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Original Articles

Landslide susceptibility mapping using an artificial neural network in the Gangneung area, Korea

Pages 4763-4783 | Received 23 Sep 2005, Accepted 09 Jan 2007, Published online: 11 Aug 2010

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (6)

Ho Gul Kim & Chae Yeon Park. (2021) Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea. Geomatics, Natural Hazards and Risk 12:1, pages 2328-2351.
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Tal Ben-Zvi. (2018) Learning automata decision analysis for sensor placement. Journal of the Operational Research Society 69:9, pages 1396-1405.
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Joaquín Andrés Valencia Ortiz & Antonio Miguel Martínez-Graña. (2018) A neural network model applied to landslide susceptibility analysis (Capitanejo, Colombia). Geomatics, Natural Hazards and Risk 9:1, pages 1106-1128.
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Junyi Huang, Qiming Zhou & Fenglong Wang. (2015) Mapping the landslide susceptibility in Lantau Island, Hong Kong, by frequency ratio and logistic regression model. Annals of GIS 21:3, pages 191-208.
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Saro Lee, Kyo-Young Song, Hyun-Joo Oh & Jaewon Choi. (2012) Detection of landslides using web-based aerial photographs and landslide susceptibility mapping using geospatial analysis. International Journal of Remote Sensing 33:16, pages 4937-4966.
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Hyun-Joo Oh, No-Wook Park, Sung-Soon Lee & Saro Lee. (2012) Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping. International Journal of Remote Sensing 33:10, pages 3211-3231.
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Articles from other publishers (34)

Sreelakshmi S.Vinod Chandra S. S.E. Shaji. (2022) Landslide identification using machine learning techniques: Review, motivation, and future prospects. Earth Science Informatics 15:4, pages 2063-2090.
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B. G. Babitha, Jean Homian Danumah, G. S. Pradeep, Romulus Costache, Nilanchal Patel, Megha K. Prasad, A. Rajaneesh, Pratheesh C. Mammen, R. S. Ajin & Sekhar L. Kuriakose. (2022) A framework employing the AHP and FR methods to assess the landslide susceptibility of the Western Ghats region in Kollam district. Safety in Extreme Environments 4:2, pages 171-191.
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W A A Manan, A S A Rashid, M Z A Abdul Rahman & M F A Khanan. (2022) Assessment on Recent Landslide Susceptibility Mapping Methods: A Review. IOP Conference Series: Earth and Environmental Science 971:1, pages 012032.
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Anjana V. Thomas, Sunil Saha, Jean Homian Danumah, S. Raveendran, Megha K. Prasad, R. S. Ajin & Sekhar L. Kuriakose. (2021) Landslide Susceptibility Zonation of Idukki District Using GIS in the Aftermath of 2018 Kerala Floods and Landslides: a Comparison of AHP and Frequency Ratio Methods. Journal of Geovisualization and Spatial Analysis 5:2.
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Rachida Senouci, Nasr-Eddine Taibi, Ana Cláudia Teodoro, Lia Duarte, Hamidi Mansour & Rabia Yahia Meddah. (2021) GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria. Sustainability 13:2, pages 630.
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Bipin Peethambaran, R. Anbalagan, D.P. Kanungo, Ajanta Goswami & K.V. Shihabudheen. (2020) A comparative evaluation of supervised machine learning algorithms for township level landslide susceptibility zonation in parts of Indian Himalayas. CATENA 195, pages 104751.
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Gioacchino Francesco Andriani & Lidia Loiotine. (2020) Multidisciplinary approach for assessment of the factors affecting geohazard in karst valley: the case study of Gravina di Petruscio (Apulia, South Italy). Environmental Earth Sciences 79:19.
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Azam Kadirhodjaev, Fatemeh Rezaie, Moung-Jin Lee & Saro Lee. (2020) Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model. ISPRS International Journal of Geo-Information 9:10, pages 566.
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Deuk-Hwan Lee, Yun-Tae Kim & Seung-Rae Lee. (2020) Shallow Landslide Susceptibility Models Based on Artificial Neural Networks Considering the Factor Selection Method and Various Non-Linear Activation Functions. Remote Sensing 12:7, pages 1194.
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Ting Xiao, Kunlong Yin, Tianlu Yao & Shuhao Liu. (2019) Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County, Three Gorges Reservoir, China. Acta Geochimica 38:5, pages 654-669.
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Bipin Peethambaran, R. Anbalagan, K. V. Shihabudheen & Ajanta Goswami. (2019) Robustness evaluation of fuzzy expert system and extreme learning machine for geographic information system-based landslide susceptibility zonation: A case study from Indian Himalaya. Environmental Earth Sciences 78:6.
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Paola Reichenbach, Mauro Rossi, Bruce D. Malamud, Monika Mihir & Fausto Guzzetti. (2018) A review of statistically-based landslide susceptibility models. Earth-Science Reviews 180, pages 60-91.
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Wei Luo & Cheng-Chien Liu. (2017) Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods. Landslides 15:3, pages 465-474.
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Ataollah Shirzadi, Himan Shahabi, Kamran Chapi, Dieu Tien Bui, Binh Thai Pham, Kaka Shahedi & Baharin Bin Ahmad. (2017) A comparative study between popular statistical and machine learning methods for simulating volume of landslides. CATENA 157, pages 213-226.
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Roland Ngwatung Afungang, Carlos Valdir de Meneses Bateira & Clement Anguh Nkwemoh. (2017) Assessing the spatial probability of landslides using GIS and informative value model in the Bamenda highlands. Arabian Journal of Geosciences 10:17.
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Patricia Varela GonzálezZenon Medina-Cetina. (2017) Risk Assessment for Landslides Using Bayesian Networks and Remote Sensing Data. Risk Assessment for Landslides Using Bayesian Networks and Remote Sensing Data.
Jian ChenYan LiWendy ZhouJaved IqbalZhijiu Cui. (2017) Debris-Flow Susceptibility Assessment Model and Its Application in Semiarid Mountainous Areas of the Southeastern Tibetan Plateau. Natural Hazards Review 18:2.
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Ismail Colkesen, Emrehan Kutlug Sahin & Taskin Kavzoglu. (2016) Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression. Journal of African Earth Sciences 118, pages 53-64.
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Ying Liu & Linzhi Wu. (2016) Geological Disaster Recognition on Optical Remote Sensing Images Using Deep Learning. Procedia Computer Science 91, pages 566-575.
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Hamid Bourenane, Youcef Bouhadad, Mohamed Said Guettouche & Massinissa Braham. (2014) GIS-based landslide susceptibility zonation using bivariate statistical and expert approaches in the city of Constantine (Northeast Algeria). Bulletin of Engineering Geology and the Environment 74:2, pages 337-355.
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No-Wook Park. (2014) Using maximum entropy modeling for landslide susceptibility mapping with multiple geoenvironmental data sets. Environmental Earth Sciences 73:3, pages 937-949.
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Saro Lee. (2013) Landslide detection and susceptibility mapping in the Sagimakri area, Korea using KOMPSAT-1 and weight of evidence technique. Environmental Earth Sciences 70:7, pages 3197-3215.
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J. Hjort & M. Luoto. 2013. Treatise on Geomorphology. Treatise on Geomorphology 59 73 .
Krishna Chandra Devkota, Amar Deep Regmi, Hamid Reza Pourghasemi, Kohki Yoshida, Biswajeet Pradhan, In Chang Ryu, Megh Raj Dhital & Omar F. Althuwaynee. (2012) 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. Natural Hazards 65:1, pages 135-165.
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Dieu Tien Bui, Biswajeet Pradhan, Owe Lofman, Inge Revhaug & Oystein B. Dick. (2012) Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks. Geomorphology 171-172, pages 12-29.
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Dieu Tien Bui, Biswajeet Pradhan, Owe Lofman, Inge Revhaug & Oystein B. Dick. (2012) Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. CATENA 96, pages 28-40.
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Dieu Tien Bui, Biswajeet Pradhan, Owe Lofman, Inge Revhaug & Oystein B. Dick. (2012) Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Computers & Geosciences 45, pages 199-211.
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Dieu Tien Bui, Biswajeet Pradhan, Owe Lofman & Inge Revhaug. (2012) Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models. Mathematical Problems in Engineering 2012, pages 1-26.
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SALVATORE RAMPONE & ALESSIO VALENTE. (2012) NEURAL NETWORK AIDED EVALUATION OF LANDSLIDE SUSCEPTIBILITY IN SOUTHERN ITALY. International Journal of Modern Physics C 23:01, pages 1250002.
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Xianmin Wang & Ruiqing Niu. (2011) Landslide Susceptibility Analysis Based on Data Field. Journal of Software 6:1.
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No-Wook Park. (2010) Application of Dempster-Shafer theory of evidence to GIS-based landslide susceptibility analysis. Environmental Earth Sciences 62:2, pages 367-376.
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Hitoshi Saito, Daichi Nakayama & Hiroshi Matsuyama. (2009) Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan. Geomorphology 109:3-4, pages 108-121.
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Ryan R. Jensen, Perry J. Hardin & Genong Yu. (2009) Artificial Neural Networks and Remote Sensing. Geography Compass 3:2, pages 630-646.
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