EGU23-7453, updated on 29 Nov 2024
https://doi.org/10.5194/egusphere-egu23-7453
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Extract an accurate river network

Qiuyang Chen, Simon Mudd, Mikael Attal, and Steven Hancock
Qiuyang Chen et al.
  • University of Edinburgh, School of Geosciences, Global Change, United Kingdom of Great Britain – England, Scotland, Wales (s2135982@ed.ac.uk)

Due to the limited resolution of freely available digital elevation models (DEM), DEM-derived river products cannot provide accurate flow lines in inland and lowland areas. Stream burning is used to improve the accuracy of extracted flowlines in addition to other flow routing algorithms (from LSDTopotools). Using the latest DEM products (Copernicus 30m DEM and FAB 30m DEM) and other remote sensing data (Sentinel-1, Sentinel-2), the framework is tested on different geomorphological features (meanders, branches) and weather conditions (with and without clouds). The results show a significant improvement in the accuracy of the flow lines compared with existing global hydrography products.

How to cite: Chen, Q., Mudd, S., Attal, M., and Hancock, S.: Extract an accurate river network, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-7453, https://doi.org/10.5194/egusphere-egu23-7453, 2023.