Multi-Scale DEM Generalization Processing in Different Landform Areas

Article Preview

Abstract:

As a special kind of image, the grid-based digital elevation model (DEM) is directly related with the landform and topography feature. In the real word, there are various landforms, and the results of different methods for DEM processing vary greatly. However, the discussion of using different methods in different landform areas in DEM generalization is needed. Numerous methods have been proposed previously for DEM generalization without taking topographic factors into consideration, and the setting of threshold value of most algorithms is very subjective. Therefore, we investigate the DEM generalization, using two methods (z-tolerance method and compound method) in different landform areas and propose a new way for threshold values setting in generalization. The results show that the method we proposed is feasible and the compound method offers a better performance over z-tolerance method in most conditions, especially when comparing their performances of keeping streamline shape.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

2264-2269

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhou, Q., Chen, Y., 2011. Generalization of DEM for terrain analysis using a compound method. ISPRS Journal of Photogrammetry and Remote Sensing 66(1), 38-45.

DOI: 10.1016/j.isprsjprs.2010.08.005

Google Scholar

[2] Comparison of drainage-constrained methods for DEM generalization

Google Scholar

[3] Lee, J., 1991. Comparison of existing methods for building triangular irregular network models of terrain from grid digital elevation models. International Journal of Geographical Information Systems 5(3), 267-285.

DOI: 10.1080/02693799108927855

Google Scholar

[4] Heckbert, P.S., Garland, M., 1997. Survey of polygonal surface simplification algorithms. Technical Report. School of Computer Science, Carnegie Mellon University, Pittsburgh.

Google Scholar

[5] Heller, M., 1990. Triangulation algorithms for adaptive terrain modeling In: Proc. 4th International Symposium on Spatial Data Handling, Vol. 1, Zürich, pp.163-174.

Google Scholar

[6] Chang, K., 2007. Introduction to Geographic Information System, 4th ed. McGraw-Hill, New York 450pp.

Google Scholar

[7] Kienzle, S., 2004. The Effect of DEM Raster Resolution on First Order, Second Order and Compound Terrain Derivatives. Transactions in GIS 8(1), 83-111.

DOI: 10.1111/j.1467-9671.2004.00169.x

Google Scholar

[8] Wolock, D.M., Price, C.V., 1994. Effect of digital elevation model and map scale and data resolution on a topography-based watershed model. Water Resources Research 30(11), 3041-3052/

DOI: 10.1029/94wr01971

Google Scholar

[9] Li, Z., 2008. Multi-scale digital terrain modeling and analysis. In: Zhou, Q., Lees, B., Tang, G. (Eds). Advance in Digital Terrain Analysis. Spring, Berlin, pp.59-83.

Google Scholar