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

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 3...

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Main Authors: Sanja Bernat Gazibara, Martin Krkač, Snježana Mihalić Arbanas
Format: Article
Language:English
Published: Taylor & Francis Group 2019-07-01
Series:Journal of Maps
Subjects:
Online Access:http://dx.doi.org/10.1080/17445647.2019.1671906
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spelling doaj-dbc313c292944a4a8d234f2960cb94a12020-11-25T04:09:45ZengTaylor & Francis GroupJournal of Maps1744-56472019-07-0115277377910.1080/17445647.2019.16719061671906Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)Sanja Bernat Gazibara0Martin Krkač1Snježana Mihalić Arbanas2Faculty of Mining, Geology and Petroleum Engineering, University of ZagrebFaculty of Mining, Geology and Petroleum Engineering, University of ZagrebFaculty of Mining, Geology and Petroleum Engineering, University of ZagrebLandslides 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.http://dx.doi.org/10.1080/17445647.2019.1671906landslideslidarmappingpodsljeme areazagreb
collection DOAJ
language English
format Article
sources DOAJ
author Sanja Bernat Gazibara
Martin Krkač
Snježana Mihalić Arbanas
spellingShingle Sanja Bernat Gazibara
Martin Krkač
Snježana Mihalić Arbanas
Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)
Journal of Maps
landslides
lidar
mapping
podsljeme area
zagreb
author_facet Sanja Bernat Gazibara
Martin Krkač
Snježana Mihalić Arbanas
author_sort Sanja Bernat Gazibara
title Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)
title_short Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)
title_full Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)
title_fullStr Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)
title_full_unstemmed Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)
title_sort landslide inventory mapping using lidar data in the city of zagreb (croatia)
publisher Taylor & Francis Group
series Journal of Maps
issn 1744-5647
publishDate 2019-07-01
description 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.
topic landslides
lidar
mapping
podsljeme area
zagreb
url http://dx.doi.org/10.1080/17445647.2019.1671906
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