Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 175-178, 2016
22 Jun 2016
P. Tymkow, M. Karpina, and A. Borkowski Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, Poland
Keywords: 3D GIS, flood modelling, CityGML, laser scanning, 3D geometry modelling Abstract. The objective of this study is implementation of system architecture for collecting and analysing data as well as visualizing results for hydrodynamic modelling of flood flows in river valleys using remote sensing methods, tree-dimensional geometry of spatial objects and GPU multithread processing. The proposed solution includes: spatial data acquisition segment, data processing and transformation, mathematical modelling of flow phenomena and results visualization. Data acquisition segment was based on aerial laser scanning supplemented by images in visible range. Vector data creation was based on automatic and semiautomatic algorithms of DTM and 3D spatial features modelling. Algorithms for buildings and vegetation geometry modelling were proposed or adopted from literature. The implementation of the framework was designed as modular software using open specifications and partially reusing open source projects. The database structure for gathering and sharing vector data, including flood modelling results, was created using PostgreSQL. For the internal structure of feature classes of spatial objects in a database, the CityGML standard was used. For the hydrodynamic modelling the solutions of Navier-Stokes equations in two-dimensional version was implemented. Visualization of geospatial data and flow model results was transferred to the client side application. This gave the independence from server hardware platform. A real-world case in Poland, which is a part of Widawa River valley near Wroclaw city, was selected to demonstrate the applicability of proposed system.
Conference paper (PDF, 825 KB)

Citation: Tymkow, P., Karpina, M., and Borkowski, A.: 3D GIS FOR FLOOD MODELLING IN RIVER VALLEYS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 175-178, doi:10.5194/isprs-archives-XLI-B8-175-2016, 2016.

BibTeX EndNote Reference Manager XML