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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU4.O-3.1

INTEGRATING HYDROLOGIC MODELS AND EARTH OBSERVATION DATA FOR GLOBAL FLOOD FORECASTING AND ALERTING IN NEAR REAL-TIME

Margaret Glasscoe, University of Alabama in Huntsville, United States; Douglas Bausch, Pacific Disaster Center, United States; Prativa Sharma, University of Missouri Kansas City, United States; Jun Wang, Indiana University, United States; ZhiQiang Chen, Molan Zhang, University of Missouri Kansas City, United States; Guy Schumann, Remote Sensing Solutions, United States; Marlon Pierce, Indiana University, United States; Clay Woods, Kristy Tiampo, University of Colorado Boulder, United States; Ronald Eguchi, ImageCat, Inc., United States
Session:
Integrating Earth Observation and Geospatial Data and Analytics to Monitor and Assess Risk and Resilience
Track:
Invited Sessions
Presentation Time:
Tue, 13 Jul, 14:40-15:10 (UTC)
Tue, 13 Jul, 16:40-17:10 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 22:40-23:10 China Standard Time (UTC +8)
Tue, 13 Jul, 10:40-11:10 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Bandana Kar, Oak Ridge National Laboratory and ZhiQiang Chen, University of Missouri, Kansas City
Session Manager:
Dan López-Puigdollers
Presentation
Discussion
Resources
Session TU4.O-3
TU4.O-3.1: INTEGRATING HYDROLOGIC MODELS AND EARTH OBSERVATION DATA FOR GLOBAL FLOOD FORECASTING AND ALERTING IN NEAR REAL-TIME
Margaret Glasscoe, University of Alabama in Huntsville, United States; Douglas Bausch, Pacific Disaster Center, United States; Prativa Sharma, University of Missouri Kansas City, United States; Jun Wang, Indiana University, United States; ZhiQiang Chen, Molan Zhang, University of Missouri Kansas City, United States; Guy Schumann, Remote Sensing Solutions, United States; Marlon Pierce, Indiana University, United States; Clay Woods, Kristy Tiampo, University of Colorado Boulder, United States; Ronald Eguchi, ImageCat, Inc., United States
TU4.O-3.3: A machine learning approach to flood depth and extent detection using Sentinel 1A/B synthetic aperture radar
Kristy Tiampo, Clay Woods, Lingcao Huang, University of Colorado Boulder, United States; Prativa Sharma, ZhiQiang Chen, University of Missouri, United States; Bandana Kar, Oak Ridge National Laboratory, United States; Douglas Bausch, Pacific Disaster Center, United States; Conor Simmons, Rigo Estrada, Michael Willis, University of Colorado Boulder, United States; Margaret Glasscoe, NASA Jet Propulsion Laboratory, California Institute of Technology, United States
TU4.O-3.4: DEEP METRIC LEARNING FOR DAMAGE DETECTION USING BITEMPORAL SATELLITE IMAGES
Molan Zhang, ZhiQiang Chen, University of Missouri Kansas City, United States
TU4.O-3.5: SPATIOTEMPORAL TRACKING OF WIDE AREA POWER OUTAGE FROM NIGHT-TIME LIGHT IMAGERY
Bandana Kar, Jessica Bobeck, Oak Ridge National Laboratory, United States; Tamar Moss, Brandeis University, United States; David Hughes, Oak Ridge National Laboratory, United States
TU4.O-3.6: IMPLICATIONS OF A NEW NORMAL URBAN AIR QUALITY
Shobha Kondragunta, National Oceanic and Atmospheric Administration (NOAA), United States; Hai Zhang, Zigang Wei, IM Systems Group, United States

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