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Identification and mapping of shallow landslides in the City of Zagreb (Croatia) using the LiDAR-based terrain model


Bernat Gazibara, Sanja; Krkač, Martin; Sečanj, Marin; Mihalić Arbanas, Snježana
Identification and mapping of shallow landslides in the City of Zagreb (Croatia) using the LiDAR-based terrain model // Advancing Culture of Living with Landslides / Mikoš, Matjaž ; Tiwari, Binod ; Yin, Yueping ; Sassa, Kyoji (ur.).
Cham, Switzerland: Springer, 2017. str. 1093-1100 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Identification and mapping of shallow landslides in the City of Zagreb (Croatia) using the LiDAR-based terrain model

Autori
Bernat Gazibara, Sanja ; Krkač, Martin ; Sečanj, Marin ; Mihalić Arbanas, Snježana

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

Izvornik
Advancing Culture of Living with Landslides / Mikoš, Matjaž ; Tiwari, Binod ; Yin, Yueping ; Sassa, Kyoji - Cham, Switzerland : Springer, 2017, 1093-1100

ISBN
978-3-319-53497-8

Skup
4th World Landslide Forum

Mjesto i datum
Ljubljana, Slovenija, 29.5.-2.6.2017.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Shallow landslides, Croatia, LiDAR, Landslide inventory

Sažetak
Landslides in the hilly zone of Medvednica Mt. were identified visually using LiDAR DTM with a spatial resolution of 15×15 cm. Acquisition of the LiDAR data was performed in December 2013, following an extreme precipitation period that resulted in numerous landslides. Topographic derivative datasets for interpreting landslide morphology were computed from the LiDAR DTM: hillshade maps, degree of slope, contour lines, curvature, and surface roughness. Visual interpretation of LiDAR DTM derivatives was taken for the pilot area of 21 km2, which represents 12% of the hilly area in Zagreb City. This resulted in a landslide inventory map, indicating the contours of 676 landslides. Seventy-five percent of the landslide bodies showed a size between 159 and 2, 018 m2. The area of the smallest identified landslide in the test area is 43 m2. The majority of mapped landslides are located in a forested area. Each mapped landslide was assigned a level of confidence based on the LiDAR characteristics and it could be concluded that the LiDAR-based terrain model is a valuable tool for preparation of landslide inventories in heavily vegetated regions such as the hilly area of Medvednica Mt. The analysis of geomorphological properties of the landslides will be implemented to perform a semi-automated landslide mapping in the entire hilly area of the City of Zagreb (total area is 180 km2).

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA


Ustanove
Rudarsko-geološko-naftni fakultet, Zagreb