FR2.R7.7

DISCOVERING DIFFERENTIAL EQUATIONS FROM EARTH OBSERVATION DATA

Jose E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Universitat de València, Spain; Guido Kraemer, Markus Reichstein, Miguel Mahecha, Max Planck Institute for Biogeochemistry, Germany

Session:
Deep Learning Meets Earth Sciences: From Hybrid Modeling to Explainability

Track:
Invited Sessions

Presentation Time:
Fri, 2 Oct, 15:40-15:50 (UTC)
Fri, 2 Oct, 23:40-23:50 China Standard Time (UTC +8)
Fri, 2 Oct, 17:40-17:50 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 08:40-08:50 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Gustau Camps-Valls, Universitat de València and Devis Tuia, EPFL ENAC
Session Managers:
John Agbo Ogbodo and Anupama Rajkumar

Presentation

Discussion

Resources

Session

FR2.R7.1: ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY
Gustau Camps-Valls, Universitat de València, Spain; Markus Reichstein, Xiaoxiang Zhu, German Aerospace Center (DLR), Germany; Devis Tuia, Wageningen University and Research (WUR), Netherlands
FR2.R7.2: INTERPRETABLE SCENICNESS FROM SENTINEL-2 IMAGERY
Alex Levering, Diego Marcos, Sylvain Lobry, Devis Tuia, Wageningen University, Netherlands
FR2.R7.3: TOWARDS PHYSICALLY-CONSISTENT, DATA-DRIVEN MODELS OF CONVECTION
Tom Beucler, Michael Pritchard, University of California, Irvine, United States; Pierre Gentine, Columbia University, United States; Stephan Rasp, Technische Universität München, Germany
FR2.R7.5: Interpretability of Recurrent Neural Networks in Remote Sensing
Adrián Pérez-Suay, Jose E. Adsuara, Maria Piles, Laura Martínez-Ferrer, Emiliano Díaz, Álvaro Moreno-Martínez, Gustau Camps-Valls, Universitat de València, Spain
FR2.R7.6: MODELING MOUNTAIN SNOWPACK DYNAMICS WITH CGANS: A VALIDATION STUDY
Ashray Manepalli, Mayur Mudigonda, Adrian Albert, terrafuse, inc., United States
FR2.R7.7: DISCOVERING DIFFERENTIAL EQUATIONS FROM EARTH OBSERVATION DATA
Jose E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Universitat de València, Spain; Guido Kraemer, Markus Reichstein, Miguel Mahecha, Max Planck Institute for Biogeochemistry, Germany
FR2.R7.8: JOINT SPATIAL AND GRAPH CONVOLUTIONAL NEURAL NETWORKS - A HYBRID MODEL FOR SPATIAL-SPECTRAL GEOSPATIAL IMAGE ANALYSIS
Farideh Foroozandeh Shahraki, Saurabh Prasad, University of Houston, United States