THE EFFECT OF DIFFERENT FLIGHT HEIGHTS ON GENERATED DIGITAL PRODUCTS: DSM AND ORTHOPHOTO

Abstract

Unmanned Aerial Vehicle (UAV) allows you to create digital surface models (DSM) and orthophotos of an area in a short time by photogrammetric methods. In the last decade, UAV and Global Positioning System (GPS) have been used to create real, reliable and high-resolution maps. In this study, the effect of flight height on DSM and orthophoto was investigated. Two flight plans at a height of 30 to 50 meters were prepared. Images taken with UAV were used to produce DSM and orthophoto. Resolution of maps were compared when models were produced.  Compared to a flight height of 50 meters, a more detailed and high-resolution model was created with 30 meters. Although the flight data from 30 meters gave better results, the flight process took longer. Also, more photos were taken and the file size took up more space. As a result of this comparison, it was determined that the flight height should be determined according to the terrain structure, accuracy, precision and time-cost balance expected from the job.

Keywords

• Unmanned aerial vehicle (UAV),digital surface model (DSM)

References

1. ATLIS Geomatics,http://www.atlisgeo.com/expertise/process/dem-dtm/ [Accessed 17 Oct. 2019].
2. Bogaziçi Construction Consultancy A.Ş. (BIMTAS),https://bimtas.istanbul/lttmDem.aspx [Accessed 15 Oct. 2019a].
3. Bogaziçi Construction Consultancy A.Ş. (BIMTAS), https://bimtas.istanbul/bimtas-galeri-lttm.aspx?kls=DSM [Accessed 15 Oct. 2019b].
4. Ceylan, M., Doner, F. and Ozdemir, S. (2014). “Use of unmanned aerial vehicle systems in data collection and mapping studies.” 5. Remote Sensing-GIS semposium, Istanbul, Turkey.
5. Dellaert, F. Seitz, S. M., Thorpe, C. E. and Thrun, S. (2000). “Structure from motion without correspondence. Proceedings.” IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000 (Cat. No.PR00662), Hilton Head Island, SC, pp. 557-564 Vol. 2, doi: 10.1109/CVPR.2000.854916.
6. Eisenbeiss, H. (2003). Positions und orientierungsbestimmung eines autonomen helikopters-vergleich zwischen direkter georeferenzierung und aerotriangulation mit videobilddaten, Diploma Thesis, Institute for Photogrammetry and remote sensing, University of Technology, Dresden, Germany.
7. Eisenbeiss, H. (2004) “A mini unmanned aerial vehicle (UAV): system overview and image acquisition.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 36, part 5/W1, on CD-ROM.
8. Eisenbeiss, H. (2009). UAV Photogrammetry, ETH Zurich for the degree of Doctor of Science, ISNN 0252-9335, ISBN: 978-3-906467-86-3, Zurich, Switzerland.

9. Furukawa, Y., Hernández, C. (2013). “Multi-View Stereo: A Tutorial.” Foundations and Trends® in Computer Graphics and Vision, Vol. 9, No. 1-2, pp. 1-148.
10. Kraus, K. (2007). “Photogrammetry, Geometry from Images and Laser Scans (2nd edition)”,Walter de Gruyter, Berlin, Germany.
11. Kolzenburg, S., Favalli, M., Fornaciai, A., Isola, I., Harris, A. J. L., Nannipieri, L. And Giordano, D. (2016). “Rapid updating and improvement of airborne lidar DEMs through ground-based sfm 3-d modelling of volcanic features.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 11, pp. 6687-6699.
12. Marangoz, A., M. (2014). “Lecture notes on photogrammetry II”, Bülent Ecevit University, Zonguldak, Turkey.
13. Newhall, B. (1969). “Airborne camera: The world from the air and outer space.” Hasting House Trowbridge&London, pp. 144.
14. Nex, F. and Remondino, F. (2014). “UAV for 3D mapping applications: a review.” Applied Geomatics, Vol. 6, Issue 1, pp.1-15.
15. NIK Construction Tic. Ltd. Sti. http://www.nik.com.tr/content_sistem_alt.asp?id=84 [Accessed 14 Oct. 2019].
16. Ozemir, I. and Uzar, M. (2016). “The generation of photogrammetric data with unmanned aerial vehicle.” 6. Remote Sensing-GIS DEMposium, Adana, Turkey, pp. 245-254.
17. Parrot (2018) “Anafi User Manual v2.2.” pp.1-73.
18. Rawat K. S. and Lawrence E. E. (2014). “A mini-UAV VTOL Platform for Surveying Applications.” International Journal of Robotics and Automation (IJRA) Vol. 3, No. 4, pp. 259-267.
19. Sariturk, B. and Seker D.Z. (2017) “Comparison Of Commercial And Open-Source Software Used In 3d Object Modeling With Sfm Technique.” Afyon Kocatepe University Journal of Science and Engineering, Special Issue, pp. 126-131.
20. Seren, A. M. and Demirel, H. (2016). “3 Dımensıonal Modellıng Of Large Objects In Open-Space: A Comparıson Of Recent Methodologıes In Geomatıcs Engıneerıng”. 8. National Engineering Surveys Symposium, Yıldız Technical University, Istanbul, Turkey.
21. Sweeney, C. (2016). Theia Visison Libraryhttp://www.theia-sfm.org/sfm.html [Accessed 11 Oct. 2019].
22. Whittlesley, J. H. (1970). “Tethered Balloon for Archaeloogical Photos, In Photogrammetric Engineering.” 36 2, pp. 181-186.
23. Yakar, M. and Dogan, Y. (2017). “3D Modelling of Silifke Asagi Dunya Sinkhole by Using UAV.” Afyon Kocatepe University Journal of Science and Engineering, Special Issue, pp. 94-101.
24. Yasayan, A. (2011). “Photogrammetry.” T.C.Anadolu Üniversitesi Yayını, No: 2295. Acıkoğretim Fakültesi Yayını, No:1292, Eskisehir, Turkey
25. Morgan, J. A. and Brogan, D. J. (2016). “How to Visual SFM”. Department of Civil & Environmental Engineering Colorado State University Fort Collins, Colorado.