• DocumentCode
    2451818
  • Title

    Accuracy assessment of MODIS daily snow albedo product based on scaling transformation

  • Author

    Wang, Jie ; Ye, Baisheng ; Cui, Yuhuan ; Yang, Guojing ; He, Xiaobo ; Sun, Weijun

  • Author_Institution
    State Key Lab. of Cryospheric Sci., Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    2865
  • Lastpage
    2870
  • Abstract
    MOD10A1 product provides daily shortwave albedo in the regions covered by ice and snow, validation work is needed to access the usefulness for the cryospheric science applications. In this study, ground measurements on three typical glaciers in western China are used to calibrate the albedo products derived from TM images, which are then aggregated to MODIS resolution for determining the accuracy of MOD10A1 daily albedo product. The validation results show that: the product on continental type glaciers is reasonably accurate, with the average error of less than 0.026, and the RMSE less than 0.068, so it can be applied to cryospheric science research; the product on maritime type glaciers replies a relative poor accuracy, with the average error of -0.073 and the RMSE 0.112. The difference in accuracy of MOD10A1 daily albedo product over different glaciers may be caused by the diverse surface characters of different type glaciers.
  • Keywords
    glaciology; hydrological techniques; radiometry; snow; MOD10A1 product; MODIS daily snow albedo product; TM images; accuracy assessment; cryospheric science applications; daily shortwave albedo; ground measurements; maritime type glaciers; scaling transformation; western China; Accuracy; Atmospheric modeling; Ice; MODIS; Snow; Spatial resolution; MOD10A1; accuracy assessment; albedo; calibration; spatial scale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964912
  • Filename
    5964912