• DocumentCode
    2131165
  • Title

    Biomass estimation from polarimetric SAR interferometry over heterogeneous forest terrain

  • Author

    Mette, T. ; Papathanassiou, K. ; Hajnsek, I.

  • Author_Institution
    Microwaves & Radar Inst., DLR, Oberpfaffenhofen
  • Volume
    1
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    511
  • Lastpage
    514
  • Abstract
    Polarimetric SAR interferometry (Pol-InSAR) permits an accurate forest height extraction by inverting the SAR data with the Random Volume over Ground-model (RVoG). These forest heights were subsequently converted to forest biomass through forest height-biomass relation (allometry). Both the height extraction (L-band) and the allometric biomass conversion proved a good performance over dense forest stands. In open forests and stands of variable canopy height (here referred to as heterogeneous stands), the behaviour of the height extracting algorithm is unknown, and height-biomass allometry cannot easily be applied. To facilitate a direct biomass comparison of the Pol-InSAR-height extraction with ground measurements, the effective height heff was introduced as a direct biomass equivalent. Examples from spruce dominated sites of variable stand densities showed a sensitivity of the height extraction to the stand density, though not in correlation with the heff. It might be promising to exploit additional information from the shape of the extracted heights-histogram for an accurate biomass estimation even over dense and heterogeneous forests
  • Keywords
    bioenergy conversion; forestry; interferometry; radar polarimetry; synthetic aperture radar; L-band; Pol-InSAR; RVoG model; Random Volume over Ground-model; SAR data inversion; additional information; allometric biomass conversion; biomass estimation; dense forest stand; direct biomass comparison; extracted heights-histogram shape; forest height-biomass relation; height extracting algorithm; heterogeneous forest terrain; polarimetric SAR interferometry; spruce dominated site; stand density; variable canopy height; Area measurement; Biomass; Data mining; Density measurement; Interferometry; Laser radar; Radar polarimetry; Remote sensing; Shape; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369076
  • Filename
    1369076