• DocumentCode
    142746
  • Title

    Retrieve optical depth using microwave vegetation indices from WindSat data

  • Author

    Yunqing Li ; Jiancheng Shi ; Tianjie Zhao ; Tao Zhang

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    820
  • Lastpage
    823
  • Abstract
    Obtaining reliable vegetation optical depth (τ, tau) is essential for vegetation parameter estimation and soil moisture retrieval. In this paper, a lookup table method was developed to retrieve optical depth using MVIs, which can derive the optical depth and single scattering albedo simultaneously without any auxiliary data. The lookup table method is based on the relationship of the single scattering albedo and optical depth at two adjacent frequencies, respectively. The relationships are explored by using a large simulation database generated using a physical model. Then, a lookup table will be established according to the relationships. Following this, we will validate this method and analyze the source of errors.
  • Keywords
    albedo; remote sensing; table lookup; vegetation mapping; Windsat data; lookup table method; microwave vegetation indices; simulation database; single scattering albedo; soil moisture retrieval; vegetation optical depth; vegetation parameter estimation; Adaptive optics; Optical attenuators; Optical polarization; Optical scattering; Optical sensors; Vegetation mapping; Microwave vegetation indices; Optical depth; Radiative transfer model; WindSat data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946550
  • Filename
    6946550