MOP2.PI: Geospatial Intelligence for Emergency Response
Poster
Mon, 10 Aug, 15:00 - 16:15
Location: TBD
Session Type: Poster
Track: Data and Society
Click the to view the manuscript on IEEE Xplore Open Preview

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

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

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

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

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