• Title of article

    Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods

  • Author/Authors

    Wang، نويسنده , , Zhuosen and Schaaf، نويسنده , , Crystal B. and Strahler، نويسنده , , Alan H. and Chopping، نويسنده , , Mark J. and Romلn، نويسنده , , Miguel O. and Shuai، نويسنده , , Yanmin and Woodcock، نويسنده , , Curtis E. and Hollinger، نويسنده , , David Y. and Fitzjarrald، نويسنده , , David R.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    18
  • From page
    60
  • To page
    77
  • Abstract
    This study assesses the Moderate-resolution Imaging Spectroradiometer (MODIS) BRDF/albedo 8 day standard product and products from the daily Direct Broadcast BRDF/albedo algorithm, and shows that these products agree well with ground-based albedo measurements during the more difficult periods of vegetation dormancy and snow cover. Cropland, grassland, deciduous and coniferous forests are considered. Using an integrated validation strategy, analyses of the representativeness of the surface heterogeneity under both dormant and snow-covered situations are performed to decide whether direct comparisons between ground measurements and 500-m satellite observations can be made or whether finer spatial resolution airborne or spaceborne data are required to scale the results at each location. Landsat Enhanced Thematic Mapper Plus (ETM +) data are used to generate finer scale representations of albedo at each location to fully link ground data with satellite data. In general, results indicate the root mean square errors (RMSEs) are less than 0.030 over spatially representative sites of agriculture/grassland during the dormant periods and less than 0.050 during the snow-covered periods for MCD43A albedo products. For forest, the RMSEs are less than 0.020 during the dormant period and 0.025 during the snow-covered periods. However, a daily retrieval strategy is necessary to capture ephemeral snow events or rapidly changing situations such as the spring snow melt.
  • Keywords
    MODIS standard and daily Albedo product , Snow albedo , Forest , grassland , Spatial representativeness
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2014
  • Journal title
    Remote Sensing of Environment
  • Record number

    1633840