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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 / Alcántara-Ayala, Irasema; Arbanas, Željko; Mihalić Arbanas, Snježana (Ed.). Cham: Springer Science and Business Media LLC, 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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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). In I. Alcántara Ayala, (Ed.), Ž. Arbanas, (Ed.), S. Mihalić Arbanas, (Ed.), Progress in Landslide Research and Technology, Volume 2, Issue 1 (pp. 363-375). Cham: Springer Science and Business Media LLC. 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, edited by Irasema Alcántara Ayala, edited by Željko Arbanas, edited by Snježana Mihalić Arbanas, Springer Science and Business Media LLC, 2023, pp. 363-375. https://urn.nsk.hr/urn:nbn:hr:169:004944

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, edited by Irasema Alcántara Ayala, edited by Željko Arbanas, edited by Snježana Mihalić Arbanas, 363-375. Cham: Springer Science and Business Media LLC, 2023. https://urn.nsk.hr/urn:nbn:hr:169:004944

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)' 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. 363-375. Available at: https://urn.nsk.hr/urn:nbn:hr:169:004944 (Accessed 13 November 2024)

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). 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. 363-375. [cited 2024 November 13] Available at: https://urn.nsk.hr/urn:nbn:hr:169:004944

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, I. Alcántara Ayala, Ž. Arbanas and S. Mihalić Arbanas, Eds. Cham: Springer Science and Business Media LLC, 2023, pp. 363-375. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:169:004944

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Metadata
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
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)
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
Numberingpp. 363-375
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_18
URN:NBNurn:nbn:hr:169:004944
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
Funding stream: IP
ProjectNumber: HRZZ 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: DOK
Document URLhttps://link.springer.com/10.1007/978-3-031-39012-8_18
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 on2024-02-07 09:32:22