TY  - JOUR
T1  - Assessing Rut Depth Formation in a Skidding Operation Using UAV Photogrammetry
AU  - Büyüksakallı, Halit
AU  - Taş, İnanç
AU  - Akay, Abdullah Emin
PY  - 2025
DA  - November
Y2  - 2025
DO  - 10.33904/ejfe.1751349
JF  - European Journal of Forest Engineering
JO  - Eur J Forest Eng
PB  - Forest Engineering and Technologies Platform
WT  - DergiPark
SN  - 2149-5637
SP  - 184
EP  - 191
VL  - 11
IS  - 2
LA  - en
AB  - Mechanical harvesting equipment used in forestry operations increases productivity; however, they may cause significant physical impacts on the soil. Among the most noticeable of these effects are wheel ruts caused by logging vehicles. Such effects can disrupt the physical structure of the soil, increase the risk of erosion, and damage forest ecosystems. In this study, wheel rut depths formed during ground-based skidding operations were analyzed comparatively using both a manual measurement method and a 3D image-based method implemented via Unmanned Aerial Vehicles (UAVs). The fieldwork was conducted during a skidding operation in the Dağtekke Forest Enterprise Chief in the city of İzmir. Manual measurements were performed using a ruler and a lath along skidding trails. For image-based method, aerial images of the study area were captured using UAV, and then used to generate Digital Surface Model (DSM). The results obtained from both methods were compared using correlation analysis and paired sample t-tests. The findings showed a high correlation between manual method and UAV-assisted method, indicating that UAV photogrammetry offers a fast and reliable alternative for rut depth monitoring. The UAV-derived measurements of rut depth showed a high level of accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 16.86%. This study presents a novel application of UAV-based method for high-resolution, remote measurement of rut depth. It offers a cost-effective alternative to traditional methods while providing valuable insights into assessing the environmental impacts of mechanical equipment in forestry operations.
KW  - Environmental impact
KW  - soil disturbance
KW  - rut depth
KW  - remote sensing
KW  - UAV photogrammetry
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UR  - https://doi.org/10.33904/ejfe.1751349
L1  - https://dergipark.org.tr/en/download/article-file/5092478
ER  -