Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 493–514, 2019
https://doi.org/10.5194/essd-11-493-2019
Earth Syst. Sci. Data, 11, 493–514, 2019
https://doi.org/10.5194/essd-11-493-2019
 
16 Apr 2019
16 Apr 2019

Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data

Simon Gascoin 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 Sensing, 10, 1982, https://doi.org/10.3390/rs10121982, 2018. a
Baetens, L., Desjardins, C., and Hagolle, O.: Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure, Remote Sensing, 11, 433, https://doi.org/10.3390/rs11040433, 2019. a
Blöschl, G.: Scaling issues in snow hydrology, Hydrol. Process., 13, 2149–2175, 1999. a, b
Bouchet, M.: Validation et amélioration des produits Surfaces Enneigées Sentinel-2, Zenodo, https://doi.org/10.5281/zenodo.1446460, 2018. a
Cohen, J.: A coefficient of agreement for nominal scales, Educ. Psychol. Meas., 20, 37–46, 1960. a
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Short summary
The Sentinel-2 satellite mission allows the observation of the land surface at unprecedented resolutions (20 m every 5 days). The frequency of observations can be further increased with Landsat-8. Here we describe a new collection of snow maps made from Sentinel-2 and Landsat-8 and evaluate their accuracy. The data are routinely produced over several mountain areas and freely distributed via http://theia.cnes.fr. These new data could unlock advances in our understanding of mountain ecosystems.