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Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging

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dc.contributor.authorNevalainen, Olli
dc.contributor.authorHonkavaara, Eija
dc.contributor.authorTuominen, Sakari
dc.contributor.authorViljanen, Niko
dc.contributor.authorHakala, Teemu
dc.contributor.authorYu, Xiaowei
dc.contributor.authorHyyppä, Juha
dc.contributor.authorSaari, Heikki
dc.contributor.authorPölönen, Ilkka
dc.contributor.authorImai, Nilton N.
dc.contributor.authorTommaselli, Antonio M. G.
dc.contributor.departmentLuke / Talous- ja yhteiskunta / Metsäsuunnittelu ja metsävarannot / Metsäsuunnittelu ja metsävarannot (4100400511)-
dc.contributor.departmentid4100400511-
dc.contributor.otherFinnish Geospatial Research Institute, Masala-
dc.contributor.otherVTT-
dc.contributor.otherUniversity of Jyväskylä-
dc.contributor.otherUniv. Estadual Paulista (UNESP), Brazil-
dc.date.accessioned2017-02-28T07:53:50Z
dc.date.accessioned2025-05-27T16:29:14Z
dc.date.available2017-02-28T07:53:50Z
dc.date.issued2017
dc.description.vuosik2017-
dc.formatVerkkojulkaisu-
dc.format.bitstreamtrue
dc.format.pagerange34 p-
dc.identifier.elss2072-4292-
dc.identifier.olddbid480604
dc.identifier.oldhandle10024/538554
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/340
dc.identifier.urlhttp://www.mdpi.com/2072-4292/9/3/185-
dc.identifier.urnURN:NBN:fi-fe201702281884-
dc.language.isoeng-
dc.okm.corporatecopublicationon-
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka-
dc.okm.discipline4112 Metsätiede-
dc.okm.internationalcopublicationon-
dc.okm.openaccess1 = Open access -julkaisukanavassa ilmestynyt julkaisu-
dc.okm.selfarchivedon-
dc.publisherMDPI-
dc.publisher.countrych-
dc.publisher.placeBasel-
dc.relation.doi10.3390/rs9030185-
dc.relation.ispartofseriesRemote Sensing-
dc.relation.numberinseries3
dc.relation.volume9-
dc.rightsby-
dc.rights.copyrightAll articles published by MDPI are made immediately available worldwide under an open access license. This means: everyone has free and unlimited access to the full-text of all articles published in MDPI journals, and everyone is free to re-use the published material if proper accreditation/citation of the original publication is given. open access publication is supported by the authors' institutes or research funding agencies by payment of a comparatively low Article Processing Charge (APC) for accepted articles.-
dc.rights.urihttp://www.mdpi.com/about/openaccess-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/538554
dc.subject.agrovocphotogrammetry-
dc.subject.agrovocforests-
dc.subject.agrovocclassification-
dc.subject.keywordUAV-
dc.subject.keywordhyperspectral-
dc.subject.keywordradiometry-
dc.subject.keywordpoint cloud-
dc.teh41007-00031400-
dc.titleIndividual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|-
dc.type.versionPublisher's version-

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