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Article

A River Channel Extraction Method Based on a Digital Elevation Model Retrieved from Satellite Imagery

1
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
2
State Key Laboratory of Simulation and Regulation of Water Cycle River Basin, China Institute of Water Resources and Hydropower, Beijing 100038, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Chang Huang
Water 2022, 14(15), 2387; https://doi.org/10.3390/w14152387
Received: 31 May 2022 / Revised: 28 June 2022 / Accepted: 29 July 2022 / Published: 1 August 2022
The river border positioning is an important part of river surveys, which is crucial for water conservation project development, water resource use, water disasters, river regime monitoring, and many other applications related to water resources. Currently, satellite images or field measurements are used to extract river channels. However, satellite images are insufficiently precise, and field measurement requires significant manpower and cost. In this paper, a new method for river channel extraction is proposed, which is based on the combination of Jenks natural breaks classification method and digital elevation model (DEM), and then the river channel range is complemented by using the water range monitored by GF-1(Gaofen-1 satellite) in flood season. The overall precision is greater than 85%, and the Kappa values achieve moderate stability (0.41–0.60). Using this method, the extraction of river range is practicable and achievable, and the higher the DEM resolution, the better the extraction result. View Full-Text
Keywords: river channel extraction; DEM; Jenks; GF-1 river channel extraction; DEM; Jenks; GF-1
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MDPI and ACS Style

Gui, R.; Song, W.; Pu, X.; Lu, Y.; Liu, C.; Chen, L. A River Channel Extraction Method Based on a Digital Elevation Model Retrieved from Satellite Imagery. Water 2022, 14, 2387. https://doi.org/10.3390/w14152387

AMA Style

Gui R, Song W, Pu X, Lu Y, Liu C, Chen L. A River Channel Extraction Method Based on a Digital Elevation Model Retrieved from Satellite Imagery. Water. 2022; 14(15):2387. https://doi.org/10.3390/w14152387

Chicago/Turabian Style

Gui, Rongjie, Wenlong Song, Xiao Pu, Yizhu Lu, Changjun Liu, and Long Chen. 2022. "A River Channel Extraction Method Based on a Digital Elevation Model Retrieved from Satellite Imagery" Water 14, no. 15: 2387. https://doi.org/10.3390/w14152387

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