• DocumentCode
    3596043
  • Title

    Assimilation of satellite-derived land cover into a process-based terrestrial biosphere model

  • Author

    Beer, Christian ; Skinner, Laine ; Lucht, Wolfgang ; Schmullius, Christiane

  • Author_Institution
    Inst. of Geogr., Friedrich-Schiller-Univ., Jena, Germany
  • Volume
    5
  • fYear
    2003
  • fDate
    6/25/1905 12:00:00 AM
  • Firstpage
    3181
  • Abstract
    Besides so-called light use efficiency models (which, very generally, account for effects of temperature and water stress upon plant productivity), satellite-derived information may be applied to adjust Dynamic Global Vegetation Models (DGVMs). This paper attempts to assimilate satellite-derived land cover (GLC2000) into a state-of-the-art DGVM (LPJ-DGVM) and examine the impact on estimated carbon stocks. The offset between land cover information and potential fractional vegetation cover is calculated by the model and then used to adjust plant productivity. Increasing the information content of current satellite-derived land cover products would lead to more reliable estimates of parameters of the terrestrial component of the global carbon cycle.
  • Keywords
    geographic information systems; geophysical signal processing; vegetation mapping; carbon stocks; dynamic global vegetation models; global carbon cycle; plant productivity; potential fractional vegetation; process-based terrestrial biosphere model; satellite-derived information; satellite-derived land cover assimilation; terrestrial component; water stress; Atmospheric modeling; Biosphere; Ecosystems; Geography; Land surface temperature; Predictive models; Productivity; State estimation; Stress; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294722
  • Filename
    1294722