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