Adaptive smoothing of valleys in DEMs using TIN interpolation from ridgeline elevations: An application to morphotectonic aspect analysis

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33 Citations (Scopus)

Abstract

This paper presents a smoothing method that eliminates valleys of various Strahler-order drainage lines from a digital elevation model (DEM), thus enabling the recovery of local and regional trends in a terrain. A novel method for automated extraction of high-density channel network is developed to identify ridgelines defined as the watershed boundaries of channel segments. A DEM using TIN interpolation is calculated based on elevations of digitally extracted ridgelines. This removes first-order watersheds from the DEM. Higher levels of DEM smoothing can be achieved by the application of the method to ridgelines of higher-order channels. The advantage of the proposed smoothing method over traditional smoothing methods of moving kernel, trend and spectral methods is that it does not require pre-definition of smoothing parameters, such as kernel or trend parameters, and thus it follows topography in an adaptive way. Another advantage is that smoothing is controlled by the physical-hydrological properties of the terrain, as opposed to mathematical filters. Level of smoothing depends on ridgeline geometry and density, and the applied user-defined channel order. The method requires digital extraction of a high-density channel and ridgeline network. The advantage of the smoothing method over traditional methods is demonstrated through a case study of the Kali Basin test site in Hungary. The smoothing method is used in this study for aspect generalisation for morphotectonic investigations in a small watershed.

Original languageEnglish
Pages (from-to)573-585
Number of pages13
JournalComputers and Geosciences
Volume33
Issue number4
DOIs
Publication statusPublished - May 1 2007

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Keywords

  • Aspect analysis
  • Digital drainage analysis
  • Digital elevation model
  • Digital terrain modelling
  • Rose diagram
  • Smoothing
  • Tectonic geomorphology

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

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