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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 / Alcántara-Ayala, Irasema; Arbanas, Željko (ur.). Cham: 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

Institucijski repozitorij: Repozitorij Rudarsko-geološko-naftnog fakulteta Sveučilišta u Zagrebu

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. Alcántara Ayala, (Ur.), Ž. Arbanas, (Ur.), Progress in Landslide Research and Technology, Volume 1, Issue 2 (str. 195-212). Cham: 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, Ur. Irasema Alcántara Ayala, Ur. Željko Arbanas, Springer Science and Business Media LLC, 2023, str. 195-212. https://urn.nsk.hr/urn:nbn:hr:169:327253

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, ur. Irasema Alcántara Ayala, ur. Željko Arbanas, 195-212. Cham: Springer Science and Business Media LLC, 2023. https://urn.nsk.hr/urn:nbn:hr:169:327253

Mihalić Arbanas, S., et al. (2023) 'Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps' u Alcántara Ayala, I. (ur.), Arbanas, Ž. (ur.) Progress in Landslide Research and Technology, Volume 1, Issue 2 Cham: Springer Science and Business Media LLC, str. 195-212. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:169:327253 (Datum pristupa: 24.11.2024.)

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. Alcántara Ayala, ur., Ž. Arbanas, ur. Progress in Landslide Research and Technology, Volume 1, Issue 2. Cham: Springer Science and Business Media LLC; 2023. Str. 195-212. [pristupljeno 24.11.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:169:327253

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, I. Alcántara Ayala i Ž. Arbanas, Ur. Cham: Springer Science and Business Media LLC, 2023, str. 195-212. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:169:327253

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:169:327253
Podaci o radu
Naslov (engleski)Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps
AutorSnježana Mihalić Arbanas
AutorSanja Bernat Gazibara
AutorMartin Krkač
AutorMarko Sinčić
AutorHrvoje Lukačić
AutorPetra Jagodnik
AutorŽeljko Arbanas
UrednikIrasema Alcántara-Ayala
UrednikŽeljko Arbanas
Autorova ustanovaSveučilište u Rijeci
Građevinski fakultet
Autorova ustanovaSveučilište u Zagrebu
Rudarsko-geološko-naftni fakultet
(Zavod za geologiju i geološko inženjerstvo)
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Rudarstvo, nafta i geološko inženjerstvo
Znanstveno / umjetničko
područje, polje i grana		PRIRODNE ZNANOSTI
Geologija
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
Naslov serijeProgress in Landslide Research and Technology (PLRT)
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:169:327253
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: 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 izdavanjaCham
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-02-09 09:37:41