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Higher trophic levels in the Southern North Sea
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A GIS-based hydrographic resurvey strategy of the Belgian Continental Shelf
Bos, N.; Dumon, G.; Verstraeten, J.; Claeys, F.; Waûters, F.; Eggermont, G. (2013). A GIS-based hydrographic resurvey strategy of the Belgian Continental Shelf, in: Van Lancker, V. et al. (Ed.) MARID 2013: Fourth International Conference on Marine and River Dune Dynamics. Bruges, Belgium, 15-17 April 2013. VLIZ Special Publication, 65: pp. 59-64
In: Van Lancker, V.; Garlan, T. (Ed.) (2013). MARID 2013: Fourth International Conference on Marine and River Dune Dynamics. Bruges, Belgium, 15-17 April 2013. VLIZ Special Publication, 65. Royal Belgian Institute of Natural Sciences/SHOM/Flanders Marine Institute (VLIZ): Oostende. ISBN 978-2-11-128352-7. 338 pp.
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950

Beschikbaar in  Auteurs 

Trefwoorden
    Information systems > GIS
    Surveys > Hydrographic surveys > Bathymetric surveys
    ANE, België, Belgisch Continentaal Plat (BCP) [Marine Regions]
    Marien/Kust

Auteurs  Top 
  • Bos, N.
  • Dumon, G.
  • Verstraeten, J.
  • Claeys, F.
  • Waûters, F.
  • Eggermont, G.

Abstract
    Using a GIS-based approach, bathymetric surveys and maritime traffic records were combined to determine resurvey priorities within the Belgian Continental Shelf (BCS). Four reference layers were produced: (1) water depth; (2) maximum absolute change in water depth; (3) ship traffic intensity; (4) maximum ship draught. The reference layers were reclassified and merged into a weighted overlay analysis. Two combinations of layers and weight factors were used and resulted in priority maps differing greatly from each other. The reliability of the analysis depends on the way weight factors are assigned, and on the availability and accuracy of the data. These are limited for bathymetric surveys. This empirical GIS-based methodology can be applied as a whole to a zone showing various morphodynamic patterns. It can also be automated: additional datasets can be included in the analysis, and different scenarios and assumptions can be easily tested.

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