Automated mapping of environmental variables from a SEIS or SISE perspective

Edzer Pebesma, Gregoire Dubois, Dan Cornford

Research output: Unpublished contribution to conferenceUnpublished Conference Paperpeer-review

Abstract

The INTAMAP FP6 project has developed an interoperable framework for real-time automatic mapping of critical environmental variables by extending spatial statistical methods and employing open, web-based, data exchange protocols and visualisation tools. This paper will give an overview of the underlying problem, of the project, and discuss which problems it has solved and which open problems seem to be most relevant to deal with next. The interpolation problem that INTAMAP solves is the generic problem of spatial interpolation of environmental variables without user interaction, based on measurements of e.g. PM10, rainfall or gamma dose rate, at arbitrary locations or over a regular grid covering the area of interest. It deals with problems of varying spatial resolution of measurements, the interpolation of averages over larger areas, and with providing information on the interpolation error to the end-user. In addition, monitoring network optimisation is addressed in a non-automatic context.
Original languageEnglish
Pages104-114
Number of pages11
Publication statusPublished - 2009
EventTowards Environment (Challenges of SEIS and SISE: Integrating Environmental Knowledge in Europe) - Prague (CZ)
Duration: 25 Mar 200927 Mar 2009

Conference

ConferenceTowards Environment (Challenges of SEIS and SISE: Integrating Environmental Knowledge in Europe)
CityPrague (CZ)
Period25/03/0927/03/09

Bibliographical note

The copyright of all papers is an exclusive right of the authors. No work can be reproduced without written permission of the authors. Hrebícek, Jirí; Hradec, Jirí; Pelikán, Emil; Mirovský, Ondrej; Pillmann, Werner; Holoubek, Ivan; Bandholtz, Thomas (eds). Proceedings of the European conference Towards Eenvironment (Opportunities of SEIS and SISE: Integrating Environmental Knowledge in Europe). Masaryk University. ISBN 978-8021048249.

Keywords

  • environmental data
  • environmental information
  • in-situ sensors
  • spatial interpolation
  • geostatistics
  • OGC
  • SOA

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