By now, the Kriging method is widely accepted to estimate the nearshore topography. And the underlying hypotheses of Kriging method are second order stationary and weaker intrinsic hypothesis to define the variogram and spatial covariance. The experimental variogram is a basic tool to find a fitness common variogram models to calculate the variance of a linear combination of regionalized variables. Because of the coastal topography were affect by naturally force in long-terms. So it should contents a spatial covariance between the terrain elevations. But how to get a fitness common variogram model for Kriging estimating is an abstruse work for surveyor and need a lot of history data for study of the local area. In this study we built a web online Kriging processing service with Google Web Toolkit (GWT) and Java 2 Platform Enterprise Edition (J2EE) using Java language. After upload the terrain elevations to the server and implement the experimental variogram analysis with try-error to find a fitness common variogram modal then utilize the Kriging estimating process to get the DEM (Digital Elevation Model). When get enough history data sets we will create a variogram model database depend on the location for suggest the fitness variogram model.