In this master’s thesis, we examined the influence of field data acquisition methods on the estimated volumes of earthworks in a forest road project. For this purpose, three conceptual designs were prepared, one for new construction and two for forest road reconstructions. The study compared three acquisition methods: direct surveying of cross-sections and two digital terrain models with a 0,5 × 0,5 m resolution. The first model was generated from a LiDAR point cloud obtained during the national laser scanning of Slovenia in 2014, while the second was produced from a UAV-derived point cloud in 2024. Earthwork volumes were calculated for 2.437 m of designed forest roads and 210 cross-sections. The results showed no statistically significant differences among the methods in the case of new road construction, while significant differences were observed for reconstructions. For reconstructions, the highest volumes were derived using the LiDAR2014 method, which exceeded UAV-based estimates by up to 12,2% and direct survey estimates by as much as 59,2%. The analysis further indicated that terrain slope significantly increases the differences in earthwork volumes among methods. The findings highlight the practical relevance of method selection, as significant differences in earthwork volumes for forest road reconstructions directly affect projected implementation costs.
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