Automated extraction of hierarchical catchments based on constrained Delaunay triangulation and river classification

Yaolin Liu; Martien Molenaar; Tinghua Ai; Yanfang Liu

doi:10.1117/12.538861

25 September 2003 Automated extraction of hierarchical catchments based on constrained Delaunay triangulation and river classification

Yaolin Liu, Martien Molenaar, Tinghua Ai, Yanfang Liu

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538861
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

Automated extraction of hierarchical catchments of river networks are fundamental to the automation of flow-routing management in distributed hydrologic models and to the morphometric evaluation of river network structure. An algorithm is proposed for automated extraction of hierarchical catchments from a river network database based on classiciation of river and constrained Delaunay triangulation network in this paper. At first the river network will be ordered by Horton's classification. Then triangulation network of this ordered river network will be constructed. This triangles in the triangulation network can be classified into several types based on their properties. These different types of triangles play an important role in analysis and building hierarchical catchments of river network. The algorithm has been tested in a test dataset.

Citation Download Citation

Yaolin Liu, Martien Molenaar, Tinghua Ai, and Yanfang Liu "Automated extraction of hierarchical catchments based on constrained Delaunay triangulation and river classification", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538861

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