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International Journal of Remote Sensing Volume 33, 2012 - Issue 16
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Original Articles

Detection of landslides using web-based aerial photographs and landslide susceptibility mapping using geospatial analysis

Saro Lee Geoscience Information Centre, Korea Institute of Geoscience & Mineral Resources (KIGAM), Yuseong-gu, Daejeon, 305-350, South Korea
,
Kyo-Young Song Geological Mapping Department, Korea Institute of Geoscience & Mineral Resources (KIGAM), Yuseong-gu, Daejeon, 305-350, South Korea
,
Hyun-Joo Oh Mineral Resources Research Department, Korea Institute of Geoscience & Mineral Resources (KIGAM), Yuseong-gu, Daejeon, 305-350, South KoreaCorrespondence[email protected]
&
Jaewon Choi GIS & Spatial Information Analysis Team, National Institute for Disaster Prevention, Mapo-Gu, Seoul, 121-719, South Korea
Pages 4937-4966 | Received 30 Apr 2010, Accepted 13 Nov 2011, Published online: 13 Feb 2012

Citations (28)

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Nguyen Thanh Son, Nguyen Thi Thu Trang, Xuan Thanh Bui & Chau Thi Da. (2022) Remote sensing and GIS for urbanization and flood risk assessment in Phnom Penh, Cambodia. Geocarto International 37:22, pages 6625-6642.
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Hyun-Joo Oh, Prima Riza Kadavi, Chang-Wook Lee & Saro Lee. (2018) Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine models. Geomatics, Natural Hazards and Risk 9:1, pages 1053-1070.
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Sunmin Lee, Jeong-Cheol Kim, Hyung-Sup Jung, Moung Jin Lee & Saro Lee. (2017) Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea. Geomatics, Natural Hazards and Risk 8:2, pages 1185-1203.
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Omar F. Althuwaynee, Biswajeet Pradhan & Saro Lee. (2016) A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison. International Journal of Remote Sensing 37:5, pages 1190-1209.
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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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Inhye Park & Saro Lee. (2014) Spatial prediction of landslide susceptibility using a decision tree approach: a case study of the Pyeongchang area, Korea. International Journal of Remote Sensing 35:16, pages 6089-6112.
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Articles from other publishers (22)

Wahyu Luqmanul Hakim, Fatemeh Rezaie, Arip Syaripudin Nur, Mahdi Panahi, Khabat Khosravi, Chang-Wook Lee & Saro Lee. (2022) Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea. Journal of Environmental Management 305, pages 114367.
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Ali Shebl & Árpád Csámer. (2021) Stacked vector multi-source lithologic classification utilizing Machine Learning Algorithms: Data potentiality and dimensionality monitoring. Remote Sensing Applications: Society and Environment 24, pages 100643.
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Qiang Zou, Hu Jiang, Peng Cui, Bin Zhou, Yao Jiang, Mingyue Qin, Yanguo Liu & Cong Li. (2021) A new approach to assess landslide susceptibility based on slope failure mechanisms. CATENA 204, pages 105388.
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Xianyu Yu, Kaixiang Zhang, Yingxu Song, Weiwei Jiang & Jianguo Zhou. (2021) Study on landslide susceptibility mapping based on rock–soil characteristic factors. Scientific Reports 11:1.
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Aqil Tariq, Hong Shu, Saima Siddiqui, Muhammad Imran & Muhammad Farhan. (2021) Monitoring Land Use And Land Cover Changes Using Geospatial Techniques, A Case Study Of Fateh Jang, Attock, Pakistan. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 14:1, pages 41-52.
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Yang Li & Wei Chen. (2019) Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques. Water 12:1, pages 113.
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O. A. Bamisaiye. (2019) Landslide in parts of southwestern Nigeria. SN Applied Sciences 1:7.
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Prima Riza Kadavi, Chang-Wook Lee & Saro Lee. (2019) Landslide-susceptibility mapping in Gangwon-do, South Korea, using logistic regression and decision tree models. Environmental Earth Sciences 78:4.
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Sung-Jae Park, Chang-Wook Lee, Saro Lee & Moung-Jin Lee. (2018) Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea. Remote Sensing 10:10, pages 1545.
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Prima Kadavi, Chang-Wook Lee & Saro Lee. (2018) Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping. Remote Sensing 10:8, pages 1252.
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Hyun-Joo Oh & Saro Lee. (2017) Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree. Applied Sciences 7:10, pages 1000.
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Arsalan A. Othman & Richard Gloaguen. (2017) Integration of spectral, spatial and morphometric data into lithological mapping: A comparison of different Machine Learning Algorithms in the Kurdistan Region, NE Iraq. Journal of Asian Earth Sciences 146, pages 90-102.
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Saro Lee, Soo-Min Hong & Hyung-Sup Jung. (2017) A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea. Sustainability 9:1, pages 48.
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Hyun-Joo Oh, Saro Lee & Soo-Min Hong. (2017) Landslide Susceptibility Assessment Using Frequency Ratio Technique with Iterative Random Sampling. Journal of Sensors 2017, pages 1-21.
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Tran The Viet, Giha Lee & Minseok Kim. (2016) Shallow Landslide Assessment Considering the Influence of Vegetation Cover. Journal of the Korean Geoenvironmental Society 17:4, pages 17-31.
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Biswajeet Pradhan, Mustafa Neamah Jebur, Helmi Zulhaidi Mohd Shafri & Mahyat Shafapour Tehrany. (2016) Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing 54:3, pages 1610-1622.
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Inhye Park, Jiyeong Lee & Lee Saro. (2014) Ensemble of ground subsidence hazard maps using fuzzy logic. Open Geosciences 6:2, pages 207-218.
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Simone Frigerio, Luca Schenato, Giulia Bossi, Marco Cavalli, Matteo Mantovani, Gianluca Marcato & Alessandro Pasuto. (2014) A web-based platform for automatic and continuous landslide monitoring: The Rotolon (Eastern Italian Alps) case study. Computers & Geosciences 63, pages 96-105.
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Prabin Kayastha, Subeg Man Bijukchhen, Megh Raj Dhital & Florimond De Smedt. (2013) GIS based landslide susceptibility mapping using a fuzzy logic approach: A case study from Ghurmi-Dhad Khola area, Eastern Nepal. Journal of the Geological Society of India 82:3, pages 249-261.
Crossref
Suk Young Hong, Budiman Minasny, Kyung Hwa Han, Yihyun Kim & Kyungdo Lee. (2013) Predicting and mapping soil available water capacity in Korea. PeerJ 1, pages e71.
Crossref
S. Lee, J. Hwang & I. Park. (2013) Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea. CATENA 100, pages 15-30.
Crossref
Moung-Jin Lee, Jae-Won Choi, Hyun-Joo Oh, Joong-Sun Won, Inhye Park & Saro Lee. (2012) Ensemble-based landslide susceptibility maps in Jinbu area, Korea. Environmental Earth Sciences 67:1, pages 23-37.
Crossref

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