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

Auteur(s) et Affiliation(s)



Description :
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.


Type de document :
Article de périodique

Source :
Progress in physical geography, issn : 0309-1333, 2011, vol. 35, n°. 6, p. 739-764, nombre de pages : 26, Références bibliographiques : 4 p.

Date :
2011

Editeur :
Pays édition : Royaume-Uni, London, Sage Publications