A frequency ratio–based sampling strategy for landslide susceptibility assessment
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A frequency ratio–based sampling strategy for landslide susceptibility assessment
Authors
Keywords
-
Journal
Bulletin of Engineering Geology and the Environment
Volume 81, Issue 9, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-08-13
DOI
10.1007/s10064-022-02836-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prediction of landslide displacement with dynamic features using intelligent approaches
- (2022) Yonggang Zhang et al. International Journal of Mining Science and Technology
- Landslide susceptibility modeling based on GIS and ensemble techniques
- (2022) Heping Yan et al. Arabian Journal of Geosciences
- A bibliometric analysis of the landslide susceptibility research (1999–2021)
- (2022) Lei-Lei Liu et al. Geocarto International
- Implications of landslide inventory in susceptibility modeling along a Himalayan highway corridor, India
- (2021) Vijendra Kumar Pandey et al. PHYSICAL GEOGRAPHY
- Application of deep learning algorithms in geotechnical engineering: a short critical review
- (2021) Wengang Zhang et al. ARTIFICIAL INTELLIGENCE REVIEW
- A new statistical model for extreme rainfall: POT-KumGP
- (2021) Senem Tekin et al. Earth Science Informatics
- Geohazards and human settlements: Lessons learned from multiple relocation events in Badong, China – Engineering geologist's perspective
- (2021) Wenping Gong et al. ENGINEERING GEOLOGY
- Evaluation of spatial probability of landslides using bivariate and multivariate approaches in the Goriganga valley, Kumaun Himalaya, India
- (2021) Sandeep Kumar et al. NATURAL HAZARDS
- Bagging-based machine learning algorithms for landslide susceptibility modeling
- (2021) Tingyu Zhang et al. NATURAL HAZARDS
- Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China
- (2021) Wei Xie et al. NATURAL HAZARDS
- Object-based machine learning approach for soybean mapping using temporal sentinel-1/sentinel-2 data
- (2021) Mamta Kumari et al. Geocarto International
- Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India
- (2021) Kanu Mandal et al. Geoscience Frontiers
- A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
- (2020) Viet-Hung Dang et al. Forests
- Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network
- (2020) Li Zhu et al. SENSORS
- Landslide identification using machine learning
- (2020) Haojie Wang et al. Geoscience Frontiers
- Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
- (2020) Faming Huang et al. CATENA
- Influence of the mapping unit for regional landslide early warning systems: comparison between pixels and polygons in Catalonia (NE Spain)
- (2020) Rosa M. Palau et al. Landslides
- Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model
- (2020) Faming Huang et al. Landslides
- Dynamic development of landslide susceptibility based on slope unit and deep neural networks
- (2020) Ye Hua et al. Landslides
- 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
- Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
- (2020) Phuong Thao Thi Ngo et al. Geoscience Frontiers
- Physical model test study on shear strength characteristics of slope sliding surface in Nanfen open-pit mine
- (2020) Zhigang Tao et al. International Journal of Mining Science and Technology
- Optimal slope units partitioning in landslide susceptibility mapping
- (2020) Chiara Martinello et al. Journal of Maps
- Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations in Three Gorges Reservoir, China
- (2020) Wengang Zhang et al. Frontiers of Structural and Civil Engineering
- Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon
- (2020) Sunmin Lee et al. Applied Sciences-Basel
- Investigation of the influence of nonoccurrence sampling on landslide susceptibility assessment using Artificial Neural Networks
- (2020) Luísa Vieira Lucchese et al. CATENA
- GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China
- (2019) Yu Zhao et al. ENGINEERING GEOLOGY
- A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
- (2019) A-Xing Zhu et al. CATENA
- Landslide susceptibility mapping using an automatic sampling algorithm based on two level random sampling
- (2019) Hakan Aktas et al. COMPUTERS & GEOSCIENCES
- Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin
- (2019) Qiao Hu et al. GEOMORPHOLOGY
- Review on landslide susceptibility mapping using support vector machines
- (2018) Yu Huang et al. CATENA
- A review of statistically-based landslide susceptibility models
- (2018) Paola Reichenbach et al. EARTH-SCIENCE REVIEWS
- Application of analytic hierarchy process, frequency ratio, and statistical index to landslide susceptibility: an approach to endangered cultural heritage
- (2018) Ionut Cristi Nicu Environmental Earth Sciences
- 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
- Few-Example Object Detection with Model Communication
- (2018) Xuanyi Dong et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
- (2018) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea
- (2017) Jeong-Cheol Kim et al. Geocarto International
- 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
- 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
- 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
- Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems
- (2015) Wing W. Y. Ng et al. IEEE Transactions on Cybernetics
- Integrating the Analytical Hierarchy Process (AHP) and the frequency ratio (FR) model in landslide susceptibility mapping of Shiv-khola watershed, Darjeeling Himalaya
- (2014) Sujit Mondal et al. International Journal of Disaster Risk Science
- A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
- (2013) Omar F. Althuwaynee et al. CATENA
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
- (2013) Taskin Kavzoglu et al. Landslides
- Global patterns of loss of life from landslides
- (2012) David Petley GEOLOGY
- Application of kernel-based Fisher discriminant analysis to map landslide susceptibility in the Qinggan River delta, Three Gorges, China
- (2012) Sanwei He et al. GEOMORPHOLOGY
- MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
- (2012) Sukarna Barua et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods
- (2012) Gökhan Demir et al. NATURAL HAZARDS
- Inverse random under sampling for class imbalance problem and its application to multi-label classification
- (2012) Muhammad Atif Tahir et al. PATTERN RECOGNITION
- Landslide susceptibility assessment using SVM machine learning algorithm
- (2011) Miloš Marjanović et al. ENGINEERING GEOLOGY
- Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy
- (2011) P.M. Atkinson et al. GEOMORPHOLOGY
- A new method of pseudo absence data generation in landslide susceptibility mapping with a case study of Shenzhen
- (2011) ChenChao Xiao et al. Science China-Technological Sciences
- Assessing the effects of pseudo-absences on predictive distribution model performance
- (2007) Rosa M. Chefaoui et al. ECOLOGICAL MODELLING
- GIS technology and models for assessing landslide hazard and risk
- (2007) Alberto Carrara 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