• DocumentCode
    3068970
  • Title

    The remote sensing quantitative monitoring of soil moisture in the upstream of minjiang valley

  • Author

    Yuxia Li ; Wunian Yang ; Lei He ; Ling Tong ; Jiancheng Shi

  • Author_Institution
    Sch. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3734
  • Lastpage
    3737
  • Abstract
    The paper studied the model relation of soil moisture and spectral index by using the data field measured spectral reflectance and soil moisture, and analyzed the correlation between the soil moisture and spectral index. Furthermore, based on analyzing the data measured, the research selected the sensitive band and built the optimal inversion model. The soil moisture of the studied area (Maoergai area of Minjiang upriver) was inversed, and then the inversed results were analyzed and evaluated. By analyzing the different inversed results accuracy, the research obtained the optimal method of soil moisture inversion for ecological water information index remote sensing quantitative model.
  • Keywords
    ecology; environmental monitoring (geophysics); hydrology; inverse problems; moisture; remote sensing; soil; spectral analysis; China; Maoergai area; Minjiang upriver; Minjiang valley; data analysis; data field measured spectral reflectance; ecological water information index remote sensing quantitative model; optimal inversion model; remote sensing quantitative monitoring; sensitive band; soil moisture inversion; spectral index; Abstracts; Area measurement; Educational institutions; Market research; Moisture; Moisture measurement; Soil; Quantitative Inversion; Remote Sensing; Soil moisture; Spectral Index; Spectral Reflectance;
  • 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.2013.6723642
  • Filename
    6723642