EP051
Machine Learning Applications in Earth Surface Processes Research I eLightning

Monday, 14 December 2020: 10:00-11:00
Virtual
Primary Convener:  Evan B Goldstein, University of North Carolina Greensboro, Greensboro, NC, United States
Conveners:  Margaret L Palmsten, United States Geological Survey, St. Petersburg, FL, United States and Kristen Splinter, University of New South Wales, Sydney, NSW, Australia
Primary Liaison:  Evan B Goldstein, University of North Carolina at Greensboro, Geography, Environment, and Sustainability, Greensboro, NC, United States
Chairs:  Evan B Goldstein, University of North Carolina at Greensboro, Geography, Environment, and Sustainability, Greensboro, NC, United States, Margaret L Palmsten, Naval Research Laboratory, Stennis Space Center, MS, United States and Kristen Splinter, University of New South Wales, Sydney, NSW, Australia
OSPA Liaison:  Evan B Goldstein, University of North Carolina at Greensboro, Geography, Environment, and Sustainability, Greensboro, NC, United States
10:00
EP051-01
An Unsupervised Classification of Natural Rivers (664690)
Cody Kupferschmidt and Andrew D Binns, University of Guelph, Guelph, ON, Canada
10:03
EP051-02
Convolutional LSTMs for automatic mapping of spatio-temporal evolution of natural and anthropogenic features in West African Littoral (695631)
Gael Kamdem De Teyou, Université Côte d’Azur, IRD, Géoazur, Sophia Antipolis; Luxcarta, Sophia Antipolis; Legos, IRD, Toulouse, Valbonne, France, Yuliya Tarabalka, LuxCarta, Sophia Antipolis, France, Isabelle Manighetti, Université Côte d’Azur, Géoazur, Sophia Antipolis, France, Rafael Almar, Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), IRD, Toulouse, France and Guillemette Fonteix, Luxcarta, Mouans-Sartoux, France
10:06
EP051-03
Convolutional Neural Network Based Semantic Segmentation for Coastal Flooding Analysis (736501)
Byungho Kang and Orencio Duran Vinent, Texas A&M University College Station, Ocean Engineering, College Station, TX, United States
10:09
EP051-04
Convolutional Neural Networks to Improve Soil-Cover Maps by Identifying Rock Outcrops in California (747903)
Apoorva R Shastry, Universities Space Research Association Moffett Field, Moffett Field, CA, United States; USGS, Geology, Minerals, Energy and Geophysics Science Center, Moffett Field, CA, United States, Corina Cerovski-Darriau, USGS, Geology, Minerals, Energy and Geophysics Science Center, Menlo Park, CA, United States, Helen Petliak, Digamma.ai, Saratoga, CA, United States, Vadim Zaliva, Carnegie Mellon University Silicon Valley, Moffett Field, CA, United States and Jonathan D Stock, US Geological Survey, Menlo Park, CA, United States
10:12
EP051-05
Detection of construction objects using time series of Sentinel-2 data and neural networks (734187)
Yiming Zhang and Sergii Skakun, University of Maryland College Park, College Park, MD, United States
10:15
EP051-06
Development and Application of New Stream Geomorphic Stability Assessment Procedure in Urbanizing Watersheds Using Advanced Machine Learning (759157)
Kevin MacKenzie1, Luke Foster2, Bahram Gharabaghi2 and Andrew D. Binns2, (1)University of Guelph, Guelph, ON, Canada, (2)University of Guelph, School of Engineering, Guelph, ON, Canada
10:18
EP051-07
Development of a neural network model to estimate the maximum elevation of storm surge in coastal Virginia (702123)
Jun-Whan Lee, Virginia Tech, Blacksburg, VA, United States, Jennifer L Irish, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States and Doug Marcy, NOAA, Office for Coastal Managment, Charleston, SC, United States
10:21
EP051-08
Machine learning for source identification of dust on the Chinese Loess Plateau (678423)
Xin Lin, Chang'an University, Xi'an, China, Hong Chang, IEE Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China and Kaibo Wang, Institute of Earth Environment, Xi'an, China
10:24
EP051-09
Nearshore Bathymetric Inversion and Uncertainty Estimation from Synthetic Imagery using a 2D Fully Convolutional Neural Network (744063)
Adam Collins1, Katherine L Brodie1, Spicer Bak2, Ty Hesser3 and Matthew Farthing4, (1)U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Field Research Facility, Duck, NC, United States, (2)U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Duck, NC, United States, (3)U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, (4)US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States
10:27
EP051-10
Next-generation tool for digitizing wave runup (757086)
Margaret Palmsten, USGS Coastal and Marine Science Center St. Petersburg, St Petersburg, FL, United States, Justin J Birchler, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, Saint Petersburg, FL, United States, Jenna A Brown, Monterey Bay Association, Monterey, CA, United States, Shawn R Harrison, U.S. Naval Research Laboratory, Stennis Space Center, MS, United States, Christopher R Sherwood, Organization Not Listed, Washington, DC, United States and Li H Erikson, USGS, Santa Cruz, CA, United States
10:30
EP051-11
Suggesting a Deep Learning-based Point Cloud Segmentation Framework to Classify Ground and Above-Ground Targets in a 3D Point Cloud acquired by a Full-waveform Terrestrial Laser Scanner over a Coastal wetland (764893)
Mohammad Pashaei, Texas A&M University Corpus Christi, Corpus Christi, TX, United States and Michael J Starek, Texas A&M University at Corpus Christi, Corpus Christi, TX, United States
10:33
Discussion
See more of: Earth and Planetary Surface Processes
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