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Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia

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Understanding and Reducing Landslide Disaster Risk (WLF 2020)

Abstract

The paper presents results of identification and mapping of the Prnjavor Čuntićki landslide reactivated in March 2018 due to intensive rainfalls in Croatia. The described investigations included conventional landslide field mapping and visual mapping using high resolution digital terrain model derived from data captured by Unmanned Aerial Vehicle (UAV) and Structure from Motion (SfM). Identification of landslide contours and topography enabled back slope stability analysis that resulted in preliminary landslide model. The research results imply reactivation of large part of fossil landslide (about 25% of landslide area) and high risk due to potential damaging of houses and local road. Preliminary interpretation of landslide mechanism will be used for planning of landslide monitoring and early warning system.

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References

  • Bernat Gazibara S, Cindrić Kalin K, Erak M, Krkač M, Đomlija P, Arbanas Ž, Mihalić Arbanas S (2019a) Landslide hazard analysis in national-scale for landslide risk assessment in Croatia. In: Proceedings of the 4th regional symposium on landslides in the Adriatic-Balkan region, 23–25 Oct 2019, Sarajevo, BIH, pp 175–182

    Google Scholar 

  • ISRM (2007) The complete ISRM suggested methods for rock characterization, testing and monitoring: 1974–2006. In: Ulsay R, Hudson J (eds) Suggested methods prepared by the commission on testing methods. International Society for Rock Mechanics, Compilation Arranged by the ISRM Turkish National Group, Ankara, 628p

    Google Scholar 

  • Matsui T, San K-C (1992) Finite element slope stability analysis by shear strength reduction technique. Soils Found 32(1):59–70

    Article  Google Scholar 

  • Mihalić Arbanas S, Sečanj M, Bernat Gazibara S et al (2017) Landslides in the Dinarides and Pannonian Basin—from the largest historical and recent landslides in Croatia to catastrophic landslides caused by Cyclone Tamara (2014) in Bosnia and Herzegovina. Landslides 14:1861–1876

    Article  Google Scholar 

  • Pikija M, Basch O, Šimunić A, Šikić K, Marinčić S (1987) Guideline for Sisak Sheet L 33–93 of the Basic Geological Map 1:100,000. Federal Geological Survey, Belgrade, Yugoslavia, 52p (In Croatian)

    Google Scholar 

  • Pix4D (2020) Step 1. Before starting a project > 4. Getting GCPs on the field or through other sources (optional but recommended). https://support.pix4d.com/hc/en-us/articles/202557489-Step-1-Before-Starting-a-Project-4-Getting-GCPs-on-the-field-or-through-other-sources-optional-but-recommended. Last accessed 1 Apr 2020

  • Rocscience (2018) RS2 tutorial. www.rocscience.com/help/slide2/#t=tutorials%2FSlide_Tutorials.htm. Last accessed 01 Mar 2020

  • Zhang W, Qi J, Wan P, Wang H, Xie D, Wang X, Yan G (2016) An easy-to-use airborne LiDAR data filtering method based on cloth simulation. Remote Sens 8(6):501–523

    Article  Google Scholar 

Download references

Acknowledgements

The research presented in this paper was supported by EU funds, EFRR/KF/ESF Fund in the framework of the Project No. 05.1.1.02.0020 entitled “Applied landslide investigation for development of landslide mitigation measures and risk prevention” (PRI-MJER). The authors also want to thank to the anonymous Reviewer for his constructive comments.

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Correspondence to Snježana Mihalić Arbanas .

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Damjanović, V. et al. (2021). Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia. In: Guzzetti, F., Mihalić Arbanas, S., Reichenbach, P., Sassa, K., Bobrowsky, P.T., Takara, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60227-7_9

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