• DocumentCode
    897507
  • Title

    Evaluation of SPOT and TM data for forest stratification: a case study for small-size poplar stands

  • Author

    Borry, Franciska C. ; De Roover, Boudewijn P. ; Leysen, Marc M. ; De Wulf, Robert R. ; Goossens, Roland E.

  • Author_Institution
    Gent State Univ., Belgium
  • Volume
    31
  • Issue
    2
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    483
  • Lastpage
    490
  • Abstract
    The value of SPOT and TM data for stratification of poplar stands prior to volume inventory is assessed. The stratification is based upon the poplar development stage, which is determined by canopy closure and tree height. The effect of development stage and type of understorey vegetation on the spectral radiance of poplar stands is analyzed throughout the vegetation period. The optimal acquisition date(s) and spectral range(s) and the most suited classification approach for discrimination of poplar development stages are determined. Satellite images recorded during the full growing season are preferred for poplar stand stratification according to development stage. In this period the interfering effect of the understory vegetation is minimal in proportion to the effect of the poplar stand development stage. Young poplar stands can accurately be classified as long as the appropriate spectral range of an image registered during the full growing period is selected. The discrimination between young and other popular development stages is accurate enough for use in a stratification prior to volume inventory
  • Keywords
    remote sensing; SPOT data; Thematic Mapper data; canopy closure; classification; development stage; forest stratification; growing season; image acquisition date; remote sensing; small-size poplar stands; spectral radiance; spectral range; tree height; understorey vegetation; vegetation period; volume inventory; Breast; Computer aided software engineering; Costs; Predictive models; Reflectivity; Remote sensing; Satellites; Spatial resolution; Structural engineering; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.214924
  • Filename
    214924