• DocumentCode
    3377479
  • Title

    Mapping of wind-thrown forests using satellite SAR images

  • Author

    Fransson, Johan E S ; Pantze, Andreas ; Eriksson, Leif E B ; Soja, Maciej J. ; Santoro, Maurizio

  • Author_Institution
    Dept. of Forest Resource Manage., Swedish Univ. of Agric. Sci., Umeå, Sweden
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1242
  • Lastpage
    1245
  • Abstract
    The study focuses on investigation and evaluation of wind-thrown forest mapping using satellite remotely sensed data from three synthetic aperture radar (SAR) sensors. The study is carried out at Remningstorp, a test site in the south of Sweden dominated by coniferous forest, where trees were manual felled to simulate wind-thrown forest. The satellite data consisted of time series of HH polarized SAR images acquired by the Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR), Radarsat-2 (C-band) and TerraSAR-X (X-band). The results from visual interpretation of SAR images acquired before and after the simulated wind-throw together with corresponding ratio images show that ALOS PALSAR HH polarized intensity images are not able to detect wind-thrown forest, probably due to too coarse spatial resolution. In contrast, the wind-thrown forest is clearly visible in the Radarsat-2 and TerraSAR-X HH polarized images, implying that it may be possible to develop a new application using these SAR data for mapping of wind-thrown forests.
  • Keywords
    remote sensing by radar; synthetic aperture radar; time series; vegetation mapping; ALOS Phased Array type L-band Synthetic Aperture Radar; HH polarized SAR images; PALSAR; Radarsat-2; Remningstorp test site; TerraSAR-X; X-band; coarse spatial resolution; coniferous forest; satellite SAR images; satellite data; satellite remotely sensed data; southern Sweden; synthetic aperture radar sensors; time series; visual interpretation; wind-thrown forest mapping; Backscatter; Image resolution; Satellites; Sensors; Storms; Synthetic aperture radar; Visualization; Synthetic aperture radar; change detection; forest; storm damage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654183
  • Filename
    5654183