Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)

Scientific paper - Original scientific paper

• Author: Martin Krkač
• Author: Sanja Bernat Gazibara
• Author: Marko Sinčić
• Author: Hrvoje Lukačić
• Author: Snježana Mihalić Arbanas
• Author's institution: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering; (Department of Geology and Geological Engineering)
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Geology

Abstract (english)

This paper presents a result of landslide inventory mapping at the Bednja Municipality and Lepoglava City study area in Hrvatsko Zagorje region, NW Croatia. The landslides were interpreted from the high resolution (30 cm) digital elevation model (DEM) and its derivatives (slope and contour map, hillshade). The DEM was interpolated from the point cloud obtained by airborne laser scanning undertaken in spring 2020. In the study area of 20.22 km2, the total number of interpreted landslides is 912, making the average density of 45.1 ls/km2. The average size of the recorded landslides is 448 m2. According to the spatial plans, most of the studied area is covered by forests, agricultural areas, pastures, and artificial areas. The highest density of landslides is also in the forest areas, while the lowest is in the artificial areas. Furthermore, almost 64% of the mapped landslides are located within 50 m of the roads, and more than 39% of the mapped landslides are located within 100 m of the buildings and residential houses. Due to the level of detail provided and its completeness, the presented landside inventory map is an important tool for risk management at the local level because it gives detailed information necessary for risk evaluation as well as to decide about feasible options for risk mitigation, e.g., stabilisation measures vs relocation of the development to a more favourable location.

• Keywords (english): landslide inventory; LiDAR; high-resolution DEM; land use
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Publication title: Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region
• Numbering: pp. 81-86
• ISBN: 978-953-6953-55-4 (Faculty of Civil Engineering, University of Rijeka)
• ISBN: 978-953-6953-56-1 (eBook, Faculty of Civil Engineering, University of Rijeka)
• ISBN: 978-953-6923-47-2 (Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb)
• ISBN: 978-953-6923-46-5 (eBook, Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb)
• URN:NBN: urn:nbn:hr:169:602859
• Publication: 2022
• Project: Number: IP-2019-04-9900; Title (croatian): Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije; Title (english): Methodology development for landslide susceptibility assessment for land-use planning based on LiDAR technology; Acronym: LandSlidePlan; Leader: Snježana Mihalić Arbanas; Jurisdiction: Croatia; Funding stream: IP
• Project: Number: HRZZ DOK-2020-01-2432; Title (croatian): Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije; Title (english): Methodology development for landslide susceptibility assessment for land-use planning based on LiDAR technology; Acronym: LandSlidePlan; Leader: Snježana Mihalić Arbanas; Jurisdiction: Croatia; Funding stream: DOK
• Conference: Title: 5th Regional Symposium on Landslides in the Adriatic-Balkan Region; Acronym: ReSyLAB; Location: Rijeka, Croatia; Start date: 2022-03-23; End date: 2022-03-26; Assembly type: Lecture
• Type of resource: Text
• Publisher: Faculty of Civil Engineering, University of Rijeka
• Publisher: Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb
• Publishing place: Rijeka
• Publishing place: Zagreb
• Access conditions: Open access
• Created on: 2023-03-13 08:56:58