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

Racoviteanu, Adina E.; Nicholson, Lindsey; Glasser, Neil F.

doi:https://doi.org/10.5194/tc-15-4557-2021

Articles | Volume 15, issue 9

The Cryosphere, 15, 4557–4588, 2021

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 Cryosphere, 15, 4557–4588, 2021

https://doi.org/10.5194/tc-15-4557-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

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.

Supplement

https://doi.org/10.5194/tc-15-4557-2021-supplement

Data sets

Supraglacial features of debris covered glaciers in the Himalaya from Landsat-8 spectral umixing and Pleiades Adina E. Racoviteanu, Lindsey Nicholson, and Neil Glasser https://doi.org/10.5281/zenodo.4421857

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.