Work

ALS and SfM Field Data Survey as a Basis of Forest Road Design

Year: 2026

Type: article

Abstract: Field data of high accuracy and precision is the basis for creating the high-quality design of a forest road. In this study, three survey methods for collecting field data were tested: ALS UAV, LiDAR data of the Republic of Croatia, collected by airplane, and UAV SfM. A total of three detailed forest road projects were created based on the collected data. The designed forest roads had the same horizontal and vertical development, thus eliminating the human factor from the design process. Four important forest road parameters were tested: earthwork cut and fill volume, cross-terrain slope, and carriageway value. No significant statistical difference was found for any of the tested parameters between designs. The design based on ALS data had a total number of earthworks of 1026.03 m3, the amount was 1449.56 m3 for SfM design, and the number of earthworks for the State Geodetic Administration LiDAR data was 889.02 m3. The calculated amount of cut volume was significantly affected by the error of the carriageway value for the State Geodetic Administration LiDAR data-based design. The results indicate the possibility of using all used methods on terrain with a moderate slope, but there is a need for further testing on different terrain slope classes.

Source: Forests

DOI: 10.3390/f17020265

Authors: Ivica Papa, Luka Hodak, Maja Popović, Andreja Đuka, Tibor Pentek, Mihael Lovrinčević

Institution: University of Zagreb

Language: English

Topic: Remote Sensing and LiDAR Applications

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $3,137