• DocumentCode
    2211211
  • Title

    Spatial Heterogeneity Analysis of Soil Moisture Based on Geostatistics

  • Author

    Song xiaoning ; Zhou Xia ; Li Xiaotao ; Li Xinhui

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    5134
  • Lastpage
    5137
  • Abstract
    This paper is around the monitoring of soil moisture and the scale effect of the relevant research issues in arid / semi-arid areas. First of all, the surface temperature and vegetation index are inversed quantitatively using remote sensing data, and according to the distribution of vegetation index - surface temperature feature space, the soil moisture index is extracted. Then the regional soil moisture spatial heterogeneity characteristics are analyzed by means of geostatistics. Moreover, the best spatial resolution is determined for the study of soil moisture in this area. The study adopted a more effective understanding of regional scale soil moisture conditions, with a certain degree of scientific significance and practical significance.
  • Keywords
    hydrology; remote sensing; soil; statistical analysis; arid areas; geostatistics; remote sensing data; semi-arid areas; soil moisture; spatial heterogeneity analysis; spatial resolution; surface temperature; vegetation index; Data mining; Educational institutions; Information analysis; Information science; Remote monitoring; Remote sensing; Soil moisture; Temperature distribution; Temperature sensors; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1082
  • Filename
    5454665