• DocumentCode
    3690642
  • Title

    Analyzing of the influence of atmospheric water vapor content on coefficients determination in the generalized split-window algorithm

  • Author

    Chunlei Wang;Bo-Hui Tang;Hua Wu;Ronglin Tang;Wei Zhao;Zhao-Liang Li

  • Author_Institution
    State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    3119
  • Lastpage
    3122
  • Abstract
    Based on analyzing the influence of atmospheric water vapor content (WVC) on coefficients determination in the generalized split-window (GSW) algorithm, it is found that the coefficients are relatively monotonic variable with the increasing of WVC, which were proposed to determine the coefficients as implicit linear functions. To improve the land surface temperature (LST) retrieval accuracy in the GSW algorithm, the WVC is proposed to determine the coefficients as an explicit parameter in this work. The results show that the proposed method can acquire relatively high accurate LST if WVC is known. The root mean square errors (RMSEs) between the actual LST and those estimated with the proposed method are lower than those retrieved with the coefficients in the GSW algorithm.
  • Keywords
    "Ocean temperature","Land surface temperature","Atmospheric modeling","Sea surface","Land surface","Temperature sensors","Remote sensing"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326477
  • Filename
    7326477