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Sand dynamics along the Belgian coast based on airborne hyperspectral data and lidar data
Deronde, B.; Houthuys, R.; Sterckx, S.; Fransaer, D. (2005). Sand dynamics along the Belgian coast based on airborne hyperspectral data and lidar data, in: (2005). VLIZ Coll. Rep. 33-34(2003-2004). VLIZ Collected Reprints: Marine and Coastal Research in Flanders, 33-34: pp. chapter 71
In: (2005). VLIZ Coll. Rep. 33-34(2003-2004). VLIZ Collected Reprints: Marine and Coastal Research in Flanders, 33-34. Flanders Marine Institute (VLIZ): Oostende, more
In: VLIZ Collected Reprints: Marine and Coastal Research in Flanders. Vlaams Instituut voor de Zee: Oostende. ISSN 1376-3822, more

Also published as
  • Deronde, B.; Houthuys, R.; Sterckx, S.; Fransaer, D. (2004). Sand dynamics along the Belgian coast based on airborne hyperspectral data and lidar data. EARSeL eProc. 3(1): 26-33, more

Available in Authors 
    VLIZ: Open Repository 98651 [ OMA ]
Document type: Project report

Keywords
    Airborne sensing; Data; Dynamics; Sand; ANE, Belgium, Belgian Coast [Marine Regions]; Marine

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Abstract
    The goal of this project was to explore the possibilities of airborne hyperspectral data and airborne lidar data to study sand dynamics on the Belgian backshore and foreshore. The Belgian coast is formed by a sandy strip at the southern edge of the North Sea Basin which is commonly known as the Southern Bight. Since the beach is prone to structural and occasional erosion, it is very important to obtain a better understanding of the processes controlling it. The combination of multi-temporal hyperspectral data and lidar data provides a suitable tool for follow-up of the Belgian coastline, and sandy coastlines in general. Hyperspectral imagery generates a reflectance spectrum for each pixel in the image. The shape of this spectrum is influenced by the composition of the topsoil of the beach, being mainly the mineralogical composition and the grain size. A Spectral Angle Mapper (SAM) algorithm was used to perform a supervised classification of the hyperspectral images in order to distinguish between different sand types. Digital terrain models (DTM’s) with a mean vertical accuracy of 5 cm were generated from lidar data. By differencing a DTM from September 2000 and one from September 2001 a map with sedimentation and erosion zones was generated. By combining the erosion/sedimentation map with the classified hyperspectral images, dating from August 2000 and August 2001, an appropriate and cost-effective method was found for studying the processes of sand transport along the Belgian coastline.

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