• DocumentCode
    2881390
  • Title

    Spatial Variability of Soil Salinity for Tidal Flat by Geostatistics and 3S Technology

  • Author

    Xia Lu ; Fucheng Liu

  • Author_Institution
    Sch. of Geodesy & Geomatics Eng., Huaihai Inst. of Technol., Lianyungang, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Agriculture in tidal flat develops slow very much. One of the important reason is that the soil salinity is very higher. The region which covered typical salt marsh vegetation was chosen as subject investigated. The spatial variability of soil salinity by using geostatistics, RS, GPS, and GIS technology was analyzed. The research result was indicated that there was not distinguished data among all the soil salinity, the data which was converted to logarithm format would follow normal distribution. Therefore, stable variation function was got by ordinary Kriging interpolation method. The soil salinity was mainly subject to structural factors and had very strong spatial autocorrelation. It decreased gradually from north to south.
  • Keywords
    geochemistry; geographic information systems; remote sensing; soil; vegetation; GIS technology; GPS technology; RS technology; geostatistics; logarithm format; ordinary Kriging interpolation method; soil salinity; stable variation function; tidal flat; typical salt marsh vegetation; Agriculture; Biological system modeling; Correlation; Educational institutions; Gaussian distribution; Interpolation; Soil;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260729
  • Filename
    6260729