Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/51017
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dc.contributor.authorAlvites, Cesarit
dc.contributor.authorSantopuoli, Giovanniit
dc.contributor.authorMaesano, Mauroit
dc.contributor.authorChirici, Gherardoit
dc.contributor.authorMoresi, Federico Valerioit
dc.contributor.authorTognetti, Robertoit
dc.contributor.authorMarchetti, Marcoit
dc.contributor.authorLasserre, Brunoit
dc.date.accessioned2024-02-27T09:29:12Z-
dc.date.available2024-02-27T09:29:12Z-
dc.date.issued2021it
dc.identifier.issn1208-6037it
dc.identifier.urihttp://hdl.handle.net/2067/51017-
dc.rightsAttribution-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.titleUnsupervised algorithms to detect single trees in a mixed-species and multilayered Mediterranean forest using LiDAR datait
dc.typearticle*
dc.identifier.doi10.1139/cjfr-2020-0510it
dc.relation.journalCANADIAN JOURNAL OF FOREST RESEARCHit
dc.relation.firstpage1766it
dc.relation.lastpage1780it
dc.relation.volume51it
dc.relation.issue12it
dc.type.miur262*
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypearticle-
crisitem.journal.journalissn1208-6037-
crisitem.journal.anceE187880-
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