Analysis of spatial variability of soil properties using geostatistics and remote sensing

Soil mapping is one of the basic studies in the natural resource sector. The purpose of this study was to analyze spatial of soil properties on the map of arid areas and deserts. For this purpose, a region with an area of 600 hectares in Qom that considered Salt Lake watershed. Specified methods used include inverse distance methods, radial functions, and prediction local general estimate. Kriging and geostatistical methods used include a variety of types Cokriging. The results show the advantages of using geostatistical methods to determine the mapping of soil for methods of defined the maximum is 9.87 and minimum 1.26 and for methods of kriging the maximum is 9.48 and minimum 1.19 and for methods of Cokriging the maximum is 9.64 and minimum is 1.2. In this parameter has the highest correlation with the desired parameter was considered as a covariate? Landsat ETM + data have also been used as a covariate in the interpolation parameters. The results show that the use of satellite data for mapping soil parameters is increased accuracy. Most accurate method was different for each parameter and evaluated have different for mapping soil properties. In most of surface parameters the best method was geostatistical methods and in silt parameters the best methods was local estimation method. The best way in most deep parameters was geostatistical methods.