Volume XLII-2/W8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 53-58, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 53-58, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Nov 2017

13 Nov 2017

UTILIZATION OF LARGE SCALE SURFACE MODELS FOR DETAILED VISIBILITY ANALYSES

J. Caha1 and M. Kačmařík2 J. Caha and M. Kačmařík
  • 1Department of Regional Development, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
  • 2Institute of Geoinformatics, VŠB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic

Keywords: analysis of visibility, unmanned air vehicle, 3d point cloud, extended viewshed, viewshed

Abstract. This article demonstrates utilization of large scale surface models with small spatial resolution and high accuracy, acquired from Unmanned Aerial Vehicle scanning, for visibility analyses. The importance of large scale data for visibility analyses on the local scale, where the detail of the surface model is the most defining factor, is described. The focus is not only the classic Boolean visibility, that is usually determined within GIS, but also on so called extended viewsheds that aims to provide more information about visibility. The case study with examples of visibility analyses was performed on river Opava, near the Ostrava city (Czech Republic). The multiple Boolean viewshed analysis and global horizon viewshed were calculated to determine most prominent features and visibility barriers of the surface. Besides that, the extended viewshed showing angle difference above the local horizon, which describes angular height of the target area above the barrier, is shown. The case study proved that large scale models are appropriate data source for visibility analyses on local level. The discussion summarizes possible future applications and further development directions of visibility analyses.