Abstract

Data on landslide locations in the Podsljeme area can be found in three historical landslide inventory maps. Inventory maps from 1979 and 2007 are made based on geomorphological field mapping and historical records while an inventory map from 2017, compiled for the study area (21 km2), is based on LiDAR data acquired in December 2013. A comparison of three landslide inventory maps was performed with three tests based on landslide statistics, frequency-area distribution, geographical discrepancy of landslides and landslide density maps. The results show significant differences in the number of identified landslides as well as in the size and distribution of landslides. A comparison of inventories also showed the unreliability of the existing historical inventories and usefulness of LiDAR data for preparation of complete landslide inventory maps. LiDAR-based inventory for the Podsljeme area could be a valuable tool for a wide range of users i.e., decision-makers, land developers and environmental and civil defense agencies. It is also necessary for landslide susceptibility and hazard mapping, which is a prerequisite for landslide risk reduction.

Highlights

  • Landslides are defined as the movement of a mass of rock, debris, or earth down a slope (Cruden, 1991) and play an important role in the evolution of landscapes

  • This paper presents a comparison of two historical landslide inventories from the Podsljeme area with LiDAR-based landslide inventory compiled for the study area (Bernat Gazibara et al, 2017b)

  • Historical landslide inventory maps from 1979 in a 1:10,000 scale and from 2007 in a 1:5,000 scale are the result of geomorphological field mapping

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Summary

Introduction

Landslides are defined as the movement of a mass of rock, debris, or earth down a slope (Cruden, 1991) and play an important role in the evolution of landscapes. The term “landslide” describes a wide variety of processes that result in the downward and outward movement of slope-forming materials including rock, soil, artificial fill, or a combination of these. Systematic information on the type, abundance, and distribution of landslides in the form of inventory is the preliminary step toward landslide susceptibility, hazard, and risk assessment (Mihalić Arbanas and Arbanas, 2014; Reichenbach et al, 2018). Another purpose of landslide inventory maps is the information about landslide statistics, which includes the analyses of the landslide area, shape, and location. Malamud et According to van Westen et al (2008), landslide inventories can be prepared using a variety of techniques: (1) interpretation of aerial photographs, satellite images, LiDAR (Light Detection and Ranging) shades relief maps and radar images, (2) (semi) automated classification based on spectral characteristics, (3) (semi) automated classification based on altitude characteristics, (4) field investigation methods. (5) archive studies, (6) dating methods for landslides, and (7) monitoring networks

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