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Multi-Level Data Analyses in the Gajevo Landslide Research, Croatia (CROSBI ID 319211)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Podolszki, Laszlo ; Miklin, Luka ; Kosović, Ivan ; Gulam, Vlatko Multi-Level Data Analyses in the Gajevo Landslide Research, Croatia // Remote sensing, 15 (2023), 200; rs15010200, 19. doi: 10.3390/rs15010200

Podaci o odgovornosti

Podolszki, Laszlo ; Miklin, Luka ; Kosović, Ivan ; Gulam, Vlatko

engleski

Multi-Level Data Analyses in the Gajevo Landslide Research, Croatia

The Gajevo landslide is located in a hilly area of northern Croatia, where numerous landslides endanger and damage houses, roads, water systems, and power lines. Nevertheless, available landslide data are relatively scarce. Therefore, the Gajevo landslide location was chosen for detailed research and the development of a typical landslide model for this area. During initial research, the geographical and geological settings were reviewed and historical orthophotos were analysed. Due to the complexity and vulnerability of the area, the location required detailed investigations and the integration of multi-level data: remote (based on high-resolution LiDAR data) and field landslide mapping were performed and a map of the landslide area was developed. Precipitation data were reviewed, while shallow boreholes with material sampling and geophysical measurements provided information on material characteristics and 3D (depth) insight. As a result, knowledge was gained about material resistivity and composition along with the depth of sliding surfaces, and an engineering geological map of the Gajevo landslide area with the landslide and directly endangered areas marked was developed to be used by the local community in landslide risk assessment. As it is reasonable to expect that an extreme rainfall event will occur in combination with snowmelt in the coming years, resulting in the reactivation of Gajevo landslide, further research and continuous landslide monitoring are recommended.

multi-level data ; landslide research ; remote sensing ; geophysical data ; engineering geology ; precipitation trends

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Podaci o izdanju

15 (200)

2023.

rs15010200

19

objavljeno

2072-4292

10.3390/rs15010200

Trošak objave rada u otvorenom pristupu

Povezanost rada

Geofizika, Geologija, Interdisciplinarne tehničke znanosti, Rudarstvo, nafta i geološko inženjerstvo

Poveznice
Indeksiranost