• DocumentCode
    298915
  • Title

    Sensitivity of AIRSAR data to changes in component biomass for BOREAS jack pine stands

  • Author

    Lang, R.H. ; Kilic, O. ; Cacciola, R. ; Chauhan, N. ; Landry, R.

  • Author_Institution
    George Washington Univ., Washington, DC, USA
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    722
  • Abstract
    As part of the BOREAS experiment, the relationship between the components of stand biomass and the radar backscattering coefficients are examined. Four jack pine stands with broadly varying biomass statistics are compared to AIRSAR P-band data. Even age stands have been chosen with biomass values ranging from 10 to 200 t/ha. Stand statistics, architecture, dielectric constants and forest surface characteristics have been measured and the biomass of trunks, branches and needles have been computed for each stand. A two layer distorted Born forest model (single scatter) has been used to compute the like polarized backscatter at P-band. The results are in general agreement with the AIRSAR data. The sensitivity of backscatter to changes in biomass is evaluated by using the forest model. Analysis shows the P-band backscatter is most sensitive to changes in trunk biomass, however certain anomalous parameter ranges do exist
  • Keywords
    backscatter; electromagnetic wave polarisation; electromagnetic wave scattering; forestry; radar cross-sections; remote sensing by radar; synthetic aperture radar; AIRSAR data; BOREAS jack pine stands; P-band; architecture; branches; component biomass; dielectric constants; needles; polarized backscatter; radar backscattering coefficients; rest surface characteristics; statistics; trunks; two layer distorted Born forest model; Backscatter; Biomass; Computer architecture; Dielectric constant; Dielectric measurements; Distortion measurement; Lifting equipment; Needles; Radar; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.520567
  • Filename
    520567