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Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features

Tietueen suppeat tiedot
dc.contributor.authorNäsi, Roope
dc.contributor.authorViljanen, Niko
dc.contributor.authorKaivosoja, Jere
dc.contributor.authorAlhonoja, Katja
dc.contributor.authorHakala, Teemu
dc.contributor.authorMarkelin, Lauri
dc.contributor.authorHonkavaara, Eija
dc.contributor.departmentLuke / Tuotantojärjestelmät / Maatalouden teknologiat (4100210710)-
dc.contributor.departmentid4100210710-
dc.contributor.orcidhttp://orcid.org/0000-0002-5823-8180-
dc.contributor.orcidhttp://orcid.org/0000-0002-6307-1637-
dc.contributor.orcidhttp://orcid.org/0000-0001-5486-4582-
dc.contributor.orcidhttp://orcid.org/0000-0002-1570-4196-
dc.contributor.orcidhttp://orcid.org/0000-0002-7236-2145-
dc.contributor.otherFinnish Geospatial Research Institute-
dc.contributor.otherYara Suomi Oy-
dc.date.accessioned2018-07-23T08:05:32Z
dc.date.accessioned2025-05-27T17:01:33Z
dc.date.available2018-07-23T08:05:32Z
dc.date.issued2018
dc.description.vuosik2018
dc.format.bitstreamtrue
dc.identifier.olddbid484611
dc.identifier.oldhandle10024/542251
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/2213
dc.identifier.urnURN:NBN:fi-fe2018072333046-
dc.language.isoeng-
dc.okm.corporatecopublicationon-
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka-
dc.okm.discipline4111 Maataloustiede-
dc.okm.discipline415 Muut maataloustieteet-
dc.okm.internationalcopublicationei-
dc.okm.openaccess1 = Open access -julkaisukanavassa ilmestynyt julkaisu-
dc.okm.selfarchivedon-
dc.publisherMDPI-
dc.relation.doidoi:10.3390/rs10071082-
dc.relation.ispartofseriesRemote Sensing-
dc.relation.issn2072-4292-
dc.relation.numberinseries7-
dc.relation.volume10-
dc.rightsby-
dc.rights.copyright© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttp://www.mdpi.com/journal/remotesensing/about-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/542251
dc.subject.agriforsbiomassa-
dc.subject.agriforstyppi-
dc.subject.agrovocphotogrammetry-
dc.subject.agrovocmachine learning-
dc.subject.agrovocprecision agriculture-
dc.subject.agrovocbiomass-
dc.subject.agrovocnitrogen-
dc.subject.keywordhyperspectral-
dc.subject.keywordUAV-
dc.subject.keyworddrone-
dc.subject.keywordrandom forest-
dc.subject.keywordregression-
dc.subject.ysafotogrammetria-
dc.teh41007-00061700-
dc.teh41007-00103100-
dc.titleEstimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features-
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-
dc.virta2019

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