Close-Range Photogrammetry for Non-intrusive Prediction of Geohazards: Landslides
International Workshop on Advances in Laboratory Testing of Liquefiable Soils and Nature Inspired Solutions for the Built Environment Conference, ISSMGE-TC101 and NISE 2022, Kyrenia, Cyprus (Gkry), 16 - 17 September 2022, pp.100-109, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1007/978-3-031-51951-2_9
- City: Kyrenia
- Country: Cyprus (Gkry)
- Page Numbers: pp.100-109
- Keywords: Close range photogrammetry (CRP), FEM, Monitoring, Retaining wall, Unmanned aerial vehicle (UAV)
- Middle East Technical University Northern Cyprus Campus Affiliated: Yes
Abstract
In recent years, the number of monitoring techniques developed for management of natural and engineered ground systems such as slopes, embankments, and retaining walls has significantly in-creased. The current study examines a slope stability problem near Kyrenia Castle, a 7th century castle located in Northern Cyprus. The landslide and accompanying reinforced concrete/stone walls, constructed for rehabilitation purposes, are monitored for a period of two years. The current condition of the site is back-analysed using the finite element method (FEM) as a conventional analysis. To detect changes over time, close-range photogrammetry (CRP) is employed using photographs taken with an unmanned aerial vehicle (UAV) to generate a dense cloud model. The results demonstrate the compatibility of the CRP with FEM, making the technique a viable and efficient option for various engineered and natural ground systems. CRP is proved fast, cost-effective, sustainable, and non-destructive.