• DocumentCode
    3063542
  • Title

    An improved bidirectional reflectance distribution function (BRDF) over rugged terrain based on moderate spatial resolution remote sensing data

  • Author

    Bo Gao ; Li Jia ; Menenti, Massimo

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2766
  • Lastpage
    2769
  • Abstract
    Land surface albedo is derived from a bidirectional reflectance distribution function (BRDF) model with angular integration of BRDF. The kernel-driven model is based on the Algorithm for MODIS Bidirectional Reflectance Anisotropic of Land Surface (AMBRALS) to retrieve land surface albedo. However, at moderate/low spatial resolution scale, topography results in mutual shading of sub-pixels, the kernel-driven model does not deal explicitly with such topographic effects. This paper proposes an improved kernel-driven model by adding a topographic factor to the kernel-driven model. This model was applied to MODIS land surface reflectance and the results were compared with the ones obtained with AMBRALS. The results were evaluated against ground measurements.
  • Keywords
    terrain mapping; AMBRALS; Algorithm for MODIS Bidirectional Reflectance Anisotropic of Land Surface; BRDF angular integration; BRDF model; MODIS data; Moderate Spatial Resolution Remote Sensing; bidirectional reflectance distribution function; kernel-driven model; land surface albedo; rugged terrain; sub-pixel mutual shading; Bidirectional control; Kernel; Land surface; Optical surface waves; Reflectivity; Remote sensing; Surface topography; BRDF; MODIS; land surface albedo; topographic effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723397
  • Filename
    6723397