Biomass estimator for NIR image with a few additional spectral band images taken from light UAS

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

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

    3 Citations (Scopus)

    Abstract

    A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels
    Original languageEnglish
    Title of host publicationProceedings of SPIE 8369
    Subtitle of host publicationSensing for Agriculture and Food Quality and Safety IV
    PublisherInternational Society for Optics and Photonics SPIE
    ISBN (Print)978-0-8194-9047-6
    DOIs
    Publication statusPublished - 2012
    MoE publication typeNot Eligible
    EventSensing for Agriculture and Food Quality and Safety IV - Baltimore, MD, United States
    Duration: 24 Apr 201225 Apr 2012

    Publication series

    SeriesProceedings of SPIE
    Volume8369
    ISSN0277-786X

    Conference

    ConferenceSensing for Agriculture and Food Quality and Safety IV
    CountryUnited States
    CityBaltimore, MD
    Period24/04/1225/04/12

    Keywords

    • Biomass estimation
    • estimator
    • Fabry-Perot
    • fertilizer
    • NIR
    • precision farming
    • spectral imager

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  • Cite this

    Pölönen, I., Salo, H., Saari, H., Kaivosoja, J., Pesonen, L., & Honkavaara, E. (2012). Biomass estimator for NIR image with a few additional spectral band images taken from light UAS. In Proceedings of SPIE 8369: Sensing for Agriculture and Food Quality and Safety IV [836905] International Society for Optics and Photonics SPIE. Proceedings of SPIE, Vol.. 8369 https://doi.org/10.1117/12.918551