IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
MOP2.PB: Advanced AI Methods for Geophysical Analysis
Monday, 10 August, 15:00 - 16:15
Location: Poster Area B
Session Type: Poster
Session Co-Chairs: Ronny Hänsch, DLR and Dalton Lunga, ORNL
Track: AI and Big Data
Poster Area B

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
Poster Area B

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
Poster Area B

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
Poster Area B

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
Poster Area B

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