ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume VI-4/W2-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4/W2-2020, 157–163, 2020
https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-157-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4/W2-2020, 157–163, 2020
https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-157-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Sep 2020

15 Sep 2020

EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS

S. Schneider, T. Santhanavanich, A. Koukofikis, and V. Coors S. Schneider et al.
  • University of Applied Sciences Stuttgart, Schellingstraße 24, 70174 Stuttgart, Germany

Keywords: Computational Fluid Dynamics (CFD) Simulation, Environmental Simulation, Visualization, Web Service, 3D City Models, CityGML, Open Geospatial Consortium

Abstract. In this paper various schemes for visualizing geo-spatial data such as Computational Fluid Dynamics (CFD) data are explored. The architecture of a new Smart Cities Platform is presented and examples of the visualization capabilities are given. Results show that scalar and vectorial measurands, such as wind pressure and wind directions, may be presented using the same schemes, however, interpretation of the visualization varies between measurands. A hex-grid representation of the highly dense point cloud data yields easier interpretation of the scene as do streamlines for visualizing a path of flow over and around buildings. Results of performance evaluations suggest that the same visualisation scheme (e.g. hex-grid) but different data formats, yields faster loading times when using 3D Tiles rather than GeoJSON and an overall smoother interaction within the application.