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Related Experiment Video

Updated: May 30, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

Local variance for multi-scale analysis in geomorphometry.

Lucian Drăguţ1, Clemens Eisank, Thomas Strasser

  • 1Department of Geography and Geology, University of Salzburg, Hellbrunnerstraße 34, Salzburg 5020, Austria.

Geomorphology (Amsterdam, Netherlands)
|July 23, 2011
PubMed
Summary

The local variance (LV) method effectively identifies characteristic scales in geomorphometry using Digital Elevation Models (DEMs). This approach aids in analyzing land-surface parameters and classifying landforms across different scales.

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Area of Science:

  • Geomorphometry
  • Geospatial Analysis
  • Digital Elevation Model (DEM) analysis

Background:

  • High-resolution Digital Elevation Models (DEMs) present challenges for multi-scale geomorphometric analysis.
  • Detecting characteristic scales in land-surface parameters is crucial for understanding landforms.

Purpose of the Study:

  • To evaluate the local variance (LV) method for multi-scale geomorphometric analysis.
  • To assess the suitability of the LV method for detecting characteristic scales in DEM-derived parameters.
  • To explore the application of the LV method in different topographic settings.

Main Methods:

  • Applied the local variance (LV) method to Digital Elevation Models (DEMs).
  • Calculated LV and rate of change of LV (ROC-LV) across multiple scale levels.
  • Utilized both resampling (cell-based) and image segmentation (object-based) approaches for scale generation.
  • Analyzed slope gradient, plan curvature, and profile curvature.

Main Results:

  • The LV method successfully identified scale levels corresponding to homogeneous land-surface patterns.
  • The method performed better with scale levels generated through image segmentation compared to resampling.
  • Distinct patterns of geomorphometric parameters were observed across different scales.

Conclusions:

  • The local variance (LV) method is suitable for multi-scale geomorphometric analysis and characteristic scale detection.
  • Coupling multi-scale pattern analysis with morphometric primitive delineation is feasible.
  • This approach can contribute to hierarchical landform element classification.