• DocumentCode
    3024783
  • Title

    Downscaling of SMOS derived soil moisture and validation with ground truth data

  • Author

    Calla, O.P.N. ; Kalla, Abhishek ; Rathore, Gaurav ; Gadri, Kishan Lal ; Sharma, Ritu ; Agrahari, Sunil Kumar

  • Author_Institution
    Int. Centre for Radio Sci., Jodhpur, India
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    735
  • Lastpage
    738
  • Abstract
    On Nov 02, 2009, European Space Agency (ESA) launched Soil Moisture and Ocean Salinity (SMOS) mission to monitor surface soil moisture and sea surface salinity using natural L-Band microwave emission. As the operating frequency of SMOS is 1.4 GHz, consequently, in spite of its high temporal resolution (~3 days), has low spatial resolution of ~ 40 km. In the present paper, downscaling of SMOS derived low resolution soil moisture is done by synergistically combining it with high resolution optical/IR data from MODIS over a test site in Gujarat, India and validated the same against ground truth soil moisture data at 1 km spatial resolution. In the validation, it is observed that the difference between downscaled soil moisture (%) and ground truth soil moisture (%) is below 4.12 % for 60% of total datasets and for 90% of total datasets the difference is below 11%.
  • Keywords
    environmental monitoring (geophysics); infrared imaging; microwave imaging; moisture; remote sensing; salinity (geophysical); soil; AD 2009 11 02; ESA; European Space Agency; Gujarat; India; MODIS; SMOS derived soil moisture downscaling; Soil Moisture and Ocean Salinity mission; frequency 1.4 GHz; ground truth data; high resolution optical/IR data; low resolution soil moisture; natural L-band microwave emission; sea surface salinity; surface soil moisture monitoring; validation; Land surface temperature; MODIS; Mathematical model; Moisture; Soil moisture; Spatial resolution; Vegetation mapping; SMOS; downscaling; ground truth; soil moisture; validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721262
  • Filename
    6721262