Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43891
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dc.contributor.authorPearce, Sophieen
dc.contributor.authorSalvatore, Maddocken
dc.contributor.authorIan, Paulusen
dc.contributor.authorGernot, Plavšićen
dc.contributor.authorJasna, Prodanovićen
dc.contributor.authorDušan, Manfredaen
dc.contributor.authorLjubičić, Roberten
dc.contributor.authorPeña-haro, Salvadoren
dc.contributor.authorPerks, Matthewen
dc.contributor.authorTauro, Flaviaen
dc.contributor.authorPizarro, Alonsoen
dc.contributor.authorDal, Sassoen
dc.contributor.authorSilvano, Strelnikovaen
dc.contributor.authorDariia, Grimaldien
dc.date.accessioned2021-11-02T17:27:45Z-
dc.date.available2021-11-02T17:27:45Z-
dc.date.issued2020en
dc.identifier.urihttp://hdl.handle.net/2067/43891-
dc.titleAn evaluation of image velocimetry techniques under low flow conditions and high seeding densities using unmanned aerial systemsen
dc.typearticleen
dc.identifier.doi10.3390/rs12020232en
dc.relation.issn2072-4292en
dc.relation.journalREMOTE SENSINGen
dc.relation.volume12en
dc.type.miur262en
local.miur.syncfalseen
item.cerifentitytypePublications-
item.openairetypearticle-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn1032-9714-
crisitem.journal.anceE235714-
Appears in Collections:A1. Articolo in rivista
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