(Article of periodic en Anglais - 2008)

Document title

Spectral filtering as a method of visualising and removing striped artefacts in digital elevation data

Authors(s) and Affiliation(s)

ARRELL K. (1) ; WISE S. (2) ; WOOD J. (3) ; DONOGHUE D. (4) ;
(1) School of Geography, Earth and Biosphere Institute, Univ., Leeds, ROYAUME-UNI
(2) Dept. of Geography, Univ., Sheffield, ROYAUME-UNI
(3) The giCentre, City Univ., London, ROYAUME-UNI
(4) Dept. of Geography, Univ., Durham, ROYAUME-UNI


Spectral filtering was compared with traditional mean spatial filters to assess their ability to identify and remove striped artefacts in digital elevation data. The techniques were applied to 2 datasets : a 100 m contour derived digital elevation model (DEM) of southern Norway and a 2m LiDAR DSM of the Lake District, UK. Both datasets contained diagonal data artefacts. Spectral filtering used fast Fourier transformation (FFT) frequency data to identify these data artefacts in both datasets. Artefacts were found to be heterogeneous through the surfaces, a result of their strong correlations with spatially autocorrelated variables : landcover and landsurface geometry. Spectrally filtered digital elevation datasets were found to provide a superior and more precise representation of the landsurface and be a more appropriate dataset for any subsequent geomorphological applications


Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2008, vol. 33, no6 [pp. 943-961]

Bibliographic references : 52 ref.

Collation : 9 fig., 5 tabl.



INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.1597

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2008
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