• DocumentCode
    297740
  • Title

    Carbon dynamics in northern forests using SIR-C/X-SAR imagery

  • Author

    Bergen, Kathleen M. ; Dobson, M. Craig ; Pierce, Leland E.

  • Author_Institution
    Radiation Lab., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    580
  • Abstract
    A key large-scale question in ecology is the amount of carbon stored in terrestrial vegetation. The need to determine this over large regions is most efficiently met by remote sensing programs and is currently being tested using SIR-C/X-SAR imagery at the NASA Michigan Forests supersite. There are three goals in the present study. The first is to estimate carbon stored in living vegetation at the site. The second is to measure changes in carbon balance related to forest disturbance (clearcutting and thinning). The third is to determine carbon gain from annual growth (NPP). Biomass has been mapped in the image domain, and by applying an allometric relationship, results show that 12.82×109 kg of carbon are stored in the portion of the test site represented in the imagery. Clearcuts which were made between SRL-1 and SRL-2 have been extracted from the classified imagery and this analysis shows an estimated 300 ha of forest or 6.02×10 6 kg of carbon were removed. Ground data have been analyzed for annual growth; SIR-C/X-SAR images are currently being processed to demonstrate the sensor´s sensitivity to this parameter
  • Keywords
    forestry; geophysical techniques; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; C dynamics; NASA Michigan Forests supersite; SAR; SHF; SIR-C; USA; United States; X-SAR imagery; X-band; annual growth; biomass; boreal forest; disturbance; forestry; geophysical measurement technique; microwave radar; northern forest; radar imaging; radar remote sensing; spaceborne radar; vegetation mapping; Biomass; Data analysis; Data mining; Environmental factors; Image analysis; Large-scale systems; NASA; Remote sensing; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516409
  • Filename
    516409