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Abstract: Identifying Landslide Patterns and Precipitation Thresholds Using Machine Learning: A Case Study in Oregon (AGU25)

Identifying Landslide Patterns and Precipitation Thresholds Using Machine Learning: A Case Study in Oregon

Te Pei, Stony Brook University, Department of Civil Engineering, Stony Brook, United States, Mame Diarra Diokhane, The City College of the City University of New York, Department of Civil Engineering, New York, United States, Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States and Yingli Tian, Department of Electrical Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Electrical Engineering, New York, United States
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