• DocumentCode
    2888436
  • Title

    The retrieval of land surface albedo in rugged terrain

  • Author

    Gao, Bo ; Jia, Li ; Menenti, Massimo

  • Author_Institution
    State Key Laboratory of Remote Sensing Science, Beijing, China
  • fYear
    2012
  • fDate
    8-11 June 2012
  • Firstpage
    41
  • Lastpage
    45
  • Abstract
    Land surface albedo may be derived from the satellite data through the estimation of a bidirectional reflectance distribution function (BRDF) model and angular integration. However many BRDF models do not consider explicitly the topography. In rugged terrain, the topography influences the observed surface reflectance, and varies the distribution of downward irradiance, so that BRDF and angular integration will change from flat area to rugged area. This paper details an approach to take into account the topography influences on the surface reflectance, and outlines an algorithm considering the topographic factor. This algorithm makes use of a Digital Elevation Model (DEM) to correct the incidence angle and the reflection angle in a BRDF model, and performs the angular integration based on the different distribution of downward irradiance between a flat area and a rugged area. This approach was applied to HJ-1A/B data and the results were compared with the ones obtained with the algorithm designed for NASA´s MODIS data.
  • Keywords
    HJ-1A/B; bidirectional reflectance distribution function; land surface albedo; topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Earth Observation and Remote Sensing Applications (EORSA), 2012 Second International Workshop on
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-4673-1947-8
  • Type

    conf

  • DOI
    10.1109/EORSA.2012.6261131
  • Filename
    6261131