• DocumentCode
    3690040
  • Title

    Comparison and analysis of soil moisture retrieval model from CBERS-02B satellite imagery

  • Author

    Guoqing Zhou;Yue Sun;Linjun Jiang;Na Liu;Chenyang Li;Mingyan Li;Tao Yue

  • Author_Institution
    Guangxi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology Guilin, Guangxi, 541004, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    677
  • Lastpage
    680
  • Abstract
    Retrievals of surface soil moisture (SSM) from remotely sensed satellites have become important in agriculture, meteorology. However, any models have been presented for different satellite imagery, which are complex with data processing cumbersome and inconvenient. This paper introduces the one model of CBERS-02B and two models of Landsat TM image. Comparing and analyzing the accuracy of the models from CBERS-02B satellite imagery. The results showed that the overall accuracy of SSM from CBERS-02B´s average soil moisture content reached 91.26%. It is higher than the accuracy of the other models of Landsat TM. These results demonstrate that the model can effectively calculate the SSMs for CBERS-02B satellite imagery.
  • Keywords
    "Satellites","Remote sensing","Earth","Biological system modeling","Soil moisture","Charge coupled devices","Accuracy"
  • 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.2015.7325854
  • Filename
    7325854