Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1256784

Landslide susceptibility assessment on a large scale in the Podsljeme area, Cityof Zagreb (Croatia)


Bernat Gazibara, Sanja; Sinčić, Marko; Krkač, Martin; Lukačić, Hrvoje; Mihalić Arbanas, Snježana
Landslide susceptibility assessment on a large scale in the Podsljeme area, Cityof Zagreb (Croatia) // Journal of Maps, 19 (2023), 1, 11 doi:10.1080/17445647.2022.2163197 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1256784 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Landslide susceptibility assessment on a large scale in the Podsljeme area, Cityof Zagreb (Croatia)

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

Izvornik
Journal of Maps (1744-5647) 19 (2023); 1, 11

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
landslide susceptibility modelling, large scale, bivariate statistical method, LiDAR, Croatia

Sažetak
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 km2) and applying the obtained weight values for each class of conditioning factors in the study area (130 km2). 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.

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo

Napomena
Glavni autori: Sanja Bernat Gazibara i Martin Krkač



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)

Poveznice na cjeloviti tekst rada:

doi www.tandfonline.com

Citiraj ovu publikaciju:

Bernat Gazibara, Sanja; Sinčić, Marko; Krkač, Martin; Lukačić, Hrvoje; Mihalić Arbanas, Snježana
Landslide susceptibility assessment on a large scale in the Podsljeme area, Cityof Zagreb (Croatia) // Journal of Maps, 19 (2023), 1, 11 doi:10.1080/17445647.2022.2163197 (međunarodna recenzija, članak, znanstveni)
Bernat Gazibara, S., Sinčić, M., Krkač, M., Lukačić, H. & Mihalić Arbanas, S. (2023) Landslide susceptibility assessment on a large scale in the Podsljeme area, Cityof Zagreb (Croatia). Journal of Maps, 19, 1, 11 doi:10.1080/17445647.2022.2163197.
@article{article, author = {Bernat Gazibara, Sanja and Sin\v{c}i\'{c}, Marko and Krka\v{c}, Martin and Luka\v{c}i\'{c}, Hrvoje and Mihali\'{c} Arbanas, Snje\v{z}ana}, year = {2023}, pages = {11}, DOI = {10.1080/17445647.2022.2163197}, chapter = {1}, keywords = {landslide susceptibility modelling, large scale, bivariate statistical method, LiDAR, Croatia}, journal = {Journal of Maps}, doi = {10.1080/17445647.2022.2163197}, volume = {19}, issn = {1744-5647}, title = {Landslide susceptibility assessment on a large scale in the Podsljeme area, Cityof Zagreb (Croatia)}, keyword = {landslide susceptibility modelling, large scale, bivariate statistical method, LiDAR, Croatia}, chapternumber = {1} }
@article{article, author = {Bernat Gazibara, Sanja and Sin\v{c}i\'{c}, Marko and Krka\v{c}, Martin and Luka\v{c}i\'{c}, Hrvoje and Mihali\'{c} Arbanas, Snje\v{z}ana}, year = {2023}, pages = {11}, DOI = {10.1080/17445647.2022.2163197}, chapter = {1}, keywords = {landslide susceptibility modelling, large scale, bivariate statistical method, LiDAR, Croatia}, journal = {Journal of Maps}, doi = {10.1080/17445647.2022.2163197}, volume = {19}, issn = {1744-5647}, title = {Landslide susceptibility assessment on a large scale in the Podsljeme area, Cityof Zagreb (Croatia)}, keyword = {landslide susceptibility modelling, large scale, bivariate statistical method, LiDAR, Croatia}, chapternumber = {1} }

Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font