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A Salience-Based Framework for Terrain Modelling: From the Surface Network to Topo-Contexts

Authors Éric Guilbert , Bernard Moulin

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Author Details

Éric Guilbert
  • Département des sciences géomatiques, Université Laval, Québec, Canada
Bernard Moulin
  • Département d'informatique et de génie logiciel, Université Laval, Québec, Canada

Funding

  • Guilbert, Éric: NSERC Discovery grant 2022-03885.

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Éric Guilbert and Bernard Moulin. A Salience-Based Framework for Terrain Modelling: From the Surface Network to Topo-Contexts. In 16th International Conference on Spatial Information Theory (COSIT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 315, pp. 2:1-2:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.COSIT.2024.2

Abstract

Twenty years after Mark and Smith’s seminal paper, a Science of Topography, we revisit some of their fundamental questions about how landforms are recognised by people and how they can be automatically extracted or delimited from representations of topographic surfaces. Many approaches and tools, essentially based on GeoOBIA, can extract objects associated with landforms from image data. But, they cannot relate these objects to the topology and topography of the terrain. Yet, geo-scientists can easily recognise landforms, considering terrain characteristics and other factors composing the context of appearance of those landforms. Revisiting Gestalt Theory, we propose a salience-based approach fostering a holistic view of the terrain which fits with the geoscientists' ability to recognise landforms using the topographic and hydrologic contexts. The terrain is represented as an extended surface network (ESN), a graph composed of elementary saliences (peaks, pits, saddles, thalweg and ridge networks) and obtained from raster data. The ESN combines both the surface and the drainage networks in a sound topological representation of the terrain. A skeletonisation technique of the ESN’s thalweg and ridge networks is proposed to geometrically and topologically characterise landforms, as well as ensembles of landforms. On this basis and to represent the context of appearance of landforms, geo/topo-contexts are introduced as structures grounded in the properties of the ESN and using the skeletonisation technique. We give an illustration of how a geomorphologist can apply our approach and tools, using the depressions and drainage basins as examples of useful geo/topo-contexts.

Subject Classification

ACM Subject Classification
  • Information systems → Geographic information systems
Keywords
  • DTM
  • surface network
  • landform
  • topographic context
  • saliences

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