UAV and terrestrial laser scanner data processing for large scale topographic mapping

Authors

  • Ganbold Ulziisaikhan Department of Geodesy, School of Geology and Mining, Mongolian University of Science and Technology, Ulaanbaatar 14191, Mongolia
  • Dash Oyuntsetseg Department of Geodesy, School of Geology and Mining, Mongolian University of Science and Technology, Ulaanbaatar 14191, Mongolia

DOI:

https://doi.org/10.5564/mgs.v50i0.1329

Keywords:

Digital elevation model (DEM), map projection, data analysis, ground control points (GCP)

Abstract

Integrating spatial data from different sources results in visualization, which is the last step in the process of digital basic topographic map creation. Digital elevation model and visualization will used for geomorphological mapping, geospatial database, urban planning and etc. Large scale topographic mapping in the world countries is really a prominent challenge in geospatial industries today. The purpose of this work is to integrate laser scanner data with the ones generated by aerial photogrammetry from UAV, to produce detailed maps that can used by geodetic engineers to optimize their analysis. In addition, terrestrial - based LiDAR scans and UAV photogrammetric data were collected in Sharga hill in the north zone of Mongolia. In this paper, different measurement technology and processing software systems combined for topographic mapping in the data processing scheme. UTM (Universal Transverse Mercator) projected coordinate system calculated in WGS84 reference ellipsoid. Feature compilation involving terrestrial laser scanner data and UAV data will integrated to offer Digital Elevation Models (DEM) as the main interest of the topographic mapping activity. Used UAV generate high-resolution orthomosaics and detailed 3D models of areas where no data, are available. That result issued to create topographic maps with a scale of 1:1000 of geodetic measurements. Preliminary results indicate that discontinuity data collection from UAV closely matches the data collected using laser scanner.

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References

Bayanjargal, B., Nyamkhuu, M. 2017 Methodological issues in processing medium-scale geomorphological map (in Mongolian).

Bemis, S.P., Micklethwaite, S., Turner, D., James, M.R., Akciz, S., Thiele, S.T., Bangash, H.A. 2014. Ground-based and UAV-Based photogrammetry: A multi-scale, high-resolution mapping tool for structural geology and paleoseismology. Journal of Structural Geology, v. 69, p. 163-178. https://doi.org/10.1016/j.jsg.2014.10.007

Blistan, P., Kovanič, L., Zelizňaková, V., Palková, J. 2016. Using UAV photogrammetry to document rock outcrops. Acta Montanistica Slovaca v. 21(2), p. 154-161.

Campana, S. 2017. Drones in Archaeology. State-of-the-art and Future Perspectives. Archaeological Prospection, v. 24(4), p. 275-296. https://doi.org/10.1002/arp.1569

Chesley, J.T., Leier, A.L., White, S., Torres, R. 2017. Using unmanned aerial vehicles and structurefrom-motion photogrammetry to characterize sedimentary outcrops: An example from the Morrison Formation, Utah, USA.

Sedimentary Geology, v. 354, p. 1-8. https://doi.org/10.1016/j.sedgeo.2017.03.013

Fisher, P., Wood, J., Cheng, T., 2004. Multiscale morphometry and the mountains of the English lake district. Transactions of the Institute of British Geographers, v. 29(1), p. 106-128. https://doi.org/10.1111/j.0020-2754.2004.00117.x

Harvey, M.C., Rowland, J.V., Luketina, K.M. 2016. Drone with thermal infrared camera provides high resolution georeferenced imagery of the Waikite geothermal area, New Zealand. Journal of Volcanology and Geothermal Research, v. 325, p. 61-69. https://doi.org/10.1016/j.jvolgeores.2016.06.014

Hodgetts, D. 2013. Laser scanning and digital outcrop geology in the petroleum industry: A review. Marine and Petroleum Geology, v. 46, p. 335-354. https://doi.org/10.1016/j.marpetgeo.2013.02.014

Joachim, H. 2017. From classification results to topographic maps, Aalborg University, Department of Development and Planning, Denmark, Generating Topographic Map Data from Classification Results, Remote Sensing, v. 9(3), p. 224. https://doi.org/10.3390/rs9030224

Liu, Y., Zheng, X., Ai, G., Zhang, Y., Zuo, Y. 2018. Generating a High-Precision True Digital Orthophoto Map Based on UAV Images, ISPRS International Journal of Geo-Information, v. 7(9), p. 333. https://doi.org/10.3390/ijgi7090333

Madjid, M.Y.A., Vandeginste, V., Hampson, G., Jordan, C.J., Booth, A.D. 2018. Drones in carbonate geology: Opportunities and challenges, and application in diagenetic dolomite geobody mapping, Marine and Petroleum Geology, v. 91, p. 723-734. https://doi.org/10.1016/j.marpetgeo.2018.02.002

Manchuk, J.G. 2009. Conversion of Latitude and Longitude to UTM Coordinates, Paper 410, CCG Annual Report 11, p. 1-4.

Marsella, M., Nardinocchi, C., Proietti, C., Daga, L., Coltelli, M. 2014. Monitoring Active Volcanos Using Aerial Images and the Orthoview Tool. Remote Sensing, v. 6, p. 12166-12186. https://doi.org/10.3390/rs61212166

Martínez-Espejo Zaragoza, I., Caroti, G., Piemonte, A., Riedel, B., Tengen, D., Niemeier, W. 2017. Structure from Motion (SfM) Processing of UAV Images and Combination with Terrestrial Laser Scanning, Applied for a 3d-Documentation in a Hazardous Situation. Geomatics, Natural Hazards and Risk, v. 8(2), p. 1492-1504. https://doi.org/10.1080/19475705.2017.1345796

Neitzel, F., Klonowski, J. 2011. Mobile 3D mapping with a low-cost UAV System. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XXXVIII-1/C22, p. 39-44. https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-39-2011

Nieminski, N.M., Graham, S.A., 2017. Modeling stratigraphic architecture using small unmanned aerial vehicles and photogrammetry: examples from the Miocene East Coast Basin, New Zealand. Journal of Sedimentary Research v. 87, p. 126-132. https://doi.org/10.2110/jsr.2017.5

Niethammer, U., James, M.R., Rothmund, S., Travelletti, J., Joswig. M. 2012. UAV-based Remote Sensing of the Super-Sauze Landslide: Evaluation and Results. Engineering Geology v. 128, p. 2-11. https://doi.org/10.1016/j.enggeo.2011.03.012

Ruiz, J.J., Diaz-Mas, L., Perez, F., Viguria, A. 2013. Evaluating the accuracy of dem generation algorithms from UAV imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XL-1/W2, p.333-337. https://doi.org/10.5194/isprsarchives-XL-1-W2-333-2013

Tampubolon, W., Reinhardt, W. 2014. UAV data processing for large scale topographical mapping, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XL-5, p. 565-572. https://doi.org/10.5194/isprsarchives-XL-5-565-2014

Tong, X., Liu, X., Chen, P., Liu, S., Luan, K., Li, L., Liu, S., Liu, X., Xie, H., Jin, Y., Hong, Z. 2015. Integration of UAV-Based Photogrammetry and Terrestrial Laser Scanning for the Three-Dimensional Mapping and Monitoring of Open-Pit Mine Areas. Remote Sensing, v. 7, p. 6635-6662. https://doi.org/10.3390/rs70606635

Uysal, M., Toprak, A.S, Polat, N. 2015. DEM generation with UAV Photogrammetry and accuracy analysis in Sahitler hill, Measurement, v. 73, p. 539-543. https://doi.org/10.1016/j.measurement.2015.06.010

Vosselman, G., Maas, H.G. 2010. Airborne and Terrestrial Laser Scanning. Boca Raton, CRC Press, 318 p.

Xing, C., Wang, J., Xu, Y. 2010. Overlap Analysis of the Images from Unmanned Aerial Vehicles. International Conference on Electrical and Control Engineering, Wuhan, p. 1459-1462. https://doi.org/10.1109/iCECE.2010.360

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Published

2020-06-02

How to Cite

Ulziisaikhan, G., & Oyuntsetseg, D. (2020). UAV and terrestrial laser scanner data processing for large scale topographic mapping. Mongolian Geoscientist, 50, 63–73. https://doi.org/10.5564/mgs.v50i0.1329

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