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    Assessing Rut Depth Formation in a Skidding Operation Using UAV Photogrammetry
    (Forest Engineering and Technologies Platform, 2025) Büyüksakallı, Halit; Tas, İnanç; Akay, Abdullah Emin
    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. © (2025), (Forest Engineering and Technologies Platform). All rights reserved.
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    Assessing Two Decades of Land Use/Land Cover Changes in the Uluabat Lake Ramsar Site using Satellite Imagery
    (Forest Engineering and Technologies Platform, 2024) Kilincarslan, Emre; Gencal, Burhan; Tas, İnanç
    The Ramsar Convention on Wetlands designates over 2,000 sites of international importance, providing crucial habitats for diverse species. Uluabat Lake faces anthropogenic pressures such as urbanization, agriculture, and industrialization, affecting its ecological integrity. The land use/land cover (LULC) changes in the lake's catchment area were assessed using multi-temporal Landsat 7 and Landsat 9 satellite images from 2002 and 2022, along with 2019 management plans. Data were pre-processed with ENVI and stored in ERDAS Imagine program. Then, pixel-based image analysis with maximum likelihood classification (MLC) was employed to generate LULC maps and evaluated classification accuracy using ground truth data and the kappa coefficient. The results revealed a 15.8% reduction in lake area, from 136.1 km2 in 2002 to 114.5 km2 in 2022, primarily due to sediment transport from surrounding agricultural land and tributary streams. Urban-agricultural and reed-swamp areas increased by 74.7% and 59.6%, respectively, while shrubs and forests declined by 35.64%, largely from reed conversion to agriculture in the Mustafakemalpaşa River delta. Overall classification accuracy ranged from 88.2% to 91% with a kappa coefficient of 0.81 to 0.82, respectively. These transformations highlight the increase in reed and swamp areas and the decrease in lake area, emphasizing the need for effective conservation and management practices. © Copyright 2024 by Forest Engineering and Technologies Platform on-line at https://dergipark.org.tr/en/pub/ejfe.