prikaz prve stranice dokumenta Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)
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Scientific paper - Original scientific paper
Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)
In: Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region. Rijeka; Zagreb: Faculty of Civil Engineering, University of Rijeka; Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 2022. pp. 81-86. urn:nbn:hr:169:602859
Krkač, Martin; Bernat Gazibara, Sanja; Sinčić, Marko; Lukačić, Hrvoje; Mihalić Arbanas, Snježana

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Landslide modelling & applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region | Book

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Krkač, M., Bernat Gazibara, S., Sinčić, M., Lukačić, H. & Mihalić Arbanas, S. (2022). Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia). Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region (pp. 81-86). Rijeka: Faculty of Civil Engineering, University of Rijeka; Zagreb: Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb. Retrieved from https://urn.nsk.hr/urn:nbn:hr:169:602859

Krkač, Martin, et al. "Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)." Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region, Faculty of Civil Engineering, University of Rijeka, Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 2022, pp. 81-86. https://urn.nsk.hr/urn:nbn:hr:169:602859

Krkač, Martin, Sanja Bernat Gazibara, Marko Sinčić, Hrvoje Lukačić and Snježana Mihalić Arbanas. "Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)." In Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region, 81-86. Rijeka: Faculty of Civil Engineering, University of Rijeka; Zagreb: Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 2022. Accessed 2024 November 28. https://urn.nsk.hr/urn:nbn:hr:169:602859

Krkač, M., et al. (2022) 'Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)', Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region, Rijeka, Faculty of Civil Engineering, University of Rijeka; Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, Zagreb, pp. 81-86. Available at: https://urn.nsk.hr/urn:nbn:hr:169:602859 (Accessed 28 November 2024)

Krkač M, Bernat Gazibara S, Sinčić M, Lukačić H, Mihalić Arbanas S. Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia). Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region. Rijeka: Faculty of Civil Engineering, University of Rijeka; Zagreb: Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb; 2022. Pp. 81-86. [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:169:602859

M. Krkač, S. Bernat Gazibara, M. Sinčić, H. Lukačić and S. Mihalić Arbanas, "Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)", Landslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region Rijeka: Faculty of Civil Engineering, University of Rijeka; Zagreb: Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 2022. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:169:602859 [Accessed: 28 November 2024]

Metadata
Title (english)Landslide inventory mapping based on LiDAR data: a case study from Hrvatsko Zagorje (Croatia)
AuthorMartin Krkač
AuthorSanja Bernat Gazibara
AuthorMarko Sinčić
AuthorHrvoje Lukačić
AuthorSnježana Mihalić Arbanas
Author's institutionUniversity 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)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleLandslide Modelling & Applications : proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region
Numberingpp. 81-86
ISBN978-953-6953-55-4 (Faculty of Civil Engineering, University of Rijeka)
ISBN978-953-6953-56-1 (eBook, Faculty of Civil Engineering, University of Rijeka)
ISBN978-953-6923-47-2 (Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb)
ISBN978-953-6923-46-5 (eBook, Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb)
URN:NBNurn:nbn:hr:169:602859
Publication2022
ProjectNumber: 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
ProjectNumber: 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
ConferenceTitle: 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 resourceText
PublisherFaculty of Civil Engineering, University of Rijeka
PublisherFaculty of Mining, Geology and Petroleum Engineering, University of Zagreb
Publishing placeRijeka
Publishing placeZagreb
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-03-13 08:56:58