• DocumentCode
    1017185
  • Title

    Spaceborne applications of P band imaging radars for measuring forest biomass

  • Author

    Rignot, Eric J. ; Zimmermann, Reiner ; Van Zyl, Jakob J.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    33
  • Issue
    5
  • fYear
    1995
  • fDate
    9/1/1995 12:00:00 AM
  • Firstpage
    1162
  • Lastpage
    1169
  • Abstract
    In three sites of boreal and temperate forests, P band HH, HV, and W polarization data combined estimate total aboveground dry woody biomass within 12 to 27% of the values derived from allometric equations, depending on forest complexity. Biomass estimates derived from HV-polarization data only are 2 to 14% less accurate. When the radar operates at circular polarization, the errors exceed 100% over flooded forests, wet or damaged trees and sparse open tall forests because double-bounce reflections of the radar signals yield radar signatures similar to that of tall and massive forests. Circular polarizations, which minimize the effect of Faraday rotation in spaceborne applications, are therefore of limited use for measuring forest biomass. In the tropical rain forest of Manu, in Peru, where forest biomass ranges from 4 kg m-2 in young forest succession up to 50 kg m-2 in old, undisturbed floodplain stands, the P band horizontal and vertical polarization data combined separate biomass classes in good agreement with forest inventory estimates. The worldwide need for large scale, updated, biomass estimates, achieved with a uniformly applied method, justifies a more in-depth exploration of multi-polarization long wavelength imaging radar applications for tropical forests inventories
  • Keywords
    forestry; geophysical techniques; radar applications; radar polarimetry; remote sensing by radar; spaceborne radar; Manu; P-band imaging radar; Peru; UHF VHF; dry woody biomass; flooded forest; forestry; geophysical measurement technique; polarization; radar polarimetry; radar remote sensing; spaceborne radar; tropical forest; tropical region; vegetation mapping; Biomass; Equations; Polarization; Radar applications; Radar imaging; Radar measurements; Rain; Reflection; Rotation measurement; Spaceborne radar;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.469480
  • Filename
    469480