Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV

I. Pölönen, Heikki Saari, J. Kaivosoja, E. Honkavaara, L. Pesonen

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

    27 Citations (Scopus)

    Abstract

    Hyperspectral imaging based precise fertilization is challenge in the northern Europe, because of the cloud conditions. In this paper we will introduce schemes for the biomass and nitrogen content estimations from hyperspectral images. In this research we used the Fabry-Perot interferometer based hypespectral imager that enables hyperspectral imaging from lightweight UAVs. During the summers 2011 and 2012 imaging and flight campaigns were carried out on the Finnish test field. Estimation mehtod uses features from linear and non-linear unmixing and vegetation indices. The results showed that the concept of small hyperspectral imager, UAV and data analysis is ready to operational use.
    Original languageEnglish
    Title of host publicationRemote Sensing for Agriculture, Ecosystems, and Hydrology XV
    EditorsChristopher M.U. Neale, Antonino Maltese
    Place of PublicationBellingham
    PublisherInternational Society for Optics and Photonics SPIE
    ISBN (Print)978-0-8194-9756-7
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    EventRemote Sensing for Agriculture, Ecosystems, and Hydrology XV - Dresden, Germany
    Duration: 24 Sep 201326 Sep 2013
    Conference number: 15

    Publication series

    SeriesProceedings of SPIE
    Volume8887
    ISSN0277-786X

    Conference

    ConferenceRemote Sensing for Agriculture, Ecosystems, and Hydrology XV
    CountryGermany
    CityDresden
    Period24/09/1326/09/13

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    Keywords

    • biomass
    • hyperspectral imaging
    • nitrogen
    • UAV
    • unmixing

    Cite this

    Pölönen, I., Saari, H., Kaivosoja, J., Honkavaara, E., & Pesonen, L. (2013). Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV. In C. M. U. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV [88870J ] International Society for Optics and Photonics SPIE. Proceedings of SPIE, Vol.. 8887 https://doi.org/10.1117/12.2028624