Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43598
DC FieldValueLanguage
dc.contributor.authorLaurin, Gaia Vaglioit
dc.contributor.authorFrancini, Saverioit
dc.contributor.authorLuti, Taniait
dc.contributor.authorChirici, Gherardoit
dc.contributor.authorPirotti, Francescoit
dc.contributor.authorPapale, Darioit
dc.date.accessioned2021-08-04T17:16:04Z-
dc.date.available2021-08-04T17:16:04Z-
dc.date.issued2021it
dc.identifier.issn0015-752Xit
dc.identifier.urihttp://hdl.handle.net/2067/43598-
dc.description.abstractThe frequency of extreme storm events has significantly increased in the past decades, causing significant damage to European forests. To mitigate the impacts of extreme events, a rapid assessment of forest damage is crucial, and satellite data are an optimal candidate for this task. The integration of satellite data in the operational phase of monitoring forest damage can exploit the complementarity of optical and Synthetic Aperture Radar (SAR) open datasets from the Copernicus programme. This study illustrates the testing of Sentinel 1 and Sentinel 2 data for the detection of areas impacted by the Vaia storm in Northern Italy. The use of multispectral Sentinel 2 provided the best performance, with classification overall accuracy (OA) values up to 86 percent; however, optical data use is seriously hampered by cloud cover that can persist for months after the event and in most cases cannot be considered an appropriate tool if a fast response is required. The results obtained using SAR Sentinel 1 were slightly less accurate (OA up to 68 percent), but the method was able to provide valuable information rapidly, mainly because the acquisition of this dataset is weather independent. Overall, for a fast assessment Sentinel 1 is the better of the two methods where multispectral and ground data are able to further refine the initial SAR-based assessment.it
dc.language.isoengit
dc.titleSatellite open data to monitor forest damage caused by extreme climate-induced events: A case study of the Vaia storm in Northern Italyit
dc.typearticle*
dc.identifier.doi10.1093/forestry/cpaa043it
dc.identifier.scopus2-s2.0-85107797041it
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85107797041it
dc.relation.journalFORESTRYit
dc.relation.firstpage407it
dc.relation.lastpage416it
dc.relation.volume94it
dc.relation.issue3it
dc.description.internationalnoit
dc.contributor.countryITAit
dc.type.refereeREF_1it
dc.type.miur262*
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairetypearticle-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn0015-752X-
crisitem.journal.anceE066942-
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