• DocumentCode
    291811
  • Title

    P-band radar mapping of forest biomass in boreal forests of interior Alaska

  • Author

    Rignot, E. ; Way, J.B. ; Williams, C. ; Viereck, L. ; Yarie, J.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1853
  • Abstract
    AIRSAR data gathered in winter, spring, and summer over the Bonanza Creek Experimental Forest, near Fairbanks, Alaska are compared to estimates of whole-tree aboveground dry biomass from 21 forest stands and 2 clear-cuts. Using empirical relationships, biomass values are predicted from the radar at various frequencies and polarizations and compared to actual biomass values. Predicted biomass levels are most accurate at P-band. At that frequency, the radar discriminates 7 biomass levels, up to the maximum observable biomass level for these forests, with 18% error. Within these 7 biomass levels data dispersion is large because of significant inner-stand spatial variations in biomass, interactions of the radar signals with a spatially varying three-dimensional structure of the canopy, as well as uncertainties associated with the estimation of stand biomass from empirical equations. Multiple incidence angle data also reveal that the incidence angle θi of the radar illumination affects the retrieval of biomass from the radar data even at HV-polarization when θi>50° or θi<25°. One consequence is that topographic information is required for mapping biomass in areas of moderate topography. Finally, the inversion curve for biomass retrieval varies with season and environmental conditions
  • Keywords
    airborne radar; forestry; geophysical techniques; radar applications; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; AIRSAR; Alaska; Bonanza Creek Experimental Forest; Fairbanks season; P-band; United States USA; VHF UHF; boreal forest; canopy; forest biomass; forestry; measurement technique; radar polarimetry; radar remote sensing; spring; summer; three-dimensional structure; vegetation mapping; winter; Biomass; Equations; Frequency; Information retrieval; Lighting; Polarization; Radar; Springs; Surfaces; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399587
  • Filename
    399587