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

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Proceedings of ISSMGE TC101—Advanced Laboratory Testing & Nature Inspired Solutions in Engineering (NISE) Joint Symposium (ISSMGE-TC101&NISE 2022)

Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

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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.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Near East University, 99138, Mersin 10, Turkey

    Mehrdad Nategh & Anoosheh Iravanian

  2. Department of Civil Engineering, Aalto University, Espoo, Finland

    Anoosheh Iravanian

  3. Civil Engineering Program, Middle East Technical University, Kalkanli, Guzelyurt, North Cyprus, via Mersin 10, Turkey

    Abdullah Ekinci

Authors
  1. Mehrdad Nategh
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  2. Anoosheh Iravanian
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  3. Abdullah Ekinci
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Corresponding author

Correspondence to Abdullah Ekinci .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, Middle East Technical University, Ankara, Türkiye

    Kemal Onder Cetin

  2. Civil Engineering Program, Middle East Technical University, Guzelyurt, Türkiye

    Abdullah Ekinci

  3. Department of Civil Engineering, Eastern Mediterranean University, Famagusta, Türkiye

    Eris Uygar

  4. Department of Engineering and Construction, University of East London, London, UK

    Arya Assadi Langroudi

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Nategh, M., Iravanian, A., Ekinci, A. (2024). Close-Range Photogrammetry for Non-intrusive Prediction of Geohazards: Landslides. In: Cetin, K.O., Ekinci, A., Uygar, E., Langroudi, A.A. (eds) Proceedings of ISSMGE TC101—Advanced Laboratory Testing & Nature Inspired Solutions in Engineering (NISE) Joint Symposium. ISSMGE-TC101&NISE 2022. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-031-51951-2_9

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  • DOI: https://doi.org/10.1007/978-3-031-51951-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51950-5

  • Online ISBN: 978-3-031-51951-2

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