Close-Range Photogrammetry for Non-intrusive Prediction of Geohazards: Landslides


Nategh M., Iravanian A., Ekinci A.

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 identifier

  • 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 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.