• DocumentCode
    2698058
  • Title

    Ground Scattering Analysis to Identify Targets for Refractivity Field Estimation

  • Author

    Fritz, Jason ; Chandrasekar, V.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Colorado State Univ., Fort Collins, CO
  • Volume
    5
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Efforts to estimate the near-surface moisture field using weather radar returns from coherent ground targets has been successfully demonstrated in recent years. A very crucial step to make the moisture retrieval successful is the identification of appropriate targets. The estimation process also depends on adequate spatial distribution of these targets, so it is actually more important to have a good distribution than to have every target be extremely coherent. Presently, however, there is no fully automated technique to identify the targets. The currently accepted method is to manually examine phase difference scans that span approximately an hour to identify a time period where the phase gradient is approximately the same across all azimuths. Unfortunately, this is not simple and improper selection can have drastically different results. In order to design an algorithm to automate this process, one must first understand the phase behavior of ground reflections for this purpose. Previous analysis of ground returns were for the purpose of eliminating them, but the work presented here aims to identify suitable targets for refractivity estimation.
  • Keywords
    meteorological radar; reflection; remote sensing by radar; scattering; target tracking; coherent ground targets; ground refractivity field estimation; ground scattering analysis; near-surface moisture field; target identification; targets spatial distribution; weather radar returns; Algorithm design and analysis; Azimuth; Humans; Meteorological radar; Moisture; Polarization; Refractive index; Scattering; Spatial resolution; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4780120
  • Filename
    4780120