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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Mar 2023
Research article |
| 10 Mar 2023
| 10 Mar 2023
High-resolution debris-cover mapping using UAV-derived thermal imagery: limits and opportunities
Deniz Tobias Gök
CORRESPONDING AUTHOR
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473
Potsdam, Germany
Dirk Scherler
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473
Potsdam, Germany
Institute of Geological Sciences, Freie Universität Berlin, 12249
Berlin, Germany
Leif Stefan Anderson
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473
Potsdam, Germany
Department of Geology and Geophysics, University of Utah, Salt Lake City, UT 84112, United States
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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.
We performed high-resolution debris-thickness mapping using land surface temperature (LST)...
