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Assessment of RGB and Hyperspectral Uav Remote Sensing for Grass Quantity and Quality Estimation

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dc.contributor.authorde Oliveira, Raquel Alves
dc.contributor.authorNäsi, Roope
dc.contributor.authorNiemeläinen, Oiva
dc.contributor.authorNyholm, Laura
dc.contributor.authorAlhonoja, Katja
dc.contributor.authorKaivosoja, Jere
dc.contributor.authorViljanen, Niko
dc.contributor.authorHakala, Teemu
dc.contributor.authorNezami, Somayeh
dc.contributor.authorMarkelin, Lauri
dc.contributor.authorJauhiainen, Lauri
dc.contributor.authorHonkavaara, Eija
dc.contributor.departmentid4100110210-
dc.contributor.departmentid4100210710-
dc.contributor.otherFinnish Geospatial Research Institute FGI-
dc.contributor.otherValio Oy-
dc.contributor.otherYara Suomi Oy-
dc.date.accessioned2019-10-02T05:33:46Z
dc.date.accessioned2025-05-28T07:15:25Z
dc.date.available2019-10-02T05:33:46Z
dc.date.issued2019
dc.description.vuosik2019
dc.format.bitstreamfalse
dc.format.pagerange489-494-
dc.identifier.olddbid487227
dc.identifier.oldhandle10024/544697
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/12267
dc.language.isoeng-
dc.okm.corporatecopublicationon-
dc.okm.discipline414-
dc.okm.internationalcopublicationei-
dc.okm.openaccess1 = Open access -julkaisukanavassa ilmestynyt julkaisu-
dc.okm.selfarchivedei-
dc.publisherThe International Society for Photogrammetry and Remote Sensing-
dc.relation.conferenceISPRS Geospatial Week 2019; Enschede, 2019-
dc.relation.doi10.5194/isprs-archives-XLII-2-W13-489-2019-
dc.relation.ispartofISPRS Geospatial Week 2019 / G. Vosselman, S. J. Oude Elberink, and M. Y. Yang (eds.)-
dc.relation.ispartofseriesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-
dc.relation.issn1682-1750-
dc.relation.volumeXLII-2/W13-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/544697
dc.subject.agrovocphotogrammetry-
dc.subject.agrovocprecision agriculture-
dc.subject.agrovocbiomass-
dc.subject.agrovocmachine learning-
dc.subject.keywordhyperspectral-
dc.subject.keywordUAV-
dc.subject.keywordgrass sward-
dc.teh41007-00061700-
dc.teh41007-00103100-
dc.titleAssessment of RGB and Hyperspectral Uav Remote Sensing for Grass Quantity and Quality Estimation-
dc.type.okmfi=A4 Artikkeli konferenssijulkaisussa|sv=A4 Artikel i en konferenspublikation|en=A4 Conference proceedings|-

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