A TOPOLOGICAL FRAMEWORK FOR THE TEMPORAL ASPECTS OF LANDFORM DEVELOPMENT
Natural landforms are of great importance for a variety of scientific and engineering disciplines. Investigation of landforms can be improved by comparison of features that have similar characteristics, structure and genesis. We propose a novel framework for the representation of the temporal aspect...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-09-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-2-W1/237/2013/isprsannals-II-2-W1-237-2013.pdf |
| Summary: | Natural landforms are of great importance for a variety of scientific and engineering disciplines. Investigation of landforms can be
improved by comparison of features that have similar characteristics, structure and genesis. We propose a novel framework for the
representation of the temporal aspects of landform development that simplifies the complex spatial relationships between 3D objects
and the modelling of geological processes over time (4D) applying the Poincaré Duality. Single landform layers are represented as
nodes (<i>DualStructures</i>) and the neighbourhood of these layers are represented as edges (<i>DualStructureRelations</i>). Finally, a
<i>DualStructureState</i> represents a whole landform of stable conditions over a period of time. Change of a landform is represented as
additional edges (<i>Abstract_GeoProcess</i>) between the nodes of different layers. The overall structure constitutes a multilayer graph,
where all the nodes from all N layers are included but are separated into N partitions of time. All dual representations may be
associated with geometric and semantic representations, if available. A formal data model on natural landforms focusing on
topological representation is a major step towards the interoperable exchange and comparison of scientific results on landforms.
Concerning existing models, our framework can be considered as a superset with regard to model expressivity. This will improve the
possibilities to exchange or link data between different application fields. |
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| ISSN: | 2194-9042 2194-9050 |