prikaz prve stranice dokumenta Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia
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Scientific paper - Chapter in Book
Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia
In: Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023. Cham: Springer, 2023. pp. 343-354. https://doi.org/10.1007/978-3-031-44296-4_19
Bernat Gazibara, Sanja; Sinčić, Marko; Rossi, Mauro; Reichenbach, Paola; Krkač, Martin; Lukačić, Hrvoje; Jagodnik, Petra; Šarić, Gabrijela; Mihalić Arbanas, Snježana

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Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023 | Book
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Bernat Gazibara, S., Sinčić, M., Rossi, M., Reichenbach, P., Krkač, M., Lukačić, H. ... Mihalić Arbanas, S. (2023). Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia. Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023 (pp. 343-354). Cham: Springer. doi: 10.1007/978-3-031-44296-4_19

Bernat Gazibara, Sanja, et al. "Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia." Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023, Springer, 2023, pp. 343-354. https://urn.nsk.hr/urn:nbn:hr:157:372018

Bernat Gazibara, Sanja, Marko Sinčić, Mauro Rossi, Paola Reichenbach, Martin Krkač, Hrvoje Lukačić, Petra Jagodnik, Gabrijela Šarić and Snježana Mihalić Arbanas. "Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia." In Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023, 343-354. Cham: Springer, 2023. https://urn.nsk.hr/urn:nbn:hr:157:372018

Bernat Gazibara, S., et al. (2023) 'Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia' Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023 Cham: Springer, pp. 343-354. Available at: https://urn.nsk.hr/urn:nbn:hr:157:372018 (Accessed 11 April 2025)

Bernat Gazibara S, Sinčić M, Rossi M, Reichenbach P, Krkač M, Lukačić H, and sur.. Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia. Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023. Cham: Springer; 2023. Pp. 343-354. [cited 2025 April 11] Available at: https://urn.nsk.hr/urn:nbn:hr:157:372018

S. Bernat Gazibara, et al., "Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia", Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023 Cham: Springer, 2023, pp. 343-354. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:157:372018

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Title (english)Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia
AuthorSanja Bernat Gazibara
AuthorMarko Sinčić
AuthorMauro Rossi
AuthorPaola Reichenbach
AuthorMartin Krkač
AuthorHrvoje Lukačić
AuthorPetra Jagodnik
AuthorGabrijela Šarić
AuthorSnježana Mihalić Arbanas
Author's institutionUniversity of Rijeka
Faculty of Civil Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Geotechnology
Abstract (english)
LAND-SUITE software was applied to local-scale landslide susceptibility zonation in a study area (20 km) located in NW Croatia, which is characterised by small and shallow landslides in engineering soils and hard soils-soft rocks. Landslide susceptibility models were prepared using a LiDAR-based landslide inventory, and causal factors derived and/or modified using high-resolution remote sensing data. The landslide susceptibility analysis was carried out using different statistical methods and mapping units. As a result, we obtained ten susceptibility maps, classified into five zones based on modelled landslide probability. The main objective of this paper is to analyse the use of LAND-SUITE for deriving susceptibility zonations, useful to support applications in a spatial planning system on a local scale. One of the most valuable advantage of LAND-SUITE is that the selection of the appropriate causal factor maps can be performed using simple decisions based on multiple analyses, including multicollinearity tables and correlograms. The evaluation of the susceptibility models allowed to conclude that the pixel-based map represents the best option for application in a local-level spatial planning system, although it requires “post-processing” of the susceptibility zones to produce clustered and homogeneous information. LAND-SUITE has proven to be a valuable tool for testing numerous landslide susceptibility hypotheses.
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 2, 2023
Numberingpp. 343-354
ISBN978-3-031-44296-4
DOIhttps://doi.org/10.1007/978-3-031-44296-4_19
URN:NBNurn:nbn:hr:157:372018
Publication2023
ProjectNumber: IP-2019-04-9900
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
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
Document URLhttps://link.springer.com/10.1007/978-3-031-44296-4_19
Type of resourceText
PublisherSpringer
Publishing placeCham
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2025-03-25 10:54:37