S
Sunmin Lee
Researcher at Seoul National University
Publications - 21
Citations - 783
Sunmin Lee is an academic researcher from Seoul National University. The author has contributed to research in topics: Landslide & Geographic information system. The author has an hindex of 9, co-authored 21 publications receiving 408 citations.
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Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
TL;DR: In this article, the authors created flood-susceptibility maps for the Seoul metropolitan area, for which random-forest and boosted-tree models are used in a geographic information system (GIS) environment.
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Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea
TL;DR: In this article, landslide susceptibility maps were constructed in the Pyeong-Chang area, Korea, using the Random Forest and Boosted Tree models, where landslide locations were randomly selected in a 50/50 ratio for training and validation of the models.
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Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques
TL;DR: The machine learning techniques used in this study showed effective modeling of groundwater potential in areas where data are relatively scarce, and may be used for sustainable development of groundwater resources by identifying areas of high groundwater potential.
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Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools
TL;DR: Using geographic information system (GIS) tools and data-mining models, the authors analyzed the relationships between flood areas and correlated hydrological factors to map the regional flood susceptibility of the Seoul metropolitan area in South Korea.
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Landslide susceptibility mapping using Naïve Bayes and Bayesian network models in Umyeonsan, Korea
TL;DR: The results of this study provide a useful foundation for effective strategies to prevent and manage landslides in urban areas.