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

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.

[1]  Identification and Mapping of Shallow Landslides in the City of Zagreb (Croatia) Using the LiDAR–Based Terrain Model , 2017 .

[2]  Ž. Arbanas,et al.  The Croatian–Japanese Joint Research Project on Landslides: Activities and Public Benefits , 2013 .

[3]  S. M. Arbanas,et al.  Inventory of Precipitation Triggered Landslides in the Winter of 2013 in Zagreb (Croatia, Europe) , 2014 .

[4]  T. Glade,et al.  Effectiveness of visually analyzing LiDAR DTM derivatives for earth and debris slide inventory mapping for statistical susceptibility modeling , 2016, Landslides.

[5]  David M. Cruden,et al.  LANDSLIDE TYPES AND PROCESSES , 1958 .

[6]  William H. Schulz,et al.  Landslide susceptibility revealed by LIDAR imagery and historical records, Seattle, Washington , 2007 .

[7]  Aloysius Wehr,et al.  Airborne laser scanning—an introduction and overview , 1999 .

[8]  P. Reichenbach,et al.  Comparing landslide inventory maps , 2008 .

[9]  Alexander Brenning,et al.  Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps , 2016 .

[10]  F. Ackermann.  Airborne laser scanning : present status and future expectations , 1999 .

[11]  P. Reichenbach,et al.  Comparing Landslide Maps: A Case Study in the Upper Tiber River Basin, Central Italy , 2000, Environmental management.

[12]  D. Turcotte,et al.  Landslide inventories and their statistical properties , 2004 .

[13]  G. Wieczorek,et al.  Preparing a Detailed Landslide-Inventory Map for Hazard Evaluation and Reduction , 1984 .

[14]  Andrija Bognar.  Geomorfološka regionalizacija Hrvatske , 2001 .

[15]  F. Guzzetti,et al.  Landslide inventory maps: New tools for an old problem , 2012 .

[16]  I. Hećimović,et al.  Middle Miocene (Upper Badenian/Sarmatian) Palaeoecology and Evolution of the Environments in the Area of Medvednica Mt. (North Croatia) , 2006, Geologia Croatica.

[17]  Jan Nyssen,et al.  Use of LIDAR‐derived images for mapping old landslides under forest , 2007 .

[18]  S. M. de Jong,et al.  Airborne laser scanning of forested landslides characterization: terrain model quality and visualization , 2011 .

[19]  H. Petschko,et al.  Assessment of landslide age, landslide persistence and human impact using airborne laser scanning digital terrain models , 2012 .

[20]  Rachel Opitz,et al.  Airborne Laser Scanning , 2013 .

[21]  P. Reichenbach,et al.  Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar , 2007 .

[22]  S. M. Arbanas,et al.  Landslides Triggered in the Continental Part of Croatia by Extreme Precipitation in 2013 , 2015 .