Articles | Volume 6, issue 5
https://doi.org/10.5194/nhess-6-687-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/nhess-6-687-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Earthquake-induced landslide-susceptibility mapping using an artificial neural network
S. Lee
Geoscience Information Center, Korea Institute of Geoscience & Mineral Resources (KIGAM), 30, Gajeong-dong, Yuseong-gu, Daejeon, 305–350, Korea
D. G. Evangelista
Mines and Geosciences Bureau, Department of Environment and Natural Resources, North Avenue, Diliman, Quezon City, Philippines
Viewed
Total article views: 6,607 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,693 | 4,669 | 245 | 6,607 | 110 | 86 |
- HTML: 1,693
- PDF: 4,669
- XML: 245
- Total: 6,607
- BibTeX: 110
- EndNote: 86
Cited
110 citations as recorded by crossref.
- Shear Modulus and Damping Ratio in Aggregate-Clay Mixtures: An Experimental Study Versus ANNs Prediction A. Shafiee & R. Ghate 10.3923/jas.2008.3068.3082
- Landslide susceptibility zonation in Greece N. Sabatakakis et al. 10.1007/s11069-012-0381-4
- Assessing Landslide Susceptibility in the Northern Stretch of Arun Tectonic Window, Nepal D. KC et al. 10.3390/civileng3020031
- The characteristics of the landslides triggered by the Wenchuan Ms 8.0 earthquake from Anxian to Beichuan J. Yin et al. 10.1016/j.jseaes.2009.12.002
- DEM-Based Analysis of Earthquake-Induced Shallow Landslide Susceptibility S. Hasegawa et al. 10.1007/s10706-008-9242-z
- Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region C. Xu et al. 10.1007/s12583-012-0236-7
- Urgent landslide susceptibility assessment in the 2013 Lushan earthquake-impacted area, Sichuan Province, China Z. Yang et al. 10.1007/s11069-014-1441-8
- GIS-based pre- and post-earthquake landslide susceptibility zonation with reference to 1999 Chamoli earthquake . Sangeeta et al. 10.1007/s12040-019-1319-y
- Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery L. Chen et al. 10.3390/f9100582
- Assessment, Categorisation and Prediction of the Landslide-Affected Regions Using Soft Computing and Clustering Techniques M. Quraishi & J. Choudhury 10.1007/s40031-023-00876-1
- GIS-Based Random Forest Weight for Rainfall-Induced Landslide Susceptibility Assessment at a Humid Region in Southern China P. Wang et al. 10.3390/w10081019
- GIS-based fuzzy-analytic network process (FAHP), fuzzy-analytic hierarchy process (FANP) methods and feature selection algorithm (FSA) to determine earthquake-prone areas in Kermanshah Province M. Mokarram et al. 10.1007/s12665-021-09934-7
- Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals Y. Nanehkaran et al. 10.3390/w15152707
- Geospatial modelling of drought patterns in Oman: GIS-based and machine learning approach S. Mansour 10.1007/s40808-024-01958-9
- Project ‘‘Mass Movements in Germany’’ and its implications for nationwide landslide susceptibility assessment J. Torizin et al. 10.1007/s10064-024-03691-0
- Utilization of Open Source Spatial Data for Landslide Susceptibility Mapping at Chittagong District of Bangladesh—An Appraisal for Disaster Risk Reduction and Mitigation Approach M. Islam et al. 10.4236/ijg.2017.84031
- GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, N-E Algeria F. Mahdadi et al. 10.1007/s12517-018-3770-5
- Assessment of shallow landslide susceptibility using an artificial neural network B. Zeng & X. Chen 10.1007/s12517-021-06843-8
- Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models M. Mohammady et al. 10.1016/j.jseaes.2012.10.005
- A Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content L. Chen et al. 10.3390/ijgi8040174
- An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps H. Nefeslioglu et al. 10.1016/j.enggeo.2008.01.004
- Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based G. Domènech et al. 10.1007/s10346-019-01279-4
- GIS-based bivariate statistical modelling for earthquake-triggered landslides susceptibility mapping related to the 2008 Wenchuan earthquake, China C. Xu et al. 10.1144/qjegh2012-006
- Assessing landslide susceptibility using Bayesian probability-based weight of evidence model E. Sujatha et al. 10.1007/s10064-013-0537-9
- Earthquake-induced landslide prediction using back-propagation type artificial neural network: case study in northern Iran A. Rajabi et al. 10.1007/s11069-021-04963-8
- Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: a new modular toolkit for landslide susceptibility assessment J. Torizin et al. 10.5194/gmd-15-2791-2022
- Improving Soil Property Mapping Using Support Vector Machines, Neural Networks, Gradient Boosted Trees and Random Forests Over Soils in Sub-Saharan Africa G. Akande et al. 10.2139/ssrn.4093599
- Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS J. Choi et al. 10.1016/j.enggeo.2011.09.011
- Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area B. Pradhan et al. 10.1080/19475705.2010.498151
- An artificial intelligence-based approach to predicting seismic hillslope stability under extreme rainfall events in the vicinity of Wolsong nuclear power plant, South Korea A. Pradhan & Y. Kim 10.1007/s10064-021-02138-0
- Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models C. Polykretis & C. Chalkias 10.1007/s11069-018-3299-7
- Slope unit-based distribution analysis of landslides triggered by the April 20, 2013, Ms 7.0 Lushan earthquake S. Zhou et al. 10.1007/s12517-015-1835-2
- Experimental Study on Deformation and Failure Characteristics of Interbedded Anti-inclined Rock Slopes Induced by Rainfall B. Zhang et al. 10.1007/s00603-023-03633-4
- Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning T. Zeng et al. 10.1016/j.enggeo.2024.107436
- Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan Area: Pre- and post-earthquake investigation H. Lin et al. 10.1016/j.enggeo.2008.11.007
- Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling B. Pradhan 10.1007/s10651-010-0147-7
- Detection of landslides using web-based aerial photographs and landslide susceptibility mapping using geospatial analysis S. Lee et al. 10.1080/01431161.2011.649862
- Predicting landslide scenes under potential earthquake scenarios in the Xianshuihe fault zone, Southwest China Y. Zhang et al. 10.1007/s11629-017-4363-6
- Landslide susceptibility assessment at Wadi Jawrah Basin, Jizan region, Saudi Arabia using two bivariate models in GIS A. Youssef et al. 10.1007/s12303-014-0065-z
- Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio P. Gorsevski et al. 10.1007/s10346-015-0587-0
- Assessment of deep catastrophic landslides susceptibility to earthquake N. TAKEZAWA et al. 10.13101/ijece.5.27
- Landslides susceptibility mapping based on geographical information system, GuiZhou, south-west China W. Wang et al. 10.1007/s00254-008-1488-5
- Soft computing in assessment of earthquake-triggered landslide susceptibility C. Xu et al. 10.1007/s12665-016-5576-7
- Investigation of Possible Landslide Precursor Activity in a Small-Scale Laboratory Experiment S. Krokidis et al. 10.4018/IJAGR.2018100105
- Back analysis of landslide susceptibility zonation mapping for the 2005 Kashmir earthquake: an assessment of the reliability of susceptibility zoning maps U. Kamp et al. 10.1007/s11069-009-9451-7
- Identification of concrete aggregates using K-means clustering and level set method L. Chen et al. 10.1016/j.istruc.2021.08.048
- Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland K. Pawluszek & A. Borkowski 10.1007/s11069-016-2725-y
- Statistical landslide susceptibility assessment in a dynamic environment: A case study for Lanzhou City, Gansu Province, NW China J. Torizin et al. 10.1007/s11629-017-4717-0
- GIS based landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal, India using binary logistic regression analysis S. Ramani et al. 10.1007/s11629-011-2157-9
- Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan S. Chang et al. 10.1016/j.enggeo.2011.01.001
- Regional Rainfall-Induced Landslide Risk Assessment Using Susceptibility Mapping and Unexpected High-Intensity Rainfall M. Anees et al. 10.1051/bioconf/202413104020
- Evaluation of prediction capability, robustness, and sensitivity in non-linear landslide susceptibility models, Guantánamo, Cuba C. Melchiorre et al. 10.1016/j.cageo.2010.10.004
- Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia B. Pradhan 10.1007/s12665-010-0705-1
- Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods B. Hailu et al. 10.1016/j.ecoinf.2017.10.001
- Medium-scale hazard mapping for shallow landslide initiation: the Buyukkoy catchment area (Cayeli, Rize, Turkey) H. Nefeslioglu et al. 10.1007/s10346-011-0267-7
- OR models with stochastic components in disaster operations management: A literature survey M. Hoyos et al. 10.1016/j.cie.2014.11.025
- Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea S. Lee et al. 10.1007/s10346-007-0088-x
- Review of study on post-earthquake stability of soil slopes J. Chen et al. 10.1088/1755-1315/304/4/042007
- Mechanism of Root Reinforcement Involved in Rainfall-Induced Shallow Landslide Mitigation: A Review D. Mahima et al. 10.1007/s40098-023-00836-y
- Development of a statistics-based nowcasting model for earthquake-triggered landslides in Taiwan R. Chuang et al. 10.1016/j.enggeo.2021.106177
- Selection of optimal pixel resolution for landslide susceptibility analysis within the Bukit Antarabangsa, Kuala Lumpur, by using image processing and multivariate statistical tools I. Quraishi et al. 10.1186/s13640-017-0169-2
- Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area H. Oh & B. Pradhan 10.1016/j.cageo.2010.10.012
- Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea W. Hakim et al. 10.1016/j.jenvman.2021.114367
- Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art X. Shao & C. Xu 10.1016/j.nhres.2022.03.002
- Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models V. Nourani et al. 10.1007/s11069-013-0932-3
- A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape K. Were et al. 10.1016/j.ecolind.2014.12.028
- Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria Y. Achour et al. 10.1007/s12517-017-2980-6
- Prediction of landslides using ASTER imagery and data mining models K. Song et al. 10.1016/j.asr.2011.11.035
- Settlements and slides: a large landslide case study from the Central Cordillera of the Philippines G. Hearn & J. Roy Hart 10.1144/qjegh2019-050
- Coseismic Stability Assessment of a Damaged Underground Ammunition Storage Chamber Through Ambient Vibration Recordings and Numerical Modelling F. Glueer et al. 10.3389/feart.2021.773155
- Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia A. Youssef et al. 10.1007/s10064-015-0734-9
- Landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal taluk, India, using weighted similar choice fuzzy model E. Sujatha & V. Rajamanickam 10.1007/s11069-011-9763-2
- GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant Panda Natural Reserve, China Q. Meng et al. 10.1007/s10064-015-0786-x
- Cyclic Behaviour of Uniform Sand in Drained and Undrained Conditions at Low Confining Stress in Small-Scale Landslide Model V. Jagodnik & Ž. Arbanas 10.3390/su141912797
- Downscaling Satellite Precipitation Estimates With Multiple Linear Regression, Artificial Neural Networks, and Spline Interpolation Techniques E. Sharifi et al. 10.1029/2018JD028795
- Influence of seismic acceleration on landslide susceptibility maps: a case study from NE Turkey (the Kelkit Valley) H. Das et al. 10.1007/s10346-012-0342-8
- Rainfall-induced landslide susceptibility assessment using random forest weight at basin scale C. Lai et al. 10.2166/nh.2017.044
- Hazard zonation mapping of earthquake-induced secondary effects using spatial multi-criteria analysis M. Karpouza et al. 10.1007/s11069-021-04852-0
- An integrative approach for regional landslide susceptibility assessment using weight of evidence method: a case study of Yom River Basin, Phrae Province, Northern Thailand S. Teerarungsigul et al. 10.1007/s10346-015-0659-1
- Landslide susceptibility mapping along PLUS expressways in Malaysia using probabilistic based model in GIS N. Yusof & B. Pradhan 10.1088/1755-1315/20/1/012031
- Application and comparison of logistic regression model and neural network model in earthquake-induced landslides susceptibility mapping at mountainous region, China P. Xie et al. 10.1080/19475705.2018.1451399
- Elimination of informational redundancy in the weight of evidence method: an application to landslide susceptibility assessment J. Torizin 10.1007/s00477-015-1077-6
- Landslide Susceptibility Mapping in Vertical Distribution Law of Precipitation Area: Case of the Xulong Hydropower Station Reservoir, Southwestern China C. Cao et al. 10.3390/w8070270
- A benchmark dataset and workflow for landslide susceptibility zonation M. Alvioli et al. 10.1016/j.earscirev.2024.104927
- Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system H. Oh & S. Lee 10.1007/s12665-010-0579-2
- GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey) C. Yilmaz et al. 10.1007/s12665-011-1196-4
- Landslide susceptibility analysis using probabilistic likelihood ratio model—a geospatial-based study E. Sujatha et al. 10.1007/s12517-011-0356-x
- Study on the Estimation of Forest Volume Based on Multi-Source Data T. Hu et al. 10.3390/s21237796
- Advancing Landslide Susceptibility Mapping in the Medea Region Using a Hybrid Metaheuristic ANFIS Approach F. Debiche et al. 10.3390/land13060889
- Rainfall and earthquake-induced landslide susceptibility assessment using GIS and Artificial Neural Network Y. Li et al. 10.5194/nhess-12-2719-2012
- Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea S. Lee 10.1002/esp.1517
- Failure rate analysis of jaw crusher using Weibull model R. Sinha & A. Mukhopadhyay 10.1177/0954408916636922
- Statistical analysis of the landslides triggered by the 2021 SW Chelgard earthquake (ML = 6) using an automatic linear regression (LINEAR) and artificial neural network (ANN) model based on controlling parameters A. Vanani et al. 10.1007/s11069-023-06240-2
- Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea H. Oh & S. Lee 10.1007/s12665-010-0864-0
- Assessment of co-seismic landslide susceptibility using LR and ANCOVA in Barpak region, Nepal S. Shrestha et al. 10.1007/s12040-018-0936-1
- Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea S. Lee et al. 10.1016/j.catena.2012.07.014
- Estimation of Seismic Landslide Hazard in the Eastern Himalayan Syntaxis Region of Tibetan Plateau G. DU et al. 10.1111/1755-6724.13124
- Landslide susceptibility mapping using an artificial neural network in the Gangneung area, Korea S. Lee 10.1080/01431160701264227
- Implementation of PCA multicollinearity method to landslide susceptibility assessment: the study case of Kabylia region A. Kab et al. 10.1007/s12517-023-11374-5
- Chapter 13 Landslides on São Miguel Island (Azores): susceptibility analysis and validation of rupture zones using a bivariate GIS-based statistical approach R. Marques et al. 10.1144/M44.13
- Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms M. Zare et al. 10.1007/s12517-012-0610-x
- Creating an advanced backpropagation neural network toolbox within GIS software S. Lee et al. 10.1007/s12665-014-3216-7
- Shallow-landslide susceptibility in the Costa Viola mountain ridge (southern Calabria, Italy) with considerations on the role of causal factors G. Iovine et al. 10.1007/s11069-014-1129-0
- Integrated detection and analysis of earthquake disaster information using airborne data C. Cao et al. 10.1080/19475705.2015.1020887
- Ensemble-based landslide susceptibility maps in Jinbu area, Korea M. Lee et al. 10.1007/s12665-011-1477-y
- Assessment of seismically-induced landslide susceptibility after the 2015 Gorkha earthquake, Nepal S. Shrestha & T. Kang 10.1007/s10064-017-1191-4
- PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping M. Roodposhti et al. 10.1007/s11069-012-0523-8
- A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece) C. Polykretis et al. 10.1007/s10064-014-0607-7
- Landslides susceptibility mapping in Guizhou province based on fuzzy theory W. WANG et al. 10.1016/S1674-5264(09)60075-2
- Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution B. Ganesh et al. 10.1016/j.rsase.2022.100905
Latest update: 26 Dec 2024