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Volumes determination in terms of various data density and surface diversity

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose The aim of this paper is to assess the impact of input data density and diversity on surfaces obtained using the terrestrial laser scanning (TLS) method for creating digital elevation model (DEM). For this we can use several approaches, while we have chosen an intermediary parameter – volume calculation, which is in practice the most frequently requested requirement from surveyors. Methods Precise terrestrial measurement and terrestrial laser scanning were used to ensure that detailed knowledge about the surface and volumes of two piles of earth and a stone pit in comparison with theoretical defined surfaces was obtained. Results Mathematically defined surfaces generally have smooth shapes, and thus the effect of different density on the input data is less apparent in the final comparison of volumes. In our case the results for most of the different interpolation methods and the different density of the input data was less than 0.5%. From the experimental measurements of the two earth bodies and the quarry, which have an irregular shape with unsmooth surfaces, we can only test the relative precision of the calculated volumes to the data with the highest density. Experimental measurements in the area of the quarry, where the scanned surface was uneven and considerably different in height, confirmed the assumption that a vastly irregular surface should exhibit more significant variations than a smooth surface, but for the nearest neighbour method relative errors under 1% were achieved. Practical implications According to the results from the analysis above, the lower density of input data we have, the lower the precision of calculating volumes we can assume, but it is interesting that we did not achieved significantly worse results with strongly irregular surfaces compared to a less irregular surface. Originality/ value The input values for the analysis of theoretically defined surfaces were obtained by the calculation of integral calculus and earth-moving bodies and quarry from an experimental measurement terrestrial laser scanning method and were used in Slovakia for the first time.
Rocznik
Strony
23--27
Opis fizyczny
Bibliogr. 11 poz.
Twórcy
autor
  • Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava (Bratislava, Slovakia), tel. +421 907 169 380
autor
  • Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava (Bratislava, Slovakia)
autor
  • Terraprojekt, public limited company (Bratislava, Slovakia)
autor
  • Department of graphic documentation, The Monuments Board of the Slovakia (Bratislava, Slovakia)
Bibliografia
  • 1. Aguilar, F.J., Agűera, F., Aguilar, M.A., & Carvajal, F. (2005). Effects of Terrain Morphology, Sampling Density, and Interpolation Methods on Grid DEM Accuracy. Photogrammetric Engineering & Remote Sensing, 71(7), 805–816.
  • 2. Chaplot, V., Darboux, F., Bourennane, H., Leguédois, S., Silvera, N., & Phachomphon, K. (2006). Accuracy of Interpolation Techniques for the Derivation of Digital Elevation Models in Relation to Landform Types and Data Density. Geomorphology, 77, 126–141.
  • 3. Chen, Ch.S., & Lin, H.Ch. (1991). Estimating Pit-Excavation Volume Using Cubic Spline Volume Formula. Journal of Surveying Engineering, 117(2), 51–66.
  • 4. Easa, S.M. (1998). Smooth Surface Approximation for Computing Pit Excavation Volume. Journal of Surveying Engineering, 124(3), 125–133.
  • 5. Gašinec, J., Gašincová, S., Černota, P., & Staňková, H. (2012). Zastosowanie naziemnego skaningu laserowego do monitorowania lodu gruntowego w Dobszyńskiej Jaskini Lodowej [Uses of terrestrial laser sanning in mnitoring of ground ice within dobšinská ice cave]. Inżynieria Mineralna, 13(2), 31–42.
  • 6. Křemen, T., Pospíšil, J., & Koska, B. (2009). Ověření relativní přesnosti určování objemů [Verification of the Relative Accuracy of a Volume Determination]. In Sustainable Construction 5. Praha: CTU in Prague.
  • 7. Li, Z. (1992). Variation of the Accuracy of Digital Terrain Models with Sampling Interval. Photogrammetric Record, 14(79), 113–128.
  • 8. Li, Z., Zhu, Q., & Gold, Ch. (2004). Digital Terrain Modelling: Principles and Methodology. CRS Press.
  • 9. McCullagh, M.J. (1988). Terrain and Surface Modelling Systems Theory and Practise. The Photogrammetric Record, 12(2), 747–779.
  • 10. Yanalak, M., Baykal, O. (2003). Digital Elevation Model Based Volume Calculations Using Topographical Data. Journal of Surveying Engineering, 129(2), 56–64.
  • 11. Yilmaz, I. (2009). A Research on the Accuracy of Landform Volumes Determined Using Different Interpolation Methods. Scientific Research and Essay, 4(11), 1248–1259.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-604e3abc-8b97-4cff-9c70-3bb4b632c442
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