Web-base experimental variogram model for estimate coastal topography using Google Web Toolkit

Cheng Tsen Lai*, Sung Shan Hsiao, Tian-Yuan Shih

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages2258-2263
Number of pages6
StatePublished - 1 Dec 2011
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
Duration: 3 Oct 20117 Oct 2011

Publication series

Name32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Volume4

Conference

Conference32nd Asian Conference on Remote Sensing 2011, ACRS 2011
CountryTaiwan
CityTapei
Period3/10/117/10/11

Keywords

  • Google Web Toolkit
  • Kriging
  • Topographic survey
  • Variogram

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