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Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)
U: Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023. Cham: Springer, 2023. str. 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 | Knjiga
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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 (str. 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, str. 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 i Snježana Mihalić Arbanas. "Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)." U 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, str. 363-375. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:157:035721 (Datum pristupa: 07.04.2025.)

Bernat Gazibara S, Jagodnik P, Lukačić H, Sinčić M, Krkač M, Šarić G, i 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. Str. 363-375. [pristupljeno 07.04.2025.] Dostupno na: 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, str. 363-375. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:157:035721

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Podaci o radu
Naslov (engleski)Landslide and Soil Erosion Inventory Mapping Based on High-Resolution Remote Sensing Data: A Case Study from Istria (Croatia)
AutorSanja Bernat Gazibara
AutorPetra Jagodnik
AutorHrvoje Lukačić
AutorMarko Sinčić
AutorMartin Krkač
AutorGabrijela Šarić
AutorŽeljko Arbanas
AutorSnježana Mihalić Arbanas
Autorova ustanovaSveučilište u Rijeci
Građevinski fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Geotehnika
Sažetak (engleski)
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.
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, 2023
Brojčani podacistr. 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
Datum objave publikacije2023-12-25
ProjektŠifra: IP-2019-04-9900
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
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
URL dokumentahttps://link.springer.com/10.1007/978-3-031-39012-8_18
Vrsta resursaTekst
IzdavačSpringer
Mjesto izdavanjaCham
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2025-03-25 12:18:44