УДК 528.88:528.94:528.3
DOI: https://doi.org/10.36887/2415-8453-2026-1-58
JEL classification: R52; C88; O32
Published: 25.02.2026
This article substantiates a scientific approach to establishing the relationship between the regulatory requirements for the vertical accuracy of digital terrain models and the minimum required point-cloud density in airborne laser scanning. The study analyzes the current national regulatory acts regulating the accuracy of topographic surveying and compares them with international methodological approaches to classifying the quality of light detection and ranging data. It is shown that, in international practice, point density and vertical accuracy are considered interrelated quality parameters, whereas in the national regulatory framework, they are primarily determined by permissible mean square errors without explicit density thresholds. Based on empirical relationships among height error, point density, and terrain slope, an analytical framework is proposed to determine the minimum required ground point density to ensure compliance with established accuracy standards. Calculations were performed across different topographic map scales and terrain categories, accounting for geomorphological complexity and land-cover characteristics. The results confirm a consistent increase in the required density with increasing accuracy requirements and increasing terrain roughness. Special attention is paid to the discrepancy between the nominal pulse density and the effective density of ground points, especially in forested and vegetated areas, where pulse losses significantly affect the formation of the soil class. The study substantiates the need to introduce correction factors when planning airborne laser scanning missions to compensate for vegetation penetration limitations and slope-related interpolation errors. The results obtained provide a methodological basis for converting formal accuracy requirements into quantitatively justified density parameters and support further improvement and harmonization of national standards with international frameworks for light detection quality and ranging.
Keywords: airborne laser scanning; point cloud density; digital terrain model; elevation accuracy; regulatory requirements; land cover; survey scale.
Rеferences
- Butenko,, Kutsenko, O., Tertyshna, O., Tkachuk, Y., Yaretska, K. (2024). «Formation of a dense point cloud and its processing when creating a digital terrain model». Zemleustrij, kadastr i monitorynh zemel’. Issue 3. рр. 109-122. DOI: https://doi.org/10.31548/zemleustriy2024.03.09.
- Bater,W., Coops, N.C. (2009). «Evaluating error associated with lidar-derived DEM interpolation». Comput. Geosci. Vol. 35. рр. 289–300. DOI: https://doi.org/10.1016/j.cageo.2008.09.001.
- Hodgson,E., Bresnahan, P. (2004). «Accuracy of airborne LiDAR-derived elevation». Photogramm. Eng. Remote Sens. Vol. 70. рр. 331–339. DOI: https://doi.org/10.14358/PERS.70.3.331.
- Vash,, Nychvyd, M., Kalynych, I., Kablak, N. (2025). «The Influence of Surface Type on the Accuracy of Digital Terrain Models Derived from Airborne Laser Scanning Data (Using LiAir V70 as a Case Study)». In International Conference of Young Professionals «GeoTerrace-2025». Vol. 2025 No. 1. рр. 1-5. DOI: https://doi.org/10.3997/2214-4609.202552041.
- Stereńczak,, Ciesielski, M., Balazy, R., Zawiła-Niedźwiecki, T. (2016). «Comparison of various algorithms for DTM interpolation from LIDAR data in dense mountain forests». Eur. J. Remote Sens. Vol. 49. рр. 599–621. DOI: https://doi.org/10.5721/EuJRS20164932.
- Sterenczak,, Moskalik, T. (2014). «Use of LIDAR-based digital terrain model and single tree segmentation data for optimal forest skid trail network». iForest-Biogeosci. Vol. 8. P. 661. DOI: https://doi.org/10.3832/ifor1355-007.
- Aguilar,J., Agüera, F., Aguilar, M.A., Carvajal, F. (2005). «Effects of terrain morphology, sampling density, and interpolation methods on grid DEM accuracy». Photogramm. Eng. Remote Sens. Vol. 71. рр. 805–816. DOI: https://doi.org/10.14358/PERS.71.7.805.
- Liao,, Dong, X., He, Q. (2024). «Calculating the optimal point cloud density for airborne lidar landslide investigation: An adaptive approach». Remote Sensing. Vol. 16(23). рр. 4563.
- Agüera-Vega,, Agüera-Puntas, M., Martínez-Carricondo, P., Mancini, F., Carvajal, F. (2020). «Effects of point cloud density, interpolation method and grid size on derived Digital Terrain Model accuracy at micro topography level». International Journal of Remote Sensing. Vol. 41(21). рр. 8281-8299.
- Vash, (2023). «Features of inventory of green plantings by automated terrestrial laser scanning methods». Heodeziia, kartohrafiia i aerofotoznimannia. Issue 98. рр. 24–31. DOI: https://doi.org/10.23939/istcgcap2023.98.024.
- Hyyppä,, Yu, X., Hyyppä, J., Kaartinen, H., Kaasalainen, S., Honkavaara, E., Rönnholm, P. (2005). «Factors affecting the quality of DTM generation in forested areas». International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. № 36(3/W19). рр. 85-90. Available at: https://www.isprs.org/proceedings/XXXVI/3-W19/papers/085.pdf.
- Shan,, Toth, C.K. (2018). Topographic laser ranging and scanning: principles and processing. CRC Press.
- Burshtyns’ka, V., Babushka, A.V. (2013). «»Influence of the atmosphere on the attenuation of the laser beam during terrain scanning. Heodeziia, kartohrafiia i aerofotoznimannia. Issue 78. рр. 49-53. Available at: https://science.lpnu.ua/uk/istcgcap/vsi-vypusky/vypusk-78-2013/vplyv-atmosfery-na-poslablennya-lazernogo-promenya-pry.
- Karel,, Kraus, K. (2006). «Quality parameters of digital terrain models». European Spatial Data Research. рр. 125-139 Available at: https://www.eurosdr.net/sites/default/files/uploaded_files/eurosdr_publication_ndeg_51.pdf.
- Vosselman,, Maas, H.G. (2010). Airborne and terrestrial laser scanning. Whittles publishing.
- S. Geological Survey. Lidar Base Specification 2025 rev. A: U.S. Department of the Interior JUN 2025. Available at: https://www.usgs.gov/media/files/lidar-base-specification-2025-rev-a.
- Höhle,, Höhle, M. (2009). «Accuracy assessment of digital elevation models by means of robust statistical methods». ISPRS J. Photogramm. Remote Sens. Vol. 64. рр. 398–406. Available at: https://scispace.com/pdf/accuracy-assessment-of-digital-elevation-models-by-means-of-4kw43oeqtz.pdf.
- Kolb,, Protsyk, M. (2009). «Methodology for automatic extraction of structural relief lines from raster DEMs created from laser scanning data». Heodeziia, kartohrafiia i aerofotoznimannia. № 72. рр. 69–74. Available at: https://science.lpnu.ua/sites/default/files/journal-paper/2017/may/1634/gka72200911.pdf.
- Hlotov,, Petryshyn, I. (2023). «Analysis of modern unmanned aerial vehicles equipped with a laser scanning system». Suchasni dosiahnennia heodezychnoi nauky ta vyrobnytstva. Issue 1 (45). рр. 59-65. DOI: https://doi.org/10.33841/1819-1339-1-45-59-65.
- Pro zatverdzhennia Poriadku topohrafichnoi zjomky u masshtabakh 1:5000, 1:2000, 1:1000 ta 1:500»: Nakaz Ministerstva ahrarnoi polityky ta prodovol’stva Ukrainy. (2025). [On approval of the Procedure for topographic surveying at scales 1:5000, 1:2000, 1:1000 and 1:500″: Order of the Ministry of Agrarian Policy and Food of Ukraine]. № 1675 dated April 17, 2025. Available at: https://zakon.rada.gov.ua/laws/show/z0868-25#Text.
- Babushka,V., Burshtyns’ka, Kh.V. (2019). Aviatsijne lazerne skanuvannia. [Aviation laser scanning]. Vydavnytstvo L’vivs’koi politekhniky. L’viv. Ukraine.
Quote article, APA style
Kalynych I. , Vash Y. , Nychvyd M. Methodological principles for determining the minimum required density of the point cloud of aviation laser scanning considering regulatory requirements for accuracy and physical and geographical conditions of the territory. West Ukrainian National University. 2026. №1. 311-315 pp. https://doi.org/10.36887/2415-8453-2026-1-58
Quote article, MLA style
Kalynych I. , Vash Y. , Nychvyd M. Methodological principles for determining the minimum required density of the point cloud of aviation laser scanning considering regulatory requirements for accuracy and physical and geographical conditions of the territory. West Ukrainian National University. https://doi.org/10.36887/2415-8453-2026-1-58
