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Scientific paper - Chapter in Book
Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)
In: Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023. Cham: Springer, 2023. pp. 363-375. https://doi.org/10.1007/978-3-031-39012-8_18
Bernat Gazibara, Sanja; Jagodnik, Petra; Lukačić, Hrvoje; Sinčić, Marko; Krkač, Martin; Šarić, Gabrijela; Arbanas, Željko; Mihalić Arbanas, Snježana

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Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023 | Book
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Bernat Gazibara, S., Jagodnik, P., Lukačić, H., Sinčić, M., Krkač, M., Šarić, G. ... Mihalić Arbanas, S. (2023). Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia). Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023 (pp. 363-375). Cham: Springer. doi: 10.1007/978-3-031-39012-8_18

Bernat Gazibara, Sanja, et al. "Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)." Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023, Springer, 2023, pp. 363-375. https://urn.nsk.hr/urn:nbn:hr:157:035721

Bernat Gazibara, Sanja, Petra Jagodnik, Hrvoje Lukačić, Marko Sinčić, Martin Krkač, Gabrijela Šarić, Željko Arbanas and Snježana Mihalić Arbanas. "Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)." In Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023, 363-375. Cham: Springer, 2023. https://urn.nsk.hr/urn:nbn:hr:157:035721

Bernat Gazibara, S., et al. (2023) 'Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)' Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023 Cham: Springer, pp. 363-375. Available at: https://urn.nsk.hr/urn:nbn:hr:157:035721 (Accessed 04 April 2025)

Bernat Gazibara S, Jagodnik P, Lukačić H, Sinčić M, Krkač M, Šarić G, and sur.. Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia). Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023. Cham: Springer; 2023. Pp. 363-375. [cited 2025 April 04] Available at: https://urn.nsk.hr/urn:nbn:hr:157:035721

S. Bernat Gazibara, et al., "Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)", Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023 Cham: Springer, 2023, pp. 363-375. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:157:035721

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Title (english)Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)
AuthorSanja Bernat Gazibara
AuthorPetra Jagodnik
AuthorHrvoje Lukačić
AuthorMarko Sinčić
AuthorMartin Krkač
AuthorGabrijela Šarić
AuthorŽeljko Arbanas
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)
The central part of the Istrian Peninsula (Croatia) is the area of the Eocene flysch basin, i.e. “Gray Istria, which is prone to weathering and active geomorphological processes. The high erodibility of the Istrian marls led to the formation of steep barren slopes and badlands exceptionally susceptible to slope movements. This research presents the application of high-resolution remote sensing data, i.e., Light Detection and Ranging (LiDAR) data and orthophoto images, for landform mapping at a large scale (1:500). Visual interpretation of remote sensing data was done for the pilot area (20 km) near City of Buzet to produce detailed inventory maps for implementation in the spatial planning system. There is a lack of detailed inventory maps because systematic mapping was not performed for any part of Istria until the scientific research project (HRZZ IP-2019-04-9900), funded by the Croatian Science Foundation. After preliminary visual interpretation of LiDAR DTM and field verifications, it was concluded that four types of landforms could be mapped, i.e. badlands, gully and combined erosion, unstable slopes and landslides. The research objective is to show the representative examples and potential of direct and unambiguous identification and mapping of small and shallow landslides and soil erosion processes based on the visual interpretation of high-resolution remote sensing data in flysch-type rock.
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, 2023
Numberingpp. 363-375
ISBN978-3-031-39011-1 (print)
ISBN978-3-031-39012-8 (online)
DOIhttps://doi.org/10.1007/978-3-031-39012-8_18
URN:NBNurn:nbn:hr:157:035721
Publication2023-12-25
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/10.1007/978-3-031-39012-8_18
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 12:18:44