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Pregled bibliografske jedinice broj: 1244421

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
Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps // 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, 2023. str. 195-212 doi:10.1007/978-3-031-18471-0_16

CROSBI ID: 1244421 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

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

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022

Urednik/ci
Alcantara-Ayala, Irasema ; Arbanas, Željko ; Huntley, David ; Konagai, Kazuo ; Mikoš, Matjaž ; Sassa, Kyoji ; Sassa, Shinji ; Tang, Huiming ; Tiwari, Binod

Izdavač
Springer

Grad
Fullerton, CA, USA

Godina
2023

Raspon stranica
195-212

ISBN
978-3-031-18470-3

ISSN
2731-3794

Ključne riječi
Landslide detection ; Landslide maps ; Landslide susceptibility zonation ; Land use planning

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA

Projekti:
HRZZ-IP-2019-04-9900 - Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije (LandSlidePlan) (Mihalić Arbanas, Snježana, HRZZ - 2019-04) ( CroRIS)
--DOK-2020-01-2432 - Razvoj metodologije procjene podložnosti na klizanje za planiranje namjene zemljišta primjenom LiDAR tehnologije (LandSlidePlan) (Mihalić Arbanas, Snježana) ( CroRIS)
EK-EFRR-KK.05.1.1.02.0020 - Primijenjena istraživanja klizišta za razvoj mjera ublažavanja i prevencije rizika PRI-MJER (PRI-MJER) (Mihalić Arbanas, Snježana, EK - Jačanje primijenjenih istraživanja za mjere prilagodbe klimatskim promjenama) ( CroRIS)

Ustanove:
Građevinski fakultet, Rijeka,
Rudarsko-geološko-naftni fakultet, Zagreb

Profili:

Avatar Url Hrvoje Lukačić (autor)

Avatar Url Sanja Bernat Gazibara (autor)

Avatar Url Željko Arbanas (autor)

Avatar Url Martin Krkač (autor)

Avatar Url Marko Sinčić (autor)

Avatar Url Petra Jagodnik (autor)

Avatar Url Snježana Mihalić Arbanas (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi link.springer.com www.researchgate.net

Citiraj ovu publikaciju:

Mihalić Arbanas, Snježana; Bernat Gazibara, Sanja; Krkač, Martin; Sinčić, Marko; Lukačić, Hrvoje; Jagodnik, Petra; Arbanas, Željko
Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps // 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, 2023. str. 195-212 doi:10.1007/978-3-031-18471-0_16
Mihalić Arbanas, S., Bernat Gazibara, S., Krkač, M., Sinčić, M., Lukačić, H., Jagodnik, P. & Arbanas, Ž. (2023) Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps. U: Alcantara-Ayala, I., Arbanas, Ž., Huntley, D., Konagai, K., Mikoš, M., Sassa, K., Sassa, S., Tang, H. & Tiwari, B. (ur.) Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022. Fullerton, CA, USA, Springer, str. 195-212 doi:10.1007/978-3-031-18471-0_16.
@inbook{inbook, author = {Mihali\'{c} Arbanas, Snje\v{z}ana and Bernat Gazibara, Sanja and Krka\v{c}, Martin and Sin\v{c}i\'{c}, Marko and Luka\v{c}i\'{c}, Hrvoje and Jagodnik, Petra and Arbanas, \v{Z}eljko}, year = {2023}, pages = {195-212}, DOI = {10.1007/978-3-031-18471-0\_16}, keywords = {Landslide detection, Landslide maps, Landslide susceptibility zonation, Land use planning}, doi = {10.1007/978-3-031-18471-0\_16}, isbn = {978-3-031-18470-3}, issn = {2731-3794}, title = {Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps}, keyword = {Landslide detection, Landslide maps, Landslide susceptibility zonation, Land use planning}, publisher = {Springer}, publisherplace = {Fullerton, CA, USA} }
@inbook{inbook, author = {Mihali\'{c} Arbanas, Snje\v{z}ana and Bernat Gazibara, Sanja and Krka\v{c}, Martin and Sin\v{c}i\'{c}, Marko and Luka\v{c}i\'{c}, Hrvoje and Jagodnik, Petra and Arbanas, \v{Z}eljko}, year = {2023}, pages = {195-212}, DOI = {10.1007/978-3-031-18471-0\_16}, keywords = {Landslide detection, Landslide maps, Landslide susceptibility zonation, Land use planning}, doi = {10.1007/978-3-031-18471-0\_16}, isbn = {978-3-031-18470-3}, issn = {2731-3794}, title = {Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps}, keyword = {Landslide detection, Landslide maps, Landslide susceptibility zonation, Land use planning}, publisher = {Springer}, publisherplace = {Fullerton, CA, USA} }

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