• DocumentCode
    3063830
  • Title

    Characterization of powdery mildew in winter wheat using multi-angular hyperspectral measurements

  • Author

    Jinling Zhao ; Lin Yuan ; Linsheng Huang ; Dongyan Zhang ; Jingcheng Zhang ; Xiaohe Gu

  • Author_Institution
    Beijing Res. Center for Inf. Technol. in Agric., Beijing Acad. of Agric. & Forestry Sci., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2821
  • Lastpage
    2824
  • Abstract
    This study aims at characterizing wheat canopies caused by powdery mildew (Blumeria graminis f. sp. tritici) with multi-angular hyperspectral data. The filling stage (23 May, 2012) was chosen to achieve such a goal, considering that the disease can show distinctive symptoms during the months of May and June. A total of 37 sample plots were selected including 32 normal canopies and 5 diseased canopies with varied severity. To minimizing the soil background influences, multi-angular hyperspectral data were acquired at different view angles (0°, 45° and 90°). The results showed that the proportion of wheat vegetation and soil changed greatly and the hyperspectral reflectance values correspondingly changed. Consequently, the reflectance at different viewing angles showed great differences, but the curves had the same change trends. The results showed that, to accurately identify the spectral differences caused by powdery mildew, the optimal angle or a combination of several angles must be firstly found from multi-angular hyperspectral measurements.
  • Keywords
    agricultural engineering; agriculture; crops; hyperspectral imaging; plant diseases; vegetation mapping; Blumeria graminis f. sp. tritici; crop diseases; hyperspectral reflectance; multiangular hyperspectral measurement; powdery mildew; wheat canopies; wheat vegetation; winter wheat; Agriculture; Diseases; Hyperspectral imaging; Reflectivity; Soil; Variable speed drives; Hyperspectral remote sensing; Multi-angular spectral measurement; Powdery mildew; Sensitive wave bands; Winter wheat;
  • 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.2013.6723411
  • Filename
    6723411