Articles | Volume 15, issue 9
The Cryosphere, 15, 4557–4588, 2021
https://doi.org/10.5194/tc-15-4557-2021
The Cryosphere, 15, 4557–4588, 2021
https://doi.org/10.5194/tc-15-4557-2021

Research article 29 Sep 2021

Research article | 29 Sep 2021

Surface composition of debris-covered glaciers across the Himalaya using linear spectral unmixing of Landsat 8 OLI imagery

Adina E. Racoviteanu et al.

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Cited articles

Alifu, H., Johnson, B., and Tateishi, R.: Delineation of Debris-Covered Glaciers Based on a Combination of Geomorphometric Parameters and a TIR/NIR/SWIR Band Ratio, IEEE J. Sel. Top. Appl., 9, 781–792, https://doi.org/10.1109/JSTARS.2015.2500906, 2016. 
Anderson, L. S., Armstrong, W. H., Anderson, R. S., and Buri, P.: Debris cover and the thinning of Kennicott Glacier, Alaska: in situ measurements, automated ice cliff delineation and distributed melt estimates, The Cryosphere, 15, 265–282, https://doi.org/10.5194/tc-15-265-2021, 2021. 
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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.