• DocumentCode
    1334407
  • Title

    Derivation of vegetation isoline equations in red-NIR reflectance space

  • Author

    Yoshioka, Hiroki ; Huete, Alfredo R. ; Miura, Tomoaki

  • Author_Institution
    Dept. of Aerosp. & Mech. Eng., Arizona Univ., Tucson, AZ, USA
  • Volume
    38
  • Issue
    2
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    838
  • Lastpage
    848
  • Abstract
    A technique to derive vegetation isoline equations in red-NIR reflectance space for homogeneous canopies is proposed and demonstrated. A canopy radiative transfer model, known as the Cooper-Smith-Pitts model, is utilized with truncation of the higher order interaction term between the canopy and soil layers. The technique consists of two model simulations, one with a perfect absorber as canopy background and the other with an arbitrary background to estimate the canopy optical properties necessary for the determination of the isoline parameters. These cases are independent of the soil optical properties of any specific site. Hence, the results can be used for any type or series of soils to construct the vegetation isoline equation. A set of simulations was also conducted using the SAIL model to demonstrate the vegetation isoline derivation by the proposed technique. Reflectances and vegetation indices (VI) estimated from the vegetation isoline generally showed good agreement with those simulated by the SAIL model, especially for relatively darker soil. The isoline equation and derivation were found to be useful for further study of two-band VIs and their variation with canopy background
  • Keywords
    geophysical techniques; remote sensing; vegetation mapping; Cooper-Smith-Pitts model; IR reflection; NIR; SAIL model; canopy background; canopy optical properties; geophysical measurement technique; homogeneous canopy; infrared reflectance; isoline equations; model simulation; optical method; optical properties; perfect absorber; radiative transfer model; red-NIR reflectance space; remote sensing; vegetation mapping; visible region; Atmosphere; Biosensors; Brightness; Calibration; Equations; Optical sensors; Reflectivity; Remote monitoring; Soil; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.842012
  • Filename
    842012