• DocumentCode
    3056454
  • Title

    Locating tropical cyclones with integrated SAR and optical satellite imagery

  • Author

    Ke Wang ; Xiaojing Li ; Linlin Ge

  • Author_Institution
    Geosci. & Earth Observing Syst. Group (GEOS), Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    1626
  • Lastpage
    1629
  • Abstract
    Tropical cyclones (TC) are the most damaging natural hazards for coastal residents because of the associated casualties and property losses. The difficulties of recognizing and locating the eyes of TCs in previous research are because of cloud obstructions in optical images, especially during the formation stage of a TC. The distinct advantage of synthetic aperture radar (SAR) lies in its capability of cloud penetration and hence detection of signal response from sea surface backscatters, which can be used for better detection the eyes of TCs. The aim of this project is to pinpoint the track of a TC by studying the characteristic pattern of its eye, in order to predict its behavior by applying remotely sensed MODIS and ASAR data. This paper uses morphological operators to analyze and extract the region covered by the eye of a TC for the purpose of determining the relative centre of a TC´s eye, and then derive the most probable path.
  • Keywords
    backscatter; clouds; remote sensing by laser beam; remote sensing by radar; storms; synthetic aperture radar; ASAR data; TC formation stage; TC track; cloud obstructions; cloud penetration; coastal residents; cyclone eye; damaging natural hazards; integrated SAR; morphological operators; optical satellite imagery; remotely sensed MODIS; sea surface backscatters; synthetic aperture radar; tropical cyclone location; Australia; Correlation; Fitting; Image resolution; MODIS; Morphology; Optical imaging; SAR; Tropical cyclones; morphological analysis; satellite remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723103
  • Filename
    6723103