Yazar "Yurtseven, Huseyin" seçeneğine göre listele

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    Evaluation of UAV- and GNSS-Based DEMs for Earthwork Volume
    (Springer Heidelberg, 2018) Akgul, Mustafa; Yurtseven, Huseyin; Gulci, Sercan; Akay, Abdullah Emin
    Road planning and construction is a complex and time consuming process. One of the most important components in this process is estimating earthwork. Resolution of DEM, which is commonly used in road planning stage, directly affects success of earthworks estimation and construction costs. Within the scope of this study, capabilities of two different data collection systems (UAV and GNSS) were compared for DEM generation. In the study, two sets of DEMs of Bursa Technical University Kestel campus area were produced using both UAV- and GNSS-based methods. Then, cut and fill volumes were compared with considering UAV-based DEM and GNSS-based DEM depending on reference plane for three different roads. According to NRTK-GNSS-based surveying results, point density was obtained as 35 point/ha, while UAV-based surveying point density was computed as point/ha. Using UAV-based DEM as a reference plane, it was found that the volumes of excavations and embankments were very close to each other when the average excavation per unit (i.e., 1 m) road length was calculated.
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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.