Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps

Mihalić Arbanas, Snježana; Bernat Gazibara, Sanja; Krkač, Martin; Sinčić, Marko; Lukačić, Hrvoje; Jagodnik, Petra; Arbanas, Željko

doi:10.1007/978-3-031-18471-0_16

Znanstveni rad - Poglavlje u knjizi

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

Citirajte ovaj rad

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

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

Harvard

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: 15.04.2024.)

Vancouver

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 15.04.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:169:327253

IEEE

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

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Podaci o radu

Naslov (engleski)	Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps
Autor	Snježana Mihalić Arbanas
Autor	Sanja Bernat Gazibara
Autor	Martin Krkač
Autor	Marko Sinčić
Autor	Hrvoje Lukačić
Autor	Petra Jagodnik
Autor	Željko Arbanas
Urednik	Irasema Alcántara-Ayala
Urednik	Željko Arbanas
Autorova ustanova	Sveučilište u Rijeci Građevinski fakultet
Autorova ustanova	Sveučilište 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)
Jezik	engleski
Vrsta publikacije	Znanstveni rad - Poglavlje u knjizi
Status objave	Objavljen
Vrsta recenzije	Recenziran - međunarodna recenzija
Verzija publikacije	Objavljena verzija rada (izdavačev PDF)
Naslov knjige	Progress in Landslide Research and Technology, Volume 1, Issue 2
Naslov serije	Progress in Landslide Research and Technology (PLRT)
Brojčani podaci	str. 195-212
ISBN	978-3-031-18470-3 (Hardcover)
ISBN	978-3-031-18471-0 (eBook)
ISBN	978-3-031-18473-4 (Softcover)
p-ISSN	2731-3808
DOI	https://doi.org/10.1007/978-3-031-18471-0_16
URN:NBN	urn:nbn:hr:169:327253
Datum objave publikacije	2023
Projekt	Šifra: 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
Projekt	Šifra: 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 dokumenta	https://link.springer.com/10.1007/978-3-031-18471-0_16
Vrsta resursa	Tekst
Izdavač	Springer Science and Business Media LLC
Mjesto izdavanja	Cham
Prava pristupa	Otvoreni pristup
Uvjeti korištenja
Datum i vrijeme pohrane	2024-02-09 09:37:41