• DocumentCode
    3069065
  • Title

    Soil moisture monitoring based on HJ-1C S-band SAR image and experimental data

  • Author

    Lei He ; Ling Tong ; Yan Chen ; Mingquan Jia ; Jiancheng Shi

  • Author_Institution
    Sch. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3754
  • Lastpage
    3757
  • Abstract
    The paper proposed a soil moisture retrieval model with S-band field experimental data and volumetric water content measured in field. Focused on the problem that antenna irradiated region may not meet the minimum radar resolution pixel, the research applied the multiple independent samples measuring method and analyzed the relevance between soil moisture and backscattering coefficient of S-band VV polarization. The inversion equation obtained was applied to inverse soil moisture from SAR (Synthetic Aperture Radar) S-band images of HJ-1C (a satellite designed for environment and disaster monitoring). The inversion results were verified by the multiple independent samples data measured and agreed well with the experimental data, which shows the S-band VV polarization data can be used to monitor the soil moisture in a large scale.
  • Keywords
    backscatter; remote sensing by radar; soil; synthetic aperture radar; HJ-1C S-band SAR image; Synthetic Aperture Radar; antenna irradiated region; backscattering coefficient; soil moisture monitoring; volumetric water content; Abstracts; Accuracy; Equations; L-band; Mathematical model; Moisture; Sun; Backscattering coefficient; HJ-1C; Inversion model; S-band; Soil moisture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723647
  • Filename
    6723647