Implementation of Unmanned Aerial Vehicle for Cadastral Mapping

  • Rojgar Qarani Ismael Department of Geomatics, College of Engineering, Salahaddin University-Erbil, Kurdistan Region, Iraq
  • Qubad Zeki Henari Department of Surveying & Geomatics, College of Engineering, University of Ishik, Erbil, Kurdistan Region, Iraq
  • Azad Arshad Abdulwahab Department of Geomatics, College of Engineering, Salahaddin University-Erbil, Kurdistan Region, Iraq
Keywords: UAV; Photogrammetry; Orthomosaic; Cadastral; GSD

Abstract

Unmanned Aerial Vehicle (UAV) as a photogrammetric platform provides a new domain for engineers and geospatial professionals with a revolutionary tool for collecting a reliable geodata to be implemented for cadastral mapping. The aim of this study was to find the potential of UAV for cadastral mapping using high resolution aerial images. The study included the utilize of eBee PLUS fixed wing UAV flying at 106m altitude over Arab-Kand village. At the GSD of 2.5cm/pixel spatial resolution the site was covered by UAV images of forward and lateral overlap of 60% and 70% respectively. Horizontal accuracy obtained from generated orthomosaic was 4.8cm. This gives a possibility to create a line map with scale of 1:100 or 1:50. This study proved that the UAV based orthomosaic can be used for cadastral mapping due to high accuracy, low cost, less time consuming, rapid data acquisition, and complying with international standards.

References

ASPRS (2015), ASPRS Positional Accuracy Standards for Digital Geospatial Data, Photogrammetric Engineering and Remote Sensing, 81(3), pp.A1–A26.
Barnes, G., Volkmann, W., (2014). Virtual Surveying: Mapping and Modeling Cadastral Boundaries Using Unmanned Aerial System (UAS, FIG Congress, Engaging Challenges-Enhancing the Relevance, Kuala Lumpur Malaysia, 16-21June.
Eisenbeiss, H., (2009), UAV Photogrammetry, Published PHD dissertation, ETH Zurich.
Mumbone, M., Bennett, R., Gerke, M., and Volkmann, W., (2015), Innovations in Boundary Mapping: Namibia, Customary Lands and UAVs, World Bank Conference on Land and Poverty, Washington DC, 23-27 March.
Pix4D, (2016), Pix4D support site, Available at: https://support.pix4d.com/ [Accessed 20 February 2016].
Published
2019-08-09
How to Cite
Qarani Ismael, R., Q. Zeki Henari, and A. Arshad Abdulwahab. “Implementation of Unmanned Aerial Vehicle for Cadastral Mapping”. ZANCO Journal of Pure and Applied Sciences, Vol. 31, no. s3, Aug. 2019, pp. 264-8, doi:10.21271/ZJPAS.31.s3.36.