoung Park et al. Environmental Earth Sciences
- Using MODIS NDVI Time Series to Identify Geographic Patterns of Landslides in Vegetated Regions
- (2012) Wentao Yang et al. IEEE Geoscience and Remote Sensing Letters
- Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
- (2011) Hyun-Joo Oh et al. COMPUTERS & GEOSCIENCES
- Seismic stability analysis of soil nail reinforced slope using kinematic approach of limit analysis
- (2011) Siming He et al. Environmental Earth Sciences
- Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy
- (2011) P.M. Atkinson et al. GEOMORPHOLOGY
- Receiver operating characteristic (ROC) curve for medical researchers
- (2011) Rajeev Kumar et al. INDIAN PEDIATRICS
- An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter
- (2010) Pece V. Gorsevski et al. COMPUTERS & GEOSCIENCES
- Information gain as a score for probabilistic forecasts
- (2010) Riccardo Peirolo METEOROLOGICAL APPLICATIONS
- Ensemble-based classifiers
- (2009) Lior Rokach ARTIFICIAL INTELLIGENCE REVIEW
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)
- (2008) Işık Yilmaz COMPUTERS & GEOSCIENCES
- A review of assessing landslide frequency for hazard zoning purposes
- (2008) Jordi Corominas et al. ENGINEERING GEOLOGY
- Comparing landslide inventory maps
- (2007) Mirco Galli et al. GEOMORPHOLOGY
- Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)
- (2007) Hakan A. Nefeslioglu et al. GEOMORPHOLOGY
Publish 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 MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started