AVRASYA 10TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, Tbilisi, Gürcistan, 3 - 05 Mayıs 2024, ss.20
Assessing the spatial distribution of rockfalls is crucial for identifying the susceptible zones and determining appropriate locations for implementing preventative measures. In this study, rockfall events that occurred on the Ankara Zir Valley slopes were studied using unmanned aerial vehicles (UAVs). In this context, two different aerial images were collected for time interval of more than a year with professional UAVs for three-dimensional (3D) change detection. Using these images, dense point clouds were extracted with the structure from motion (SfM) technique, and 3D change analysis was performed employing these point clouds with a multi-scale model-to-model comparison (M3C2) approach. Consequently, the aim was to determine the spatial distribution of susceptible rockfall areas. According to the results of the change analysis for the study area, no significant block movements were identified between 2022 and 2023. However, micro changes were observed. These changes are important data for the stability assessment of the study area. In order to effectively control the block movements on the Zir Valley slopes and mitigate potential damages, it has been revealed regular 3D change detection study. This analysis is essential in order to carry out an integrated protection approach within a continuous risk management plan.