(Article of periodic en Anglais - 2009)

Document title

The potential of digital filtering of generic topographic data for geomorphological research

Authors(s) and Affiliation(s)

MILLEDGE D.G. (1) ; LANE S.N. (1) ; WARBURTON J. (1) ;
(1) Dep. of Geography, Univ., Durham, ROYAUME-UNI


The AA. evaluate the ability of digital filters to improve topographic representation using : 1) a Gaussian noise removal filter; 2) the proprietary filters commonly applied to these datasets; and 3) a terrain sensitive filter, similar to those applied to laser altimetry data. Topographic representation is assessed in terms of both absolute accuracy measured with reference to independent check data and derived geomorphological variables (slope, upslope contributing area, topographic index and landslide failure probability) from a steepland catchment in northern England. Results suggest that proprietary filters often degrade or fail to improve precision. A combination of terrain sensitive and Gaussian filters performs best for both IfSAR and digital photogrammetry datasets, imroving the precision of photogrammetry digital elevation models (DEMs) by more than 50 per cent relative to the unfiltered data. These improvements propagate through derived variables in a landslide prediction model, to reduce the area of predicted instability by up to 29 per cent of the study area


Article of periodic

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

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

Millesime : 2009, vol. 34, no1 [pp. 63-74]

Bibliographic references : 1,5 p.

Collation : 8 fig., 2 tabl.



INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.1691

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2009
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