• DocumentCode
    2209556
  • Title

    ADvances in radar forward and inverse scattering models of subsurface and subcanopy soil moisture and their role for the AirMOSS mission

  • Author

    Moghaddam, Mahta ; Tabatabaeenejad, Alireza ; Burgin, Mariko ; Duan, Xueyang

  • Author_Institution
    Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1274
  • Lastpage
    1277
  • Abstract
    The Airborne Observatory of Subcanopy and Subsurface (AirMOSS) is one of the five Earth Venture-1 missions selected in May 2010, and seeks to improve the estimates of the north American net ecosystem carbon exchange (NEE) through high-resolution observations of root zone soil moisture (RZSM). To obtain estimates of RZSM and assess its heterogeneities, AirMOSS will fly a P-band (430 MHz) synthetic aperture radar (SAR) over 2500 km2 areas within nine major biomes of north America. Retrieval of RZSM in the presence of substantial vegetation requires the construction of accurate radar scattering models that account for diverse vegetation conditions as well as subsurface inhomogeneities. In this paper we provide a summary of recent advances in this area, emphasizing several coherent and incoherent models of scattering from multilayered inhomogeneous rough surfaces, as well as strategies for using these forward models in retrieval algorithms.
  • Keywords
    ecology; inverse problems; remote sensing by radar; soil; synthetic aperture radar; vegetation; vegetation mapping; AD 2010 05; AirMOSS mission; Airborne Observatory of Subcanopy and Subsurface; Earth Venture-1 missions; North America; P-band synthetic aperture radar; coherent scattering model; diverse vegetation conditions; frequency 430 MHz; high-resolution observation data; incoherent scattering model; inverse scattering models; multilayered inhomogeneous rough surfaces; net ecosystem carbon exchange; radar scattering models; retrieval algorithms; root zone soil moisture; subcanopy soil moisture; subsurface inhomogeneities; subsurface soil moisture; Atmospheric modeling; Biological system modeling; Scattering; Soil moisture; Synthetic aperture radar; Vegetation mapping; Forest scattering; multispecies vegetation; synthetic aperture radar (SAR) backscattering; wave theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351307
  • Filename
    6351307