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Article: New morphological features for urban tree species identification using LiDAR point clouds

TitleNew morphological features for urban tree species identification using LiDAR point clouds
Authors
Issue Date2022
Citation
Urban Forestry & Urban Greening, 2022, v. 71, p. 127558 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/315509
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGuo, Y-
dc.contributor.authorZhang, H-
dc.contributor.authorLi, Q-
dc.contributor.authorLin, Y-
dc.contributor.authorMichalski, JR-
dc.date.accessioned2022-08-19T08:59:13Z-
dc.date.available2022-08-19T08:59:13Z-
dc.date.issued2022-
dc.identifier.citationUrban Forestry & Urban Greening, 2022, v. 71, p. 127558-
dc.identifier.urihttp://hdl.handle.net/10722/315509-
dc.languageeng-
dc.relation.ispartofUrban Forestry & Urban Greening-
dc.titleNew morphological features for urban tree species identification using LiDAR point clouds-
dc.typeArticle-
dc.identifier.emailZhang, H: zhanghs@hku.hk-
dc.identifier.emailLin, Y: yinyilin@hku.hk-
dc.identifier.emailMichalski, JR: jmichal@hku.hk-
dc.identifier.authorityZhang, H=rp02616-
dc.identifier.authorityMichalski, JR=rp02225-
dc.identifier.doi10.1016/j.ufug.2022.127558-
dc.identifier.hkuros335724-
dc.identifier.volume71-
dc.identifier.spage127558-
dc.identifier.epage127558-
dc.identifier.isiWOS:000793721600001-

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