Print Email Facebook Twitter Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation Title Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation Author Meesuk, V. (IHE Delft Institute for Water Education; HAII) Vojinovic, Zoran (IHE Delft Institute for Water Education) Mynett, A.E. (TU Delft Environmental Fluid Mechanics; IHE Delft Institute for Water Education) Contributor Piasecki, M (editor) Date 2014 Abstract Top-view data obtainedfrom LiDAR systemshas long been used as topographic-input data for urban flood modelling applications. This high-resolution input data has considerable potential to improve urban flood modelling predictions with more detail. However, the difficulty of employing top-view data is that it may create some missing urban features because this type ofdata cannot represent anyurban features,which are hiddenunderneath other objects. These hidden featuresmay play a substantial part in diverting floodwater flowing through,especially in complex urban areas. The recent advances in Photogrammetry and Computer Vision techniques offer an opportunity to create high-resolution topographic data. By using a consumer digital camera, 2D digital photoscan betaken from different viewpoints. The so-called Structure from Motion (SfM) techniquecan usethese overlappingphotos and reconstruct theminto3D pointcloud data with a high level of accuracy and resolution,usinga cost effective approach. In this work, we create street-view SfM point-cloud data obtained from street viewpoints. We also introduce a new multi-view approach by merging top-view LiDAR data withstreet-view SfM data. This new multi-view data can be used as topographic input data for a coupled 1D-2D model. When applyingsuch newdata, the flood simulation results can highlight some flood propagations much better than using the traditional top-view LiDAR data. Therefore, it has the potential toenhance the multi-view approach into practicable flood-modelling applications for the present and future urbanizing areas. To reference this document use: http://resolver.tudelft.nl/uuid:a3bc470e-8407-4926-8ec0-a23c3d29090d ISBN 978-1-5108-0039-7 Source Proceedings of the HIC 2014 - 11th international conference on hydroinformatics Event 11th International Conference on Hydroinformatics, 2014-08-17 → 2014-08-21, New York, United States Part of collection Institutional Repository Document type conference paper Rights © 2014 V. Meesuk, Zoran Vojinovic, A.E. Mynett Files PDF viewcontent.cgi11.pdf 663.19 KB Close viewer /islandora/object/uuid:a3bc470e-8407-4926-8ec0-a23c3d29090d/datastream/OBJ/view