Articles | Volume 15, issue 9
https://doi.org/10.5194/tc-15-4557-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-4557-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Sep 2021
Research article |
| 29 Sep 2021
| 29 Sep 2021
Surface composition of debris-covered glaciers across the Himalaya using linear spectral unmixing of Landsat 8 OLI imagery
Adina E. Racoviteanu
CORRESPONDING AUTHOR
Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth,
UK
Lindsey Nicholson
Department of Atmospheric and Cryospheric Sciences, University
of Innsbruck, Innsbruck, Austria
Neil F. Glasser
Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth,
UK
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Short summary
Supraglacial debris cover comprises ponds, exposed ice cliffs, debris material and vegetation. Understanding these features is important for glacier hydrology and related hazards. We use linear spectral unmixing of satellite data to assess the composition of map supraglacial debris across the Himalaya range in 2015. One of the highlights of this study is the automated mapping of supraglacial ponds, which complements and expands the existing supraglacial debris and lake databases.
Supraglacial debris cover comprises ponds, exposed ice cliffs, debris material and vegetation....
