Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS

H. Saari, A. Akujärvi, C. Holmlund, H. Ojanen, J. Kaivosoja, A. Nissinen, O. Niemeläinen

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

    7 Citations (Scopus)

    Abstract

    The accurate determination of the quality parameters of crops requires a spectral range from 400 nm to 2500 nm (Kawamura et al., 2010, Thenkabail et al., 2002). Presently the hyperspectral imaging systems that cover this wavelength range consist of several separate hyperspectral imagers and the system weight is from 5 to 15 kg. In addition the cost of the Short Wave Infrared (SWIR) cameras is high (~50 k€). VTT has previously developed compact hyperspectral imagers for drones and Cubesats for Visible and Very near Infrared (VNIR) spectral ranges (Saari et al., 2013, Mannila et al., 2013, Näsilä et al., 2016). Recently VTT has started to develop a hyperspectral imaging system that will enable imaging simultaneously in the Visible, VNIR, and SWIR spectral bands. The system can be operated from a drone, on a camera stand, or attached to a tractor. The targeted main applications of the DroneKnowledge hyperspectral system are grass, peas, and cereals. In this paper the characteristics of the built system are shortly described. The system was used for spectral measurements of wheat, several grass species and pea plants fixed to the camera mount in the test fields in Southern Finland and in the green house. The wheat, grass and pea field measurements were also carried out using the system mounted on the tractor. The work is part of the Finnish nationally funded “DroneKnowledge - Towards knowledge based export of small UAS remote sensing technology” project.

    Original languageEnglish
    Title of host publicationFrontiers in Spectral imaging and 3D Technologies for Geospatial Solutions
    EditorsE. Honkavaara, B. Hu, K. Karantzalos, X. Liang, R. Müller, E. Nocerino, I. Pölönen, P. Rönnholm
    PublisherInternational Society for Photogrammetry and Remote Sensing ISPRS
    Pages165-170
    DOIs
    Publication statusPublished - 19 Oct 2017
    MoE publication typeA4 Article in a conference publication
    EventFrontiers in Spectral imaging and 3D Technologies for Geospatial Solutions, ISPRS SPEC3D - Jyväskylä, Finland
    Duration: 25 Oct 201727 Oct 2017
    http://www.mit.jyu.fi/scoma/spec3d/
    http://www.mit.jyu.fi/scoma/spec3d/
    http://www.mit.jyu.fi/scoma/spec3d/

    Publication series

    SeriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    VolumeXLII-3W3
    ISSN1682-1750

    Workshop

    WorkshopFrontiers in Spectral imaging and 3D Technologies for Geospatial Solutions, ISPRS SPEC3D
    Abbreviated titleISPRS SPEC3D
    CountryFinland
    CityJyväskylä
    Period25/10/1727/10/17
    Internet address

    Keywords

    • Drone
    • Fabry-Perot
    • Forage quality estimation
    • Hyperspectral imaging
    • Microspectrometers
    • Water quality monitoring
    • OtaNano

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    Saari, H., Akujärvi, A., Holmlund, C., Ojanen, H., Kaivosoja, J., Nissinen, A., & Niemeläinen, O. (2017). Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS. In E. Honkavaara, B. Hu, K. Karantzalos, X. Liang, R. Müller, E. Nocerino, I. Pölönen, & P. Rönnholm (Eds.), Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions (pp. 165-170). International Society for Photogrammetry and Remote Sensing ISPRS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.. XLII-3W3 https://doi.org/10.5194/isprs-archives-XLII-3-W3-165-2017