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https://doi.org/https://doi.org/10.5552/crojfe.2026.3636

Automatic Detection of Surface Damage on Forest Roads Using Mobile LiDAR and GIS Processing Tools

Petr Hrůza orcid id orcid.org/0000-0003-1853-2112 ; Mendel University in Brno Faculty of Forestry and Wood Technology Department of Landscape Management Zemědělská 3 613 00 Brno THE CZECH REPUBLIC
Tomáš Mikita ; Mendel University in Brno Faculty of Forestry and Wood Technology Department of Forest Management and Applied Geoinformatics Zemědělská 3 613 00 Brno THE CZECH REPUBLIC *
Dominika Krausková ; Mendel University in Brno Faculty of Forestry and Wood Technology Department of Forest Management and Applied Geoinformatics Zemědělská 3 613 00 Brno THE CZECH REPUBLIC

* Dopisni autor.


Puni tekst: engleski pdf 2.321 Kb

str. 117-130

preuzimanja: 51

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Sažetak

In this study, a method of automatically detecting carriageway edges and damaged areas on the surface of forest road wearing courses was tested based on high-density LiDAR data acquired using a handheld mobile laser scanning device. The results were compared with those of current tacheometric methods. Whereas most previous studies have focused on detecting road segments or objects and road centrelines using object-oriented classifications or support vector machine (SVM) algorithms, our research was directed to detect forest carriageway edges and road surface deterioration. Forest roads are designed with a 20-year lifespan before structural failures affect up to 25% of the surface area. We developed an automatic method for detecting damaged areas in the wearing course using GIS tools in ArcGIS Pro. According to the carriageway edges, an overestimation was found between the areas detected automatically and those surveyed tacheometrically, with the automatically detected area being 28% larger. However, it was also found that most of the damage detected was within the tacheometrically surveyed carriageway edges (89%). Agreement between the damage boundary overlaps was relatively low; at 57%, the total damage area detected automatically was 19% larger than that surveyed tacheometrically. The results show that the new automatic process can provide more precise, objective data, as tacheometrical methods can be influenced by the individual approach of a surveyor. Simple and quick detection of damaged areas allows assessing the condition of forest road surfaces and determining repair priorities.

Ključne riječi

forest road, mobile LiDAR, GIS, carriageway, wearing course, surface damage, automatic process, detection

Hrčak ID:

343130

URI

https://hrcak.srce.hr/343130

Datum izdavanja:

16.1.2026.

Posjeta: 149 *