Landslide risk assessment and management using hybrid machine learning‐based empirical models
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Landslide risk assessment and management using hybrid machine learning‐based empirical models
Authors
Keywords
-
Journal
GEOLOGICAL JOURNAL
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-10-31
DOI
10.1002/gj.4897
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Evaluation of deep learning algorithms for landslide susceptibility mapping in an alpine-gorge area: a case study in Jiuzhaigou County
- (2023) Di Wang et al. Journal of Mountain Science
- Experimental and theoretical investigation of coupled damage of rock under combined disturbance
- (2023) Wei Yao et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Elevation dependence of landslide activity induced by climate change in the eastern Pamirs
- (2023) Yanqian Pei et al. Landslides
- Development of crack and damage in shield tunnel lining under seismic loading: Refined 3D finite element modeling and analyses
- (2023) Chao Liu et al. THIN-WALLED STRUCTURES
- Study on the Thermospheric Density Distribution Pattern during Geomagnetic Activity
- (2023) Lirong Yin et al. Applied Sciences-Basel
- Risk assessment and zoning of flood disaster in Wuchengxiyu Region, China
- (2023) Cheng Gao et al. Urban Climate
- Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran
- (2023) Rahim Tavakolifar et al. Land
- Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling
- (2023) Ashok Dahal et al. COMPUTERS & GEOSCIENCES
- Seismic performance of advanced three-dimensional base-isolated nuclear structures in complex-layered sites
- (2023) Yu Liu et al. ENGINEERING STRUCTURES
- A depth information-based method to enhance rainfall-induced landslide deformation area identification
- (2023) Canming Yuan et al. MEASUREMENT
- Seismic fragility and demand hazard analyses for earth slopes incorporating soil property variability
- (2023) Wei Wang et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- Distribution and Recurrence of Warming‐Induced Retrogressive Thaw Slumps on the Central Qinghai‐Tibet Plateau
- (2023) Dongdong Yang et al. JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
- U-Net-STN: A Novel End-to-End Lake Boundary Prediction Model
- (2023) Lirong Yin et al. Land
- Erosion risk mapping of Anambra State in southeastern Nigeria: soil loss estimation by RUSLE model and geoinformatics
- (2022) Johnbosco C. Egbueri et al. Bulletin of Engineering Geology and the Environment
- A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran
- (2022) Bahareh Ghasemian et al. SENSORS
- Influence of sampling design on landslide susceptibility modeling in lithologically heterogeneous areas
- (2022) Andrei Dornik et al. Scientific Reports
- A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan
- (2022) Naeem Shahzad et al. Applied Sciences-Basel
- A Novel Intelligent Method Based on the Gaussian Heatmap Sampling Technique and Convolutional Neural Network for Landslide Susceptibility Mapping
- (2022) Yibing Xiong et al. Remote Sensing
- Surface multi-hazard effect of underground coal mining
- (2022) Shuyue Ma et al. Landslides
- A comparative study for landslide susceptibility assessment using machine learning algorithms based on grid unit and slope unit
- (2022) Niandong Deng et al. Frontiers in Environmental Science
- Integration and comparison of algorithmic weight of evidence and logistic regression in landslide susceptibility mapping of the Orumba North erosion-prone region, Nigeria
- (2022) Vincent E. Nwazelibe et al. Modeling Earth Systems and Environment
- An integrated geoinformatics and hydrogeological approach to delineating groundwater potential zones in the complex geological terrain of Abuja, Nigeria
- (2022) Mary N. Etuk et al. Modeling Earth Systems and Environment
- Centrifuge modeling of multi-row stabilizing piles reinforced reservoir landslide with different row spacings
- (2022) Chenyang Zhang et al. Landslides
- Deduction of sudden rainstorm scenarios: integrating decision makers' emotions, dynamic Bayesian network and DS evidence theory
- (2022) Xiaoliang Xie et al. NATURAL HAZARDS
- The influence of sampling on landslide susceptibility mapping using artificial neural networks
- (2022) Samuel Gameiro et al. Geocarto International
- Methodological Guide to Forensic Hydrology
- (2022) Alfonso Gutierrez-Lopez Water
- Machine Learning Techniques for Gully Erosion Susceptibility Mapping: A Review
- (2022) Hamid Mohebzadeh et al. Geosciences (Switzerland)
- Seismic performance assessment of unsaturated soil slope in different groundwater levels
- (2021) Shuai Huang et al. Landslides
- GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling
- (2021) Wenwu Chen et al. CATENA
- Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
- (2021) Alireza Arabameri et al. Journal of Hydrology-Regional Studies
- Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features
- (2021) Liang Zhou et al. IEEE Geoscience and Remote Sensing Letters
- Gaussian Inflection Point Selection for LiDAR Hidden Echo Signal Decomposition
- (2021) Guoqing Zhou et al. IEEE Geoscience and Remote Sensing Letters
- An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR
- (2021) Guoqing Zhou et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- An image recognition method for the deformation area of open-pit rock slopes under variable rainfall
- (2021) Qihang Li et al. MEASUREMENT
- The importance of input data on landslide susceptibility mapping
- (2021) Krzysztof Gaidzik et al. Scientific Reports
- Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
- (2021) Zizheng Guo et al. Geoscience Frontiers
- Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
- (2020) Abdelaziz Merghadi et al. EARTH-SCIENCE REVIEWS
- Effects of sampling intensity and non-slide/slide sample ratio on the occurrence probability of coseismic landslides
- (2020) Xiaoyi Shao et al. GEOMORPHOLOGY
- Comparative landslide spatial research based on various sample sizes and ratios in Penang Island, Malaysia
- (2020) Han Gao et al. Bulletin of Engineering Geology and the Environment
- An augmented representation method of debris flow scenes to improve public perception
- (2020) Weilian Li et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Landslide susceptibility modelling using different advanced decision trees methods
- (2019) Binh Thai Pham et al. CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS
- Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
- (2019) Wei Chen et al. Geocarto International
- Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities
- (2019) Omid Rahmati et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
- (2019) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-based FR–RF Integrated Model and Multiresolution DEMs
- (2019) Arabameri et al. Remote Sensing
- Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm
- (2019) Haifeng Tian et al. Remote Sensing
- Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
- (2019) Ataollah Shirzadi et al. CATENA
- Spatial prediction of landslide susceptibility in Taleghan basin, Iran
- (2019) Maryam Mokhtari et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Exploring Influence of Sampling Strategies on Event-Based Landslide Susceptibility Modeling
- (2019) Lai et al. ISPRS International Journal of Geo-Information
- Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping
- (2019) Hamid Reza Pourghasemi et al. CATENA
- A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
- (2019) A-Xing Zhu et al. CATENA
- The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers
- (2019) Davoud Davoudi Moghaddam et al. CATENA
- Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping
- (2018) A-Xing Zhu et al. CATENA
- Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches
- (2018) Omid Rahmati et al. JOURNAL OF HYDROLOGY
- Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods
- (2018) Ho Gul Kim et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea
- (2018) Sung-Jae Park et al. Remote Sensing
- The Characteristics and the Erodibility Potentials of Soils from Different Geologic Formations in Anambra State, Southeastern Nigeria
- (2018) Ogbonnaya Igwe et al. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
- Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling
- (2017) Hamid Reza Pourghasemi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran
- (2016) Omid Rahmati 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
- Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia
- (2014) Zahrul Umar et al. CATENA
- GeoFIS: An integrated tool for the assessment of landslide susceptibility
- (2014) Turgay Osna et al. COMPUTERS & GEOSCIENCES
- Application of GIS based data driven evidential belief function model to predict groundwater potential zonation
- (2014) Haleh Nampak et al. JOURNAL OF HYDROLOGY
- 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 Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- (2010) H. A. Nefeslioglu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Techniques for evaluating the performance of landslide susceptibility models
- (2009) Paolo Frattini et al. ENGINEERING GEOLOGY
- Effects of sample size on the accuracy of geomorphological models
- (2008) Jan Hjort et al. GEOMORPHOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search