• DocumentCode
    576730
  • Title

    Retrieval of single scattering albedo of winter wheat in North China Plain based on AMSR-E data

  • Author

    Wu, Fengmin ; Chai, Linna ; Zhang, Lixin ; Jiang, Lingmei ; Yang, Juntao

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6487
  • Lastpage
    6490
  • Abstract
    In this study, a parameterized first-order radiative transfer (RT) model for short vegetation layer is employed to retrieve the single scattering albedo of winter wheat by combining passive microwave AMSR-E data with optical MODIS data. The microwave vegetation indices (MVIs) with two adjacent frequencies of AMSR-E at H/V polarization derived from the parameterized model are used to cancel out the ground surface emission signals. Then a simulating database based on field measured parameters is established to figure out the relationship of the optical thickness, single scattering albedo at C and X band, respectively. Finally the characteristics of retrieved single scattering albedo are analyzed and the daily NDVI was utilized for evaluating the retrieved results.
  • Keywords
    albedo; crops; geophysical signal processing; radiative transfer; vegetation mapping; C band; H polarization; North China plain; V polarization; X band; daily NDVI; field measured parameters; ground surface emission signals; microwave vegetation indices; optical MODIS data; optical thickness; parameterized first-order radiative transfer model; passive microwave AMSR-E data; short vegetation layer; single scattering albedo; winter wheat; Databases; MODIS; Microwave theory and techniques; Optical scattering; Optical sensors; Vegetation mapping; parameterized model; passive microwave; single scattering albedo; the first-order radiative transfer theory;
  • 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.2012.6352747
  • Filename
    6352747