• DocumentCode
    1498638
  • Title

    Spectral Discrimination of Opium Poppy Using Field Spectrometry

  • Author

    Jia, Kun ; Wu, Bingfang ; Tian, Yichen ; Li, Qiangzi ; Du, Xin

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • Volume
    49
  • Issue
    9
  • fYear
    2011
  • Firstpage
    3414
  • Lastpage
    3422
  • Abstract
    Opium is a narcotic obtained from opium poppy and is the raw material of heroin for the illegal drug trade. Monitoring the illegal concentrated cultivation of opium poppy in major regions is critical for the understanding by governments and international communities of the scale of illegal drug trade. This paper investigates whether opium poppy can be discriminated from its coexisting plants using analytical-spectral-device field spectrometer data in the visible to short-wave infrared spectral range. Canopy spectral measurements were conducted during three different growth periods of opium poppy. A synthetic method with three analysis levels was applied to discriminate opium poppy from other species and to select optimal bands for opium poppy discrimination. First, the Mann-Whitney U-test method was used to test the spectral reflectance difference between opium poppy and coexisting crops at each wavelength. Then, the Jeffries-Matusita distance and band correlation analysis were conducted to select the optimal wavebands for discriminating opium poppy using the significant wavebands from the test results. Finally, classification and regression tree analysis was employed to validate the classification accuracy based on the selected optimal wavebands. The results indicated that the spectral reflectance of opium poppy was significantly different from that of coexisting crops in many surveyed wavebands, and opium poppy could be discriminated using a field survey spectrum at canopy level. The best time for discriminating opium poppy from coexisting crops was around flowering time. This paper provided the prerequisite for monitoring opium poppy using satellite remote sensing data in some regions of concern.
  • Keywords
    crops; regression analysis; vegetation mapping; Jeffries-Matusita distance; Mann-Whitney U-test method; band correlation analysis; canopy spectral measurement; crops; field spectrometry; heroin; illegal drug trade; opium poppy; regression tree analysis; spectral discrimination; spectral reflectance difference; Agriculture; Correlation; Drugs; Monitoring; Remote sensing; Spectroscopy; Vegetation; Band selection; field spectrometry; opium poppy; spectral;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2011.2126582
  • Filename
    5752844