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Pregled bibliografske jedinice broj: 1168326

Multi-Level Sensing Technologies in Landslide Research — Hrvatska Kostajnica Case Study, Croatia


Podolszki, Laszlo; Kosović, Ivan; Novosel, Tomislav; Kurečić, Tomislav
Multi-Level Sensing Technologies in Landslide Research — Hrvatska Kostajnica Case Study, Croatia // Sensors, 22 (2022), 1; 177, 21 doi:https://www.mdpi.com/1424-8220/22/1/177 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1168326 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Multi-Level Sensing Technologies in Landslide Research — Hrvatska Kostajnica Case Study, Croatia

Autori
Podolszki, Laszlo ; Kosović, Ivan ; Novosel, Tomislav ; Kurečić, Tomislav

Izvornik
Sensors (1424-8220) 22 (2022), 1; 177, 21

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

Ključne riječi
multi-level remote sensing of soil and rock ; different level data sets analysis ; model development ; landslide ; case study

Sažetak
In March 2018, a landslide in Hrvatska Kostajnica completely destroyed multiple households. The damage was extensive, and lives were endangered. The question remains: Can it happen again? To enhance the knowledge and understanding of the soil and rock behaviour before, during, and after this geo-hazard event, multi-level sensing technologies in landslide research were applied. Day after the event field mapping and unmanned aerial vehicle (UAV) data were collected with the inspection of available orthophoto and “geo” data. For the landslide, a new geological column was developed with mineralogical and geochemical analyses. The application of differential interferometric synthetic aperture radar (DInSAR) for detecting ground surface displacement was undertaken in order to determine pre-failure behaviour and to give indications about post-failure deformations. In 2020, electrical resistivity tomography (ERT) in the landslide body was undertaken to determine the depth of the landslide surface, and in 2021 ERT measurements in the vicinity of the landslide area were performed to obtain undisturbed material properties. Moreover, in 2021, detailed light detection and ranging (LIDAR) data were acquired for the area. All these different level data sets are being analyzed in order to develop a reliable landslide model as a first step towards answering the aforementioned question. Based on applied multi- level sensing technologies and acquired data, the landslide model is taking shape. However, further detailed research is still recommended.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA


Projekti:
EK-H2020-809943 - Strengthening research in the Croatian Geological Survey: Geoscience-Twinning to develop state-of-the-art subsurface modelling capability and scientific impact (GeoTwinn) (EK - H2020-WIDESPREAD-05-2017-Twinning) ( CroRIS)
MZOS-181-1811096-1795 - Osnovna inženjerskogeološka karta Republike Hrvatske (Buljan, Renato, MZOS ) ( CroRIS)

Ustanove:
Hrvatski geološki institut

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Podolszki, Laszlo; Kosović, Ivan; Novosel, Tomislav; Kurečić, Tomislav
Multi-Level Sensing Technologies in Landslide Research — Hrvatska Kostajnica Case Study, Croatia // Sensors, 22 (2022), 1; 177, 21 doi:https://www.mdpi.com/1424-8220/22/1/177 (međunarodna recenzija, članak, znanstveni)
Podolszki, L., Kosović, I., Novosel, T. & Kurečić, T. (2022) Multi-Level Sensing Technologies in Landslide Research — Hrvatska Kostajnica Case Study, Croatia. Sensors, 22 (1), 177, 21 doi:https://www.mdpi.com/1424-8220/22/1/177.
@article{article, author = {Podolszki, Laszlo and Kosovi\'{c}, Ivan and Novosel, Tomislav and Kure\v{c}i\'{c}, Tomislav}, year = {2022}, pages = {21}, DOI = {https://www.mdpi.com/1424-8220/22/1/177}, chapter = {177}, keywords = {multi-level remote sensing of soil and rock, different level data sets analysis, model development, landslide, case study}, journal = {Sensors}, doi = {https://www.mdpi.com/1424-8220/22/1/177}, volume = {22}, number = {1}, issn = {1424-8220}, title = {Multi-Level Sensing Technologies in Landslide Research — Hrvatska Kostajnica Case Study, Croatia}, keyword = {multi-level remote sensing of soil and rock, different level data sets analysis, model development, landslide, case study}, chapternumber = {177} }
@article{article, author = {Podolszki, Laszlo and Kosovi\'{c}, Ivan and Novosel, Tomislav and Kure\v{c}i\'{c}, Tomislav}, year = {2022}, pages = {21}, DOI = {https://www.mdpi.com/1424-8220/22/1/177}, chapter = {177}, keywords = {multi-level remote sensing of soil and rock, different level data sets analysis, model development, landslide, case study}, journal = {Sensors}, doi = {https://www.mdpi.com/1424-8220/22/1/177}, volume = {22}, number = {1}, issn = {1424-8220}, title = {Multi-Level Sensing Technologies in Landslide Research — Hrvatska Kostajnica Case Study, Croatia}, keyword = {multi-level remote sensing of soil and rock, different level data sets analysis, model development, landslide, case study}, chapternumber = {177} }

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
  • MEDLINE


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