Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
出版年份 2021 全文链接
标题
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
作者
关键词
-
出版物
Earth Science Informatics
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-06-24
DOI
10.1007/s12145-021-00653-y
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Machine learning algorithm for flash flood prediction mapping in Wadi El-Laqeita and surroundings, Central Eastern Desert, Egypt
- (2021) Sherif Ahmed Abu El-Magd et al. Arabian Journal of Geosciences
- Assessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from Slovakia
- (2020) Jana Vojteková et al. Geomatics Natural Hazards & Risk
- Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China
- (2020) Juan Cao et al. NATURAL HAZARDS
- Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
- (2020) Viet-Ha Nhu et al. International Journal of Environmental Research and Public Health
- Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
- (2020) Ahmed Mohamed Youssef et al. Geoscience Frontiers
- GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia
- (2020) Sk Ajim Ali et al. ECOLOGICAL INDICATORS
- A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping
- (2020) Zhice Fang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- GIS-Based Landslide Susceptibility Modeling: A Comparison between Fuzzy Multi-Criteria and Machine Learning Algorithms
- (2020) Sk Ajim Ali et al. Geoscience Frontiers
- Evaluation of re-sampling methods on performance of machine learning models to predict landslide susceptibility
- (2020) Moslem Borji Hassangavyar et al. Geocarto International
- Landslide susceptibility mapping in three Upazilas of Rangamati hill district Bangladesh: application and comparison of GIS-based machine learning methods
- (2020) Yasin Wahid Rabby et al. Geocarto International
- Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms
- (2020) Abdul-Lateef Balogun et al. Geoscience Frontiers
- Heavy Rainfall Triggering Shallow Landslides: A Susceptibility Assessment by a GIS-Approach in a Ligurian Apennine Catchment (Italy)
- (2019) Anna Roccati et al. Water
- Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling
- (2019) Quoc Pham et al. Water
- 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 novel voting ensemble model for spatial prediction of landslides using GIS
- (2019) Shruti Sachdeva et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
- (2019) Yacine Achour et al. Geoscience Frontiers
- Multi-criteria decision-making for the analysis of flash floods: A case study of Awlad Toq-Sherq, Southeast Sohag, Egypt
- (2019) Sherif A. Abu El-Magd et al. JOURNAL OF AFRICAN EARTH SCIENCES
- 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
- The size, distribution, and mobility of landslides caused by the 2015 M w 7.8 Gorkha earthquake, Nepal
- (2018) Kevin Roback et al. GEOMORPHOLOGY
- 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
- 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
- Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa
- (2018) Jean Baptiste Nsengiyumva et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
- (2017) Wei Chen et al. GEOMORPHOLOGY
- A subaqueous hazard map for earthquake-triggered landslides in Lake Zurich, Switzerland
- (2017) M. Strupler 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
- 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
- Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data
- (2017) Mustafa Ridha Mezaal et al. Applied Sciences-Basel
- 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
- Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
- (2016) Haoyuan Hong et al. GEOMORPHOLOGY
- Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
- (2015) J.N. Goetz et al. COMPUTERS & GEOSCIENCES
- Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran
- (2015) Himan Shahabi et al. Environmental Earth Sciences
- Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
- (2015) Alessandro Trigila et al. GEOMORPHOLOGY
- Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping
- (2015) Vahid Moosavi et al. Landslides
- 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
- Remediation and mitigation strategies for rock fall hazards along the highways of Fayfa Mountain, Jazan Region, Kingdom of Saudi Arabia
- (2014) Norbert H. Maerz et al. Arabian Journal of Geosciences
- 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
- Debris flow impact assessment along the Al-Raith Road, Kingdom of Saudi Arabia, using remote sensing data and field investigations
- (2014) Ahmed M. Youssef et al. Geomatics Natural Hazards & Risk
- Overview of some geological hazards in the Saudi Arabia
- (2013) Ahmed M. Youssef et al. Environmental Earth Sciences
- Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
- (2013) Natan Micheletti et al. Mathematical Geosciences
- Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal
- (2012) P. Kayastha et al. COMPUTERS & GEOSCIENCES
- 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
- A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey
- (2011) A. Yalcin et al. CATENA
- Landslide susceptibility assessment using SVM machine learning algorithm
- (2011) Miloš Marjanović et al. ENGINEERING GEOLOGY
- Landslides and lineament mapping along the Simpang Pulai to Kg Raja highway, Malaysia
- (2011) N. Yusof et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Letter to the Editor: Stability of Random Forest importance measures
- (2010) M. L. Calle et al. BRIEFINGS IN BIOINFORMATICS
- Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia
- (2009) Biswajeet Pradhan et al. Landslides
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