EGU2020-3015
https://doi.org/10.5194/egusphere-egu2020-3015
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

River profiles from digital elevation models – limitations and new ideas

Stefan Hergarten1 and Jörg Robl2
Stefan Hergarten and Jörg Robl
  • 1Universität Freiburg, Institut für Geo- und Umweltnaturwissenschaften, Freiburg, Germany (stefan.hergarten@geologie.uni-freiburg.de)
  • 2Universität Salzburg, Institut für Geographie und Geologie, Salzburg, Austria (joerg.robl@sbg.ac.at)

Longitudinal river profiles have been a central if not even the most important subject in tectonic geomorphology since the 1950s. During the last decades, considerable progress has been made in unraveling the tectonic history from river profiles. Going along with the rapidly increasing availability of DEMs, however, scientists try to derive more and more information from the topography. So the quality of the DEM is still a limiting factor in many studies. In particular, local channel slopes are strongly affected by the DEM. Several approaches have been proposed in order to reduce the errors and to distinguish specific features such as knickpoints from noise of the DEM.

In this study we use DEMs with a mesh width of 1 m obtained from airborne laser scans and reduce their resolution artificially in order to analyze the effect of the mesh width on the accuracy of river profiles systematically. Based on the results, we present an idea how the errors in channel slope could be reduced with focus on narrow valleys. Going beyond the majority of the previously published approaches, our idea does not only take into account the elevation along the river profile, but also the curvature of the topography in direction normal to the valley floor.

 

How to cite: Hergarten, S. and Robl, J.: River profiles from digital elevation models – limitations and new ideas, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3015, https://doi.org/10.5194/egusphere-egu2020-3015, 2020