(Article of periodic en Anglais - 2011)

Document title

Techniques for quantifying the accuracy of gridded elevation models and for mapping uncertainty in digital terrain analysis

Authors(s) and Affiliation(s)

(1) Univ. Paris Diderot, Paris, FRANCE
(2) Univ. Lumière-Lyon 2, Lyon, FRANCE
(3) Univ., Nice, FRANCE


The AA. first provide a critical review of statistical procedures employed in the literature for testing uncertainty in digital terrain analysis, then focus on several aspects of spatial autocorrelation that have been neglected in the analysis of gridded elevation data. In an example focusing on the Wasatch mountain front, Utah, they analyse the relative advantages of 6 DEMs resulting from different acquisition modes (airborne, optical, radar, or composite): the LiDAR (2 m), CODEM (5 m), NED10 (10 m), ASTER DEM (15 m) and GDEM (30 m), and SRTM (90 m). The example shows that (apart from the LiDAR) the NED10, which is generated from composite data sources, is the least error-ridden DEM for that region. Knowing error magnitudes and where errors are located clarifies how they might affect expert judgement in environmental decisions


Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2011, vol. 35, no6 [pp. 739-764]

Bibliographic references : 4 p.

Collation : 11 fig., 3 tabl.



INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133311409086

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012
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