Merging Top-View Lidar Data With Street-View SFM Data To Enhance Urban Flood Simulation

Conference Paper (2014)
Author(s)

V. Meesuk (IHE Delft Institute for Water Education, HAII)

Zoran Vojinovic (IHE Delft Institute for Water Education)

A.E. Mynett (IHE Delft Institute for Water Education, TU Delft - Environmental Fluid Mechanics)

Research Group
Environmental Fluid Mechanics
Copyright
© 2014 V. Meesuk, Zoran Vojinovic, A.E. Mynett
More Info
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Publication Year
2014
Language
English
Copyright
© 2014 V. Meesuk, Zoran Vojinovic, A.E. Mynett
Research Group
Environmental Fluid Mechanics
Pages (from-to)
1792-1799
ISBN (print)
978-1-5108-0039-7
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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.