• DocumentCode
    3690165
  • Title

    Assessment of fire peatland damages using polarimetric L-band ALOS

  • Author

    R. Touzi;K. Omari;B. Sleep

  • Author_Institution
    Canada Centre for Remote Sensing Natural Resources Canada, 560 Rochester Street, Ottawa, Ontario K1A0E4
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1195
  • Lastpage
    1198
  • Abstract
    The potential of polarimetric L-band PALSAR and the Touzi decomposition [1] for peatland classification and mapping is confirmed using a series of polarimetric ALOS acquisitions collected in the Athabasca oil sand exploration region (near Fort McMurray, Alberta). The sensitivity of the scattering type phase to peatland subsurface water flow permits an enhanced discrimination of poor fen from bogs; two wetland classes that can hardly be discriminated by optic and conventional SAR sensors. The complementary information provided by the new “scattered wave” polarization signature [2] and its optimization, is also confirmed. The extrema of the degree of polarization (DoP) permit accurate assessment of peat health in burned treed bogs. The dynamic range (dRo) of the total scattered wave intensity permits better discrimination of burned from healthy forests in comparison with the intensity parameters generated with the incoherent target scattering decomposition (ICTD) and the conventional multi-polarization channels (HH, HV and VV). The added value of polarimetric L-band SAR information to Optics (Landsat TM) sensors for assessment of fire damages over peatlands is well demonstrated. While optics sensors can identify well burned forest and peatlands areas, accurate assessment of peat health in burned treed bogs can only be obtained using the peat subsurface information provided by the long penetrating L-band polarimetric ALOS.
  • Keywords
    "Scattering","Wetlands","L-band","Remote sensing","Satellites","Earth","Optical sensors"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7325986
  • Filename
    7325986