prikaz prve stranice dokumenta Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia
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Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia
U: Progress in Landslide Research and Technology, Volume 2, Issue 1 / Alcántara-Ayala, Irasema; Arbanas, Željko; Mihalić Arbanas, Snježana (ur.). Cham: Springer Science and Business Media LLC, 2023. str. 135-146. https://doi.org/10.1007/978-3-031-39012-8_4
Krkač, Martin; Bernat Gazibara, Sanja; Sinčić, Marko; Lukačić, Hrvoje; Šarić, Gabrijela; Mihalić Arbanas, Snježana

Institucijski repozitorij: Repozitorij Rudarsko-geološko-naftnog fakulteta Sveučilišta u Zagrebu

Citirajte ovaj rad

Krkač, M., Bernat Gazibara, S., Sinčić, M., Lukačić, H., Šarić, G. i Mihalić Arbanas, S. (2023). Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia. U I. Alcántara Ayala, (Ur.), Ž. Arbanas, (Ur.), S. Mihalić Arbanas, (Ur.), Progress in Landslide Research and Technology, Volume 2, Issue 1 (str. 135-146). Cham: Springer Science and Business Media LLC. doi: 10.1007/978-3-031-39012-8_4

Krkač, Martin, et al. "Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia." Progress in Landslide Research and Technology, Volume 2, Issue 1, Ur. Irasema Alcántara Ayala, Ur. Željko Arbanas, Ur. Snježana Mihalić Arbanas, Springer Science and Business Media LLC, 2023, str. 135-146. https://urn.nsk.hr/urn:nbn:hr:169:224501

Krkač, Martin, Sanja Bernat Gazibara, Marko Sinčić, Hrvoje Lukačić, Gabrijela Šarić i Snježana Mihalić Arbanas. "Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia." U Progress in Landslide Research and Technology, Volume 2, Issue 1, ur. Irasema Alcántara Ayala, ur. Željko Arbanas, ur. Snježana Mihalić Arbanas, 135-146. Cham: Springer Science and Business Media LLC, 2023. https://urn.nsk.hr/urn:nbn:hr:169:224501

Krkač, M., et al. (2023) 'Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia' u Alcántara Ayala, I. (ur.), Arbanas, Ž. (ur.), Mihalić Arbanas, S. (ur.) Progress in Landslide Research and Technology, Volume 2, Issue 1 Cham: Springer Science and Business Media LLC, str. 135-146. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:169:224501 (Datum pristupa: 18.05.2024.)

Krkač M, Bernat Gazibara S, Sinčić M, Lukačić H, Šarić G, Mihalić Arbanas S. Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia. U: I. Alcántara Ayala, ur., Ž. Arbanas, ur., S. Mihalić Arbanas, ur. Progress in Landslide Research and Technology, Volume 2, Issue 1. Cham: Springer Science and Business Media LLC; 2023. Str. 135-146. [pristupljeno 18.05.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:169:224501

M. Krkač, S. Bernat Gazibara, M. Sinčić, H. Lukačić, G. Šarić i S. Mihalić Arbanas, "Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia", Progress in Landslide Research and Technology, Volume 2, Issue 1, I. Alcántara Ayala, Ž. Arbanas i S. Mihalić Arbanas, Ur. Cham: Springer Science and Business Media LLC, 2023, str. 135-146. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:169:224501

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:169:224501
Podaci o radu
Naslov (engleski)Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia
AutorMartin Krkač
AutorSanja Bernat Gazibara
AutorMarko Sinčić
AutorHrvoje Lukačić
AutorGabrijela Šarić
AutorSnježana Mihalić Arbanas
UrednikIrasema Alcántara-Ayala
UrednikŽeljko Arbanas
UrednikSnježana Mihalić Arbanas
Autorova ustanovaSveučilište u Rijeci
Građevinski fakultet
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
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Sažetak (engleski)
Abstract The study presents analyses of input data impact on the quality of the landslide susceptibility large-scale maps. For comparison, two input data sets were used to produce two landslide susceptibility maps. The first input data set included free-available, small-scale data with low spatial accuracy, while the second set included high-resolution remote sensing data. The same nine types of landslide causal factors were derived and used for susceptibility analyses. Furthermore, LiDAR-based landslide inventory and bivariate statistical method, i.e. Information Value method, were used for susceptibility modelling. The resulting landslide susceptibility maps were compared with ROC curves. Success and prediction rates showed that the landslide susceptibility model based on causal factors derived from high-resolution remote sensing data is approximately 10% more accurate than the model based on causal factors derived from small-scale input data. Furthermore, based on the conducted research, it can be concluded that susceptibility modelling based on small-scale data and LiDAR-based inventories enables reliable landslide susceptibility assessments at the regional level.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Poglavlje u knjizi
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov knjigeProgress in Landslide Research and Technology, Volume 2, Issue 1
Brojčani podacistr. 135-146
ISBN978-3-031-39011-1
ISBN978-3-031-39012-8 (eBook)
p-ISSN2731-3794
e-ISSN2731-3808
DOIhttps://doi.org/10.1007/978-3-031-39012-8_4
URN:NBNurn:nbn:hr:169:224501
Datum objave publikacije2023
ProjektŠifra: IP-2019-04-9900
Naziv (hrvatski): Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije
Kratica: LandSlidePlan
Voditelj: Snježana Mihalić Arbanas
Pravna nadležnost: Hrvatska
Financijer: Hrvatska zaklada za znanost
Linija financiranja: Research Projects
ProjektŠifra: DOK-2020-01-2432
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: Young Researchers’ Career Development Project - Training New Doctoral Students
URL dokumentahttps://link.springer.com/10.1007/978-3-031-39012-8_4
Vrsta resursaTekst
IzdavačSpringer Science and Business Media LLC
Mjesto izdavanjaCham
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-04-30 11:44:33