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(Article of periodic en Anglais - 2013)

Document title

Variations in multiscale curvature distribution and signatures of LiDAR DTM errors

Authors(s) and Affiliation(s)

SOFIA G. (1) ; PIROTTI F. (1) ; TAROLLI P. (1) ;
(1) Dept. of Land, Environment, Agriculture and Forestry, Univ. of Padova, Legnaro, ITALIE

Abstract

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

Source

Article of periodic

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

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

Millesime : 2013, vol. 38, no10 [pp. 1116-1134]

Bibliographic references : 3 p.

Collation : 13 fig., 5 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3363

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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