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UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges

dc.contributor.authorNäsi, R.
dc.contributor.authorHonkavaara, E.
dc.contributor.authorTuominen, S.
dc.contributor.authorSaari, H.
dc.contributor.authorPölönen, Ilkka
dc.contributor.authorHakala, T.
dc.contributor.authorViljanen, N.
dc.contributor.authorSoukkamäki, J.
dc.contributor.authorNäkki, I.
dc.contributor.authorOjanen, H.
dc.contributor.authorReinikainen, J.
dc.contributor.editorHalounova, L.
dc.contributor.editorŠaafář, V.
dc.contributor.editorToth, C. K.
dc.contributor.editorKaras, J.
dc.contributor.editorHuadong, G.
dc.contributor.editorHaala, N.
dc.contributor.editorHabib, A.
dc.contributor.editorReinartz, P.
dc.contributor.editorTang, X.
dc.contributor.editorLi, J.
dc.contributor.editorArmenakis, C.
dc.contributor.editorGrenzdörffer, G.
dc.contributor.editorRoux, P. le
dc.contributor.editorStylianidis, S.
dc.contributor.editorBlasi, R.
dc.contributor.editorMenard, M.
dc.contributor.editorDufourmount, H.
dc.contributor.editorLi, Z.
dc.date.accessioned2016-08-29T09:37:59Z
dc.date.available2016-08-29T09:37:59Z
dc.date.issued2016
dc.identifier.citationNäsi, R., Honkavaara, E., Tuominen, S., Saari, H., Pölönen, I., Hakala, T., Viljanen, N., Soukkamäki, J., Näkki, I., Ojanen, H., & Reinikainen, J. (2016). UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges. In L. Halounova, V. Šaafář, C. K. Toth, J. Karas, G. Huadong, N. Haala, A. Habib, P. Reinartz, X. Tang, J. Li, C. Armenakis, G. Grenzdörffer, P. L. Roux, S. Stylianidis, R. Blasi, M. Menard, H. Dufourmount, & Z. Li (Eds.), <i>Proceedings of the XXIII ISPRS Congress</i> (pp. 1143-1148). International Society for Photogrammetry and Remote Sensing. International archives of the photogrammetry, remote sensing and spatial information sciences, Volume XLI-B1. <a href="https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016" target="_blank">https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016</a>
dc.identifier.otherCONVID_26131605
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/51112
dc.description.abstractUnmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in the spectral range from 400 to 1600 nm was used for identifying different species of trees in a forest area. To the best of the authors’ knowledge, this was the first research where stereoscopic, hyperspectral VIS, NIR, SWIR data is collected for tree species identification using UAS. The first results of the analysis based on fusion of two FPI-based hyperspectral imagers and RGB camera showed that the novel FPI hyperspectral technology provided accurate geometric, radiometric and spectral information in a forested scene and is operational for environmental remote sensing applications.
dc.language.isoeng
dc.publisherInternational Society for Photogrammetry and Remote Sensing
dc.relation.ispartofProceedings of the XXIII ISPRS Congress
dc.relation.ispartofseriesInternational archives of the photogrammetry, remote sensing and spatial information sciences
dc.relation.urihttp://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1143/2016/isprs-archives-XLI-B1-1143-2016.pdf
dc.subject.otherUAS
dc.subject.otherhyperspectral
dc.subject.otherSWIR
dc.titleUAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges
dc.typeconference paper
dc.identifier.urnURN:NBN:fi:jyu-201607263675
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2016-07-26T12:15:13Z
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1143-1148
dc.relation.issn1682-1750
dc.type.versionpublishedVersion
dc.rights.copyright© the Authors, 2016. This is an open access article distributed under the terms of Creative Commons License.
dc.rights.accesslevelopenAccessfi
dc.type.publicationconferenceObject
dc.relation.conferenceCongress of the International Society for Photogrammetry and Remote Sensing
dc.subject.ysofotogrammetria
dc.subject.ysopuulajit
jyx.subject.urihttp://www.yso.fi/onto/yso/p2525
jyx.subject.urihttp://www.yso.fi/onto/yso/p13848
dc.rights.urlhttps://creativecommons.org/licenses/by/3.0/
dc.relation.doi10.5194/isprs-archives-XLI-B1-1149-2016
dc.type.okmA4


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© the Authors, 2016. This is an open access article distributed under the terms of Creative Commons License.
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