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

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, United States

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, India