Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Comert, Resul(2)
- Abdullah, Rini Asnida(1)
- Abdulmuttalib, H.M.(1)
- Alemdag, Selçuk(1)
- Avdan, Ugur(1)
- Bilgilioglu, Burhan Baha(1)
- Di, K.(1)
- Faruque, F.S.(1)
- Gorum, Tolga(1)
- Honkavaara, E.(1)
- Jiang, J.(1)
- Junaid, Muhammad(1)
- Kaplan, Onur(1)
- Komp, K.(1)
- Kose, Oguz(1)
- Li, R.(1)
- Liang, X.(1)
- Mahmood, Sajid(1)
- Nefeslioglu, Hakan A.(1)
- Oktay, Tugrul(1)
- Osmanoglu, B.(1)
- Peled, A.(1)
- Rehman, Hafeezur(1)
- Rehman, Safi ur(1)
- Sari, Mahmut(1)
- Sa’ari, Radzuan(1)
- Scaioni, M.(1)
- Shaker, A.(1)
- Soergel, U.(1)
- Stilla, U.(1)
- Tanzi, J.J.(1)
- Ullah, Arshad(1)
- Wu, L.(1)
- Yoshimura, M.(1)
- Zeybek, Halil Ibrahim(1)
- Zhang, H.(1)
- Zhang, J.(1)
- Çömert, Resul(1)
- Özdemir, Samed(1)
Yayınlar
- MakaleYayıncıda açık erişim2025Discontinuity characterization for slope stability assessment using combined aerial photogrammetry, and geophysics approach
Junaid, Muhammad; Abdullah, Rini Asnida; Ullah, Arshad; Sa’ari, Radzuan; Mahmood, Sajid; Rehman, Hafeezur; Rehman, Safi ur; Sari, Mahmut
An expeditious and precise slope stability assessment approach is required to mitigate the personnel and economic losses due slope failure disaster. This study successfully determines various discontinuity properties such as degree of fracturing, discontinuities orientation and persistence using combine unmanned aerial vehicle (UAV) and 2D electrical resistivity tomography (2D ERT) to evaluate the stability of the slope. The discontinuity orientations govern the various modes of failure such as planar, wedge, and flexure toppling. Whereas the degree of fracturing of the rock mass evaluates the quality of the rock mass using Rock Quality Designation (RQD) index. In addition, the persistence is defined as the extent to which the discontinuity on exposed surface rock intruded inside the rock mass. The 3D point cloud from UAV images allows to obtain the discontinuity orientations to analyse the potential failure at the site. The upper portion of the slope has no risk of planar and wedge failure, whereas 20% of the discontinuities are favourable for flexure toppling. In contrast, at the lower section of the slope 1.04%, 4.86% and 20% discontinuities are prone to planar, wedge and flexure failure respectively. At the same time the RQD index obtained via UAV survey reveals that the respectively area covered by very poor, poor, fair, good, and excellent rock were 7 m2, 3904 m2, 38,775 m2, 42,943 m2, 1546 m2. The ERT survey enable to estimate the area covered by poor, fair, good and excellent rock were 4 m2, 1650 m2, 2592 m2, 27,729 m2, and 55,200 m2, respectively. Both the UAV and 2D ERT survey shows the poor-quality rock in the north-east of the slope that reveals that the discontinuities are extended inside the rock mas. This study, therefore, conclude that the combined 2D ERT and UAV approach is efficient and expeditious approach for comprehensive slope stability assessment.
- MakaleAçık Erişim20233D data integration for geo-located cave mapping based on unmanned aerial vehicle and terrestrial laser scanner data
Çömert, Resul; Özdemir, Samed; Bilgilioglu, Burhan Baha; Alemdag, Selçuk; Zeybek, Halil Ibrahim
The Akçakale cave is a significant natural and cultural heritage site in the Black Sea region of eastern Turkey. The complex geometry and difficult-to-access areas of the cave have made the use of traditional mapping methods challenging. To overcome these limitations, this study utilized TLS and UAV technology to produce highly accurate 2D and 3D data for cave management and risk assessment purposes. The TLS system was used to create a detailed 3D point cloud of the cave interior, while the UAV system generated a 3D model of the surface topography outside the cave. The two sets of data were combined in the GIS environment using a geodetic network established in the study area, providing a common geodetic reference system for both TLS and UAV data. The study found that the cave area is 13,750 m2, which is smaller than the area of 18,000 m2 that was previously estimated using conventional measurement methods. The volume and ceiling heights of the cave were calculated using the elevation models generated from TLS point cloud data. The 3D point cloud data were also used to map dripstone locations on the floor and ceiling of the cave, and the boundaries of rock blocks on the ground were precisely determined. The study identified potential risks associated with the cave, particularly the risk of rockfall in the source rock areas around the cave entrance and the southern part of the cave. The nearest building to the cave is approximately 35 meters away, and all the buildings in the area are less than 300 meters from the cave. In the event of the cave collapse, the buildings in the southern part of the cave are at risk of rockfall. This study demonstrates the effectiveness of combining data from TLS and UAV systems to generate broad and sensitive cave mapping and risk assessment data, which are critical for cave management and safety. The collected data can be used for cave stability investigations and rockfall risk assessments. This study provides a foundation for future explorations of the Akcakale cave and highlights the potential for modern surveying techniques to enhance our understanding of complex geological structures such as caves.
- MakaleYalnız künye2022Hexarotor Yaw Flight Control with SPSA, PID Algorithm and Morphing
Kose, Oguz; Oktay, Tugrul
In recent years, the interest in unmanned aerial vehicles (UAV) has increased. They have penetrated into all areas of life. However, studies on UAV control have been a frequently discussed topic by researchers. In this study, a hexarotor in which yaw flight is tried to be controlled by changing the arm lengths during flight (morphing) is discussed. The hexarotor mathematical model is linearly derived using Newton's equations of motion. The equations of motion are modeled using the state space model approach. Hexarotor has been drawn in Solidworks program in accordance with the reality of all morphing states. Morphing estimation and accordingly proportional-integral-derivative (PID) coefficients were estimated using Simultaneous Perturbation Stochastic Approximation (SPSA). SPSA was preferred because it converged to the optimum result faster than similar algorithms. Hexarotor simulations were performed in Matlab/Simulink environment. Hexarotor yaw flight stability was achieved by minimizing the SPSA generated cost function based on design performance criteria. The cost function converged in 3-4 iterations and approached the optimum result. Accordingly, the design performance criteria have also improved and successfully followed the given trajectory.
- MakaleYalnız künye2019Mapping of shallow landslides with object-based image analysis from unmanned aerial vehicle data
Comert, Resul; Avdan, Ugur; Gorum, Tolga; Nefeslioglu, Hakan A.
The Black Sea Region of Turkey is one of the most landslide prone areas due to its high slope topography, heavy rainfall, and highly weathered hillslope material conditions. Preparation of landslide inventory maps is the first step in producing landslide susceptibility maps. Ground-based methods for mapping landslide occurrences are time-consuming and expensive. Additionally, landslide mapping based on satellite imageries and aerial photographs has some limitations, including climatic conditions, cost, and limited repetitive measurement capacity. Visual interpretation-based landslide mapping, which is based on satellite imageries and aerial photographs, is a time-consuming procedure that requires an experience-based expert opinion. Therefore, the data acquisition based on unmanned aerial vehicle (UAV) and landslide event inventory maps using an object-based classification approach can be superior to other methods in terms of speed and cost. In this study, we developed a semiautomatic model using object-based image analyses for rapid mapping of shallow landslides from the data obtained from UAVs after major landslide events in the Black Sea Region of Turkey. For this purpose, two test sites—Kurucasile (Bartin) and Cayeli (Rize)—were selected. Landslide mapping models were developed in the investigation sites, and the performance of the models was evaluated. The landslides' data obtained with the developed models were compared to the landslides' data produced by the experts. The comparison process revealed that landslides mapped by using UAV data have an accuracy rate higher than 86% according to the number of landslides and 83% according to the landslide area.
- BildiriAçık Erişim2018OBJECT BASED BUILDING EXTRACTION and BUILDING PERIOD ESTIMATION from UNMANNED AERIAL VEHICLE DATA
Comert, Resul; Kaplan, Onur; Honkavaara, E.; Komp, K.; Stilla, U.; Jiang, J.; Zhang, H.; Peled, A.; Soergel, U.; Scaioni, M.
The aim of this study is to examine whether it is possible to estimate the building periods with respect to the building heights in the urban scale seismic performance assessment studies by using the building height retrieved from the unmanned aerial vehicle (UAV) data. For this purpose, a small area, which includes eight residential reinforced concrete buildings, was selected in Eskisehir (Turkey) city center. In this paper, the possibilities of obtaining the building heights that are used in the estimation of building periods from UAV based data, have been investigated. The investigations were carried out in 3 stages; (i) Building boundary extraction with Object Based Image Analysis (OBIA), (ii) height calculation for buildings of interest from nDSM and accuracy assessment with the terrestrial survey. (iii) Estimation of building period using height information. The average difference between the periods estimated according to the heights obtained from field measurements and from the UAV data is 2.86 % and the maximum difference is 13.2 %. Results of this study have shown that the building heights retrieved from the UAV data can be used in the building period estimation in the urban scale vulnerability assessments.