• DocumentCode
    2851342
  • Title

    Evaluation of the Amazon Rain Forrest as a Distributed Target for Satellite Microwave Radiometer Calibration

  • Author

    Patel, Nishant ; Hong, Liang ; Jones, W. Linwood ; Vasudevan, Santhosh

  • Author_Institution
    ECE Dept., Univ. of Central Florida, Orlando, FL
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    For decades, the task to precisely calibrate the satellite microwave radiometer is challenging. The evaluation of the absolute calibration of the TMI brightness temperatures is an extremely formidable task due to the difficulty in obtaining an accurate standard with which to compare the TMI. The proposed research will investigate the Amazon rain forest area as a distributed target for the Satellite Microwave radiometer calibration. History shows us that homogeneity exist in the Amazon Basin so it is useful for the satellite radiometer calibration. There are two principal goals of this research, namely; (1) to measure the brightness temperature (Tb) over the entire Amazon rain forest region to see how it varies over the wide range of forest, (2) to calculate the emissivity for that entire region using the Land surface temperature data from the MODIS sensor from two different satellite TERRA and AQUA.
  • Keywords
    calibration; geophysical equipment; land surface temperature; radiometers; remote sensing; vegetation; AQUA satellite; Amazon Basin; Amazon rain forrest; MODIS sensor; Moderate Resolution Imaging Spectroradiometer; TERRA satellite; TMI; TRMM Microwave Imager; Tropical Rainfall Mapping Mission; brightness temperature measurement; distributed target; land surface temperature data; satellite microwave radiometer calibration; Brightness temperature; Calibration; History; Land surface; Land surface temperature; Microwave radiometry; Rain; Satellite broadcasting; Temperature measurement; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.27
  • Filename
    4241174