Articles | Volume 17, issue 10
https://doi.org/10.5194/tc-17-4363-2023
https://doi.org/10.5194/tc-17-4363-2023
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

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

Adams, M. S., Bühler, Y., and Fromm, R.: Multitemporal accuracy and precision assessment of unmanned aerial system photogrammetry for slope-scale snow depth maps in Alpine terrain, Pure Appl. Geophys., 175, 3303–3324, https://doi.org/10.1007/s00024-017-1748-y, 2018. 
Agisoft: AgiSoft Metashape Professional (Version 1.6.0), AgiSoft [software], https://www.agisoft.com/downloads/installer/ (last access: 8 September 2019), 2019. 
Agisoft: Agisoft Metashape User Manual: Professional Edition, Version 2.0. Agisoft LLC, https://www.agisoft.com/pdf/metashape-pro_2_0_en.pdf (last access: 25 May 2023), 2023. 
Ala-aho, P., Tetzlaff, D., McNamara, J. P., Laudon, H., Kormos, P., and Soulsby, C.: Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach, Water Resour. Res., 53, 5813–5830, https://doi.org/10.1002/2017WR020650, 2017. 
Blume-Werry, G., Kreyling, J., Laudon, H., and Milbau, A.: Short-term climate change manipulation effects do not scale up to long-term legacies: Effects of an absent snow cover on boreal forest plants, J. Ecol., 104, 1638–1648, https://doi.org/10.1111/1365-2745.12636, 2016. 
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.