• DocumentCode
    484410
  • Title

    An Improved Algorithm to Produce Spatio-Temporally Continuous MODIS Albedo Product in China

  • Author

    He, Tao ; Xiao, Zhiqiang ; Wang, Jindi

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Surface albedo is one of the key radiation parameters required for modeling of the Earth´s energy budget, and many ecological and climate models usually require high quality consistent surface albedo as inputs and validation sources. The Moderate Resolution Imaging Spectroradiometer (MODIS) has been providing surface albedo products periodically. However, due to influence of weather, sensors and algorithms, MODIS albedo products often have many gaps and low quality pixels. This paper proposed an improved spatio-temporal smoothing algorithm utilizing multilevel procedure that combines spatial interpolation and tempora smoothing to get better albedo products based on multiyear observations and high quality neighboring pixels. Compared with field measurements, the improved albedo products in China based on MOD43B3 show better correlation with the measured surface albedo with the overall root mean squared errors around 0.0767. The generated albedo products may be applied in land surface models.
  • Keywords
    albedo; ecology; geophysical techniques; mean square error methods; remote sensing; China; Earth energy budget; MOD43B3; MODIS; Moderate Resolution Imaging Spectroradiometer; climate model; ecology model; land surface model; mean square error method; radiation parameter; satellite remote sensing sensor; spatial interpolation; spatio-temporal smoothing algorithm; surface albedo; weather; Biological system modeling; Clouds; Filters; Interpolation; Land surface; MODIS; Quality control; Remote sensing; Smoothing methods; Snow; MODIS; albedo; multiyear background; spatio-temporally continuous;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779545
  • Filename
    4779545