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dc.contributor.authorMarin C
dc.contributor.authorCallegari M
dc.contributor.authorGünther D
dc.contributor.authorBertoldi G
dc.contributor.authorMarke T
dc.contributor.authorStrasser U
dc.contributor.authorBruzzone L
dc.contributor.authorZebisch M
dc.contributor.authorNotarnicola C
dc.date.accessioned2019-02-11T17:06:46Z
dc.date.available2019-02-11T17:06:46Z
dc.date.issued2018
dc.identifier.urihttp://dx.doi.org/10.1109/IGARSS.2018.8519567
dc.identifier.urihttp://hdl.handle.net/10863/8130
dc.description.abstractIn this paper, a novel approach for the retrieval of snow wetness is presented for Sentinel-1 (S-1) data. The approach uses the information on snow proprieties provided by the hydroclimatological model AMUNDSEN and confirmed by comparisons performed at different sematic level to train a regressor that is able to exploit the dual-polarimetric information provided by S-1. The preliminary results obtained for the Rofental in Austria are discussed.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.relation2018 IGARSS International Geoscience and Remote Sensing Symposium ; Valencia : 22.7.2018 - 27.7.2018
dc.rights
dc.titleA Model Driven Approach for Snow Wetness Retrieval with Sentinel-len_US
dc.typeBook chapteren_US
dc.date.updated2019-02-11T17:02:24Z
dc.publication.titleIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
dc.language.isiEN-GB
dc.description.fulltextnoneen_US


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