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Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps
U: Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022 / Alcantara-Ayala, Irasema; Arbanas, Željko; Huntley, David; Konagai, Kazuo; Mikoš, Matjaž; Sassa, Kyoji; Sassa, Shinji; Tang, Huiming; Tiwari, Binod (ur.). Fullerton, CA, USA: Springer Science and Business Media LLC, 2023. str. 195-212. https://doi.org/10.1007/978-3-031-18471-0_16
Mihalić Arbanas, Snježana; Bernat Gazibara, Sanja; Krkač, Martin; Sinčić, Marko; Lukačić, Hrvoje; Jagodnik, Petra; Arbanas, Željko

Citirajte ovaj rad

Mihalić Arbanas, S., Bernat Gazibara, S., Krkač, M., Sinčić, M., Lukačić, H., Jagodnik, P. i Arbanas, Ž. (2023). Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps. U I. Alcantara Ayala, (Ur.), Ž. Arbanas, (Ur.), D. Huntley, (Ur.), K. Konagai, (Ur.), M. Mikoš, (Ur.), K. Sassa, (Ur.), S. Sassa, (Ur.), H. Tang, (Ur.), B. Tiwari, (Ur.), Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022 (str. 195-212). Fullerton, CA, USA: Springer Science and Business Media LLC. doi: 10.1007/978-3-031-18471-0_16

Mihalić Arbanas, Snježana, et al. "Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps." Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, Ur. Irasema Alcantara Ayala, Ur. Željko Arbanas, Ur. David Huntley, Ur. Kazuo Konagai, Ur. Matjaž Mikoš, Ur. Kyoji Sassa, Ur. Shinji Sassa, Ur. Huiming Tang, Ur. Binod Tiwari, Springer Science and Business Media LLC, 2023, str. 195-212. https://urn.nsk.hr/urn:nbn:hr:157:215124

Mihalić Arbanas, Snježana, Sanja Bernat Gazibara, Martin Krkač, Marko Sinčić, Hrvoje Lukačić, Petra Jagodnik i Željko Arbanas. "Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps." U Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, ur. Irasema Alcantara Ayala, ur. Željko Arbanas, ur. David Huntley, ur. Kazuo Konagai, ur. Matjaž Mikoš, ur. Kyoji Sassa, ur. Shinji Sassa, ur. Huiming Tang, ur. Binod Tiwari, 195-212. Fullerton, CA, USA: Springer Science and Business Media LLC, 2023. https://urn.nsk.hr/urn:nbn:hr:157:215124

Mihalić Arbanas, S., et al. (2023) 'Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps' u Alcantara Ayala, I. (ur.), Arbanas, Ž. (ur.), Huntley, D. (ur.), Konagai, K. (ur.), Mikoš, M. (ur.), Sassa, K. (ur.), Sassa, S. (ur.), Tang, H. (ur.), Tiwari, B. (ur.) Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022 Fullerton, CA, USA: Springer Science and Business Media LLC, str. 195-212. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:157:215124 (Datum pristupa: 16.04.2024.)

Mihalić Arbanas S, Bernat Gazibara S, Krkač M, Sinčić M, Lukačić H, Jagodnik P, i sur.. Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps. U: I. Alcantara Ayala, ur., Ž. Arbanas, ur., D. Huntley, ur., K. Konagai, ur., M. Mikoš, ur., K. Sassa, ur., S. Sassa, ur., H. Tang, ur., B. Tiwari, ur. Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022. Fullerton, CA, USA: Springer Science and Business Media LLC; 2023. Str. 195-212. [pristupljeno 16.04.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:157:215124

S. Mihalić Arbanas, et al., "Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps", Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, I. Alcantara Ayala et al., Ur. Fullerton, CA, USA: Springer Science and Business Media LLC, 2023, str. 195-212. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:157:215124

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Podaci o radu
Naslov (engleski)Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps
AutorSnježana Mihalić Arbanas
MBZ: 205022
AutorSanja Bernat Gazibara
MBZ: 340202
AutorMartin Krkač
MBZ: 301015
AutorMarko Sinčić
MBZ: 392283
AutorHrvoje Lukačić
MBZ: 394263
AutorPetra Jagodnik
MBZ: 329610
AutorŽeljko Arbanas
MBZ: 329610
UrednikIrasema Alcantara-Ayala
UrednikŽeljko Arbanas
MBZ: 179751
UrednikDavid Huntley
UrednikKazuo Konagai
UrednikMatjaž Mikoš
UrednikKyoji Sassa
UrednikShinji Sassa
UrednikHuiming Tang
UrednikBinod Tiwari
Autorova ustanovaSveučilište u Rijeci
Građevinski fakultet
Autorova ustanovaSveučilište u Zagrebu
Rudarsko-geološko-naftni fakultet
Znanstveno / umjetničko
područje, polje i grana		PRIRODNE ZNANOSTI
Geologija
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Rudarstvo, nafta i geološko inženjerstvo
Sažetak (engleski)
Abstract The need for landslide maps of wider areas has increased with the understanding that proper planning will considerably decrease the construction and maintenance cost of structures. The main objective of the paper is to present types of data and information on landslides that can be derived from landslide inventory and landslide susceptibility maps and their use for spatial and urban planning. Recent examples of landslide zonation maps from Croatia are given to show the possibility of the derivation of data about landslides by using LIDAR (Light Detection and Ranging) DTM (Digital Terrain Model) for the compilation of historical landslide inventory. The application of data about landslide phenomena is compared with the application of information from landslide susceptibility zonation maps. It is concluded that a multi-level and hierarchical approach is necessary to reach the cost-effectiveness of nationwide production of landside maps for land-use planning.
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 1 Issue 2, 2022
Naslov serijeProgress in Landslide Research and Technology
Brojčani podacistr. 195-212
ISBN978-3-031-18470-3 (Hardcover)
ISBN978-3-031-18471-0 (eBook)
ISBN978-3-031-18473-4 (Softcover)
p-ISSN2731-3808
DOIhttps://doi.org/10.1007/978-3-031-18471-0_16
URN:NBNurn:nbn:hr:157:215124
Datum objave publikacije2023
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: HRZZ
Linija financiranja: IP
ProjektŠifra: HRZZ 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: HRZZ
Linija financiranja: DOK
ProjektŠifra: KK.05.1.1.02.0020
Naziv (hrvatski): Primijenjena istraživanja klizišta za razvoj mjera ublažavanja i prevencije rizika PRI-MJER
Kratica: PRI-MJER
Voditelj: Snježana Mihalić Arbanas
Pravna nadležnost: Hrvatska
Financijer: EK
Linija financiranja: EFRR
URL dokumentahttps://link.springer.com/10.1007/978-3-031-18471-0_16
Vrsta resursaTekst
IzdavačSpringer Science and Business Media LLC
Mjesto izdavanjaFullerton, CA, USA
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2023-10-30 08:57:45