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Scientific paper - Chapter in Book
Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia
In: Progress in Landslide Research and Technology, Volume 2, Issue 1 / Alcántara-Ayala, Irasema; Arbanas, Željko; Mihalić Arbanas, Snježana (Ed.). Cham: Springer Science and Business Media LLC, 2023. pp. 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

Institutional repository: Faculty of Mining, Geology and Petroleum Engineering Repository, University of Zagreb

Cite this document

Krkač, M., Bernat Gazibara, S., Sinčić, M., Lukačić, H., Šarić, G. & Mihalić Arbanas, S. (2023). Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia. In I. Alcántara Ayala, (Ed.), Ž. Arbanas, (Ed.), S. Mihalić Arbanas, (Ed.), Progress in Landslide Research and Technology, Volume 2, Issue 1 (pp. 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, edited by Irasema Alcántara Ayala, edited by Željko Arbanas, edited by Snježana Mihalić Arbanas, Springer Science and Business Media LLC, 2023, pp. 135-146. https://urn.nsk.hr/urn:nbn:hr:169:224501

Krkač, Martin, Sanja Bernat Gazibara, Marko Sinčić, Hrvoje Lukačić, Gabrijela Šarić and Snježana Mihalić Arbanas. "Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia." In Progress in Landslide Research and Technology, Volume 2, Issue 1, edited by Irasema Alcántara Ayala, edited by Željko Arbanas, edited by 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' in Alcántara Ayala, I. (ed.), Arbanas, Ž. (ed.), Mihalić Arbanas, S. (ed.) Progress in Landslide Research and Technology, Volume 2, Issue 1 Cham: Springer Science and Business Media LLC, pp. 135-146. Available at: https://urn.nsk.hr/urn:nbn:hr:169:224501 (Accessed 10 July 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. In: I. Alcántara Ayala, ed., Ž. Arbanas, ed., S. Mihalić Arbanas, ed. Progress in Landslide Research and Technology, Volume 2, Issue 1. Cham: Springer Science and Business Media LLC; 2023. Pp. 135-146. [cited 2024 July 10] Available at: https://urn.nsk.hr/urn:nbn:hr:169:224501

M. Krkač, S. Bernat Gazibara, M. Sinčić, H. Lukačić, G. Šarić and 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 and S. Mihalić Arbanas, Eds. Cham: Springer Science and Business Media LLC, 2023, pp. 135-146. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:169:224501

Metadata
Title (english)Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia
AuthorMartin Krkač
AuthorSanja Bernat Gazibara
AuthorMarko Sinčić
AuthorHrvoje Lukačić
AuthorGabrijela Šarić
AuthorSnježana Mihalić Arbanas
EditorIrasema Alcántara-Ayala
EditorŽeljko Arbanas
EditorSnježana Mihalić Arbanas
Author's institutionUniversity of Rijeka
Faculty of Civil Engineering
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		TECHNICAL SCIENCES
Civil Engineering
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Chapter in Book
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Book titleProgress in Landslide Research and Technology, Volume 2, Issue 1
Numberingpp. 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
Publication2023
ProjectNumber: IP-2019-04-9900
Title (croatian): Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije
Acronym: LandSlidePlan
Leader: Snježana Mihalić Arbanas
Jurisdiction: Croatia
Funding stream: Research Projects
ProjectNumber: 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: Young Researchers’ Career Development Project - Training New Doctoral Students
Document URLhttps://link.springer.com/10.1007/978-3-031-39012-8_4
Type of resourceText
PublisherSpringer Science and Business Media LLC
Publishing placeCham
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-04-30 11:44:33