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dc.contributor.authorPremier V
dc.contributor.authorBertoldi G
dc.contributor.authorCallegari M
dc.contributor.authorBrida C
dc.contributor.authorHürkamp K
dc.contributor.authorTschiersch J
dc.contributor.authorZebisch M
dc.contributor.authorNotarnicola C
dc.contributor.authorBruzzone L
dc.contributor.authorMarin C
dc.date.accessioned2019-11-29T14:23:18Z
dc.date.available2019-11-29T14:23:18Z
dc.date.issued2019
dc.identifier.urihttps://bia.unibz.it/handle/10863/11638
dc.description.abstractSnow plays a key role in the hydrological cycle. Especially in mountain regions such as the Alps, snowmelt is the main responsible of run-off regimes, strongly influencing groundwater storage, flooding, avalanches, and contaminant release. Hence, understanding and predicting snowmelt dynamics is essential for a better planning and accurate monitoring of our resources.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.relationEsa Living Planet Symposium ; Milan : 13.5.2019 - 17.5.2019
dc.rights
dc.titleIdentifying the snow melting dynamics by exploiting the multi-temporal Sentinel-1 backscatteringen_US
dc.typePresentationen_US
dc.date.updated2019-11-29T14:20:20Z
dc.language.isiEN-GB
dc.description.fulltextnoneen_US


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