A geographic standards based metamodel to formalize spatio-temporal knowledge in remote sensing applications

  • Authors:
  • Christelle Pierkot

  • Affiliations:
  • IRD UMR Espace-Dev, Montpellier, France

  • Venue:
  • ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
  • Year:
  • 2012

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Abstract

Technological tools allow the generation of large volumes of data. For example satellite images aid in the study of spatio-temporal phenomena in a range of several disciplines, e.g. environment and health. Thus, remote-sensing experts must handle various and complex image sets for their interpretations. Additionally, the GIS community has heavily worked on describing spatio-temporal features, and standard specifications nowadays provide design foundations for GIS software and spatial databases. We argue that this spatio-temporal knowledge and expertise would provide invaluable support for the field of image interpretation. As a result, we propose a high level conceptual framework, based on existing and standardized approaches, offering enough modularity and adaptability for representing the various dimensions of spatio-temporal knowledge.