Articles | Volume 15, issue 10
The Cryosphere, 15, 4975–4980, 2021
The Cryosphere, 15, 4975–4980, 2021
Brief communication
26 Oct 2021
Brief communication | 26 Oct 2021

Brief communication: Evaluation of the snow cover detection in the Copernicus High Resolution Snow & Ice Monitoring Service

Zacharie Barrou Dumont et al.

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Cited articles

Baba, M. W., Gascoin, S., and Hanich, L.: Assimilation of Sentinel-2 data into a snowpack model in the High Atlas of Morocco, Remote Sens., 10, 1982,, 2018. 
Buchhorn, M., Smets, B., Bertels, L., De Roo, B., Lesiv, M., Tsendbazar, N.-E., Li, L., and Tarko, A.: Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015–2019: Product User Manual, Zenodo [data set],, 2020. 
Copernicus Land Monitoring Service:High Resolution Snow and Ice Monitoring, available at:, last access: 21 October 2021. 
Copernicus Land Monitoring Service: Tree Cover Density, available at:, last access: 21 October 2021. 
Dedieu, J.-P., Carlson, B. Z., Bigot, S., Sirguey, P., Vionnet, V., and Choler, P.: On the Importance of High-Resolution Time Series of Optical Imagery for Quantifying the Effects of Snow Cover Duration on Alpine Plant Habitat, Remote Sens., 8, 481,, 2016. 
Short summary
Since 2020, the Copernicus High Resolution Snow & Ice Monitoring Service has distributed snow cover maps at 20 m resolution over Europe in near-real time. These products are derived from the Sentinel-2 Earth observation mission, with a revisit time of 5 d or less (cloud-permitting). Here we show the good accuracy of the snow detection over a wide range of regions in Europe, except in dense forest regions where the snow cover is hidden by the trees.