Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 125, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2020.104624
Keywords
Channel head recognition; Change point detection; Drainage network extraction; Geomorphologic parameter; D8 flow direction
Categories
Funding
- National Key Research and Development Program of China [2016YFE0201900, 2017YFC0403600]
- National Natural Science Foundation of China [91547204, 51579131, 51569026]
- State Key Laboratory of Hydroscience and Engineering of China [2017-KY-04]
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As the resolution of DEMs is becoming higher, both the efficiency and accuracy of channel head recognition are important for drainage network extraction. In this paper, a D8-compatible high-efficient channel head recognition method is proposed. For each potential channel, this method first calculates a geomorphologic parameter series along the flow path, and then determines the channel head by detecting the change point in the series. Instead of directly using one threshold value for a whole region that is still commonly used in D8-based methods, the proposed method recognizes channel heads by their local geomorphology one by one. The proposed method is applied with high resolution DEMs for different terrains, and the identified channel heads and extracted drainage networks show good agreement with observations. In comparison with a popular software with state-of-the-art channel head recognition method, the proposed one shows similar accuracy but much higher computational efficiency.
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