Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2387-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-2387-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2023
Research article |
| 21 Jun 2023
| 21 Jun 2023
Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments
Valentina Premier
CORRESPONDING AUTHOR
Institute for Earth Observation, Eurac Research, Viale Druso, 1, 39100 Bolzano, Italy
Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 9 I, 38123 Povo, Italy
Carlo Marin
Institute for Earth Observation, Eurac Research, Viale Druso, 1, 39100 Bolzano, Italy
Giacomo Bertoldi
Institute for Alpine Environment, Eurac Research, Viale Druso, 1, 39100 Bolzano, Italy
Riccardo Barella
Institute for Earth Observation, Eurac Research, Viale Druso, 1, 39100 Bolzano, Italy
Claudia Notarnicola
Institute for Earth Observation, Eurac Research, Viale Druso, 1, 39100 Bolzano, Italy
Lorenzo Bruzzone
Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 9 I, 38123 Povo, Italy
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Short summary
The large amount of information regularly acquired by satellites can provide important information about SWE. We explore the use of multi-source satellite data, in situ observations, and a degree-day model to reconstruct daily SWE at 25 m. The results show spatial patterns that are consistent with the topographical features as well as with a reference product. Being able to also reproduce interannual variability, the method has great potential for hydrological and ecological applications.
The large amount of information regularly acquired by satellites can provide important...
