Articles | Volume 11, issue 2
https://doi.org/10.5194/essd-11-493-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-493-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data
Simon Gascoin
CORRESPONDING AUTHOR
CESBIO, Université de Toulouse, CNRS/CNES/IRD/INRA/UPS, Toulouse, France
Manuel Grizonnet
CNES, Toulouse, France
Marine Bouchet
CESBIO, Université de Toulouse, CNRS/CNES/IRD/INRA/UPS, Toulouse, France
Germain Salgues
CNES, Toulouse, France
Magellium, Toulouse, France
Olivier Hagolle
CESBIO, Université de Toulouse, CNRS/CNES/IRD/INRA/UPS, Toulouse, France
CNES, Toulouse, France
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- An agenda for the future of Arctic snow research: the view from Svalbard C. Zdanowicz et al. 10.33265/polar.v42.8827
- Hyper-resolution ensemble-based snow reanalysis in mountain regions using clustering J. Fiddes et al. 10.5194/hess-23-4717-2019
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Latest update: 23 Nov 2024
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.
The Sentinel-2 satellite mission allows the observation of the land surface at unprecedented...
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