Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.153 IF 5.153
  • IF 5-year value: 5.460 IF 5-year
    5.460
  • CiteScore value: 7.8 CiteScore
    7.8
  • SNIP value: 1.623 SNIP 1.623
  • IPP value: 4.91 IPP 4.91
  • SJR value: 2.092 SJR 2.092
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 123 Scimago H
    index 123
  • h5-index value: 65 h5-index 65
Volume 19, issue 6
Hydrol. Earth Syst. Sci., 19, 2963–2969, 2015
https://doi.org/10.5194/hess-19-2963-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 2963–2969, 2015
https://doi.org/10.5194/hess-19-2963-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Technical note 26 Jun 2015

Technical note | 26 Jun 2015

Technical Note: Semi-automated effective width extraction from time-lapse RGB imagery of a remote, braided Greenlandic river

C. J. Gleason et al.

Viewed

Total article views: 1,711 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
982 667 62 1,711 91 96
  • HTML: 982
  • PDF: 667
  • XML: 62
  • Total: 1,711
  • BibTeX: 91
  • EndNote: 96
Views and downloads (calculated since 29 Jan 2015)
Cumulative views and downloads (calculated since 29 Jan 2015)

Cited

Saved (final revised paper)

Saved (preprint)

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 05 Aug 2020
Publications Copernicus
Download
Short summary
Here, we give a semi-automated processing workflow to extract hydraulic parameters from over 10,000 time-lapse images of the remote Isortoq River in Greenland. This workflow allows efficient and accurate (mean accuracy 79.6%) classification of images following an automated similarity filtering process. We also give an effective width hydrograph (a proxy for discharge) for the Isortoq using this workflow, showing the potential of this workflow for enhancing understanding of remote rivers.
Here, we give a semi-automated processing workflow to extract hydraulic parameters from over...
Citation