Citations (23)
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Alexandro Medeiros Silva, Richarde Marques da Silva, Celso Augusto Guimarães Santos, Franklin Mendonça Linhares & Ana Paula Campos Xavier. (2022) Modeling the effects of future climate and land-use changes on streamflow in a headwater basin in the Brazilian Caatinga biome. Geocarto International 37:26, pages 12436-12465.
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Jeong-Cheol Kim, Sunmin Lee, Hyung-Sup Jung & Saro Lee. (2018) Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea. Geocarto International 33:9, pages 1000-1015.
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RoŞca Sanda, BilaŞco Ştefan, Petrea DĂnuŢ, Vescan Iuliu & Fodorean Ioan. (2016) Comparative assessment of landslide susceptibility. Case study: the Niraj river basin (Transylvania depression, Romania). Geomatics, Natural Hazards and Risk 7:3, pages 1043-1064.
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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 (19)
Yulin Chen, Enze Chen, Jun Zhang, Jingxuan Zhu, Yuanyuan Xiao & Qiang Dai. (2023) Investigation of Model Uncertainty in Rainfall-Induced Landslide Prediction under Changing Climate Conditions. Land 12:9, pages 1732.
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Ankit Tyagi, Reet Kamal Tiwari & Naveen James. (2023) Prediction of the future landslide susceptibility scenario based on LULC and climate projections. Landslides 20:9, pages 1837-1852.
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Lamek Nahayo, Cui Peng, Yu Lei & Rongzhi Tan. (2023) Spatial understanding of historical and future landslide variation in Africa. Natural Hazards.
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Zemin Gao & Mingtao Ding. (2022) Application of convolutional neural network fused with machine learning modeling framework for geospatial comparative analysis of landslide susceptibility. Natural Hazards 113:2, pages 833-858.
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Ankit Tyagi, Reet Kamal Tiwari & Naveen James. (2022) A review on spatial, temporal and magnitude prediction of landslide hazard. Journal of Asian Earth Sciences: X 7, pages 100099.
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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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Jesudasan Jacinth Jennifer, Subbarayan Saravanan & Devanantham Abijith. (2021) Application of Frequency Ratio and Logistic Regression Model in the Assessment of Landslide Susceptibility Mapping for Nilgiris District, Tamilnadu, India. Indian Geotechnical Journal 51:4, pages 773-787.
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Ju Han, Arip Nur, Mutiara Syifa, Minsu Ha, Chang-Wook Lee & Ki-Young Lee. (2021) Improvement of Earthquake Risk Awareness and Seismic Literacy of Korean Citizens through Earthquake Vulnerability Map from the 2017 Pohang Earthquake, South Korea. Remote Sensing 13:7, pages 1365.
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Muhammad Fulki Fadhillah, Saro Lee, Chang-Wook Lee & Yu-Chul Park. (2021) Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea. Remote Sensing 13:6, pages 1196.
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Séverine Bernardie, Rosalie Vandromme, Yannick Thiery, Thomas Houet, Marine Grémont, Florian Masson, Gilles Grandjean & Isabelle Bouroullec. (2021) Modelling landslide hazards under global changes: the case of a Pyrenean valley. Natural Hazards and Earth System Sciences 21:1, pages 147-169.
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Edier Vicente Aristizábal Giraldo, Edwin García Aristizábal, Roberto Marín Sánchez, Federico Gómez Cardona & Juan Carlos Guzmán Martínez. (2020) Rainfall-intensity effect on landslide hazard assessment due to climate change in north-western Colombian Andes. Revista Facultad de Ingeniería Universidad de Antioquia.
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Leulalem Shano, Tarun Kumar Raghuvanshi & Matebie Meten. (2020) Landslide susceptibility evaluation and hazard zonation techniques – a review. Geoenvironmental Disasters 7:1.
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Jeong-Cheol Kim, Hyung-Sup Jung & Saro Lee. (2018) Groundwater productivity potential mapping using frequency ratio and evidential belief function and artificial neural network models: focus on topographic factors. Journal of Hydroinformatics 20:6, pages 1436-1451.
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Sunmin Lee, Moung-Jin Lee & Saro Lee. (2018) Spatial prediction of urban landslide susceptibility based on topographic factors using boosted trees. Environmental Earth Sciences 77:18.
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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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Sunmin Lee, Saro Lee, Moung-Jin Lee & Hyung-Sup Jung. (2018) Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools. Sustainability 10:3, pages 648.
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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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Stefano Luigi Gariano & Fausto Guzzetti. (2016) Landslides in a changing climate. Earth-Science Reviews 162, pages 227-252.
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Roşca Sanda, Bilaşco Ştefan, Petrea Dănuţ, Fodorean Ioan, Vescan Iuliu & Filip Sorin. (2015) Application of landslide hazard scenarios at annual scale in the Niraj River basin (Transylvania Depression, Romania). Natural Hazards 77:3, pages 1573-1592.
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