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2024 | OriginalPaper | Buchkapitel

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

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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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Metadaten
Titel
Close-Range Photogrammetry for Non-intrusive Prediction of Geohazards: Landslides
verfasst von
Mehrdad Nategh
Anoosheh Iravanian
Abdullah Ekinci
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-51951-2_9