IEEE IGARSS 2020
COVID-19
General
Home
Call for Papers
Organizing Committee
Contacts
About GRSS
Privacy and Non-Discrimination
Program
User Dashboard
Technical Program
Daily Trivia Quiz
Discussion Forum
Tutorials
TIE Events
Summer School
Invited Session Proposals
Tutorial Proposals
For Authors
Important Dates
Virtual Symposiun: Frequently Asked Questions
Video Preparation Instructions
Paper Submission
Student Paper Competition
Student Travel Support
Registration
Exhibits & Sponsors
Sponsors
Sponsorship Opportunities
Honorary Exhibitors
Travel & Venue
Conference Hotels
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
Login
Paper Search
My Schedule
Paper Index
Help
My IGARSS 2020 Schedule
Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
Create a login based on your email (takes less than one minute)
Perform 'Paper Search'
Select papers that you desire to save in your personalized schedule
Click on 'My Schedule' to see the current list of selected papers
Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Session Detail
Session Title
TH2.R2: Analytic Center Frameworks for Monitoring and Assessing Disasters at Diverse Spatiotemporal Scales
Presentation Mode
Virtual
Session Time
Thu, 01 Oct, 14:30 - 16:30 UTC
Thu, 01 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Thu, 01 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Thu, 01 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Chairs
Ian Brosnan, NASA Ames Research Center and Ben Smith, NASA Jet Propulsion Laboratory
TH2.R2.1:
THE QUAKES ANALYTIC CENTER FRAMEWORK FOR ADDRESSING DIVERSE SPATIOTEMPORAL SCALES OF TECTONIC AND EARTHQUAKE PROCESSES
Andrea Donnellan;
NASA Jet Propulsion Laboratory, California Institute of Technology
Jay Parker;
NASA Jet Propulsion Laboratory, California Institute of Technology
Robert Granat;
NASA Jet Propulsion Laboratory, California Institute of Technology
Margaret Glasscoe;
NASA Jet Propulsion Laboratory, California Institute of Technology
Brian Hawkins;
NASA Jet Propulsion Laboratory, California Institute of Technology
John Rundle;
University of California, Davis
Lisa Grant Ludwig;
University of California, Irvine
Marlon Pierce;
Indiana University
Jun Wang;
Indiana University
TH2.R2.2:
GEODETIC DATA ASSIMILATION FOR EVALUATING VOLCANIC UNREST
Patricia M. Gregg;
University of Illinois at Urbana-Champaign
John A. Albright;
University of Illinois at Urbana-Champaign
Yan Zhan;
University of Illinois at Urbana-Champaign
J. Cory Pettijohn;
University of Illinois at Urbana-Champaign
TH2.R2.3:
DISTINGUISHING INFLATION DRIVERS AT SHALLOW MAGMATIC SYSTEMS USING ENSEMBLE-BASED DATA ASSIMILATION
John Albright;
University of Illinois at Urbana-Champaign
Patricia Gregg;
University of Illinois at Urbana-Champaign
TH2.R2.5:
ESTIMATION OF FUEL MOISTURE CONTENT BY INTEGRATING SURFACE AND SATELLITE OBSERVATIONS USING MACHINE LEARNING
Branko Kosovic;
National Center for Atmospheric Research
Pedro Jimenez;
National Center for Atmospheric Research
Tyler McCandless;
National Center for Atmospheric Research
Bill Petzke;
National Center for Atmospheric Research
Steven Massie;
University of Colorado
Amanda Siems-Anderson;
National Center for Atmospheric Research
Amy DeCastro;
National Center for Atmospheric Research
Domingo Munoz-Esparza;
National Center for Atmospheric Research
Sue Ellen Haupt;
National Center for Atmospheric Research
TH2.R2.6:
SUPPORTING AQUACULTURE IN THE CHESAPEAKE BAY USING ARTIFICIAL INTELLIGENCE TO DETECT POOR WATER QUALITY WITH REMOTE SENSING
Stephanie Schollaert Uz;
NASA Goddard Space Flight Center
Troy Ames;
NASA Goddard Space Flight Center
Nargess Memarsadeghi;
NASA Goddard Space Flight Center
Shannon McDonnell;
University of Maryland
Neil Blough;
University of Maryland
Amita Mehta;
NASA GFSC/UMBC
John McKay;
Maryland Department of the Environment
TH2.R2.7:
NASA NEMO-NET – A NEURAL MULTIMODAL OBSERVATION & TRAINING NETWORK FOR MARINE ECOSYSTEM MAPPING AT DIVERSE SPATIOTEMPORAL SCALES
Ved Chirayath;
NASA Ames Research Center
Alan Li;
NASA Ames Research Center
Juan Torres-Perez;
NASA Ames Research Center
Michal Segal-Rozenhaimer;
NASA Ames Research Center
Jarrett van den Bergh;
NASA Ames Research Center
TH2.R2.8:
COMMUNITY REORGANIZATION RESPONSE TO CLIMATE CHANGE: SPECIES INTERACTIONS, STATE-SPACE MODELING AND FOOD WEBS
Jennifer J. Swenson;
Duke University
Tong Qiu;
Duke University
Amanda M. Schwantes;
Duke University
Christopher Kilner;
Duke University
Chase Nunez;
Universität Leipzig
Lane Scher;
Duke University
Shubham Sharma;
Duke University
James S. Clark;
Duke University