• DocumentCode
    576334
  • Title

    An improved albedo algorithm using mono-angle remote sensing data in rugged terrain and preliminary validation

  • Author

    Zhao, Xiaojie ; Liu, Qinhuo ; Wen, Jianguang ; Liu, Qiang

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4256
  • Lastpage
    4259
  • Abstract
    Albedo is essential in earth radiation budget and global climate monitoring. GLASS albedo is a newly developed global broadband land-surface albedo product with 1-km spatial resolution and 1-day temporal resolution. AB algorithm is employed to generate daily albedo product by building a linear regression relationship between narrowband directional reflectance and broadband albedo. AB algorithm avoids the restrictions on the observing angles, but suffers from the assumption that the land surface should be homogeneous and flat without terrain relief. In our research, we proposed a technique to improve AB algorithm for retrieving albedo in rugged terrain, which is called TAB algorithm. The preliminary validation using simulation data indicated that the accuracy of AB algorithm could be significantly improved when the terrain effect is considered.
  • Keywords
    albedo; geophysical techniques; regression analysis; remote sensing; topography (Earth); GLASS albedo; TAB algorithm; daily albedo product; earth radiation budget; global broadband land-surface albedo product; global climate monitoring; improved albedo algorithm; linear regression relationship; monoangle remote sensing data; narrowband directional reflectance; observing angles; rugged terrain; simulation data; spatial resolution; temporal resolution; terrain effect; terrain relief; Broadband communication; Land surface; Remote sensing; Rough surfaces; Sun; Surface roughness; Surface topography; AB algorithm; TAB algorithm; broadband albedo; terrain relief;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351728
  • Filename
    6351728