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Suspended particulate matter mapping from multitemporal SeaWiFS imagery over the southern North Sea - SEBAB project
Nechad, B.; Van den Eynde, D.; Fettweis, M.; Francken, F. (2003). Suspended particulate matter mapping from multitemporal SeaWiFS imagery over the southern North Sea - SEBAB project, in: Smits, P.C. et al. (Ed.) (2004). Analysis Of Multi-Temporal Remote Sensing Images: Proceedings Of The Second International Workshop on the Joint Research Centre Ispra, Italy 16-18 July 2003. pp. 357-367
In: Smits, P.C.; Bruzzone, L. (Ed.) (2004). Analysis Of Multi-Temporal Remote Sensing Images: Proceedings Of The Second International Workshop on the Joint Research Centre Ispra, Italy 16-18 July 2003. World Scientific Publishing: Singapore. ISBN 981-238-915-6. 387 pp., more

Available in Authors 
    VLIZ: Open Repository 119982 [ OMA ]
Document type: Conference paper

Keywords
    Coastal waters; Remote sensing; Suspended particulate matter; ANE, Belgium, Belgian Coast [Marine Regions]; Marine

Project Top | Authors 
  • BELCOLOUR - Optical remote sensing of coastal waters, more

Authors  Top 
  • Nechad, B., more
  • Van den Eynde, D., more
  • Fettweis, M., more
  • Francken, F., more

Abstract
    Suspended particulate matter concentration (SPM) maps at water-surface were retrieved from 172 SeaWiFS images using the MUMM turbid water extension to the SEADAS4.4 software and a regionally calibrated hydro-optical model. Examination of surface-SPM maps and the depth-averaged SPM derived from a 2D-hydrodynamic and sediment transport model over the BCZ shows interesting similarities. The effect of the neap-spring tide cycle on the satellite-derived SPM distribution is compared to the significant impact of this factor on modeled SPM distributions. Classification of the Belgian waters is carried out using the time-series of SeaWiFS-derived SPM maps and is explained in the light of the SPM transport modelling knowledge. This is preliminary step in this project to provide boundary conditions and initial data of SPM distribution to the coupled model.

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