Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
Authors
Keywords
-
Journal
SENSORS
Volume 18, Issue 8, Pages 2464
Publisher
MDPI AG
Online
2018-08-01
DOI
10.3390/s18082464
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
- (2018) Khabat Khosravi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
- (2018) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment
- (2018) Mousa Abedini et al. Geocarto International
- A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
- (2017) Haoyuan Hong et al. Environmental Earth Sciences
- A novel hybrid artificial intelligence approach for flood susceptibility assessment
- (2017) Kamran Chapi et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
- (2017) Wei Chen et al. GEODERMA
- GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models
- (2017) Wei Chen et al. Geomatics Natural Hazards & Risk
- 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
- Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions
- (2016) Wei Chen et al. Environmental Earth Sciences
- 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
- From ERS-1/2 to Sentinel-1: two decades of subsidence monitored through A-DInSAR techniques in the Ravenna area (Italy)
- (2016) Simone Fiaschi et al. GIScience & Remote Sensing
- 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
- Geomorphological and Hydrological Effects of Subsidence and Land use Change in Industrial and Urban Areas
- (2016) Robert Machowski et al. LAND DEGRADATION & DEVELOPMENT
- 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
- 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 GIS-based statistical models and Remote sensing data in tropical environment
- (2015) Himan Shahabi et al. Scientific Reports
- Effective Automated Prediction of Vertebral Column Pathologies Based on Logistic Model Tree with SMOTE Preprocessing
- (2014) Esra Mahsereci Karabulut et al. JOURNAL OF MEDICAL SYSTEMS
- Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS
- (2014) Biswajeet Pradhan et al. NATURAL HAZARDS
- Application of InSAR and GIS Techniques to Ground Subsidence Assessment in the Nobi Plain, Central Japan
- (2014) Minxue Zheng et al. SENSORS
- Ensemble of ground subsidence hazard maps using fuzzy logic
- (2014) Inhye Park et al. Open Geosciences
- Landslide susceptibility assessment using object mapping units, decision tree, and support vector machine models in the Three Gorges of China
- (2013) Xueling Wu et al. Environmental Earth Sciences
- 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
- Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines
- (2013) Saro Lee et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
- (2013) F. Martínez-Álvarez et al. KNOWLEDGE-BASED SYSTEMS
- Land subsidence in central Mexico detected by ALOS InSAR time-series
- (2013) Estelle Chaussard et al. REMOTE SENSING OF ENVIRONMENT
- Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping
- (2012) Inhye Park et al. COMPUTERS & GEOSCIENCES
- Landslide susceptibility mapping along road corridors in the Indian Himalayas using Bayesian logistic regression models
- (2012) Iswar Das et al. GEOMORPHOLOGY
- Spatial Prediction of Ground Subsidence Susceptibility Using an Artificial Neural Network
- (2011) Saro Lee et al. ENVIRONMENTAL MANAGEMENT
- A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey
- (2011) Aykut Akgun Landslides
- Assessment of ground subsidence using GIS and the weights-of-evidence model
- (2010) Hyun-Joo Oh et al. ENGINEERING GEOLOGY
- Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines
- (2010) Hyun-Joo Oh et al. Environmental Earth Sciences
- Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea
- (2009) Jong-Kuk Choi et al. Environmental Earth Sciences
- Risk assessment of land subsidence at Tianjin coastal area in China
- (2009) Beibei Hu et al. Environmental Earth Sciences
- Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
- (2009) Işık Yilmaz Environmental Earth Sciences
- Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
- (2008) X. Yao 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 MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now