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
FR2.R7: Deep Learning Meets Earth Sciences: From Hybrid Modeling to Explainability
Presentation Mode
Virtual
Session Time
Fri, 02 Oct, 14:30 - 16:30 UTC
Fri, 02 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Fri, 02 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Fri, 02 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Chairs
Gustau Camps-Valls, Universitat de València and Devis Tuia, EPFL ENAC
FR2.R7.1:
ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY
Gustau Camps-Valls;
Universitat de València
Markus Reichstein;
German Aerospace Center (DLR)
Xiaoxiang Zhu;
German Aerospace Center (DLR)
Devis Tuia;
Wageningen University and Research (WUR)
FR2.R7.2:
INTERPRETABLE SCENICNESS FROM SENTINEL-2 IMAGERY
Alex Levering;
Wageningen University
Diego Marcos;
Wageningen University
Sylvain Lobry;
Wageningen University
Devis Tuia;
Wageningen University
FR2.R7.3:
TOWARDS PHYSICALLY-CONSISTENT, DATA-DRIVEN MODELS OF CONVECTION
Tom Beucler;
University of California, Irvine
Michael Pritchard;
University of California, Irvine
Pierre Gentine;
Columbia University
Stephan Rasp;
Technische Universität München
FR2.R7.5:
INTERPRETABILITY OF RECURRENT NEURAL NETWORKS IN REMOTE SENSING
Adrián Pérez-Suay;
Universitat de València
Jose E. Adsuara;
Universitat de València
Maria Piles;
Universitat de València
Laura Martínez-Ferrer;
Universitat de València
Emiliano Díaz;
Universitat de València
Álvaro Moreno-Martínez;
Universitat de València
Gustau Camps-Valls;
Universitat de València
FR2.R7.6:
MODELING MOUNTAIN SNOWPACK DYNAMICS WITH CGANS: A VALIDATION STUDY
Ashray Manepalli;
terrafuse, inc.
Mayur Mudigonda;
terrafuse, inc.
Adrian Albert;
terrafuse, inc.
FR2.R7.7:
DISCOVERING DIFFERENTIAL EQUATIONS FROM EARTH OBSERVATION DATA
Jose E. Adsuara;
Universitat de València
Adrián Pérez-Suay;
Universitat de València
Álvaro Moreno-Martínez;
Universitat de València
Gustau Camps-Valls;
Universitat de València
Guido Kraemer;
Max Planck Institute for Biogeochemistry
Markus Reichstein;
Max Planck Institute for Biogeochemistry
Miguel Mahecha;
Max Planck Institute for Biogeochemistry
FR2.R7.8:
JOINT SPATIAL AND GRAPH CONVOLUTIONAL NEURAL NETWORKS - A HYBRID MODEL FOR SPATIAL-SPECTRAL GEOSPATIAL IMAGE ANALYSIS
Farideh Foroozandeh Shahraki;
University of Houston
Saurabh Prasad;
University of Houston