(Article of periodic en Anglais - 2011)

Document title

A probabilistic approach to river network detection in digital elevation models

Authors(s) and Affiliation(s)

POGGIO L. (1) ; SOILLE P. (2) ;
(1) The James Hutton Inst., Aberdeen, ROYAUME-UNI
(2) Joint Research Centre, European Commission, Ispra, ITALIE


This study proposes a method to indicate which is the river network maximising the sum of the probability values along the network, given a map reporting the likelihood that a cell belongs to the network itself. The method is considering the inverse of the channel probability map as pseudo-DEM from which drainage networks are derived. A reference network is used to assess the spatial match of the extracted river networks using the Euclidean distance as simple comparison parameter. The network extracted from the inverse of the channel probability map is the closest to the reference. The use of a probabilistic approach to error modelling significantly increases the values of channel probability for extracted river networks and the spatial match with a ground reference datase


Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2011, vol. 87, no3 [pp. 341-350]

Bibliographic references : 1 p.

Collation : 7 fig., 5 tabl.



INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2011.07.001

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2011
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