• DocumentCode
    576274
  • Title

    Effect of tree species on PALSAR INSAR coherence over Siberian forest at frozen and unfrozen conditions

  • Author

    Thiel, Christian ; Schmullius, Christiane

  • Author_Institution
    Dept. of Earth Obs., Friedrich-Schiller Univ., Jena, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    Numerous studies demonstrated the potential of interferometric coherence for forest stem volume estimation in boreal forests. Coherence derived from winter images acquired at frozen conditions proved being favourable against unfrozen conditions. This also applies to PALSAR coherence, although featuring relatively large temporal baseline of at least 46 days. However, when using data acquired at unfrozen conditions, a large spread of coherence was observed at all stem volume levels. This scatter negatively effects the correlation of stem volume and coherence, and thus prevents using summer coherence for stem volume estimation. Besides environmental conditions, the different tree geometries can be assumed having an impact on the magnitude of decorrelation. So far, this impact has rarely been investigated in boreal forests. This paper presents the results of a study investigating the impact of tree species on PALSAR coherence. The results show increased scatter of coherence in summer. They also show that the coherence of dense forest is larger in summer than in winter. Eventually, a slight impact of the tree species on coherence was observed. This impact is larger in summer.
  • Keywords
    forestry; geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; vegetation; PALSAR INSAR coherence; Siberian forest; boreal forests; forest stem volume estimation; interferometric coherence; tree geometries; tree species; unfrozen condition; Backscatter; Coherence; Decorrelation; Remote sensing; Spaceborne radar; Synthetic aperture radar; Vegetation; INSAR; coherence; freezing; stem volume; tree species;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351605
  • Filename
    6351605