prikaz prve stranice dokumenta Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia)
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Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia)
Journal of Maps, 19 (2023), 1; 2163197. https://doi.org/10.1080/17445647.2022.2163197
Bernat Gazibara, Sanja; Sinčić, Marko; Krkač, Martin; Lukačić, Hrvoje; Mihalić Arbanas, Snježana

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Bernat Gazibara, S., Sinčić, M., Krkač, M., Lukačić, H. i Mihalić Arbanas, S. (2023). Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia). Journal of Maps, 19. (1). doi: 10.1080/17445647.2022.2163197

Bernat Gazibara, Sanja, et al. "Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia)." Journal of Maps, vol. 19, br. 1, 2023. https://doi.org/10.1080/17445647.2022.2163197

Bernat Gazibara, Sanja, Marko Sinčić, Martin Krkač, Hrvoje Lukačić i Snježana Mihalić Arbanas. "Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia)." Journal of Maps 19, br. 1 (2023). https://doi.org/10.1080/17445647.2022.2163197

Bernat Gazibara, S., et al. (2023) 'Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia)', Journal of Maps, 19(1). doi: 10.1080/17445647.2022.2163197

Bernat Gazibara S, Sinčić M, Krkač M, Lukačić H, Mihalić Arbanas S. Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia). Journal of Maps [Internet]. 17.01.2023. [pristupljeno 11.04.2025.];19(1). doi: 10.1080/17445647.2022.2163197

S. Bernat Gazibara, M. Sinčić, M. Krkač, H. Lukačić i S. Mihalić Arbanas, "Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia)", Journal of Maps, vol. 19, br. 1, Siječanj 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:169:709324. [Citirano: 11.04.2025.]

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Naslov (engleski)Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia)
AutorSanja Bernat Gazibara
AutorMarko Sinčić
AutorMartin Krkač
AutorHrvoje Lukačić
AutorSnježana Mihalić Arbanas
Autorova ustanovaSveučilište u Zagrebu
Rudarsko-geološko-naftni fakultet
(Zavod za geologiju i geološko inženjerstvo)
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Rudarstvo, nafta i geološko inženjerstvo
Sažetak (engleski)
The study presents a landslide susceptibility assessment on a large scale in the City of Zagreb (Croatia). The susceptibility analysis was performed using the Weight of Evidence model in the pilot area (21 km 2 ) and applying the obtained weight values for each class of conditioning factors in the study area (130 km 2 ). The input data were LiDAR-based landslide inventory and six conditioning factors derived from 5 m LiDAR DTM, 5 m SfM DEM, and geological and land-use maps. The validation of the susceptibility assessment for the study area was evaluated with a ROC curve, which showed a high prediction rate (AUC = 84.4%), similar to the prediction rate for the pilot area (AUC = 86.9%). Based on the results, it can be concluded that the proposed method for large-scale landslide susceptibility assessment, where susceptibility conditions are defined in smaller pilot areas, can be applied to larger research areas with similar geomorphological and geological conditions.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaJournal of Maps
Brojčani podacivol. 19, br. 1, 2163197
e-ISSN1744-5647
DOIhttps://doi.org/10.1080/17445647.2022.2163197
URN:NBNurn:nbn:hr:169:709324
Datum objave publikacije2023-01-17
ProjektŠifra: IP-2019-04-9900
Naziv (hrvatski): Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije
Naziv (engleski): Methodology development for landslide susceptibility assessment for land-use planning based on LiDAR technology
Kratica: LandSlidePlan
Voditelj: Snježana Mihalić Arbanas
Pravna nadležnost: Hrvatska
Financijer: Hrvatska zaklada za znanost
Linija financiranja: Research Projects
URL dokumentahttps://www.tandfonline.com/doi/full/10.1080/17445647.2022.2163197
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno 4.0 međunarodna (CC BY-NC 4.0)
Datum i vrijeme pohrane2025-02-17 15:08:37