Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps

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Abstract m, 500 m, and 1 km) resolutions over the European Alps for 2017–2019. The Sentinel-1 backscatter observations, especially in cross-polarization, show a high correlation with regional model simulations of snow depth over Austria and Switzerland. The observed changes in radar backscatter with the accumulation or ablation of snow are used in an empirical change detection algorithm to retrieve snow depth. The algorithm includes the detection of dry and wet snow conditions. Compared to in situ measurements at 743 sites in the European Alps, dry snow depth retrievals at 500 m and 1 km resolution have a spatio-temporal correlation of 0.89. The mean absolute error equals 20 % –30 % of the measured values for snow depths between 1.5 and 3 m. The performance slightly degrades for retrievals at the finer 100 m spatial resolution as well as for retrievals of shallower and deeper snow. The results demonstrate the ability of Sentinel-1 to provide snow estimates in mountainous regions where satellite-based estimates of snow mass are currently lacking. The retrievals can improve our knowledge of seasonal snow mass in areas with complex topography and benefit a number of applications, such as water resource management, flood forecasting, and numerical weather prediction. However, future research is recommended to further investigate the physical basis of the sensitivity of Sentinel-1 backscatter observations to snow accumulation.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps ; volume:16 ; number:1 ; year:2022 ; pages:159-177 ; extent:19
The Cryosphere ; 16, Heft 1 (2022), 159-177 (gesamt 19)

Creator: Lievens, Hans
Brangers, Isis
Marshall, Hans-Peter
Jonas, Tobias
Olefs, Marc
De Lannoy, Gabriëlle

DOI: 10.5194/tc-16-159-2022

URN: urn:nbn:de:101:1-2022012004194932826663

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:38 AM CEST

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Lievens, Hans
Brangers, Isis
Marshall, Hans-Peter
Jonas, Tobias
Olefs, Marc
De Lannoy, Gabriëlle

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Implementation of dynamic snow density within GlobSnow snow water equivalent retrieval methodology

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Implementing spatially and temporally varying snow densities into the GlobSnow snow water equivalent retrieval

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Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps

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The retrieval of snow properties from SLSTR Sentinel-3 – Part 2: Results and validation

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Snow Water Equivalent Retrieval Over Idaho, Part A: Using Sentinel-1 Repeat-Pass Interferometry

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The retrieval of snow properties from SLSTR Sentinel-3 – Part 1: Method description and sensitivity study

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Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy

Implementation of dynamic snow density within GlobSnow snow water equivalent retrieval methodology

Implementation of dynamic snow density within GlobSnow snow water equivalent retrieval methodology

Implementing spatially and temporally varying snow densities into the GlobSnow snow water equivalent retrieval

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Evaluating Snow Depth Retrievals from Sentinel-1 Volume Scattering over NASA SnowEx Sites

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Climate controls on snow reliability in French Alps ski resorts

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