• DocumentCode
    556893
  • Title

    SAR and optical data utilization for soil moisture retrieval in vegetated region

  • Author

    Singh, Dharmendra ; Prakash, Rishi ; Pathak, N.P. ; Mohan, Shiv ; Singh, K.P.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India
  • fYear
    2011
  • fDate
    26-30 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a fusion of information approach to retrieve the soil moisture in vegetated area with requirement of minimum apriori information. A normalization approach of scattering coefficient of vegetated area has been utilized so that normalized scattering coefficient becomes a function of vegetation only. The vegetation can also be modeled with NDVI, a vegetation index. An empirical relationship has been developed between normalized scattering coefficient and NDVI. This empirical relationship provides the scattering coefficient of bare soil which is inverted with Dubois model to retrieve volumetric soil moisture content.
  • Keywords
    data assimilation; hydrological techniques; moisture; remote sensing by radar; soil; synthetic aperture radar; vegetation; Dubois model; NDVI; SAR; information fusion; minimum a priori information; normalization approach; normalized difference vegetation index; normalized scattering coefficient; optical data utilization; soil moisture retrieval; vegetated area scattering coefficient; vegetated region; volumetric soil moisture content; Agriculture; Mathematical model; Remote sensing; Scattering; Soil moisture; Vegetation mapping; NDVI; SAR; scattering coefficient; soil moisture; vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4577-1351-4
  • Type

    conf

  • Filename
    6086948