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
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)
Citiraj ovu publikaciju:
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