IGARSS 2026 || Washington, D.C. || 9

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: QUATERNION INVERSE MAPPING IN POLARIMETRIC SYNTHETIC APERTURE RADAR FOR LAND CLASSIFICATION

Hiroki Onishi, The University of Tokyo, Japan; Gunjan JOSHI, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Ryo Natsuaki, Akira Hirose, The University of Tokyo, Japan

Wed, 12 Aug, 14:00 - 14:15

WE3.R9.2: 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, China

Wed, 12 Aug, 14:15 - 14:30

WE3.R9.3: RAPID NEURAL SURROGATE MODELING OF EARTHQUAKE-INDUCED MUDSLIDES

Selma Emekci, Pioneer High School, United States; Ünal Göktaş, Texas A&M University, United States

Wed, 12 Aug, 14:30 - 14:45

WE3.R9.4: PHYSICS-CONDITIONED SYNTHESIS OF INTERNAL ICE-LAYER THICKNESS FOR INCOMPLETE LAYER TRACES

Zesheng Liu, Maryam Rahnemoonfar, Lehigh University, United States

Wed, 12 Aug, 14:45 - 15:00

WE3.R9.5: 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, United States