Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

1 Introduction
1.1 Urban flooding
1.2 Topographic input data for urban flood modelling
1.3 Objectives and research questions
1.4 Dissertation outline

2 State of the art in urban flood modelling
2.1 Approaches to urban flood modelling
2.2 1D flood modelling
2.3 Quasi 2D approaches from 1D models
2.4 2D flood modelling
2.5 Coupled 1D-2D modelling
2.6 Comparisons of simulated results
2.7 Issues concerning complex-urban flood modelling

3 Conventional top-view LiDAR topographic data
3.1 Evolution in topographic data acquisition
3.2 Top-view LiDAR data acquisition
3.3 Raw LiDAR data processing and registration
3.4 Top-view LiDAR data simplification
3.5 Issues concerning top-view LiDAR data

4 Introducing new side-view SfM topographic data
4.1 Land surveying approaches
4.2 Side-view SfM data acquisition
4.3 Raw SfM data processing and registration
4.4 Side-view SfM data simplification
4.5 Issue concerning the side-view SfM data

5 A novel approach for merging multi-views topographic data
5.1 Multi-view enhancements
5.2 Effect of grid size
5.3 Considerations for raster-based topographic data
5.4 Selection of case study areas

6 Applying multi-source views DEM to the case study of Kuala Lumpur, Malaysia
6.1 The case study
6.2 Topographic data acquisition and rasterization
6.3 Numerical modelling schemes
6.4 Results
6.5 Discussion
6.6 Conclusions

7 Extracting inundation patterns from flood watermarks: the case study of Ayutthaya, Thailand
7.1 The case study
7.2 Top-view LiDAR data acquisition and processing
7.3 Side-view data acquisition and processing
7.4 Flood watermark extraction
7.5 Creating multi-source views digital elevation model (MSV-DEM)
7.6 Numerical modelling setups
7.7 Results
7.8 Discussion
7.9 Conclusions

8 Recommendations for developing flood-protection measures: the case study of Ayutthaya, Thailand
8.1 Problem identification
8.2 Proposed flood-protection measures
8.3 Establishment of scenarios
8.4 Evaluation of the simulated measures
8.5 Stakeholder preferences for flood-protection measures
8.6 Conclusions

9 Outlook of multi-view surveys and applications
9.1 Obtaining topographic data from different views
9.2 Unmanned aerial vehicle (UAV)
9.3 Mobile mapping system (MMS)
9.4 Unmanned surface vehicle (USV)
9.5 Night vision cameras for enhancing side-view surveys
9.6 Enhancing 2D model schematics
9.7 3Di for enhancing 2D models
9.8 High-performance computers for minimising computational costs

10 Conclusions and recommendations
10.1 Limitations of using conventional top-view LiDAR data
10.2 Benefits of using SfM technique for creating topographic data
10.3 3D point cloud data can be fused for constructing proper elevation maps
10.4 3D point cloud data can be used for enhancing 2D flood models
10.5 Enhanced computer-based environments can help developing flood protection measures
10.6 Recommendations

References

Biography

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.