Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China
出版年份 2022 全文链接
标题
Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China
作者
关键词
-
出版物
GEOFLUIDS
Volume 2022, Issue -, Pages 1-32
出版商
Hindawi Limited
发表日期
2022-09-09
DOI
10.1155/2022/2058442
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。- Landslide longitudinal shape: a new concept for complementing landslide aspect ratio
- (2022) Langping Li et al. Landslides
- Landform classification: a high-performing mapping unit partitioning tool for landslide susceptibility assessment—a test in the Imera River basin (northern Sicily, Italy)
- (2022) Chiara Martinello et al. Landslides
- The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: a case study of Anhui Province in China
- (2022) Chuhan Wang et al. NATURAL HAZARDS
- Debris flow susceptibility zonation using statistical models in parts of Northwest Indian Himalayas—implementation, validation, and comparative evaluation
- (2022) Rajesh Kumar Dash et al. NATURAL HAZARDS
- A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran
- (2022) Bahareh Ghasemian et al. SENSORS
- Multi-Hazard Susceptibility Assessment Using the Analytical Hierarchy Process and Frequency Ratio Techniques in the Northwest Himalayas, Pakistan
- (2022) Adnanul Rehman et al. Remote Sensing
- Fault and fracture network characterization using seismic data: a study based on neural network models assessment
- (2022) Qamar Yasin et al. Geomechanics and Geophysics for Geo-Energy and Geo-Resources
- The performance of the Dharan-Dhankuta Road, east Nepal, in the context of the Fookes et al. (1985) mountain model: a tribute to the late Professor PG Fookes
- (2022) Gareth James Hearn et al. Bulletin of Engineering Geology and the Environment
- Landslide susceptibility assessment using AHP model and multi resolution DEMs along a highway in Manipur, India
- (2022) Malemnganbi Lourembam Chanu et al. Environmental Earth Sciences
- GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya
- (2022) Suvam Das et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Can citizen scientists provide a reliable geo-hydrological hazard inventory? An analysis of biases, sensitivity and precision for the Rwenzori Mountains, Uganda
- (2022) John Sekajugo et al. Environmental Research Letters
- Application of convolutional neural network fused with machine learning modeling framework for geospatial comparative analysis of landslide susceptibility
- (2022) Zemin Gao et al. NATURAL HAZARDS
- Susceptibility Analysis of Geohazards in the Longmen Mountain Region after the Wenchuan Earthquake
- (2022) Shuai Li et al. International Journal of Environmental Research and Public Health
- Mapping of landslide potential in Pyeongchang-gun, South Korea, using machine learning meta-based optimization algorithms
- (2022) Muhammad Fulki Fadhillah et al. Egyptian Journal of Remote Sensing and Space Sciences
- Machine learning approach to predict susceptible growth regions of Moringa peregrina (Forssk)
- (2021) Ehsan Moradi et al. Ecological Informatics
- Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models
- (2021) Anna Małka Natural Hazards
- A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China
- (2021) Wei Xie et al. ISPRS International Journal of Geo-Information
- Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model
- (2021) Halil Akinci et al. Acta Geophysica
- Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India
- (2021) Somnath Bera et al. Natural Hazards
- A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping
- (2021) Zhu Liang et al. Remote Sensing
- Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods
- (2021) Qian He et al. Remote Sensing
- A Research on Susceptibility Mapping of Multiple Geological Hazards in Yanzi River Basin, China
- (2021) Ruiyuan Gao et al. ISPRS International Journal of Geo-Information
- Slope Unit-Based Landslide Susceptibility Mapping Using Certainty Factor, Support Vector Machine, Random Forest, CF-SVM and CF-RF Models
- (2021) Zhou Zhao et al. Frontiers in Earth Science
- Performance analysis of landslide susceptibility assessment under different factor-filtering models
- (2021) Yangchun Li et al. Arabian Journal of Geosciences
- Tsunami Squares modeling of landslide tsunami generation considering the ‘Push Ahead’ effects in slide/water interactions: Theory, experimental validation, and sensitivity analyses
- (2021) Jiajia Wang et al. ENGINEERING GEOLOGY
- A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran
- (2021) Elham Rafiei Sardooi et al. Environmental Earth Sciences
- GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
- (2021) Abdulwaheed Tella et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China
- (2021) Bin Li et al. Advances in Civil Engineering
- Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
- (2021) Abolfazl Jaafari et al. APPLIED SOFT COMPUTING
- Landslide susceptibility mapping using GIS-based machine learning algorithms for the Northeast Chongqing Area, China
- (2021) Zhigang Bai et al. Arabian Journal of Geosciences
- Landslide Susceptibility Assessment Using an AutoML Framework
- (2021) Adrián G. Bruzón et al. International Journal of Environmental Research and Public Health
- PS-InSAR-Based Validated Landslide Susceptibility Mapping along Karakorum Highway, Pakistan
- (2021) Muhammad Afaq Hussain et al. Remote Sensing
- Spatial and Temporal Distribution of Geologic Hazards in Shaanxi Province
- (2021) Shizhengxiong Liang et al. Remote Sensing
- Hospital Site Suitability Assessment Using Three Machine Learning Approaches: Evidence from the Gaza Strip in Palestine
- (2021) Khaled Yousef Almansi et al. Applied Sciences-Basel
- Multiclassification Method of Landslide Risk Assessment in Consideration of Disaster Levels: A Case Study of Xianyang City, Shaanxi Province
- (2021) Shenghua Xu et al. ISPRS International Journal of Geo-Information
- A tree-based intelligence ensemble approach for spatial prediction of potential groundwater
- (2020) Mohammadtaghi Avand et al. International Journal of Digital Earth
- Comparison of Different Machine Learning Methods for Debris Flow Susceptibility Mapping: A Case Study in the Sichuan Province, China
- (2020) Ke Xiong et al. Remote Sensing
- Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions
- (2020) Guirong Wang et al. ISPRS International Journal of Geo-Information
- Landslide susceptibility mapping along the upper Jinsha River, south-western China: a comparison of hydrological and curvature watershed methods for slope unit classification
- (2020) Xiaohui Sun et al. Bulletin of Engineering Geology and the Environment
- Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models
- (2020) Tao Chen et al. Journal of Mountain Science
- Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques
- (2020) Mohammad Mehrabi et al. SENSORS
- Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
- (2020) Viet-Ha Nhu et al. Forests
- Landslide susceptibility mapping using hybridized block modular intelligence model
- (2020) Abbas Abbaszadeh Shahri et al. Bulletin of Engineering Geology and the Environment
- Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
- (2020) Faming Huang et al. CATENA
- Landslide displacement prediction based on multi-source data fusion and sensitivity states
- (2020) Yong Liu et al. ENGINEERING GEOLOGY
- Landslide Susceptibility Mapping Using the Stacking Ensemble Machine Learning Method in Lushui, Southwest China
- (2020) Xudong Hu et al. Applied Sciences-Basel
- Medium scale earthflow susceptibility modelling by remote sensing and geographical information systems based multivariate statistics approach: an example from Northeastern Turkey
- (2020) Serhat Dağ et al. Environmental Earth Sciences
- Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
- (2020) Binh Thai Pham et al. CATENA
- Mapping Landslide Susceptibility Using Machine Learning Algorithms and GIS: A Case Study in Shexian County, Anhui Province, China
- (2020) Zitao Wang et al. Symmetry-Basel
- Temporal and spatial distributions of landslides in the Qinba Mountains, Shaanxi Province, China
- (2019) Haijun Qiu et al. Geomatics Natural Hazards & Risk
- Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China
- (2019) Yumiao Wang et al. International Journal of Environmental Research and Public Health
- Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
- (2019) Wei Chen et al. Geocarto International
- Detailed mapping of shallow landslides in eastern Oklahoma and western Arkansas and potential triggering by Oklahoma earthquakes
- (2019) Netra R. Regmi et al. GEOMORPHOLOGY
- Spatial prediction of landslide susceptibility in Taleghan basin, Iran
- (2019) Maryam Mokhtari et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
- (2019) Wei Chen et al. Applied Sciences-Basel
- A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches
- (2019) Ting Xiao et al. Landslides
- Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers
- (2019) Uwe Knauer et al. Remote Sensing
- Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction
- (2019) Hoang-Long Nguyen et al. Applied Sciences-Basel
- Factor analysis for the statistical modeling of earthquake-induced landslides
- (2019) Jeng-Wen Lin et al. Frontiers of Structural and Civil Engineering
- Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks
- (2019) L. Bragagnolo et al. ENVIRONMENTAL MODELLING & SOFTWARE
- 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
- Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
- (2018) Dieu Tien Bui et al. Remote Sensing
- Hybrid Integration Approach of Entropy with Logistic Regression and Support Vector Machine for Landslide Susceptibility Modeling
- (2018) Tingyu Zhang et al. Entropy
- Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)
- (2018) Yingxu Song et al. ISPRS International Journal of Geo-Information
- Prediction of landslide runout based on influencing factor analysis
- (2017) Zongxing Zou et al. Environmental Earth Sciences
- Frequency ratio and GIS-based evaluation of landslide susceptibility applied to cultural heritage assessment
- (2017) Ionut Cristi Nicu JOURNAL OF CULTURAL HERITAGE
- Evaluating the susceptibility of landslide landforms in Japan using slope stability analysis: a case study of the 2016 Kumamoto earthquake
- (2017) Chi-Wen Chen et al. Landslides
- Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey
- (2017) Metehan Ada et al. NATURAL HAZARDS
- An Improved Information Value Model Based on Gray Clustering for Landslide Susceptibility Mapping
- (2017) Qianqian Ba et al. ISPRS International Journal of Geo-Information
- Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China
- (2016) Wei 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 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
- GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China
- (2015) Qiqing Wang et al. Journal of Earth System Science
- Using statistical learning algorithms in regional landslide susceptibility zonation with limited landslide field data
- (2015) Yi-ting Wang et al. Journal of Mountain Science
- Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map
- (2015) Ioanna Ilia et al. Landslides
- GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran
- (2014) A. Jaafari et al. International Journal of Environmental Science and Technology
- An algorithm for the objective reconstruction of rainfall events responsible for landslides
- (2014) Massimo Melillo et al. Landslides
- 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
- Landslide susceptibility assessment using SVM machine learning algorithm
- (2011) Miloš Marjanović et al. ENGINEERING GEOLOGY
- Variable selection using random forests
- (2010) Robin Genuer et al. PATTERN RECOGNITION LETTERS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk 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