• DocumentCode
    1991044
  • Title

    Spatial Variability of Surface Soil Moisture in Semi-arid Region of Northern China

  • Author

    Chen Jiongfeng ; Zhang Wanchang

  • Author_Institution
    Int. Inst. for Earth Syst. Sci. (ESSI), Nanjing Univ., Nanjing
  • Volume
    2
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    In this study, the spatial pattern and correlation of surface moisture content over the Jinghe River Basin, was investigated by using in-situ measurements and remotely sensed data. First of all, the spatial pattern of the soil moisture content was retrieved from the MODIS imagery based on a statistical relationship between the Temperature Vegetation Dryness Index (TVDI) and in-situ soil moisture measurements over the basin, then the geo-statistic analysis methods and semi-variogram function were applied on the derived soil moisture for investigating the spatial correlations of soil moisture content. It was found that the magnitude of the field measured soil moisture content was correlated with the adjacent pixels especially for the samples from the same land use type. The correlation length, which is increasing with the topographical attribute, can be detected and validated from the statistical characteristics of in-situ soil moisture measurements and remotely sensed data.
  • Keywords
    image processing; moisture measurement; remote sensing; soil; vegetation; vegetation mapping; Jinghe River Basin; MODIS imagery; Northern China; geostatistic analysis methods; semiarid region; semivariogram function; surface soil moisture; temperature vegetation dryness index; Content based retrieval; Image retrieval; MODIS; Moisture measurement; Rivers; Soil measurements; Soil moisture; Surface soil; Surface topography; Temperature distribution; SAR; land use; semi-arid region; soil moisture; spatial variability; theJinghe river basin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.67
  • Filename
    5070379