• DocumentCode
    576238
  • Title

    Operational surface soil moisture retrieval by c-band SAR imagery in a semi-arid environment

  • Author

    Dong, Lu ; Marzahn, Philip ; Ludwig, Ralf

  • Author_Institution
    Dept. of Geogr., Ludwig-Maximillian-Univ. Muenchen, Munich, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    626
  • Lastpage
    629
  • Abstract
    The work focuses on a development of a fully operational approach for surface soil moisture (SSM) monitoring and mapping in the semi-arid environment. A brief background of the work is described in the Section 1. The paper then carefully describes the rationale and the working procedures of the approach in Section 2 and Section 3 respectively. Model performance is demonstrated in Section 4 for both bare soil fields and crop fields. Promising results are noticed (RMSE= 5.76 vol. %) for bare fields for a large range of in situ SSM condition and (RMSE= 4.51 vol. %) crop fields for in situ SSM lower than 20 vol. %. A further application is also added to show the model´s capability in regional SSM mapping.
  • Keywords
    crops; geophysical image processing; hydrological techniques; soil; C-band SAR imagery; SSM condition; bare soil fields; crop fields; model performance; operational surface soil moisture retrieval; regional SSM mapping; semiarid environment; surface soil moisture mapping; surface soil moisture monitoring; working procedures; Agriculture; Mathematical model; Moisture; Rough surfaces; Soil moisture; Surface soil; Synthetic aperture radar; Soil moisture; Synthetic aperture radar;
  • 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.2012.6351516
  • Filename
    6351516