• DocumentCode
    3411267
  • Title

    Wind map retrieval from SAR data for offshore wind turbines positioning

  • Author

    Buonanno, Sabatino ; Cuozzo, Giovanni ; Fusco, Adele

  • Author_Institution
    Mediterranean Agency for Remote Sensing & Environ. Control - MARSec, Benevento
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    2311
  • Lastpage
    2316
  • Abstract
    The feasibility study for the selection of the optimal site for offshore wind farms is usually made by in situ measurements. This methodology suffers from point information that is not sufficient for this purpose, because it is needed a dense spatial wind information. Remote sensing overcomes this problem by using the high capability to cover periodically wide areas in one acquisition. From this point of view satellite synthetic aperture radar (SAR) wind mapping can be a useful tool in selecting optimal sites and may therefore increase the cost-effectiveness of planning wind farms. In this paper an overview on the physical backscattering mechanisms that models the wind signatures in SAR images is illustrated. Several strategies to derive wind map are described and some results using CMOD algorithm are shown.
  • Keywords
    offshore installations; radar imaging; remote sensing; synthetic aperture radar; wind turbines; SAR data; dense spatial wind information; offshore wind turbines positioning; physical backscattering mechanisms; remote sensing; satellite synthetic aperture radar wind mapping; wind map retrieval; Information retrieval; Optimal control; Remote sensing; Satellites; Sea measurements; Spaceborne radar; Synthetic aperture radar; Telephony; Wind farms; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-1665-3
  • Electronic_ISBN
    978-1-4244-1666-0
  • Type

    conf

  • DOI
    10.1109/ISIE.2008.4677080
  • Filename
    4677080