Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features
dc.contributor.author | Näsi, Roope | |
dc.contributor.author | Viljanen, Niko | |
dc.contributor.author | Kaivosoja, Jere | |
dc.contributor.author | Alhonoja, Katja | |
dc.contributor.author | Hakala, Teemu | |
dc.contributor.author | Markelin, Lauri | |
dc.contributor.author | Honkavaara, Eija | |
dc.contributor.department | Luke / Tuotantojärjestelmät / Maatalouden teknologiat (4100210710) | - |
dc.contributor.departmentid | 4100210710 | - |
dc.contributor.orcid | http://orcid.org/0000-0002-5823-8180 | - |
dc.contributor.orcid | http://orcid.org/0000-0002-6307-1637 | - |
dc.contributor.orcid | http://orcid.org/0000-0001-5486-4582 | - |
dc.contributor.orcid | http://orcid.org/0000-0002-1570-4196 | - |
dc.contributor.orcid | http://orcid.org/0000-0002-7236-2145 | - |
dc.contributor.other | Finnish Geospatial Research Institute | - |
dc.contributor.other | Yara Suomi Oy | - |
dc.date.accessioned | 2018-07-23T08:05:32Z | |
dc.date.accessioned | 2025-05-27T17:01:33Z | |
dc.date.available | 2018-07-23T08:05:32Z | |
dc.date.issued | 2018 | |
dc.description.vuosik | 2018 | |
dc.format.bitstream | true | |
dc.identifier.olddbid | 484611 | |
dc.identifier.oldhandle | 10024/542251 | |
dc.identifier.uri | https://jukuri.luke.fi/handle/11111/2213 | |
dc.identifier.urn | URN:NBN:fi-fe2018072333046 | - |
dc.language.iso | eng | - |
dc.okm.corporatecopublication | on | - |
dc.okm.discipline | 213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka | - |
dc.okm.discipline | 4111 Maataloustiede | - |
dc.okm.discipline | 415 Muut maataloustieteet | - |
dc.okm.internationalcopublication | ei | - |
dc.okm.openaccess | 1 = Open access -julkaisukanavassa ilmestynyt julkaisu | - |
dc.okm.selfarchived | on | - |
dc.publisher | MDPI | - |
dc.relation.doi | doi:10.3390/rs10071082 | - |
dc.relation.ispartofseries | Remote Sensing | - |
dc.relation.issn | 2072-4292 | - |
dc.relation.numberinseries | 7 | - |
dc.relation.volume | 10 | - |
dc.rights | by | - |
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.uri | http://www.mdpi.com/journal/remotesensing/about | - |
dc.source.identifier | https://jukuri.luke.fi/handle/10024/542251 | |
dc.subject.agrifors | biomassa | - |
dc.subject.agrifors | typpi | - |
dc.subject.agrovoc | photogrammetry | - |
dc.subject.agrovoc | machine learning | - |
dc.subject.agrovoc | precision agriculture | - |
dc.subject.agrovoc | biomass | - |
dc.subject.agrovoc | nitrogen | - |
dc.subject.keyword | hyperspectral | - |
dc.subject.keyword | UAV | - |
dc.subject.keyword | drone | - |
dc.subject.keyword | random forest | - |
dc.subject.keyword | regression | - |
dc.subject.ysa | fotogrammetria | - |
dc.teh | 41007-00061700 | - |
dc.teh | 41007-00103100 | - |
dc.title | Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features | - |
dc.type.okm | fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| | - |
dc.type.version | Publisher's version | - |
dc.virta | 2019 |
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