• DocumentCode
    1137129
  • Title

    Modeling directional brightness temperature over a maize canopy in row structure

  • Author

    Yu, Tao ; Gu, XingFa ; Tian, Guoliang ; Legrand, Michel ; Baret, Frédéric ; Hanocq, Jean-François ; Bosseno, Roland ; Zhang, Yong

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
  • Volume
    42
  • Issue
    10
  • fYear
    2004
  • Firstpage
    2290
  • Lastpage
    2304
  • Abstract
    A study on modeling the variations of directional brightness temperature (DBT) for row-structure crops was carried out with the images captured by a large-aperture thermal infrared camera over a maize canopy. The model assumes that the DBT is a function of target component brightness temperatures and their directional fractions. The canopy has three brightness temperature components: the sunlit soil, the shaded soil, and the vegetation. Their fractions in the scene depend on the sun-view geometry and the distributions of gaps within and between plant rows. To describe canopy geometrical features, a series of porous hedgerows with a rectangular cross section is used. The directional variations of gap fractions are described by the Kuusk function. The model demonstrated how the features of DBT depend on the sun-view geometry, canopy geometrical structure, and component brightness temperatures. In the simulation of DBT over a middle-density canopy near the local noontime, the results revealed an evident row-direction-oriented hot stripe in DBT polar maps, where the hot spot appeared along the sun direction. The sensitivities of the model to the input parameters were tested. Further validation demonstrated a close correlation between predicted DBT and field observations.
  • Keywords
    atmospheric radiation; crops; infrared imaging; radiative transfer; vegetation mapping; DBT polar maps; GORT model; Kuusk function; Sun direction; Sun-view geometry; canopy geometrical features; canopy geometrical structure; component brightness temperatures; directional brightness temperature modeling; directional brightness temperature variations; directional fractions; directional variations; gap distributions; gap fractions; geometrical optical and radiative transfer; image capture; large-aperture thermal infrared camera; maize canopy; middle-density canopy; plant rows; porous hedgerows; rectangular cross section; row structure; row-direction-oriented hot stripe; row-structure crops; shaded soil; sunlit soil; vegetation; Brightness temperature; Cameras; Crops; Geometry; Infrared imaging; Layout; Soil; Solid modeling; Sun; Vegetation mapping; DBT; Directional brightness temperature; GORT; geometric optical and radiative transfer; maize canopy; model; row structure;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2004.834196
  • Filename
    1344180