• DocumentCode
    2618779
  • Title

    Novel algorithms for remote sensing of chlorophyll content in higher plant leaves

  • Author

    Gitelson, Anatoly A. ; Merzlyak, Mark N. ; Grits, Yuri

  • Author_Institution
    Remote Sensing Lab., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • Volume
    4
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    2355
  • Abstract
    The general features of reflectance spectra of higher plant leaves are considered with special reference to remote sensing of chlorophyll. Wavelengths with maximum sensitivity to chlorophyll content were found in the wide spectral range from 550 to 630 nm and near 700 nm. The wavelength of the red edge position of the reflectance spectrum correlated very closely with the reflectance at 550 and 700 nm. The ratios of reflectances in the near infra-red range of the spectrum (above 750 nm) to that at 700 nm RNIR/R700 and R NIR/R550 were directly proportional to the leaf chlorophyll content. Newly introduced algorithms make it possible precise chlorophyll estimation (with an error of less than 5 nmol/cm2) and probably could be applied to a number of plant species. They exhibit more than 6 times wider dynamic range than the widely used Normalized Difference Vegetation Index
  • Keywords
    botany; geophysical techniques; remote sensing; 550 to 1000 nm; IR method; algorithm; chlorophyll content; geophysical measurement technique; higher plant leaves; infrared spectra; leaf; optical imaging; red edge position; reflectance spectra; reflectance spectrum; remote sensing; vegetation mapping; visible spectra; Cells (biology); Immune system; Infrared spectra; Laboratories; Physiology; Pigmentation; Reflectivity; Remote sensing; Stress; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516985
  • Filename
    516985