• DocumentCode
    1900028
  • Title

    Dual polarised Entropy/alpha decomposition and coherence optimisation for improved forest height mapping

  • Author

    Zhou, Zheng-Shu ; Caccetta, Peter ; Lehmann, Eric ; Held, Alex ; McNeill, Stephen ; Mitchell, Anthea ; Milne, Anthony ; Tapley, Ian ; Lowell, Kim

  • Author_Institution
    Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Canberra, ACT, Australia
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    3951
  • Lastpage
    3954
  • Abstract
    In this paper we propose an approach implementing the dual polarised Entropy/alpha decomposition [1] and coherence optimisation [8] for improved forest mapping. We explore the dual polarised Entropy/alpha decomposition for better forest/non-forest discrimination and the multiple partial polarimetric coherence optimisation for subsequent forest canopy/height estimation. The integrated forest discrimination and coherence-forest height estimation for the task of producing forest extent, change and trend information are examined with in situ LiDAR data.
  • Keywords
    entropy; forestry; optical radar; optimisation; radar polarimetry; remote sensing by laser beam; vegetation mapping; alpha decomposition process; coherence-forest height estimation; dual polarised entropy; forest discrimination analysis; forest height mapping method; in situ lidar data; nonforest discrimination analysis; partial polarimetric coherence optimisation method; Biomass; Coherence; Entropy; Laser radar; Optimization; Radar polarimetry; coherence optimisation; dual polarised Entropy/alpha decomposition; multiple scattering mechanisms (MSM);
  • 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.2011.6050096
  • Filename
    6050096