IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
MO4.R6: Advanced Satellite Remote Sensing and AI-driven Strategies for Multi-hazard Monitoring and Risk Prediction
Oral
Mon, 10 Aug, 16:15 - 17:30
Location: TBD
Session Type: Oral
Track: Community Contributed Themes
Click the to view the manuscript on IEEE Xplore Open Preview
Mon, 10 Aug, 16:15 - 16:30

MO4.R6.1: An Agentic AI-based Platform for multi-hazard ground motion monitoring
Gianmarco Pantozzi, Federica Topazio, Aldo Nasti, Francesco Valente, e-GEOS Spa, Italy
Mon, 10 Aug, 16:30 - 16:45

MO4.R6.2: CLASSIFYING INSAR DISPLACEMENT TRENDS USING SPATIOTEMPORAL GRAPH NEURAL NETWORKS
Regula Frauenfelder, Gard Pavel Høivang, Malte Vöge, Ole Kristian Rustebakke, Nellie Sofie Body, Norwegian Geotechnical Institute, Norway
Mon, 10 Aug, 16:45 - 17:00

MO4.R6.3: Advantages of satellite-borne L-band InSAR for subsidence monitoring in a humid temperate region with heterogeneous land cover
Hiroki HASHIMOTO, Takashi SHIBAYAMA, Jun SUGIMOTO, PASCO CORPORATION, Japan
Mon, 10 Aug, 17:00 - 17:15

MO4.R6.4: REFINEMENT OF HIGH-RISK AREA ESTIMATION IN LANDSLIDE SUSCEPTIBILITY ASSESSMENT BASED ON POSITIVE-UNLABELED LEARNING
Kosuke Kinoshita, Yukihiro Yano, Takahiro Kumura, NEC Corporation, Japan
Mon, 10 Aug, 17:15 - 17:30

MO4.R6.5: ASSESSING THE GENERALIZATION ABILITY OF ADF-NET FOR BUILDING CHANGE DETECTION
Qing ZHAO, Weiwei Fang, Taotao Zheng, East China Normal University, China; Pietro Mastro, IREA, National Research Council of Italy, China