• DocumentCode
    3059632
  • Title

    Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes

  • Author

    Houborg, Rasmus ; Cescatti, Alessandro ; Gitelson, Anatoly

  • Author_Institution
    King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2129
  • Lastpage
    2132
  • Abstract
    In terrestrial biosphere models, key biochemical controls on carbon uptake by vegetation canopies are typically assigned fixed literature-based values for broad categories of vegetation types although in reality significant spatial and temporal variability exists. Satellite remote sensing can support modeling efforts by offering distributed information on important land surface characteristics, which would be very difficult to obtain otherwise. This study investigates the utility of satellite based retrievals of leaf chlorophyll for estimating leaf photosynthetic capacity and for constraining model simulations of water and carbon fluxes.
  • Keywords
    carbon; geochemistry; photosynthesis; remote sensing; soil; vegetation mapping; carbon flux; constraining model simulations; distributed information; fixed literature-based values; key biochemical controls; land surface characteristics; land surface models; leaf chlorophyll satellite based retrievals; leaf photosynthetic capacity estimation; satellite remote sensing; satellite retrieved leaf chlorophyll integration; spatial temporal; spatial variability; terrestrial biosphere models; vegetation canopy carbon uptake; vegetation type broad categories; water flux; Atmospheric modeling; Biological system modeling; Carbon; Earth; Mathematical model; Remote sensing; Satellites; CLM; GPP; Landsat; leaf chlorophyll;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723234
  • Filename
    6723234