• DocumentCode
    326911
  • Title

    Distinguishing open land areas from forest using single ERS SAR images

  • Author

    Manninen, A.T.

  • Author_Institution
    Remote Sensing, VTT Autom., Finland
  • Volume
    4
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    1799
  • Abstract
    Research of the usefulness of SAR images for forest applications has only recently received more attention. Good results have been obtained both with multitemporal analysis and interferometry. If the area of interest is very large, the double number of images needed for multitemporal approach or interferometry may become a problem. Also the time interval needed to obtain two suitable images may be a drawback. Therefore a forest/non-forest classification method using single SAR images has also potential, although it is clear that additional information brought by double imagery should increase reliability. Single ERS SAR images can be used for forest/non-forest classification of boreal forests in winter and up to the beginning of the growth of vegetation in the agricultural fields. Very wet weather conditions will probably disable the usage of a SAR image for classification
  • Keywords
    forestry; geophysical techniques; image classification; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS; InSAR; SAR; SAR image; double image; double imagery; forest; geophysical measurement technique; image classification; interferometry; land surface; land use; multitemporal analysis; open land area; radar imaging; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; vegetation mapping; Autocorrelation; Automation; Backscatter; Image analysis; Interferometry; Remote sensing; Rough surfaces; Shape; Surface roughness; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.703656
  • Filename
    703656