Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges

R. Näsi, E. Honkavaara, S. Tuominen, H. Saari, I. Pölönen, T. Hakala, N. Viljanen, J. Soukkamäki, I. Näkki, H. Ojanen, J. Reinikainen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    7 Citations (Scopus)

    Abstract

    Unmanned 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.

    Original languageEnglish
    Title of host publicationXXIII ISPRS Congress, Commission I
    PublisherInternational Society for Photogrammetry and Remote Sensing ISPRS
    Pages1143-1148
    DOIs
    Publication statusPublished - 1 Jan 2016
    MoE publication typeA4 Article in a conference publication
    Event23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 - Prague, Czech Republic
    Duration: 12 Jul 201619 Jul 2016

    Publication series

    SeriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    VolumeXLI-B1
    ISSN1682-1750

    Conference

    Conference23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016
    CountryCzech Republic
    CityPrague
    Period12/07/1619/07/16

    Fingerprint

    Fabry-Perot interferometers
    interferometer
    Cameras
    remote sensing
    Environmental engineering
    monitoring
    environmental monitoring
    Image sensors
    Remote sensing
    Fusion reactions
    Monitoring

    Keywords

    • Hyperspectral
    • Photogrammetry
    • SWIR
    • Tree species
    • UAS

    Cite this

    Näsi, R., Honkavaara, E., Tuominen, S., Saari, H., Pölönen, I., Hakala, T., ... Reinikainen, J. (2016). Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges. In XXIII ISPRS Congress, Commission I (pp. 1143-1148). International Society for Photogrammetry and Remote Sensing ISPRS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.. XLI-B1 https://doi.org/10.5194/isprsarchives-XLI-B1-1143-2016
    Näsi, R. ; Honkavaara, E. ; Tuominen, S. ; Saari, H. ; Pölönen, I. ; Hakala, T. ; Viljanen, N. ; Soukkamäki, J. ; Näkki, I. ; Ojanen, H. ; Reinikainen, J. / Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges. XXIII ISPRS Congress, Commission I. International Society for Photogrammetry and Remote Sensing ISPRS, 2016. pp. 1143-1148 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLI-B1).
    @inproceedings{8088c810cb984d27bb319dd44c2ab465,
    title = "Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges",
    abstract = "Unmanned 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.",
    keywords = "Hyperspectral, Photogrammetry, SWIR, Tree species, UAS",
    author = "R. N{\"a}si and E. Honkavaara and S. Tuominen and H. Saari and I. P{\"o}l{\"o}nen and T. Hakala and N. Viljanen and J. Soukkam{\"a}ki and I. N{\"a}kki and H. Ojanen and J. Reinikainen",
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    doi = "10.5194/isprsarchives-XLI-B1-1143-2016",
    language = "English",
    series = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
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    Näsi, 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 XXIII ISPRS Congress, Commission I. International Society for Photogrammetry and Remote Sensing ISPRS, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B1, pp. 1143-1148, 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016, Prague, Czech Republic, 12/07/16. https://doi.org/10.5194/isprsarchives-XLI-B1-1143-2016

    Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges. / Näsi, R.; Honkavaara, E.; Tuominen, S.; Saari, H.; Pölönen, I.; Hakala, T.; Viljanen, N.; Soukkamäki, J.; Näkki, I.; Ojanen, H.; Reinikainen, J.

    XXIII ISPRS Congress, Commission I. International Society for Photogrammetry and Remote Sensing ISPRS, 2016. p. 1143-1148 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLI-B1).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    AU - Honkavaara, E.

    AU - Tuominen, S.

    AU - Saari, H.

    AU - Pölönen, I.

    AU - Hakala, T.

    AU - Viljanen, N.

    AU - Soukkamäki, J.

    AU - Näkki, I.

    AU - Ojanen, H.

    AU - Reinikainen, J.

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    N2 - Unmanned 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.

    AB - Unmanned 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.

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    KW - Photogrammetry

    KW - SWIR

    KW - Tree species

    KW - UAS

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    U2 - 10.5194/isprsarchives-XLI-B1-1143-2016

    DO - 10.5194/isprsarchives-XLI-B1-1143-2016

    M3 - Conference article in proceedings

    AN - SCOPUS:84987923404

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    BT - XXIII ISPRS Congress, Commission I

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    ER -

    Näsi R, Honkavaara E, Tuominen S, Saari H, Pölönen I, Hakala T et al. Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges. In XXIII ISPRS Congress, Commission I. International Society for Photogrammetry and Remote Sensing ISPRS. 2016. p. 1143-1148. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLI-B1). https://doi.org/10.5194/isprsarchives-XLI-B1-1143-2016