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Pregled bibliografske jedinice broj: 1244429

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


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 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1244429 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

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

Izvornik
Remote Sensing (2072-4292) 15 (2023), 200; Rs15010200, 19

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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

Sažetak
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.

Izvorni jezik
Engleski

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



POVEZANOST RADA


Projekti:
MZOS-181-1811096-1795 - Osnovna inženjerskogeološka karta Republike Hrvatske (Buljan, Renato, MZOS ) ( CroRIS)

Ustanove:
Hrvatski geološki institut

Profili:

Avatar Url Vlatko Gulam (autor)

Avatar Url Luka Miklin (autor)

Avatar Url Laszlo Podolszki (autor)

Avatar Url Ivan Kosović (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

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 (međunarodna recenzija, članak, znanstveni)
Podolszki, L., Miklin, L., Kosović, I. & Gulam, V. (2023) Multi-Level Data Analyses in the Gajevo Landslide Research, Croatia. Remote Sensing, 15 (200), rs15010200, 19 doi:10.3390/rs15010200.
@article{article, author = {Podolszki, Laszlo and Miklin, Luka and Kosovi\'{c}, Ivan and Gulam, Vlatko}, year = {2023}, pages = {19}, DOI = {10.3390/rs15010200}, chapter = {rs15010200}, keywords = {multi-level data, landslide research, remote sensing, geophysical data, engineering geology, precipitation trends}, journal = {Remote Sensing}, doi = {10.3390/rs15010200}, volume = {15}, number = {200}, issn = {2072-4292}, title = {Multi-Level Data Analyses in the Gajevo Landslide Research, Croatia}, keyword = {multi-level data, landslide research, remote sensing, geophysical data, engineering geology, precipitation trends}, chapternumber = {rs15010200} }
@article{article, author = {Podolszki, Laszlo and Miklin, Luka and Kosovi\'{c}, Ivan and Gulam, Vlatko}, year = {2023}, pages = {19}, DOI = {10.3390/rs15010200}, chapter = {rs15010200}, keywords = {multi-level data, landslide research, remote sensing, geophysical data, engineering geology, precipitation trends}, journal = {Remote Sensing}, doi = {10.3390/rs15010200}, volume = {15}, number = {200}, issn = {2072-4292}, title = {Multi-Level Data Analyses in the Gajevo Landslide Research, Croatia}, keyword = {multi-level data, landslide research, remote sensing, geophysical data, engineering geology, precipitation trends}, chapternumber = {rs15010200} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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