• DocumentCode
    867476
  • Title

    Soil moisture retrieval using the C-band polarimetric scanning radiometer during the Southern Great Plains 1999 Experiment

  • Author

    Jackson, Thomas J. ; Gasiewski, Albin J. ; Oldak, Anna ; Klein, Marian ; Njoku, Eni G. ; Yevgrafov, Aleksandr ; Christiani, Sven ; Bindlish, Rajat

  • Author_Institution
    ARS Hydrology & Remote Sensing Lab., U.S. Dept. of Agric., Beltsville, MD, USA
  • Volume
    40
  • Issue
    10
  • fYear
    2002
  • fDate
    10/1/2002 12:00:00 AM
  • Firstpage
    2151
  • Lastpage
    2161
  • Abstract
    The Advanced Microwave Scanning Radiometer (AMSR) holds promise for retrieving soil moisture in regions with low levels of vegetation. Algorithms for this purpose have been proposed, but none have been rigorously evaluated due to a lack of datasets. Accordingly, the Southern Great Plains 1999 Experiment (SGP99) was designed to provide C-band datasets for AMSR algorithm development and validation. Ground observations of soil moisture and related variables were collected in conjunction with aircraft measurements using a C-band radiometer similar to the AMSR sensor (6.92 GHz), the Polarimetric Scanning Radiometer with its C-band scanhead (PSR/C). The study region has been the focus of several previous remote sensing field experiments and contains vegetation conditions compatible with the expected capabilities of C-band for soil moisture retrieval. Flights were conducted under a wide range of soil moisture conditions, thus providing a robust dataset for validation. A significant issue found in data processing was the removal of anthropogenic radio-frequency interference. Several approaches to estimating the parameters of a single-channel soil moisture retrieval algorithm were used. PSR/C soil moisture images show spatial and temporal patterns consistent with meteorological and soil conditions, and the dynamic range of the PSR/C observations indicates that the AMSR instrument can provide useful soil moisture information.
  • Keywords
    moisture measurement; radiometry; soil; terrain mapping; 6.92 GHz; AMSR; Advanced Microwave Scanning Radiometer; C-band polarimetric scanning radiometer; PSR/C; Polarimetric Scanning Radiometer; Southern Great Plains 1999 Experiment; aircraft measurements; algorithm development; anthropogenic radio-frequency interference; data processing; meteorological conditions; single-channel soil moisture retrieval algorithm; soil conditions; validation; vegetation conditions; Aircraft; Algorithm design and analysis; Focusing; Microwave radiometry; Moisture measurement; Remote sensing; Robustness; Soil measurements; Soil moisture; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2002.802480
  • Filename
    1105900