ABSTRACT
This conclusion presents some closing thoughts on the concepts discussed in the preceding chapters of this book. Extracting key components of urban features from the conventional top-view light detection and ranging (LiDAR) point cloud data applied a straightforward approach to extract and classify terrains, buildings, and trees, but only terrain point cloud and building point cloud were mainly used. The edited 3D point cloud of multi-source views (MSV) data were ready for creating elevation maps when all irritant high features, i.e. overarching structures and high trees were properly eliminated. Making use of the new side-view structure from motion (SfM) point cloud also showed that it can be used for flood watermark extraction. Simulation results appear to represent more realistic flood dynamics, especially in complex cities. Implementing the new MSV data approach the book presents the two case studies: the 2003 flood event of Kuala Lumpur, Malaysia and the 2011 flood event of Ayutthaya Island, Thailand.
