• DocumentCode
    2679717
  • Title

    Remote Sensing of Canopy Water Content During SMEX´04 and SMEX´05 Using Shortwave-Infrared Reflectances

  • Author

    Hunt, E. Raymond, Jr. ; Yilmaz, M. Tugrul ; Jackson, Thomas J.

  • Author_Institution
    USDA-ARS Hydrol. & Remote Sensing Lab., Beltsville, MD
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The Soil Moisture Experiments in 2004 and 2005 were conducted to validate algorithms for soil moisture retrievals. One of the key parameters for determination of soil moisture from microwave sensors is the vegetation water content of canopy and stems. We tested if canopy water content could be determined from reflectances in the shortwave-infrared and if the amount of canopy water content was related to the total vegetation water content by allometric equations. The normalized difference infrared index (NDII) was linearly related to canopy water content for all plants up to an equivalent water thickness of 1.0 mm. The biggest factor affecting the estimation of canopy water content was the soil background reflectance. For corn and soybean canopy equivalent water thickness were linearly related to total vegetation water content. However, there may be a separate allometric equation required for each vegetation type.
  • Keywords
    microwave measurement; reflectivity; soil; vegetation; vegetation mapping; SMEX´04; SMEX´05; Soil Moisture Experiments; canopy water content; corn; equivalent water thickness; microwave sensors; normalized difference infrared index; remote sensing; shortwave-infrared reflectances; soil background reflectance; soil moisture retrieval; soybean; vegetation water content; Atmospheric modeling; Equations; Hydrology; MODIS; Radiometers; Reflectivity; Remote sensing; Soil moisture; US Department of Agriculture; Vegetation mapping; Normalized Difference Infrared Index; Soil Moisture Experiment; Vegetation Water Content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779090
  • Filename
    4779090