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one publication added to basket [109735]

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.

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Beschikbaar in	Auteurs
VLIZ: Open Marine Archive 119982 [ download pdf ]
Documenttype: Congresbijdrage

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Trefwoorden

Particulates > Suspended particulate matter Remote sensing Water bodies > Coastal waters ANE, België, Belgische kust [Marine Regions] Marien/Kust

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Project	Top | Auteurs
BELCOLOUR - Optical remote sensing of coastal waters

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Auteurs		Top
Nechad, B. Van den Eynde, D. Fettweis, M. Francken, F.

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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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