• DocumentCode
    1890894
  • Title

    The annual behavior of backscattering and coherence of PALSAR data

  • Author

    Ni, Wenjian ; Guo, Zhifeng ; Zhang, Zhiyu ; Sun, Guoqing

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Appl., Beijing, China
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    2472
  • Lastpage
    2475
  • Abstract
    Forest biomass is important information for the forest management and the studies of global changes. Researches showed that SAR data is superior in the estimation of forest biomass. However the backscattering coefficients are not the direct measurements of forest biomass. It can be affected by forest canopy spatial structures. In this study, eight scenes of PALSAR data acquired from July 10th 2007 to July 12th 2008 were collected. The annual behavior of backscattering coefficients and coherence derived from these interferometric PALSAR data were investigated. The results showed that the summer data showed high backscattering while the winter data showed low backscattering. The coherence of PALSAR InSAR data was the highest in the summer lowest in the winter. The coherence from summer data was negatively correlated with forest biomass. But the coherence from spring data showed higher coherence in the areas with higher forest biomass. The difference between SRTM elevation and digital elevation model generated by PALSAR interferometric data in the summer shows the potential for forest biomass mapping.
  • Keywords
    digital elevation models; radar interferometry; synthetic aperture radar; vegetation mapping; PALSAR InSAR data; SRTM elevation; backscattering coefficients; digital elevation model; forest biomass mapping; forest canopy spatial structures; forest management; interferometric PALSAR data; winter data; Backscatter; Biomass; Coherence; Histograms; Remote sensing; Spaceborne radar; Vegetation mapping; InSAR; PALSAR; forest biomass; multi-temporal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049712
  • Filename
    6049712