Surface Albedo/BRDF Parameters (Terra/Aqua MODIS)

Trishchenko, Alexander

doi:10.5439/1169521

Title: Surface Albedo/BRDF Parameters (Terra/Aqua MODIS)

Dataset
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Abstract

Spatially and temporally complete surface spectral albedo/BRDF products over the ARM SGP area were generated using data from two Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on Terra and Aqua satellites. A landcover-based fitting (LBF) algorithm is developed to derive the BRDF model parameters and albedo product (Luo et al., 2004a). The approach employs a landcover map and multi-day clearsky composites of directional surface reflectance. The landcover map is derived from the Landsat TM 30-meter data set (Trishchenko et al., 2004a), and the surface reflectances are from MODIS 500m-resolution 8-day composite products (MOD09/MYD09). The MOD09/MYD09 data are re-arranged into 10-day intervals for compatibility with other satellite products, such as those from the NOVA/AVHRR and SPOT/VGT sensors. The LBF method increases the success rate of the BRDF fitting process and enables more accurate monitoring of surface temporal changes during periods of rapid spring vegetation green-up and autumn leaf-fall, as well as changes due to agricultural practices and snowcover variations (Luo et al., 2004b, Trishchenko et al., 2004b). Albedo/BRDF products for MODIS on Terra and MODIS on Aqua, as well as for Terra/Aqua combined dataset, are generated at 500m spatial resolution and every 10-day since March 2000 (Terra) and July 2002 (Aqua andmore »« less

Authors:: Trishchenko, Alexander

Publication Date:: Tue Jan 15 00:00:00 EST 2008

DOE Contract Number:: DE-AC05-00OR22725

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: PNL, BNL,ANL,ORNL

Subject:: 54 Environmental Sciences

Keywords:: Surface albedo

OSTI Identifier:: 1169521

DOI:: https://doi.org/10.5439/1169521

Citation Formats


                    Trishchenko, Alexander. Surface Albedo/BRDF Parameters (Terra/Aqua MODIS).  United States: N. p., 2008. 
        Web.  doi:10.5439/1169521.

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                    Trishchenko, Alexander. Surface Albedo/BRDF Parameters (Terra/Aqua MODIS).  United States.  doi:https://doi.org/10.5439/1169521

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                    Trishchenko, Alexander. 2008.  
"Surface Albedo/BRDF Parameters (Terra/Aqua MODIS)".  United States.  doi:https://doi.org/10.5439/1169521.  https://www.osti.gov/servlets/purl/1169521. Pub date:Tue Jan 15 00:00:00 EST 2008

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@article{osti_1169521,

  title        = {Surface Albedo/BRDF Parameters (Terra/Aqua MODIS)},

  author       = {Trishchenko, Alexander},

  abstractNote = {Spatially and temporally complete surface spectral albedo/BRDF products over the ARM SGP area were generated using data from two Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on Terra and Aqua satellites. A landcover-based fitting (LBF) algorithm is developed to derive the BRDF model parameters and albedo product (Luo et al., 2004a). The approach employs a landcover map and multi-day clearsky composites of directional surface reflectance. The landcover map is derived from the Landsat TM 30-meter data set (Trishchenko et al., 2004a), and the surface reflectances are from MODIS 500m-resolution 8-day composite products (MOD09/MYD09). The MOD09/MYD09 data are re-arranged into 10-day intervals for compatibility with other satellite products, such as those from the NOVA/AVHRR and SPOT/VGT sensors. The LBF method increases the success rate of the BRDF fitting process and enables more accurate monitoring of surface temporal changes during periods of rapid spring vegetation green-up and autumn leaf-fall, as well as changes due to agricultural practices and snowcover variations (Luo et al., 2004b, Trishchenko et al., 2004b). Albedo/BRDF products for MODIS on Terra and MODIS on Aqua, as well as for Terra/Aqua combined dataset, are generated at 500m spatial resolution and every 10-day since March 2000 (Terra) and July 2002 (Aqua and combined), respectively. The purpose for the latter product is to obtain a more comprehensive dataset that takes advantages of multi-sensor observations (Trishchenko et al., 2002). To fill data gaps due to cloud presence, various interpolation procedures are applied based on a multi-year observation database and referring to results from other locations with similar landcover property. Special seasonal smoothing procedure is also applied to further remove outliers and artifacts in data series.},

  doi          = {10.5439/1169521},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jan 15 00:00:00 EST 2008},

  month        = {Tue Jan 15 00:00:00 EST 2008}

}

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DOI: https://doi.org/10.5439/1169521

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