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dc.contributor.authorTorralbo, Pedro
dc.contributor.authorPimentel, Rafael
dc.contributor.authorPolo, María José
dc.contributor.authorNotarnicola, Claudia
dc.date.accessioned2023-11-16T09:24:53Z
dc.date.available2023-11-16T09:24:53Z
dc.date.issued2023
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10396/26213
dc.description.abstractMonitoring snowmelt dynamics in mountains is crucial to understand water releases downstream. Sentinel-1 (S-1) synthetic-aperture radar (SAR) has become one of the most widely used techniques to achieve this aim due to its high frequency of acquisitions and all-weather capability. This work aims to understand the possibilities of S-1 SAR imagery to capture snowmelt dynamics and related changes in streamflow response in semi-arid mountains. The results proved that S-1 SAR imagery was able not only to capture the final spring melting but also all melting cycles that commonly appear throughout the year in these types of environments. The general change detection approach to identify wet snow was adapted for these regions using as reference the average S-1 SAR image from the previous summer, and a threshold of −3.00 dB, which has been assessed using Landsat images as reference dataset obtaining a general accuracy of 0.79. In addition, four different types of melting-runoff onsets depending on physical snow condition were identified. When translating that at the catchment scale, distributed melting-runoff onset maps were defined to better understand the spatiotemporal evolution of melting dynamics. Finally, a linear connection between melting dynamics and streamflow was found for long-lasting melting cycles, with a determination coefficient (R2) ranging from 0.62 to 0.83 and an average delay between the melting onset and streamflow peak of about 21 days.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceRemote Sens., 15(22), 5365 (2023)es_ES
dc.subjectWet snowes_ES
dc.subjectSentinel-1es_ES
dc.subjectC-bandes_ES
dc.subjectSynthetic-aperture radar (SAR)es_ES
dc.subjectMediterranean mountainses_ES
dc.subjectSemi-arid regionses_ES
dc.subjectStreamflow dynamicses_ES
dc.titleCharacterizing snow dynamics in semi-arid mountain regions with multitemporal sentinel-1 imagery: a case study in the Sierra Nevada, Spaines_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.3390/rs15225365es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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