The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/tc-17-1165-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-1165-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Research article
 | 
10 Mar 2023
Research article |  | 10 Mar 2023

High-resolution debris-cover mapping using UAV-derived thermal imagery: limits and opportunities

Deniz Tobias Gök, Dirk Scherler, and Leif Stefan Anderson

Data sets

High-resolution debris cover mapping using UAV-derived thermal imagery D. T. Gök, D. Scherler, and L. S. Anderson https://doi.org/10.5880/GFZ.3.3.2022.003

Model code and software

High-resolution debris cover mapping using UAV-derived thermal imagery D. T. Gök, D. Scherler, and L. S. Anderson https://doi.org/10.5880/GFZ.3.3.2022.003

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Short summary
We performed high-resolution debris-thickness mapping using land surface temperature (LST) measured from an unpiloted aerial vehicle (UAV) at various times of the day. LSTs from UAVs require calibration that varies in time. We test two approaches to quantify supraglacial debris cover, and we find that the non-linearity of the relationship between LST and debris thickness increases with LST. Choosing the best model to predict debris thickness depends on the time of the day and the terrain aspect.
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