(Article of periodic en Anglais - 2013)

Document title

Flow network derivation from a high resolution DEM in a low relief, agrarian landscape

Authors(s) and Affiliation(s)

SCHWANGHART W. (1 4) ; GROOM G. (2) ; KUHN N.J. (3) ; HECKRATH G. (4) ;
(1) Inst. of Earth and Environmental Sciences, Univ., Potsdam, ALLEMAGNE
(2) Dept. of Bioscience, Aarhus Univ., Rønde, DANEMARK
(3) Physical Geography and Environmental Change, Univ., Basel, SUISSE
(4) Dept. of Agroecology, Univ., Aarhus, DANEMARK


Digital flow networks derived from digital elevation models (DEMs) sensitively react to errors due to measurement, data processing and data representation. Automated and semi-automated procedures to reduce the impact of such errors on flow networks are therefore required. Here the AA. test and modify a state-of-the-art carving algorithm for flow network derivation in a low-relief, agricultural landscape characterized by a large number of spurious, topographic depressions. The results show that the investigated algorithm reconstructs a benchmark network insufficiently in terms of carving energy, distance and a topological network measure. The modification to the algorithm that performed best, combines the least-cost auxiliary topography (LCAT) carving with a constrained breaching algorithm that explicitly takes automatically identified channel locations into account. The AA. applied these methods to a low relief landscape, but the results can be transferred to flow network derivation of DEMs in moderate to mountainous relief in situations where the valley bottom is broad and flat and precise derivations of the flow networks are needed


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, no13 [pp. 1576-1586]

Bibliographic references : 1 p.

Collation : 9 fig.



INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3452

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
Refdoc record number (ud4) : 28338325 : Permanent link - XML version
Powered by Pxxo