• DocumentCode
    3072464
  • Title

    Development of uav-mounted miniaturure hyperspectral sensor system for agricultural monitoring

  • Author

    Uto, Kuniaki ; Seki, Hiroshi ; Saito, Genya ; Kosugi, Yukio

  • Author_Institution
    Interdiscipl. Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    4415
  • Lastpage
    4418
  • Abstract
    Lightweight unmanned autonomous vehicles (UAVs) are becoming practical platforms for aerial data acquisition. We developed a low-cost, small, lightweight hyperspectral sensor system that can be loaded onto small UAV platforms. The hyperspectral sensor system of the total weight 400 g is equipped with a 256-band hyperspectral sensor covering a spectral range from 340-763 nm, a GPS and a data logger. The acquisition period for each sampling is 200 ms. The aerial hyperspectral data of rice paddies acquired from an altitude of 10 m above ground level are collected under cloudy weather. The high-accuracy estimation of the chlorophyll densities is confirmed by the chlorophyll indices based on the red-edge (RE) and near infrared (NIR) spectral ranges, even under unstable illumination conditions.
  • Keywords
    Global Positioning System; agriculture; autonomous aerial vehicles; crops; data loggers; hyperspectral imaging; remote sensing; vegetation mapping; GPS; UAV mounted hyperspectral sensor system; aerial data acquisition; agricultural monitoring; altitude 10 m; chlorophyll density; data logger; lightweight UAV; low cost hyperspectral sensor system; mass 400 g; miniaturure hyperspectral sensor system; near infrared spectral range; red edge spectral range; rice paddies; time 200 ms; unmanned autonomous vehicles; unstable illumination conditions; wavelength 340 nm to 763 nm; Clouds; Correlation; Data acquisition; Global Positioning System; Hyperspectral imaging; Lighting; UAV; agriculture; chlorophyll; hyperspectral image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723814
  • Filename
    6723814