Articles | Volume 19, issue 9
https://doi.org/10.5194/tc-19-3939-2025
https://doi.org/10.5194/tc-19-3939-2025
Research article
 | 
18 Sep 2025
Research article |  | 18 Sep 2025

Snow depth derived from Sentinel-1 compared to in situ observations in northern Finland

Adriano Lemos and Aku Riihelä

Related authors

Spaceborne infrared imagery for early detection of Weddell Polynya opening
Céline Heuzé, Lu Zhou, Martin Mohrmann, and Adriano Lemos
The Cryosphere, 15, 3401–3421, https://doi.org/10.5194/tc-15-3401-2021,https://doi.org/10.5194/tc-15-3401-2021, 2021
Short summary

Cited articles

Aalto, J., Pirinen, P., and Jylhä, K.: New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate, J. Geophys. Res., 121, 3807–3823, https://doi.org/10.1002/2015JD024651, 2016. 
Awasthi, S. and Varade, D.: Recent advances in the remote sensing of alpine snow: a review, Gisci. Remote Sens., 58, 852–888, https://doi.org/10.1080/15481603.2021.1946938, 2021. 
Bernier, M. and Fortin, J. P.: The potential of time series of C-Band SAR data to monitor dry and shallow snow cover, IEEE T. Geosci. Remote, 36, 226–243, https://doi.org/10.1109/36.655332, 1998. 
Dunmire, D., Lievens, H., Boeykens, L., and de Lannoy, G. J. M.: A machine learning approach for estimating snow depth across the European Alps from Sentinel-1 imagery, Remote Sens. Environ., 314, 114369, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2024.114369, 2024. 
Feng, T., Hao, X., Wang, J., Li, H., and Zhang, J.: Quantitative evaluation of the soil signal effect on the correlation between sentinel-1 cross ratio and snow depth, Remote Sens.-Basel, 13, 4691, https://doi.org/10.3390/rs13224691, 2021. 
Download
Short summary
Here we used satellite imagery to measure snow depth in northern Finland and compared our results to on-site measurements from 2019–2022. We correlated snow depths and vegetation coverage and found thicker snow over non-vegetated areas and frozen waterbodies due to the satellite's sensitivity. Our estimates showed underestimated results of snow depth and need further investigation, but they show potential in monitoring seasonal snow changes, particularly where direct measurements are lacking.
Share