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dc.contributor.authorKachamba, Daud Jones
dc.contributor.authorØrka, Hans Ole
dc.contributor.authorGobakken, Terje
dc.contributor.authorEid, Tron
dc.contributor.authorMwase, Weston
dc.date.accessioned2017-09-25T10:30:29Z
dc.date.available2017-09-25T10:30:29Z
dc.date.created2017-01-11T13:45:22Z
dc.date.issued2016
dc.identifier.citationRemote Sensing. 2016, 8 (11), .nb_NO
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/11250/2456499
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleBiomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodlandnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.pagenumber18nb_NO
dc.source.volume8nb_NO
dc.source.journalRemote Sensingnb_NO
dc.source.issue11nb_NO
dc.identifier.doi10.3390/rs8110968
dc.identifier.cristin1425089
cristin.unitcode192,1,3,0
cristin.unitnameInstitutt for naturforvaltning
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal