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ISPRS Int. J. Geo-Inf. 2017, 6(1), 12; doi:10.3390/ijgi6010012

Towards a Common Framework for the Identification of Landforms on Terrain Models

Department of Geomatics Sciences, Université Laval, Québec, QC G1V 0A6, Canada
Department of Computing and Software Engineering, Université Laval, Québec, QC G1V 0A6, Canada
Author to whom correspondence should be addressed.
Academic Editors: E. Lynn Usery, Dalia Varanka and Wolfgang Kainz
Received: 1 October 2016 / Revised: 22 December 2016 / Accepted: 2 January 2017 / Published: 12 January 2017
(This article belongs to the Special Issue Geospatial Semantics and Semantic Web)
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A landform is a physical feature of the terrain with its own recognisable shape. Its definition is often qualitative and inherently vague. Hence, landforms are difficult to formalise in a logical model that can be implemented. We propose for that purpose a framework where these qualitative and vague definitions are transformed successively during different phases to yield an implementable data structure. Our main consideration is that landforms are characterised by salient elements as perceived by users. Hence, a common prototype based on an object-oriented approach is defined that shall apply to all landforms. This framework shall facilitate the definition of conceptual models for other landforms and relies on the use of ontology design patterns to express common elements and structures. The model is illustrated on examples from the literature, showing that existing works undertaken separately can be developed under a common framework. View Full-Text
Keywords: landforms; ontology design pattern; surface network; digital terrain model landforms; ontology design pattern; surface network; digital terrain model

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Guilbert, E.; Moulin, B. Towards a Common Framework for the Identification of Landforms on Terrain Models. ISPRS Int. J. Geo-Inf. 2017, 6, 12.

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