• DocumentCode
    2117707
  • Title

    The evaluation of different sensors and techniques for the detection of storm damages in forests

  • Author

    Steinmeier, C. ; Schwarz, M. ; Holecz, F. ; Stebler, O. ; Wagner, S.

  • Author_Institution
    Swiss Fed. Res. Inst. WSL, Birmensdorf, Switzerland
  • Volume
    3
  • fYear
    2002
  • fDate
    24-28 June 2002
  • Firstpage
    1774
  • Abstract
    After each disastrous storm event quick and reliable information of the extent of forest damage is required. This study investigates different remote sensing data and analysis methods for their possible fields of application to detect blowdowns. Therefore both optical satellite sensors and synthetic aperture radar data in various frequencies were evaluated. Obligatory aspects under consideration were the operational usage, the heterogeneity of the Swiss landscape, the effects of topography and season in Alpine regions and last but not least the financial conditions. Classification results were compared to aerial images which were interpreted manually on an stereoscopic base. The pros and cons of the sensors and the analysis techniques are very heterogeneous. In order to assign the appropriate data with the most suitable classification method, the primary objective of the classification must be set up.
  • Keywords
    forestry; image classification; radar imaging; remote sensing by radar; storms; synthetic aperture radar; vegetation mapping; Alpine regions; SAR data; Swiss landscape; Switzerland; analysis methods; analysis techniques; blowdowns; classification method; forests; optical satellite sensors; remote sensing data; stereoscopic aerial images; storm damage; storm information; synthetic aperture radar; topographic effects; Adaptive optics; Data analysis; Frequency; Laser radar; Optical sensors; Radar detection; Remote sensing; Satellites; Storms; Surfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1026250
  • Filename
    1026250