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

FR2.R15: Data-Driven and Physics-Based Learning

Friday, 14 August, 11:00 - 12:15

Location: Jefferson West

Session Type: Oral

Session Co-Chairs: Jens Nieke, European Space Research and Technology Centre (ESTEC) and Corrado Chiatante,

Track: AI and Big Data

Fri, 14 Aug, 11:00 - 11:15

FR2.R15.1: RadarGaugeNet2: Gauge-Supervised Multimodal AI for Minute-to-Hour Precipitation Nowcasting

Ron Sarafian, Weizmann Institute of Science; Sagi Nathan, Hebrew University of Jerusalem; Dori Nissenbaum, Weizmann Institute of Science; Meira Barron, Hebrew University of Jerusalem; Yoav Levi, Israel Meteorological Service; Yinon Rudich, Weizmann Institute of Science

Fri, 14 Aug, 11:15 - 11:30

FR2.R15.2: PHYSICS-INFORMED MACHINE LEARNING FOR SHORT-TERM FLOOD PREDICTION

Tewodros Gebre, Jagrati Talreja, Leila Hashemi-Beni, North Carolina Agricultural and Technical State University

Fri, 14 Aug, 11:30 - 11:45

FR2.R15.3: A SPATIAL AUTOCORRELATION-BASED KERNEL REMOVAL SCHEME FOR RESOURCE-EFFICIENT PREDICTION OF REMOTELY SENSED DATA USING CNN

Monidipa Das, Indian Institute of Science Education and Research Kolkata

Fri, 14 Aug, 11:45 - 12:00

FR2.R15.4: Ship detection using ALOS PALSAR raw data without synthetic aperture

Syusuke Yasui, Fumitaka Ogushi, Yokoya Hiroshi, Kazushi Motomura, Naruo Kanemoto, Space Shift Inc.

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

FR2.R15.5: DYNAMIC TARGETING OF CONVECTIVE PRECIPITATION WITH REINFORCEMENT LEARNING

Suvan Kumar, University of Southern California; Josue Tapia, Paul Grogan, Arizona State University