Analysis of the consistency between a Digital Terrain Model (DTM) generated from aerial photographs and a model obtained using airborne laser scanning (LiDAR)
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Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology
Submission date: 2025-08-01
Final revision date: 2025-09-11
Acceptance date: 2025-09-15
Publication date: 2025-11-18
Corresponding author
Paulina Modlińska
Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, Wybrzeże Stanisława Wyspiańskiego 27, 50-370, Wrocław, Poland
Geomatics, Landmanagement and Landscape 2025;(3)
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ABSTRACT
The aim of the study was to analyze the consistency of two digital terrain models (DTMs): one generated from aerial photographs using the Delta photogrammetric workstation, and the other developed based on airborne laser scanning data (LiDAR, ALS). The comparison was conducted in the area of the village Chańcza and the Chańcza Reservoir, characterised by varied morphology (flat areas, forested and built-up zones). The analysis aimed to assess the geometric consistency of both models, identify elevation differences, and evaluate their suitability in the context of diverse terrain conditions. The source data included digital aerial images and a LiDAR point cloud with an average density of 4 points/m². Processing involved the reconstruction of TIN models on the Delta photogrammetric workstation and using Terrasolid software
(including the TerraScan and TerraModeler modules), as well as spatial comparison using CloudCompare tools (cloud-to-cloud analysis). The results showed that the average height difference between the models was 4.14 cm, with a maximum deviation of 23.41 cm, mainly in forested areas. The smallest discrepancies were recorded in flat areas. It was also noted that the differences increase with terrain elevation. The analysis demonstrated that both photogrammetric data and LiDAR can be effectively used to generate digital terrain models. However, the choice of data acquisition method should always depend on the terrain morphology and the expected accuracy of the final model. This approach ensures that the task is performed cost-effectively and to a high standard.