Articles | Volume 20, issue 2
https://doi.org/10.5194/tc-20-963-2026
© Author(s) 2026. 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-20-963-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Feb 2026
Research article |
| 04 Feb 2026
| 04 Feb 2026
Influence of snowpack properties and local incidence angle on SAR signal depolarization: a mathematical model for high-resolution snow depth estimation
Alpsolut S.r.l., Via Saroch 1098/a, 23041 Livigno, Italy
Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100 Como, Italy
Jacopo Borsotti
Department of Mathematical, Physical and Computer Sciences, University of Parma, Parco Area delle Scienze 53/A, 43124 Parma, Italy
Franz Livio
Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100 Como, Italy
Giacomo Villa
Alpsolut S.r.l., Via Saroch 1098/a, 23041 Livigno, Italy
Martin Metzger
Alpsolut S.r.l., Via Saroch 1098/a, 23041 Livigno, Italy
Fabiano Monti
Alpsolut S.r.l., Via Saroch 1098/a, 23041 Livigno, Italy
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Short summary
We developed a new model to estimate snow depth using radar satellite data. By correcting for how the viewing angle affects signal reflection, we reduced errors by nearly 40 %. Tested in the Alps and Norway, the method improves fine-scale snow monitoring, supporting avalanche forecasting and water management.
We developed a new model to estimate snow depth using radar satellite data. By correcting for...
