DocumentCode :
1591119
Title :
An algorithm for drainage network extraction from digital elevation model
Author :
Ruichao, Zhang ; Haijian, Ye ; Yan, Wang
Author_Institution :
Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
fYear :
2010
Firstpage :
271
Lastpage :
275
Abstract :
Due to the complexity of the landscape in the Loess Plateau region, having more features mutation, it is very difficult to accurately describe the terrain and carry out the terrain feature analysis. And the existing automatic extraction method for drainage network could not meet the requirements, whether in time consumption or calculation accuracy. On base of reviewing the algorithms of automated extraction of stream network from digital elevation models (DEMs), this proposed method ameliorate the D8-algorithm.To classify the sections of the valley extracted by this method, the paper also gives an algorithm of encoding for drainage network. Experiments on the data of the Luoyugou Watershed on the Loess Plateau prove that the algorithm is more efficient than the original one, and drainage network can be extracted easily, which lays the foundation for terrain feature analysis.
Keywords :
digital elevation models; geomorphology; hydrological techniques; hydrology; China; D8-algorithm; Loess Plateau region; Luoyugou Watershed; automatic extraction method comparison; digital elevation model; drainage network extraction; terrain feature analysis; Algorithm design and analysis; Classification algorithms; Complexity theory; Data mining; Digital elevation models; Encoding; Feature extraction; DEM; algorithm; drainage network; terrain feature analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
ISSN :
2154-4824
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
Type :
conf
Filename :
5665490
Link To Document :
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