• DocumentCode
    3300734
  • Title

    Evaluation of vegetation indices based on microwave data by simulation and measurements

  • Author

    Li, Yunqing ; Zhang, Lixin ; Jiang, Lingmei ; Zhang, Zhongjun ; Zhao, Tianjie

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3311
  • Lastpage
    3314
  • Abstract
    As an indicator of vegetation, vegetation index, such as Microwave Polarization Difference Temperatures (MPDT), Microwave Polarization Difference Index (MPDI) and Microwave Vegetation Indices (MVIs), is widely used in vegetation water content (VWC) and soil moisture retrieval. In this essay, Ferrazzoli´s radiative transfer model was utilized for simulation, and a truck-mounted Microwave Radiometer (BNU-TMMR) for experiments. Subsequently, there comes a comparison and evaluation of the three vegetation indices´ sensitivity to soil moisture and VWC which were proposed by both utilizing model simulation and field measurements. MPDT and MPDI increase with soil moisture rising up, and are more sensitive to lower soil moisture, while the trend of MVIs_B is smooth. In term of VWC influence, MVIs_B has higher sensitivity to lower VWC vegetation, and they are all negatively correlated to VWC.
  • Keywords
    hydrology; microwave measurement; radiative transfer; soil; vegetation; vegetation mapping; BNU-TMMR; Ferrazzoli radiative transfer model; MPDI; MPDT; MVI; microwave measurement; microwave polarization difference index; microwave polarization difference temperatures; microwave vegetation indices; soil moisture retrieval; truck-mounted microwave radiometer; vegetation index; vegetation water content; Microwave radiometry; Microwave theory and techniques; Soil measurements; Soil moisture; Vegetation; Vegetation mapping; Vegetation Indices; radiative transfer model; track-monted microwave radiometer experiments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649579
  • Filename
    5649579