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Pregled bibliografske jedinice broj: 1193463

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


Krkač, Martin; Bernat Gazibara, Sanja; Sinčić, Marko; Lukačić, Hrvoje; Mihalić Arbanas, Snježana
Landslide inventory mapping based on LiDAR data: A case study from Hrvatsko Zagorje (Croatia) // Proceedings of the 5th ReSyLAB 'Landslide Modelling & Applications' / Peranić, Josip ; Vivoda Prodan, Martina ; Bernat Gazibara, Sanja ; Krkač, Martin ; Snježana Mihalić, Arbanas ; Arbanas, Željko (ur.).
Rijeka, 2022. str. 81-86 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1193463 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Krkač, Martin ; Bernat Gazibara, Sanja ; Sinčić, Marko ; Lukačić, Hrvoje ; Mihalić Arbanas, Snježana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 5th ReSyLAB 'Landslide Modelling & Applications' / Peranić, Josip ; Vivoda Prodan, Martina ; Bernat Gazibara, Sanja ; Krkač, Martin ; Snježana Mihalić, Arbanas ; Arbanas, Željko - Rijeka, 2022, 81-86

ISBN
978-953-6953-55-4

Skup
5th Regional Symposium on Landslides in the Adriatic-Balkan Region

Mjesto i datum
Rijeka, Hrvatska, 23.03.2022. - 26.03.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
landslide inventory, LiDAR, high-resolution DEM, land use

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA


Projekti:
HRZZ-IP-2019-04-9900 - Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije (LandSlidePlan) (Mihalić Arbanas, Snježana, HRZZ - 2019-04) ( CroRIS)
--DOK-2020-01-2432 - Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije (LandSlidePlan) (Mihalić Arbanas, Snježana) ( CroRIS)

Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada 5resylab.uniri.hr

Citiraj ovu publikaciju:

Krkač, Martin; Bernat Gazibara, Sanja; Sinčić, Marko; Lukačić, Hrvoje; Mihalić Arbanas, Snježana
Landslide inventory mapping based on LiDAR data: A case study from Hrvatsko Zagorje (Croatia) // Proceedings of the 5th ReSyLAB 'Landslide Modelling & Applications' / Peranić, Josip ; Vivoda Prodan, Martina ; Bernat Gazibara, Sanja ; Krkač, Martin ; Snježana Mihalić, Arbanas ; Arbanas, Željko (ur.).
Rijeka, 2022. str. 81-86 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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). U: Peranić, J., Vivoda Prodan, M., Bernat Gazibara, S., Krkač, M., Snježana Mihalić, A. & Arbanas, Ž. (ur.)Proceedings of the 5th ReSyLAB 'Landslide Modelling & Applications'.
@article{article, author = {Krka\v{c}, Martin and Bernat Gazibara, Sanja and Sin\v{c}i\'{c}, Marko and Luka\v{c}i\'{c}, Hrvoje and Mihali\'{c} Arbanas, Snje\v{z}ana}, year = {2022}, pages = {81-86}, keywords = {landslide inventory, LiDAR, high-resolution DEM, land use}, isbn = {978-953-6953-55-4}, title = {Landslide inventory mapping based on LiDAR data: A case study from Hrvatsko Zagorje (Croatia)}, keyword = {landslide inventory, LiDAR, high-resolution DEM, land use}, publisherplace = {Rijeka, Hrvatska} }
@article{article, author = {Krka\v{c}, Martin and Bernat Gazibara, Sanja and Sin\v{c}i\'{c}, Marko and Luka\v{c}i\'{c}, Hrvoje and Mihali\'{c} Arbanas, Snje\v{z}ana}, year = {2022}, pages = {81-86}, keywords = {landslide inventory, LiDAR, high-resolution DEM, land use}, isbn = {978-953-6953-55-4}, title = {Landslide inventory mapping based on LiDAR data: A case study from Hrvatsko Zagorje (Croatia)}, keyword = {landslide inventory, LiDAR, high-resolution DEM, land use}, publisherplace = {Rijeka, Hrvatska} }




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