NH012
Data Science and Machine Learning for Natural Hazard Sciences I

Tuesday, 8 December 2020: 10:30-11:30
Virtual
Primary Convener:  Hui Tang, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 4.7 Earth Surface Process Modelling, Potsdam, Germany
Conveners:  Eileen Rose Martin, Virginia Polytechnic Institute and State University, Department of Mathematics & CMDA Division, Blacksburg, VA, United States, Robert Weiss, Virginia Tech, Blacksburg, VA, United States and Lin Ji, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Primary Liaison:  Hui Tang, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 4.7 Earth Surface Process Modelling, Potsdam, Germany
Chairs:  Hui Tang, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 4.7 Earth Surface Process Modelling, Potsdam, Germany and Eileen Rose Martin, Stanford University, Stanford, CA, United States
OSPA Liaison:  Robert Weiss, Virginia Tech, Blacksburg, VA, United States
10:30
Introductory Remarks
10:34
NH012-01
Earthquake Monitoring in Artificial Intelligence Era (675819)
S. Mostafa Mousavi, Stanford University, Department of Geophysics, Stanford, CA, United States
10:41
NH012-02
Machine learning model of the plasmasphere to forecast satellite charging caused by solar storms (697414)
Stefano Bianco1, Irina Zhelavskaya1 and Yuri Shprits2, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, (2)GFZ German Research Centre for Geosciences, Potsdam, Germany
10:48
NH012-03
Hybrid modeling of wind waves in estuary based on machine learning and SWAN (701942)
Nan Wang and Jim Chen, Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States
10:55
NH012-04
Quick detection of subsoil liquefaction using accelerograms (702642)
Weiwei Zhan and Qiushi Chen, Clemson University, Glenn Department of Civil Engineering, Clemson, SC, United States
11:02
NH012-05
Establishing a database for volcanic eruptions and landslides using ArcticDEM (726995)
Chunli Dai1, Ian Howat1, Jeffrey Todd Freymueller2, Anna K Liljedahl3, Melissa Karine Ward Jones3 and Bretwood M Higman4, (1)Ohio State University, Byrd Polar & Climate Research Center, Columbus, OH, United States, (2)Michigan State University, Earth and Environmental Sciences, East Lansing, MI, United States, (3)Woods Hole Research Center, Falmouth, MA, United States, (4)Ground Truth Trekking, Seldovia, AK, United States
11:09
NH012-06
Automated storm damage severity mapping from satellite imagery using image segmentation and machine learning (745670)
Sarah Wegmueller, University of Wisconsin Madison, Madison, WI, United States and Philip A Townsend, University of Wisconsin, Department of Forest and Wildlife Ecology, Madison, WI, United States
11:16
NH012-07
Urban flood susceptibility mapping using supervised regression and machine learning models in Toronto, Canada (750141)
Baljeet Kaur, Zane Szentimrey, Andrew D. Binns, Edward A McBean and Bahram Gharabaghi, University of Guelph, School of Engineering, Guelph, ON, Canada
11:23
NH012-08
Comparison of Machine Learning Algorithms to Predict the Occurrence of Forest Fires (772846)
Tejas Sathyamurthi, Northeastern University, Computer Science, Boston, MA, United States
See more of: Natural Hazards
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