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Variations in multiscale curvature distribution and signatures of LiDAR DTM errors

Auteur(s) et Affiliation(s)

SOFIA, G.
Dept. of Land, Environment, Agriculture and Forestry, Univ. of Padova, Legnaro, Italie
PIROTTI, F.
Dept. of Land, Environment, Agriculture and Forestry, Univ. of Padova, Legnaro, Italie
TAROLLI, P.
Dept. of Land, Environment, Agriculture and Forestry, Univ. of Padova, Legnaro, Italie


Description :
This work analyzes Minimum Curvature distributions to identify the statistical signature of 2 types of LiDAR-DTM errors (outliers and striping artifacts) in the derived estimates, rather than morphology itself. The analysis shows the importance of modeling these errors correctly, in relation to the scale of analysis and DTM resolution, in order to have reliable curvature estimates. Nine DTMs of different morphological areas are considered, and grouped into a training dataset (without errors) and a test dataset (with errors). This study shows that the curvature distributions are impacted upon differently by striping artifacts and outliers, and that these are clearly distinguishable from the signal of morphological features : a scale-dependent change in curvature distribution can therefore be interpreted as the signature of these specific errors, rather than morphology.


Type de document :
Article de périodique

Source :
Earth surface processes and landforms, issn : 0197-9337, 2013, vol. 38, n°. 10, p. 1116-1134, nombre de pages : 19, Références bibliographiques : 3 p.

Date :
2013

Editeur :
Pays édition : Royaume-Uni, Chichester, Wiley

Langue :
Anglais
Droits :
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