Evaluation of the influence of surface modeling parameters on the accuracy of digital elevation models

Kumetaitienė, Aušra; Kumetaitis, Algirdas

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/138642

Evaluation of the influence of surface modeling parameters on the accuracy of digital elevation models

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

Author(s)

Author	Affiliation
Kumetaitienė, Aušra	Geodezijos ir kadastro katedra / Department of Geodesy and Cadastre (0323)
Kumetaitis, Algirdas	Geodezijos ir kadastro katedra / Department of Geodesy and Cadastre (0323)

Title

Evaluation of the influence of surface modeling parameters on the accuracy of digital elevation models

[en]

Ausra Kumetaitiene, Algirdas Kumetaitis

Is part of

Environmental Engineering. 6th International Conference, May 26-27, Vilnius, Lithuania[elektroninis išteklius] : proceedings [CD]

Published In

Year	Start Page	End Page
2005	1	6

Publisher

Vilnius : Technika, 2005

Extent

p. 1-6

URI

URI
https://hdl.handle.net/20.500.14911/138642

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Matavimų inžinerija / Measurement engineering (T010)

Abstract (en)

The article deals with the analysis of the influence of the parameters of elevation modeling on to the accuracy of the compiled DEM. The research has been carried out regarding the management of the elevation modeling process using multi criteria analysis model, for selecting the parameters and for determining the weight. By using different methods there have been compiled DEMs as well as the DEMS have been compared in between afterwards. The influence of the parameters on to the accuracy of DEM applying the method of kriging for surface modeling has been evaluated. It has been determined that the greatest influence has exhibited the semivariogram type. The less significant turned to be the number of neighboring points, nugget and trend. By using circular semivariogram in calculations there has been obtained the most precise elevation model. The most accurate result has been obtained by using 12 neighboring points to find out the unknown height values.