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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/29739
DC FieldValueLanguage
dc.contributor.authorVaglio Laurinen
dc.contributor.authorF. D.en
dc.contributor.authorGuerrieroen
dc.contributor.authorL.en
dc.contributor.authorPirottien
dc.contributor.authorF.en
dc.contributor.authorValentini, Riccardoen
dc.contributor.authorG.en
dc.contributor.authorChenen
dc.contributor.authorQ.en
dc.contributor.authorLindsellen
dc.contributor.authorJ. A.en
dc.contributor.authorCoomesen
dc.contributor.authorD. A.en
dc.contributor.authorFrateen
dc.date.accessioned2020-10-20T22:43:31Z-
dc.date.available2020-10-20T22:43:31Z-
dc.date.issued2014en
dc.identifier.urihttp://hdl.handle.net/2067/29739-
dc.titleAbove ground biomass estimation in an African tropical forest with lidar and hyperspectral data. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,en
dc.typearticleen
dc.identifier.scopus2-s2-84893373886en
dc.identifier.isi333512100005en
dc.type.miur262en
item.cerifentitytypePublications-
item.openairetypearticle-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:A1. Articolo in rivista
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