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

MOP2.PB: Advanced AI Methods for Geophysical Analysis

Poster

Mon, 10 Aug, 15:00 - 16:15

Location: TBD

Session Type: Poster

Session Co-Chairs: Ronny Hänsch, DLR and Dalton Lunga, ORNL

Track: AI and Big Data

MOP2.PB.1: A SAR-ORIENTED ORDINAL LEARNING FRAMEWORK FOR SEA STATE CLASSIFICATION

Tianwen Zhang, Rui Zhu, Rong Deng, Gui Gao, Southwest Jiaotong University, China; Xiao Ke, University of Liverpool, United Kingdom; Xiaoling Zhang, University of Electronic Science and Technology of China, China

MOP2.PB.2: DEMONSTRATION OF A DEEP LEARNING MODEL FOR DOMAIN-SCALE PRECIPITATION RETRIEVAL USING GOES/ABI OBSERVATIONS

Yousef Saqer Yousef Saqer, Colorado State University, United States

MOP2.PB.3: EARTH EMBEDDINGS AS PRODUCTS: TAXONOMY, ECOSYSTEM, AND STANDARDIZED ACCESS

Heng Fang, KTH Royal Institute of Technology, Sweden; Adam J. Stewart, Technical University of Munich, Germany; Isaac Corley, Wherobots, United States; Xiao Xiang Zhu, Technical University of Munich, Germany; Hossein Azizpour, KTH Royal Institute of Technology, Sweden

MOP2.PB.4: GEOMETRIC FLOOD DEPTH ESTIMATION: FUSING TRANSFORMER-BASED SEGMENTATION WITH DIGITAL ELEVATION MODELS

Nhut Le, Ehsan Karimi, Maryam Rahnemoonfar, Lehigh University, United States

MOP2.PB.5: Towards Intelligent Crop Monitoring: Visions for Agro-Geoinformation Foundation Models

Chen Zhang, Liping Di, Eugene Yu, George Mason University, United States; Zhengwei Yang, USDA NASS, United States