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Pregled bibliografske jedinice broj: 1171881

Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia

Damjanović, Vedran; Mihalić Arbanas, Snježana; Bernat Gazibara, Sanja; Peranić, Josip; Sečanj, Marin; Krkač, Martin; Arbanas, Željko
Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia // Proceedings of the 5th World Landslide Forum 'Understanding and Reducing Landslide Disaster Risk', Vol. 2 'From Mapping to Hazard and Risk Zonation' / Guzzetti, Fausto ; Mihalić Arbanas, Snježana ; Reichenbach, Paola ; Kyoji, Sassa ; Peter T., Bobrowsky ; Kaoru, Takara (ur.).
Kyoto, Japan: Springer, 2020. str. 95-101 doi:10.1007/978-3-030-60227-7_9 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 1171881 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia

Autori
Damjanović, Vedran ; Mihalić Arbanas, Snježana ; Bernat Gazibara, Sanja ; Peranić, Josip ; Sečanj, Marin ; Krkač, Martin ; Arbanas, Željko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 5th World Landslide Forum 'Understanding and Reducing Landslide Disaster Risk', Vol. 2 'From Mapping to Hazard and Risk Zonation' / Guzzetti, Fausto ; Mihalić Arbanas, Snježana ; Reichenbach, Paola ; Kyoji, Sassa ; Peter T., Bobrowsky ; Kaoru, Takara - : Springer, 2020, 95-101

ISBN
978-3-030-60226-0

Skup
5th World Landslide Forum Understanding and Reducing Landslide Disaster Risk

Mjesto i datum
Kyoto, Japan, 02.11.2021. - 06.11.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Landslide mapping, UAV SfM, landslide model, Prnjavor Čuntićki

Sažetak
The paper presents results of identification and mapping of the Prnjavor Čuntićki landslide reactivated in March 2018 due to intensive rainfalls in Croatia. The described investigations included conventional landslide field mapping and visual mapping using high resolution digital terrain model derived from data captured by Unmanned Aerial Vehicle (UAV) and Structure from Motion (SfM). Identification of landslide contours and topography enabled back slope stability analysis that resulted in preliminary landslide model. The research results imply reactivation of large part of fossil landslide (about 25% of landslide area) and high risk due to potential damaging of houses and local road. Preliminary interpretation of landslide mechanism will be used for planning of landslide monitoring and early warning system.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA

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

Profili:

Avatar Url Snježana Mihalić Arbanas (autor)

Avatar Url Josip Peranić (autor)

Avatar Url Sanja Bernat Gazibara (autor)

Avatar Url Željko Arbanas (autor)

Avatar Url Marin Sečanj (autor)

Avatar Url Martin Krkač (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Damjanović, Vedran; Mihalić Arbanas, Snježana; Bernat Gazibara, Sanja; Peranić, Josip; Sečanj, Marin; Krkač, Martin; Arbanas, Željko
Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia // Proceedings of the 5th World Landslide Forum 'Understanding and Reducing Landslide Disaster Risk', Vol. 2 'From Mapping to Hazard and Risk Zonation' / Guzzetti, Fausto ; Mihalić Arbanas, Snježana ; Reichenbach, Paola ; Kyoji, Sassa ; Peter T., Bobrowsky ; Kaoru, Takara (ur.).
Kyoto, Japan: Springer, 2020. str. 95-101 doi:10.1007/978-3-030-60227-7_9 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Damjanović, V., Mihalić Arbanas, S., Bernat Gazibara, S., Peranić, J., Sečanj, M., Krkač, M. & Arbanas, Ž. (2020) Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor Čuntićki Landslide Case Study, Croatia. U: Guzzetti, F., Mihalić Arbanas, S., Reichenbach, P., Kyoji, S., Peter T., B. & Kaoru, T. (ur.)Proceedings of the 5th World Landslide Forum 'Understanding and Reducing Landslide Disaster Risk', Vol. 2 'From Mapping to Hazard and Risk Zonation' doi:10.1007/978-3-030-60227-7_9.
@article{article, author = {Damjanovi\'{c}, Vedran and Mihali\'{c} Arbanas, Snje\v{z}ana and Bernat Gazibara, Sanja and Perani\'{c}, Josip and Se\v{c}anj, Marin and Krka\v{c}, Martin and Arbanas, \v{Z}eljko}, year = {2020}, pages = {95-101}, DOI = {10.1007/978-3-030-60227-7\_9}, keywords = {Landslide mapping, UAV SfM, landslide model, Prnjavor \v{C}unti\'{c}ki}, doi = {10.1007/978-3-030-60227-7\_9}, isbn = {978-3-030-60226-0}, title = {Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor \v{C}unti\'{c}ki Landslide Case Study, Croatia}, keyword = {Landslide mapping, UAV SfM, landslide model, Prnjavor \v{C}unti\'{c}ki}, publisher = {Springer}, publisherplace = {Kyoto, Japan} }
@article{article, author = {Damjanovi\'{c}, Vedran and Mihali\'{c} Arbanas, Snje\v{z}ana and Bernat Gazibara, Sanja and Perani\'{c}, Josip and Se\v{c}anj, Marin and Krka\v{c}, Martin and Arbanas, \v{Z}eljko}, year = {2020}, pages = {95-101}, DOI = {10.1007/978-3-030-60227-7\_9}, keywords = {Landslide mapping, UAV SfM, landslide model, Prnjavor \v{C}unti\'{c}ki}, doi = {10.1007/978-3-030-60227-7\_9}, isbn = {978-3-030-60226-0}, title = {Landslide Mapping Based on UAV Photogrammetry Using SfM—The Prnjavor \v{C}unti\'{c}ki Landslide Case Study, Croatia}, keyword = {Landslide mapping, UAV SfM, landslide model, Prnjavor \v{C}unti\'{c}ki}, publisher = {Springer}, publisherplace = {Kyoto, Japan} }

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