Bio-physical characterization of indicators of sediment stability in mudflats using remote sensing (CISS)
Adam, S.; De Backer, A.; Degraer, S.; Monbaliu, J.; Toorman, E.; Vincx, M. (2007). Bio-physical characterization of indicators of sediment stability in mudflats using remote sensing (CISS), in: Proceedings 5th EARSeL Workshop on Imaging Spectroscopy. Bruges, Belgium, April 23-25 2007. pp. 2 pp
In: (2007). Proceedings 5th EARSeL Workshop on Imaging Spectroscopy. Bruges, Belgium, April 23-25 2007. EARSeL: Brugge. , meer
Stability in mudflats using Remote Sensing’ 2005-2008), which is financed by the Research Foundation - Flanders (FWO), the Hydraulics Laboratory of the KULeuven and the Marine Biology Section of the University of Ghent are collaborating to investigate the influence of sediment properties on erodibility and on spectral properties. The interpretation of hyperspectral remotely sensed images over mudflats is only possible if the appropriate bio-geophysical models for information extraction are available. The main objectives of the CISS-project are therefore the quantitative assessment of bio-geophysical characteristics of the surface sediments in the intertidal zone using remote sensing and the determination of the erodibility of these sediments based on their bio-geophysical characteristics. This paper will only discuss the first objective of the CISS project. The methodology which will be followed in the CISS project will consist of (i) laboratory spectral measurements and the development of a mathematical modelling procedure to extract biogeophysical sediment properties from a remotely sensed signal, and 2) application of the developed models on in situ spectral measurements and hyperspectral imagery. Spectral absorption features of clay and water look promising for their quantification in sediment mixtures. In laboratory conditions, correlation coefficients (r2) of 0.98 and of 0.95 were found between the scaled band area of absorption features and clay and water content respectively. Future work will focus on the use of feature selection combined with linear and non-linear classification methods and on bidirectional effects of intertidal sediment.
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