IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
WE3.R9: Physics-Informed Machine Learning in Remote Sensing (3/4)
Wednesday, 12 August, 13:45 - 15:00
Location: Fairchild
Session Type: Oral
Session Co-Chairs: Davide De Santis, and Grigorios Tsagkatakis,
Track: Community Contributed Themes
Wed, 12 Aug, 13:45 - 14:00

WE3.R9.1: RAPID NEURAL SURROGATE MODELING OF EARTHQUAKE-INDUCED MUDSLIDES
Selma Emekci, Pioneer High School; Ünal Göktaş, Texas A&M University
Wed, 12 Aug, 14:00 - 14:15

WE3.R9.2: PHYSICS-CONDITIONED SYNTHESIS OF INTERNAL ICE-LAYER THICKNESS FOR INCOMPLETE LAYER TRACES
Zesheng Liu, Maryam Rahnemoonfar, Lehigh University
Wed, 12 Aug, 14:15 - 14:30

WE3.R9.3: PHYSICS-GUIDED SPATIOTEMPORAL NEURAL MODELS FOR FUEL DENSITY PREDICTION
Tolga Caglar, Jaynil Jaiswal, Saqib Azim, Yudhir Gala, Mai Nguyen, Ilkay Altintas, University of California, San Diego
Wed, 12 Aug, 14:30 - 14:45

WE3.R9.4: QUATERNION INVERSE MAPPING IN POLARIMETRIC SYNTHETIC APERTURE RADAR FOR LAND CLASSIFICATION
Hiroki Onishi, The University of Tokyo; Gunjan Joshi, Helmholtz-Zentrum Dresden-Rossendorf; Ryo Natsuaki, Akira Hirose, The University of Tokyo
Wed, 12 Aug, 14:45 - 15:00

WE3.R9.5: 30m-Resolution Leaf Area Index Retrieval by Coupling Physical Model and Spatiotemporal Deep Learning
Dechao Zhai, Naijie Peng, Qunchao He, Zhicheng Huang, Huazhong Ren, Wenjie Fan, Peking University