Being the most important determinants of soil quality,soil properties significantly influence land use and ecological processes.Study on spatial variability of soil properties is vital for sustainable land management.Samples of surface soils (0～20 cm) collected from 254 sampling sites all over Hengshan County,on the Loess Plateau were analyzed to study spatial variation of soil nutrients (include soil organic matter (SOM),total nitrogen (TN) and total phosphorus (TP) with land use types and topography.Finally,environment indicators.1 Significant differences were found between different land use types in soil nutrients,with the highest values in SOM and TN measured in soils from paddy field,and the highest value of TP in soils from terrace farm land.ields with slope gradients ranging in 0～3 were significantly higher than fields with higher slope gradient in SOM and TN.And little difference was found in soil nutrients between fields different in slope aspect,but a tendency was discovered that SOM and TN in fields on northern slopes was higher.Different correlations were found of soil nutrients with terrain attributes and remote sensing indices.The multivariate linear stepwise regression model was relatively precise for SOM and TN,but for TP,it was not so good.Such techniques may be applied as a first step in unmapped areas to guide soil sampling and model development.The regression-riging method can effectively reduce residuals in prediction by eliminating smoothing effect.So its predicted values are quite close to the measuresd,demonstrating that the regression-kriging method improves accuracy of prediction.