Yazar "Ozturk, Tolga" seçeneğine göre listele

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    Impact assessment of log skidding on soil condition of skid roads during ground-based logging in a plantation forest in Istanbul, Turkey
    (Univ Austral Chile, Fac Ciencias Forestales, 2017) Ozturk, Tolga; Sevgi, Orhan; Akay, Abdullah Emin
    Ground-based logging operation is potentially one of the major soil-disturbing activities that cause soil displacement, rutting depth and soil compaction. Thus, logging operations should be carefully planned considering the factors that influence soil disturbance. In this study, soil displacement and rutting on the skid roads caused by a farm tractor during a logging operation were investigated in maritime pine (Pinus pinaster) plantation forest of Istanbul, Turkey. After each tractor pass, field measurements were performed on the selected cross sections that were established at 15 m intervals along a designated skid road. Soil disturbance caused by both rubber-tires and skidded logs was considered in this study. It was found that the average volume of soil displacement was 0.060 m(2) m(-1) along skid road. It was also found that the rut depth on skid road became significant after 5th, 10th, 15th, 20th and 30th passes, reaching an average of 4.0, 7.2, 8.7, 9.8 and 10.5 cm, respectively. Results indicated that soil displacement and rut depth increased as the number of tractor passes increased.
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    Usage opportunities of generating digital elevation model with unmanned aerial vehicles on forestry
    (Istanbul Univ, 2016) Akgul, Mustafa; Yurtseven, Huseyin; Demir, Murat; Akay, Abdullah Emin; Gulci, Sercan; Ozturk, Tolga
    Unmanned Aerial Vehicles (UAVs) are sustained in flight by aerodynamic lift and guided without an onboard crew, they may be expandeble or recoverable and can fly autonomously or semiautonomously. Within the scope of study, new generation series autonomous UAV brand which is Trimble UX5 is used for generating high accuracy digital model model and obtaining high accuracy image in Istanbul University research and application forest. These obtained images are evaluated with photogrammetry software Trimble Business Center (TBC) v3. 1. In this study it was determined that we can obtan high accuracy data image resolution from 2.4 cm to 24 cm depending on the flight altitude with UAV. It was concluded that UAV systems can contribute in forestry work yo obtain sensitive data because of there is no other high accuracy data such as LIDAR. And lack of trained personnel in UAV flights is disadvantages. In this study, UAV and it's systems were evaluated and tested in all steps. It was expected that geographic information data which requiered forestry applications, can be easly be obtain with UAV. When digital surface model (DSM) data was assessed comprehensively, it was concluded that the data which obtained from UAV systems are more cheaper, productive and from LIDAR and IFSAR data. At the same time UAV data are relatively sensitive such LIDAR and IFSAR.