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Object representations at multiple scales from digital elevation models.

Lucian Drăguţ1, Clemens Eisank

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

Geomorphology (Amsterdam, Netherlands)
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Understanding scale and object ontology is crucial for translating continuous elevation data into discrete landform classifications. This study explores object representation from Digital Elevation Models (DEMs) and proposes discrete geomorphometry for improved landform analysis.

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Area of Science:

  • Geomorphometry
  • Geomorphology
  • Geographic Information Systems (GIS)

Background:

  • Landform classification and mapping are active areas in geomorphometry.
  • Scale and object ontology are critical but understudied concepts in translating continuous elevation models to discrete landforms.

Purpose of the Study:

  • To provide an overview of object representation from Digital Elevation Models (DEMs) as a function of scale.
  • To explore the relationships between object delineation, classification, and regionalization in geomorphometry.
  • To propose discrete geomorphometry as a novel approach.

Main Methods:

  • Review of scale issues in geomorphometry, including scale effects and optimization techniques.
  • Analysis of the advantages and disadvantages of cell-based versus object-based DEM analysis.
  • Exploration of multi-scale analysis coupled with object delineation.

Main Results:

  • Scale and object ontology significantly influence the translation of continuous elevation data to discrete landforms.
  • Object-based analysis offers potential for improved landform delineation and classification.
  • Discrete geomorphometry, focusing on homogeneity relative to scale, emerges as a viable approach.

Conclusions:

  • Addressing scale and object ontology is essential for advancing landform classification from DEMs.
  • Discrete geomorphometry offers a framework for analyzing land-surface divisions based on scale-relative homogeneity.
  • Further research into multi-scale object-based approaches is warranted for comprehensive geomorphological analysis.