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Regional-Scale Landslide Susceptibility Mapping Using Limited LiDAR-Based Landslide Inventories for Sisak-Moslavina County, Croatia

Author

Listed:
  • Iris Bostjančić

    (Department of Hydrogeology and Engineering Geology, Croatian Geological Survey, Sachsova 2, 10000 Zagreb, Croatia)

  • Marina Filipović

    (Department of Hydrogeology and Engineering Geology, Croatian Geological Survey, Sachsova 2, 10000 Zagreb, Croatia)

  • Vlatko Gulam

    (Department of Hydrogeology and Engineering Geology, Croatian Geological Survey, Sachsova 2, 10000 Zagreb, Croatia)

  • Davor Pollak

    (Department of Hydrogeology and Engineering Geology, Croatian Geological Survey, Sachsova 2, 10000 Zagreb, Croatia)

Abstract

In this paper, for the first time, a regional-scale 1:100,000 landslide-susceptibility map (LSM) is presented for Sisak-Moslavina County in Croatia. The spatial relationship between landslide occurrence and landslide predictive factors (engineering geological units, relief, roughness, and distance to streams) is assessed using the integration of a statistically based frequency ratio (FR) into the analytical hierarchy process (AHP). Due to the lack of landslide inventory for the county, LiDAR-based inventories are completed for an area of 132 km 2 . From 1238 landslides, 549 are chosen to calculate the LSM and 689 for its verification. Additionally, landslides digitized from available geological maps and reported via the web portal “Report a landslide” are used for verification. The county is classified into four susceptibility classes, covering 36% with very-high and high and 64% with moderate and low susceptibility zones. The presented approach, using limited LiDAR data and the extrapolation of the correlation results to the entire county, is encouraging for primary regional-level studies, justifying the cost-benefit ratio. Still, the positioning of LiDAR polygons prerequires a basic statistical analysis of predictive factors.

Suggested Citation

  • Iris Bostjančić & Marina Filipović & Vlatko Gulam & Davor Pollak, 2021. "Regional-Scale Landslide Susceptibility Mapping Using Limited LiDAR-Based Landslide Inventories for Sisak-Moslavina County, Croatia," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4543-:d:539100
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    References listed on IDEAS

    as
    1. Michel Jaboyedoff & Thierry Oppikofer & Antonio Abellán & Marc-Henri Derron & Alex Loye & Richard Metzger & Andrea Pedrazzini, 2012. "Use of LIDAR in landslide investigations: a review," 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. 61(1), pages 5-28, March.
    2. Suhua Zhou & Guangqi Chen & Ligang Fang & Yunwen Nie, 2016. "GIS-Based Integration of Subjective and Objective Weighting Methods for Regional Landslides Susceptibility Mapping," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
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    Cited by:

    1. Yigen Qin & Genlan Yang & Kunpeng Lu & Qianzheng Sun & Jin Xie & Yunwu Wu, 2021. "Performance Evaluation of Five GIS-Based Models for Landslide Susceptibility Prediction and Mapping: A Case Study of Kaiyang County, China," Sustainability, MDPI, vol. 13(11), pages 1-20, June.
    2. Michael Makonyo & Zahor Zahor, 2023. "GIS-based analysis of landslides susceptibility mapping: a case study of Lushoto district, north-eastern Tanzania," 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. 118(2), pages 1085-1115, September.
    3. S. Rolain & M. Alvioli & Q. D. Nguyen & T. L. Nguyen & L. Jacobs & M. Kervyn, 2023. "Influence of landslide inventory timespan and data selection on slope unit-based susceptibility 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. 118(3), pages 2227-2244, September.

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