The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 10
Articles | Volume 17, issue 10
https://doi.org/10.5194/tc-17-4363-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-4363-2023
© 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 2: Snow processes and snow–canopy interactions

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

Viewed

Total article views: 2,766 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,053 642 71 2,766 215 99 98
  • HTML: 2,053
  • PDF: 642
  • XML: 71
  • Total: 2,766
  • Supplement: 215
  • BibTeX: 99
  • EndNote: 98
Views and downloads (calculated since 02 Jan 2023)
Cumulative views and downloads (calculated since 02 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,766 (including HTML, PDF, and XML) Thereof 2,698 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
Information on seasonal snow cover is essential in understanding snow processes and operational forecasting. We study the spatiotemporal variability in snow depth and snow processes in a subarctic, boreal landscape using drones. We identified multiple theoretically known snow processes and interactions between snow and vegetation. The results highlight the applicability of the drones to be used for a detailed study of snow depth in multiple land cover types and snow–vegetation interactions.
Read more
Share