• DocumentCode
    678989
  • Title

    UAV-based measurement of vegetation indices for environmental monitoring

  • Author

    Arnold, T. ; de Biasio, M. ; Fritz, Andreas ; Leitner, R.

  • Author_Institution
    Mol. Imaging Dept., CTR Carinthian Tech Res. AG, Villach, Austria
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    704
  • Lastpage
    707
  • Abstract
    This paper presents an airborne multi-spectral imaging sensor which is able to simultaneously capture three visible and three near infrared channels. The first prototype was integrated in a Schiebel CAMCOPTER® S-100 VTOL (Vertical Take-Off and Landing) UAV (Unmanned Aerial Vehicle) for inflight tests. A low cost version of the initial multi-spectral imaging system was developed to fit into a more compact UAV. The imaging system captures six bands with a minimal spatial resolution of approx. 10cm × 10cm (depending on altitude). Results indicate that the system is able to resist the high vibration level during flight and that the actively stabilized camera gimbal compensates for rapid roll/tilt movements of the UAV. After image registration the acquired images are stitched together for land cover mapping and flight path validation. Moreover the system is able to distinguish between different types of vegetation and soil.
  • Keywords
    CMOS image sensors; autonomous aerial vehicles; data acquisition; environmental monitoring (geophysics); image registration; land cover; soil; vegetation mapping; Schiebel CAMCOPTER S-100 VTOL; UAV-based measurement; airborne multi-spectral imaging sensor; environmental monitoring; flight path validation; image registration; land cover mapping; multiple CMOS imaging sensors; multispectral data acquisition; soil types; unmanned aerial vehicle; vegetation indices; Agriculture; Cameras; Data acquisition; Remote sensing; Silicon; Vegetation mapping; UAV; imaging spectroscopy; precision agriculture; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2013 Seventh International Conference on
  • Conference_Location
    Wellington
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-5220-8
  • Type

    conf

  • DOI
    10.1109/ICSensT.2013.6727744
  • Filename
    6727744