• DocumentCode
    3536971
  • Title

    A study on estimation of aboveground wet biomass based on the microwave vegetation indices

  • Author

    Chai, Linna ; Shi, J. ; Du, J. ; Tao, J. ; Jackson, T. ; Neill, P. E O ; Zhang, L. ; Qu, Y. ; Wang, J.

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., CAS, Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Vegetation biomass is an important parameter in the carbon cycle study. In this paper, a new technique to estimate aboveground vegetation wet biomass based on the Microwave Vegetation Indices (MVIs), which are computed through the observed brightness temperature of AMSR-E/Aqua under two adjacent frequencies, has been developed. The MVIs can provide significant new information compared with the conventional optical vegetation indices since the microwave measurements are sensitive not only to the leafy part of vegetation properties but also to the properties of the overall vegetation canopy where the microwave sensor can ¿see¿ through. We know that the absorption effect of vegetation canopy is mostly controlled by the total wet biomass. In this technique, we first retrieve the single scattering albedo and the optical thickness based on model simulations under AMSR-E configuration. Then, the estimated above two properties are used to derive the absorption fraction of vegetation. Finally, it can be related to the aboveground vegetation wet biomass.
  • Keywords
    radiometry; vegetation mapping; Advanced Microwave Scanning Radiometer for EOS observation; Aqua satellite observation; aboveground wet biomass estimation; absorption effect; absorption fraction; brightness temperature; carbon cycle; microwave measurements; microwave sensor; microwave vegetation indices; optical thickness; optical vegetation indices; single scattering albedo; vegetation canopy; Biomass; Biomedical optical imaging; Brightness temperature; Frequency estimation; Microwave measurements; Microwave sensors; Microwave theory and techniques; Optical scattering; Optical sensors; Vegetation; AMSR-E; microwave vegetation indices; passive microwave; vegetation wet biomass;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417923
  • Filename
    5417923