• DocumentCode
    143186
  • Title

    Feasibility analysis of hemi-boreal forest biomass estimation using Tomo-SAR

  • Author

    Li Wenmei ; Chen Erxue ; Li Zengyuan ; Zhang Wangfei

  • Author_Institution
    Sch. of Geogr. & Biol. Inf., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1871
  • Lastpage
    1874
  • Abstract
    The aim of this paper is to analyze the feasibility of hemi-boreal forest above ground biomass (AGB) estimation based on Tomo-SAR technique. Repeat-path multi-baseline P-band Pol-InSAR data collected during March and May, 2007 in Remningstorp test site is used. The result shows that the correlation coefficient (R) of P-band HH backscattering coefficient reaches 0.87 with the in-situ forest biomass. The R of P-band VV backscattering power at 5m and 10m is 0.71, 0.72 with the in-situ forest biomass, respectively.
  • Keywords
    radar interferometry; remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; AD 2007 03 to 05; P-band HH backscattering coefficient; P-band VV backscattering power; Remningstorp test site; Tomo-SAR technique; correlation coefficient; feasibility analysis; hemiboreal forest above ground biomass estimation; in-situ forest biomass; repeat-path multibaseline P-band Pol-InSAR data; Accuracy; Backscatter; Biomass; Estimation; Synthetic aperture radar; Tomography; Pol-InSAR; Tomo-SAR; forest biomass; hemi-boreal forest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946821
  • Filename
    6946821