The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 10
Articles | Volume 17, issue 10
https://doi.org/10.5194/tc-17-4343-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-4343-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 10
Research article
 | 
17 Oct 2023
Research article |  | 17 Oct 2023

Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 1: Measurements, processing, and accuracy assessment

Anssi Rauhala, Leo-Juhani Meriö, Anton Kuzmin, Pasi Korpelainen, Pertti Ala-aho, Timo Kumpula, Bjørn Kløve, and Hannu Marttila

Viewed

Total article views: 3,199 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,893 1,196 110 3,199 271 115 189
  • HTML: 1,893
  • PDF: 1,196
  • XML: 110
  • Total: 3,199
  • Supplement: 271
  • BibTeX: 115
  • EndNote: 189
Views and downloads (calculated since 20 Dec 2022)
Cumulative views and downloads (calculated since 20 Dec 2022)

Viewed (geographical distribution)

Total article views: 3,199 (including HTML, PDF, and XML) Thereof 3,096 with geography defined and 103 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 May 2026
Download
Short summary
Snow conditions in the Northern Hemisphere are rapidly changing, and information on snow depth is important for decision-making. We present snow depth measurements using different drones throughout the winter at a subarctic site. Generally, all drones produced good estimates of snow depth in open areas. However, differences were observed in the accuracies produced by the different drones, and a reduction in accuracy was observed when moving from an open mire area to forest-covered areas.
Read more
Share