• DocumentCode
    3327
  • Title

    Using DDM Asymmetry Metrics for Wind Direction Retrieval From GPS Ocean-Scattered Signals in Airborne Experiments

  • Author

    Valencia, E. ; Zavorotny, Valery U. ; Akos, D.M. ; Camps, A.

  • Author_Institution
    Dept. Teor. del Senyal i Comunicacions, Univ. Politec. de Catalunya (UPC), Barcelona, Spain
  • Volume
    52
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    3924
  • Lastpage
    3936
  • Abstract
    Reflectometry of signals of opportunity such as those emitted by a global navigation satellite system, known as GNSS-R, has been developed over the past years as a technique with great potential for ocean scatterometry, among other applications. Different approaches have been proposed to use GNSS-R for remote sensing of ocean surface roughness. One of them is based on deriving some descriptor/metric from the measured delay-Doppler map (DDM) and directly relating it to a geophysical property of the scattering surface. For instance, different descriptors have been proposed in the literature to measure the DDM spreading caused by the increase in ocean surface mean square slopes due to surface winds. In this paper, a new descriptor based on the DDM is proposed for wind direction retrieval. This descriptor, designated as the skewness angle φ1,skew, measures the asymmetry in the DDM power distribution along the Doppler frequency axis, and it was modeled as a function of wind direction by means of a simulation study. Then, that model was validated using real GNSS-R data from an airborne experiment. After validation, the DDM skewness model was successfully used for wind direction retrieval, with a resulting rms error on the order of 20 °.
  • Keywords
    Global Positioning System; oceanographic techniques; reflectometry; remote sensing; satellite navigation; wind; DDM asymmetry metrics; DDM descriptor-metric; DDM power distribution; DDM skewness model; DDM spreading; Doppler frequency axis; GPS ocean-scattered signals; airborne experiments; asymmetry measurement; global navigation satellite system; measured delay-Doppler map descriptor-metric; ocean scatterometry; ocean surface mean square slopes; ocean surface roughness; real GNSS-R data; remote sensing; rms error; scattering surface geophysical property; signal reflectometry; simulation study; skewness angle; surface winds; wind direction function; wind direction retrieval; Atmospheric modeling; Sea measurements; Sea surface; Surface waves; Vectors; Wind speed; Delay-Doppler mapping; Global Positioning System (GPS); global navigation satellite system (GNSS); ocean remote sensing; ocean surface wind direction; reflected GPS;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2278151
  • Filename
    6595044