Height transformation between SVS2000/TRST and IN SVS2010/KOPER with the national height transformation model

Height transformation between SVS2000/TRST and IN SVS2010/KOPER with the national height transformation model

In this paper we present the creation of a national height transformation model that allows the transformation of heights between the old (SVS2000/Trieste) and the new height system (SVS2010/Koper) and vice versa. The height transformation surface - SLO-VTP2024 was created on the basis of 2,116 heig...

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Bibliographic Details
Main Authors: Božo Koler, Tomaž Ambrožič, Dušan Kogoj, Klemen Kregar, Aleš Marjetič, Gašper Štebe, Jernej Tekavec, Tilen Urbančič, Simona Savšek
Format: Article
Language:English
Published: Association of Surveyors of Slovenia (Zveza geodetov Slovenije) 2025-01-01
Series:Geodetski Vestnik
Subjects:
height transformation model
height transformation surfaces
accuracy of height transformation surface
cell grid
vitra software package
quality analysis
Online Access:https://www.geodetski-vestnik.com/arhiv/69/1/11_Koler_at_al.pdf
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Summary:In this paper we present the creation of a national height transformation model that allows the transformation of heights between the old (SVS2000/Trieste) and the new height system (SVS2010/Koper) and vice versa. The height transformation surface - SLO-VTP2024 was created on the basis of 2,116 height differences between the old and the new height system on benchmarks evenly distributed across Slovenia. The height transformation surface - SLO-VTP2024 and SLO-VTP2024 accuracy surface is determined by the kriging interpolation method with additional influence of the variogram and written in the form of a cell grid. The ViTra software package is presented, which enables the height transformation on the basis of optimized bilinear interpolation equations. The quality of SLO-VTP2024 was assessed on the basis of the differences between the calculated heights and the heights determined by the transformation at the points for determining the height transformation surface – 2,116 benchmarks, at 8,775 and 8.695 control benchmarks, on control benchmarks belonging to different orders of the levelling network, on control benchmarks stabilized in individual loops of the new 1st order Slovenian levelling network, and by area and benchmarks stabilized in individual city levelling networks.
ISSN:0351-0271
1581-1328

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