• DocumentCode
    143407
  • Title

    Comparison of SMOS-retrieved and NDVI climatology-derived vegetation optical thickness

  • Author

    Patton, Jason ; Hornbuckle, Brian

  • Author_Institution
    Dept. of Agronomy, Iowa State Univ. of Sci. & Technol., Ames, IA, USA
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2554
  • Lastpage
    2557
  • Abstract
    The Soil Moisture Active Passive (SMAP) mission may require ancillary vegetation optical thickness (τ) information as part of SMAP´s soil moisture retrieval algorithm. Currently, the ancillary τ data comes from a normalized difference vegetation index (NDVI) climatology that is converted to τ. The Soil Moisture Ocean Salinity (SMOS) satellite measures τ as part of its soil moisture retrieval algorithm. In this paper, we compare SMOS τ to SMAP´s proposed NDVI climatology-derived τ (SMAP τ). During the growing season in heavily cultivated parts of Iowa, SMAP τ is usually larger than SMOS τ. The timing of the peak in τ is similar between the two data sets on the whole, but some SMOS pixels in 2012 peak earlier by 15-20 days.
  • Keywords
    hydrological techniques; moisture; remote sensing; soil; vegetation; NDVI climatology; SMAP mission; SMAP soil moisture retrieval algorithm; SMOS satellite; Soil Moisture Active Passive mission; Soil Moisture Ocean Salinity; normalized difference vegetation index; vegetation optical thickness; Agriculture; Sea measurements; Soil measurements; Soil moisture; Timing; Vegetation; Vegetation mapping; Microwave radiometry; SMAP; SMOS; vegetation water content;
  • 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.2014.6946994
  • Filename
    6946994