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Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations

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Bibliographic Details
Published in:The Cryosphere (TC)
Format: Online Article RSS Article
Published: 2026
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FRELIP Feed Integration
container_title The Cryosphere (TC)
description
discipline_display Meteorology
discipline_facet Meteorology
format Online Article
RSS Article
genre Journal Article
id rss_article:62434
institution FRELIP
journal_source_facet The Cryosphere (TC)
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
Meteorology
General
Meteorology
sub_discipline_display General
sub_discipline_facet General
subject_display Meteorology
General
Meteorology
Meteorology
General
Meteorology
subject_facet Meteorology
General
Meteorology
title Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
title_auth Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
title_full Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
title_fullStr Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
title_full_unstemmed Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
title_short Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
title_sort machine learning for snow depth estimation over the european alps, using sentinel-1 observations, meteorological forcing data and process-based model simulations
topic Meteorology
General
Meteorology
url https://doi.org/10.5194/tc-20-3187-2026