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Pregled bibliografske jedinice broj: 925504

GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data


Jordan, Gyozo; Petrik, Attila; De Vivo, Benedetto; Albanese, Stefano; Demetriades, Alecos; Sadeghi, Martiya; The GEMAS Project Team; ...; Halamić, Josip; ... Husnjak, Stjepan et al.
GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data // Jorunal of Geochemical Exploration, 186 (2018), 143-157 doi:https://www.sciencedirect.com/science/article/pii/S0375674217305800 (podatak o recenziji nije dostupan, članak, znanstveni)


CROSBI ID: 925504 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data

Autori
Jordan, Gyozo ; Petrik, Attila ; De Vivo, Benedetto ; Albanese, Stefano ; Demetriades, Alecos ; Sadeghi, Martiya ; The GEMAS Project Team ; ... ; Halamić, Josip ; ... Husnjak, Stjepan ; ... Šorša, Ajka ; ...

Izvornik
Jorunal of Geochemical Exploration (0375-6742) 186 (2018); 143-157

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

Ključne riječi
Univariate statistic, numerical differential calculation, spatial pattern, lineament analysis, lithology, soil parent material

Sažetak
This study demonstrates the use of digital image processing for the spatial pattern recognition and characterisation of Ni concentrations in topsoil in Europe. Moving average smoothing was applied to the TIN- interpolated grid model to suppress small irregularities. Digital image processing was applied then to the grid. Several NE-SW, E-W and NW-SE oriented features were revealed at the continental scale. The dominant NE-SW linear features follow the Variscan and Alpine orogenies. The highest variability zones are in the Alps and the Balkans where mafic and ultramafic rocks outcrop. A single major E-W oriented north-facing feature runs along the last continental glaciation zone. This zone also coincides with a series of local maxima in Ni concentration along the glaciofluvial deposits. The NW-SE elongated features are located in the Pyrenees, northern Italy, Hellas and Fennoscandia. This study demonstrates the advantages of digital image processing analysis in identifying and characterising spatial geochemical patterns unseen before on conventional colour-surface maps.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Poljoprivreda (agronomija)



POVEZANOST RADA


Projekti:
GEMAS

Ustanove:
Agronomski fakultet, Zagreb,
Hrvatski geološki institut

Profili:

Avatar Url Ajka Šorša (autor)

Avatar Url Stjepan Husnjak (autor)

Avatar Url Josip Halamić (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Jordan, Gyozo; Petrik, Attila; De Vivo, Benedetto; Albanese, Stefano; Demetriades, Alecos; Sadeghi, Martiya; The GEMAS Project Team; ...; Halamić, Josip; ... Husnjak, Stjepan et al.
GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data // Jorunal of Geochemical Exploration, 186 (2018), 143-157 doi:https://www.sciencedirect.com/science/article/pii/S0375674217305800 (podatak o recenziji nije dostupan, članak, znanstveni)
Jordan, G., Petrik, A., De Vivo, B., Albanese, S., Demetriades, A., Sadeghi, M., The GEMAS Project Team, ..., Halamić, J. & ... Husnjak, S. (2018) GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data. Jorunal of Geochemical Exploration, 186, 143-157 doi:https://www.sciencedirect.com/science/article/pii/S0375674217305800.
@article{article, author = {Jordan, Gyozo and Petrik, Attila and De Vivo, Benedetto and Albanese, Stefano and Demetriades, Alecos and Sadeghi, Martiya and Halami\'{c}, Josip and ... Husnjak, Stjepan and ... \v{S}or\v{s}a, Ajka}, year = {2018}, pages = {143-157}, DOI = {https://www.sciencedirect.com/science/article/pii/S0375674217305800}, keywords = {Univariate statistic, numerical differential calculation, spatial pattern, lineament analysis, lithology, soil parent material}, journal = {Jorunal of Geochemical Exploration}, doi = {https://www.sciencedirect.com/science/article/pii/S0375674217305800}, volume = {186}, issn = {0375-6742}, title = {GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data}, keyword = {Univariate statistic, numerical differential calculation, spatial pattern, lineament analysis, lithology, soil parent material} }
@article{article, author = {Jordan, Gyozo and Petrik, Attila and De Vivo, Benedetto and Albanese, Stefano and Demetriades, Alecos and Sadeghi, Martiya and Halami\'{c}, Josip and ... Husnjak, Stjepan and ... \v{S}or\v{s}a, Ajka}, year = {2018}, pages = {143-157}, DOI = {https://www.sciencedirect.com/science/article/pii/S0375674217305800}, keywords = {Univariate statistic, numerical differential calculation, spatial pattern, lineament analysis, lithology, soil parent material}, journal = {Jorunal of Geochemical Exploration}, doi = {https://www.sciencedirect.com/science/article/pii/S0375674217305800}, volume = {186}, issn = {0375-6742}, title = {GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data}, keyword = {Univariate statistic, numerical differential calculation, spatial pattern, lineament analysis, lithology, soil parent material} }

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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