Makaleler

2024

1. Akinci, H. A., Akinci, H., & Zeybek, M. (2024). Comparison of Diverse Machine Learning Algorithms for Forest Fire Susceptibility Mapping in Antalya, Türkiye. Advances in Space Research.https://doi.org/10.1016/j.asr.2024.04.018

2023

1. Yavuz Ozalp, A., Akinci, H., & Zeybek, M. (2023). Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey. Water, 15(14), 2661.
2. Zeybek, M., Taşkaya, S., Elkhrachy, I., & Tarolli, P. (2023). Improving the Spatial Accuracy of UAV Platforms Using Direct Georeferencing Methods: An Application for Steep Slopes. Remote Sensing, 15(10), 2700. Link
3. Vatandaşlar, C. Seki, M., Zeybek, M. (2023) Assessing the potential of mobile laser scanning for stand-level forest inventories in near-natural forests, Forestry: An International Journal of Forest Research. Link
4. Zeybek, M., & Biçici, S. (2023). Road surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear model. Measurement Science and Technology. Link

2022

1. VATANDAŞLAR, C., ZEYBEK, M., ÇANKAYA, E. Ç., DEMİRASLAN, T., ŞAHİN, C., GÜNDÜZ, Y., ... & AVCI, M. L. (2022). El tipi mobil LiDAR teknolojisinin orman envanterlerinde kullanımı: Artvin-Şavşat örneği. Ormancılık Araştırma Dergisi, 9(1), 81-96. Link
2. Biçici, S., & Zeybek, M. (2022, March). Improvements on road centerline extraction by combining voronoi diagram and intensity feature from 3d uav-based point cloud. In Innovations in Smart Cities Applications Volume 5: The Proceedings of the 6th International Conference on Smart City Applications (pp. 935-944). Cham: Springer International Publishing. Link
3. Vatandaşlar, C., Zeybek, M., & Borucu, S. (2022) Mobil LiDAR ile Orman Envanterlerinde Farklı Örnekleme Tasarımlarının Veri Hassasiyeti ve İş Verimliliğine Etkisi: Rize Şenyuva Örneği. Bartın Orman Fakültesi Dergisi, 24(2), 258-271.Link
4. Ozdarici-Ok, A., Ok, A. O., Zeybek, M., & Atesoglu, A. (2022). Automated extraction and validation of Stone Pine (Pinus pinea L.) trees from UAV-based digital surface models. Geo-spatial Information Science, 1-21.Link
5. Zeybek, M., & Ediz, D. (2022). Detection of Road Distress with Mobile Phone LiDAR Sensors. Advanced LiDAR, 2(2), 48-53.Link
6. Demirarslan, K. O., & Zeybek, M. (2022). Conventional air pollutant source determination using bivariate polar plot in Black Sea, Turkey. Environment, Development and Sustainability, 24(2), 2736-2766. Link
7. Zeybek, M., & Biçici, S. (2022) Automated Extraction of Road Information from UAV-based Data The Benefits of Airborne Technology in Urban Projects. GIM Link
8. Zeybek, M., & Biçici, S. (2022). Investigation of landslide-based road surface deformation in mountainous areas with single period UAV data. Geocarto International, 1-27.Link
9. ZEYBEK, M. (2022). Havasal LiDAR Nokta Bulutlarından Kentsel Yol Ağlarının Çıkarımı, Bergama Test Alanı. Türkiye Lidar Dergisi, 4(2), 53-59. Link

2021

1. Akinci, H., Zeybek, M., & Dogan, S. (2021). Evaluation of landslide susceptibility of Şavşat District of Artvin Province (Turkey) using machine learning techniques. In Landslides. IntechOpen. Link