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Pregled bibliografske jedinice broj: 963547

Application of GIS procedure for river terrace extraction from LiDAR- based digital elevation model: the Sava River Valley NW of Zagreb, Croatia


Trenc, Neven; Matoš, Bojan; Velić, Josipa; Perković, Dario
Application of GIS procedure for river terrace extraction from LiDAR- based digital elevation model: the Sava River Valley NW of Zagreb, Croatia // Rudarsko-geološko-naftni zbornik, 34 (2019), 1; 59-70 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 963547 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application of GIS procedure for river terrace extraction from LiDAR- based digital elevation model: the Sava River Valley NW of Zagreb, Croatia

Autori
Trenc, Neven ; Matoš, Bojan ; Velić, Josipa ; Perković, Dario

Izvornik
Rudarsko-geološko-naftni zbornik (0353-4529) 34 (2019), 1; 59-70

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

Ključne riječi
fluvial morphology ; terraces ; Holocene ; DEM ; LiDAR ; TerEx (GIS)

Sažetak
River terraces and floodplains indicate channel-sediment dynamics and represent important landform features, which can be used to untangle evolutionary history of climate and tectonic conditions in a certain area. With availability of high-resolution topographic data, it has recently has become feasible to apply GIS procedures for the identification of these subtle landform features. In this study, the TerEx Toolbox, a GIS extension for semiautomatic terrace extraction was applied on the LiDAR based DEM of the Sava River, west of Zagreb in Croatia. The aim of the research was to compare results obtained by TerEx to the existing geological map from 1970s, which shows sediments of the recent flow (routinely flooded area) and two abandoned Holocene river terraces in the study area. The TerEx output was validated using hillshaded DEM, a historical map of the study area, orthophoto imagery, topographic cross sections and field investigations. TerEx has successfully extracted Holocene terraces and risers shown on the geological but in some parts of the study area their position and extent was different. The presented study shows that results obtained by TerEx, in particular if used in combination with other data sources, can effectively focus fieldwork and contribute to new unbiased interpretation of terrain morphology.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA


Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb,
Sveučilište u Zagrebu

Profili:

Avatar Url Josipa Velić (autor)

Avatar Url Bojan Matoš (autor)

Avatar Url Dario Perković (autor)

Avatar Url Neven Trenc (autor)

Poveznice na cjeloviti tekst rada:

hrcak.srce.hr

Citiraj ovu publikaciju:

Trenc, Neven; Matoš, Bojan; Velić, Josipa; Perković, Dario
Application of GIS procedure for river terrace extraction from LiDAR- based digital elevation model: the Sava River Valley NW of Zagreb, Croatia // Rudarsko-geološko-naftni zbornik, 34 (2019), 1; 59-70 (međunarodna recenzija, članak, znanstveni)
Trenc, N., Matoš, B., Velić, J. & Perković, D. (2019) Application of GIS procedure for river terrace extraction from LiDAR- based digital elevation model: the Sava River Valley NW of Zagreb, Croatia. Rudarsko-geološko-naftni zbornik, 34 (1), 59-70.
@article{article, author = {Trenc, Neven and Mato\v{s}, Bojan and Veli\'{c}, Josipa and Perkovi\'{c}, Dario}, year = {2019}, pages = {59-70}, keywords = {fluvial morphology, terraces, Holocene, DEM, LiDAR, TerEx (GIS)}, journal = {Rudarsko-geolo\v{s}ko-naftni zbornik}, volume = {34}, number = {1}, issn = {0353-4529}, title = {Application of GIS procedure for river terrace extraction from LiDAR- based digital elevation model: the Sava River Valley NW of Zagreb, Croatia}, keyword = {fluvial morphology, terraces, Holocene, DEM, LiDAR, TerEx (GIS)} }
@article{article, author = {Trenc, Neven and Mato\v{s}, Bojan and Veli\'{c}, Josipa and Perkovi\'{c}, Dario}, year = {2019}, pages = {59-70}, keywords = {fluvial morphology, terraces, Holocene, DEM, LiDAR, TerEx (GIS)}, journal = {Rudarsko-geolo\v{s}ko-naftni zbornik}, volume = {34}, number = {1}, issn = {0353-4529}, title = {Application of GIS procedure for river terrace extraction from LiDAR- based digital elevation model: the Sava River Valley NW of Zagreb, Croatia}, keyword = {fluvial morphology, terraces, Holocene, DEM, LiDAR, TerEx (GIS)} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • GeoRef
  • Chemical Abstracts
  • Emerging Sources Citation Index (Thomson Reuters), Compendex, Geo Abstracts (Geobase), Fluidex, Scopus (Elsevier)





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