IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
MOP2.PI: Geospatial Intelligence for Emergency Response
Monday, 10 August, 15:00 - 16:15
Location: Poster Area I
Session Type: Poster
Track: Data and Society
Poster Area I

MOP2.PI.1: A FORECASTING METHOD FOR FOREST SURFACE DEAD FUEL MOISTURE CONTENT BASED ON LONG SHORT-TERM MEMORY NETWORK
Yi Wang, University of Electronic Science and Technology of China, China; Donyu Dorjee, Kelsang Tenzen, Pema Yangzom, Xizang Autonomous Region Climatic Center, China; Binbin He, Chunquan Fan, University of Electronic Science and Technology of China, China
Poster Area I

MOP2.PI.2: The Geography of Vehicle-Related Flood Fatalities in Nigeria (2010-2025)
Emmanuel Temi Ologunorisa, Federal University of Technology Akure, Nigeria; Omolola Ologunorisa, Old Dominion University, United States
Poster Area I

MOP2.PI.3: IMPROVING HYDROLOGICAL PREDICTION USING REMOTE SENSING AND AI TECHNIQUES FOR MORE PRECISE RIVER BASIN MANAGEMENT
Yuehlin Lu, Yongping Wei, The University of Queensland, Australia
Poster Area I

MOP2.PI.4: Unsupervised Confidence-Aware Fusion for Spatiotemporal Flood Mapping Using Multimodal Remote Sensing Data
Aniket Zope, Ushasi Chaudhuri, Shailesh Deshpande, Tata Consultancy Services, India
Poster Area I

MOP2.PI.5: Time-Series Prediction of Ground Subsidence in Xinmi City by Combining SBAS-InSAR and the STL‑Mamba Model
Hao Lian, Tao Chen, China University of Geosciences, China
Poster Area I

MOP2.PI.6: The innovative BEYOND/FloodHub real-time flood monitoring and early warning system based on modelling, multi-source EO and crowdsourced data
Alexia Tsouni, Stavroula Sigourou, Vasiliki Pagana, Themistoklis Herekakis, National Observatory of Athens, Greece; Nikos Mamasis, Demetris Koutsoyiannis, National Technical University of Athens, Greece; Charalampos (Haris) Kontoes, National Observatory of Athens, Greece
Poster Area I

MOP2.PI.7: A MAMBA-BASED MULTIMODAL NETWORK FOR MULTISCALE BLAST-INDUCED RAPID STRUCTURAL DAMAGE ASSESSMENT
Wanli Ma, Sivasakthy Selvakumaran, University of Cambridge, United Kingdom; Dain Farrimond, Adam Dennis, Samuel Rigby, University of Sheffield, United Kingdom