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Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)

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  • Sanja Bernat Gazibara
  • Martin Krkač
  • Snježana Mihalić Arbanas

Abstract

Landslides in the Podsljeme area of the City of Zagreb cause significant economic losses, which have been increasing over the last several decades due to the urbanisation of hilly areas and the influence of climate changes. An airborne LiDAR digital terrain model (DTM) with a spatial resolution of 30 × 30 cm was used to prepare a landslide inventory map of the pilot area (21 km2) with more than 700 identified landslides. The area of the smallest identified landslide is 43 m2, while 90% of the landslides are between 100 and 2,000 m2. The frequency–size distribution of all mapped landslides in the pilot area shows a very high level of landslide inventory completeness. Therefore, it is concluded that the LiDAR-based terrain model is a valuable tool for the preparation of detailed landslide inventories in heavily vegetated regions such as the hilly area of Medvednica Mt.

Suggested Citation

  • Sanja Bernat Gazibara & Martin Krkač & Snježana Mihalić Arbanas, 2019. "Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)," Journal of Maps, Taylor & Francis Journals, vol. 15(2), pages 773-779, July.
  • Handle: RePEc:taf:tjomxx:v:15:y:2019:i:2:p:773-779
    DOI: 10.1080/17445647.2019.1671906
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    Cited by:

    1. Kemal Hacıefendioğlu & Gökhan Demir & Hasan Basri Başağa, 2021. "Landslide detection using visualization techniques for deep convolutional neural network models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 329-350, October.
    2. Marko Sinčić & Sanja Bernat Gazibara & Martin Krkač & Hrvoje Lukačić & Snježana Mihalić Arbanas, 2022. "The Use of High-Resolution Remote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments," Land, MDPI, vol. 11(8), pages 1-37, August.

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