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Informationen zum Autor Vorawit Meesuk is a PhD candidate in hydroinformatics for urban flood modelling at UNESCO-IHE and TU-Delft! the Netherlands. He holds a background MSc degree in Remote Sensing and GIS technologies (2003) from Khon Kaen University! Thailand. His PhD research focuses on the topic of applying computer vision and photogrammetry techniques to create better topographical data by merging different sources and difference viewpoints to enhance 2D flood simulation for complex urban cities. Besides doing research! he organised the Ayutthaya workshop in a joint effort with ADB! UNESCO-BANGKOK! in 2014. He also guided MSc students and gave GIS and coupled 1D-2D modelling lectures at UNESCO-IHE. Currently! he works at (HAII/MOST) as a Head of Observation and Telemetry Section! whose responsibilities are to provide and maintain telemetry systems for monitoring weather conditions and water-level changes in over 700 stations in Thailand and neighbouring countries. Zusammenfassung This research explores the benefits of merging side-view Structure-from-Motion data with conventional top-view LiDAR data to create a novel multi-source views (MSV) topographic description of complex urban topographies. Inhaltsverzeichnis 1 Introduction 2 State of the art in urban flood modelling 3 Conventional top-view LiDAR topographic data 4 Introducing new side-view SfM topographic data 5 A novel approach for merging multi-views topographic data 6 Applying multi-source views DEM to enhance 2D urban flood simulation: a case study of Kuala Lumpur, Malaysia 7 Extracting inundation patterns from flood watermarks: a case study of Ayutthaya, Thailand 8 Recommendations for developing flood-protection measures: a case study of Ayutthaya, Thailand 9 Outlook of multi-view surveys for urban flood simulation enhancements 10 Conclusions and recommendations
