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Total suspended matter maps from CHRIS imagery of a small inland water body in Oostende (Belgium)
Van Mol, B.; Ruddick, K. (2005). Total suspended matter maps from CHRIS imagery of a small inland water body in Oostende (Belgium), in: Lacoste, H. (Ed.) (2005). Proceedings of the 3rd ESA CHRIS/Proba Workshop, 21-23 March 2005, ESRIN, Frascati, Italy. ESA Special Publications, 593: pp. 1-6
In: Lacoste, H. (Ed.) (2005). Proceedings of the 3rd ESA CHRIS/Proba Workshop, 21-23 March 2005, ESRIN, Frascati, Italy. ESA Special Publications, 593. ESTEC: Noordwijk. ISBN 92-9092-904-9. , more
In: ESA Special Publications. ESA Publications Office, more

Available in Authors 
    VLIZ: Open Repository 119266 [ OMA ]
Document type: Conference paper

Keywords
    Inland waters; Remote sensing; ANE, Belgium, Oostende Harbour, Sluice Dock [gazetteer]; Marine; Brackish water

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  • BELCOLOUR - Optical remote sensing of coastal waters, more

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Abstract
    It has been already established that total suspended matter (TSM) can be retrieved from CHRIS imagery for turbid coastal waters, but what about inland waters? Because of the high resolution of CHRIS/PROBA images, inland waters not visible by sensors like SeaWiFS, MERIS and MODIS become detectable and are expected to become a key new application domain for optical remote sensing. In the Oostende test site there is a small (800m-1400m) inland water body with an average depth of 1.5m called the Spuikom. On 6 July 2004, a cloud free CHRIS acquisition of the Oostende test site occurred with simultaneous in situ measurements. The reprocessed dataset is evaluated and analyzed. Data from CHRIS show abnormally high near infrared (NIR) reflectance in the lake, especially near the borders. This does not significantly affect TSM maps but does contaminate the chlorophyll maps deduced from CHRIS imagery. This high NIR reflectance is probably caused by adjacency effects, although the possibility of bottom reflection must also be assessed. In the summer of 2005 a measurement campaign is planned to investigate further the influence of nearby land and bottom reflection in order to provide a benchmark dataset for testing of algorithms to detect and correct for such effects. CHRIS images will be an important component of this dataset.

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