• DocumentCode
    126328
  • Title

    Microwave vegetation indices and the application for vegetation optical depth retrieval using WindSat data

  • Author

    Yunqing Li ; Jiancheng Shi

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The vegetation optical depth, which describes vegetation attenuation properties, is a key factor for estimating soil moisture and some vegetation parameters such as vegetation water content and biomass. Vegetation indices are effective tools for retrieving vegetation optical depth. In this study, we have used a new type of microwave vegetation indices(MVIs) based on WindSat data and deduced the theoretical relationship between MVIs and effective vegetation optical depth. The optical depth had a coherent global pattern with NDVI.
  • Keywords
    geophysical signal processing; moisture; soil; vegetation mapping; MVI; WindSat data; microwave vegetation index; soil moisture; vegetation attenuation; vegetation optical depth retrieval; vegetation water content; Biomedical optical imaging; Microwave theory and techniques; Optical polarization; Optical scattering; Optical sensors; Vegetation; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929694
  • Filename
    6929694