• DocumentCode
    3690357
  • Title

    Unmixing low-resolution soil moisture using spectrum downscaling and evapotranspiration

  • Author

    Anqi Wang;Chao Xie;Peng Liu;Lianlian Xu

  • Author_Institution
    National Geomatics Center of China, Beijing
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1976
  • Lastpage
    1979
  • Abstract
    Using AMSR-E soil moisture and MODIS data, the authors developed a new downscaling algorithm for large-scale soil moisture data according to the spectrum downscaling algorithm by improving the model fitting equation and the evapotranspiration mode. The comparison with in situ data from Asia-Australia Monsoon Project of Coordinated Energy and water-cycle Observation Project (CEOP) in Mongolia showed that the downscaled soil moisture data and its changing trends was in good agreement with measured data. Hence the authors confirmed the downscaling method introduced in the paper was of high accuracy and credibility.
  • Keywords
    "Soil moisture","Spatial resolution","Microwave radiometry","Microwave theory and techniques","Optical sensors","Vegetation mapping","Microwave imaging"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326184
  • Filename
    7326184