• DocumentCode
    1345202
  • Title

    Reciprocity of the bidirectional reflectance distribution function (BRDF) in measurements and models of structured surfaces

  • Author

    Snyder, William C.

  • Author_Institution
    GDE Syst. Inc., San Diego, CA., USA
  • Volume
    36
  • Issue
    2
  • fYear
    1998
  • fDate
    3/1/1998 12:00:00 AM
  • Firstpage
    685
  • Lastpage
    691
  • Abstract
    The bidirectional reflectance distribution function (BRDF) is one of the most important surface properties for terrestrial remote sensing, but its definition for structured surfaces is not fully understood. The BRDF of flat surfaces has a straightforward definition and is usually considered to be reciprocal, which means the value is the same when the source and detector angles are switched. Structured surfaces, such as forest canopies and grasslands, require an extension of the definition of BRDF and some additional measurement conditions. In this paper, a definition for the BRDF of structured surfaces is proposed, and it is shown that with this definition, the BRDF is reciprocal. In addition some of the related geometrical measurement requirements are discussed. It is concluded that reciprocity should apply for both measurements and models of structured surfaces and that field measurements violate reciprocity not because the BRDF itself is nonreciprocal, but because of uncorrected geometric and radiometric factors
  • Keywords
    geophysical techniques; remote sensing; BRDF; bidirectional reflectance distribution function; definition; forest canopy; geometrical requirement; geophysical measurement technique; grassland; land surface; model; optical imaging; reciprocal; reciprocity; remote sensing; rough surface; structured surface; terrain mapping; vegetation mapping; Bidirectional control; Correlators; Distribution functions; Extraterrestrial measurements; Microwave radiometry; Radio interferometry; Remote sensing; Sea measurements; Sea surface; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.662750
  • Filename
    662750