A probabilistic approach to river network detection in digital elevation models

Auteur(s) et Affiliation(s)



Description :
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.


Type de document :
Article de périodique

Source :
Catena (Giessen), issn : 0341-8162, 2011, vol. 87, n°. 3, p. 341-350, nombre de pages : 10, Références bibliographiques : 1 p.

Date :
2011

Editeur :
Pays édition : Allemagne, Cremlingen-Destedt, Catena