| one publication added to basket [218576] | Effect of spatial resolution on intertidal sediment characterization
Ibrahim, E.; Govaerts, A.; Regmi, P.; Druyts, J.; van der Wal, D.; Adam, S.; Vervoort, A.; Monbaliu, J.; De Wever, A.; Sabbe, K.; Forster, R. (2009). Effect of spatial resolution on intertidal sediment characterization, in: 29th Annual EARSeL Symposium. Imagin(e/g) Europe, 15-18 June, 2009, Chania, Greece. pp. 8 pp
In: (2009). 29th Annual EARSeL Symposium. Imagin(e/g) Europe, 15-18 June, 2009, Chania, Greece. EARSeL: Chania.
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Document type: Conference paper
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| Keyword |
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| Author keywords |
Remote sensing, intertidal sediments, geostatistics, semi-variogram, spatial analysis, ALGASED |
| Authors | | Top |
- Ibrahim, E.
- Govaerts, A.
- Regmi, P.
- Druyts, J.
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- van der Wal, D.
- Adam, S.
- Vervoort, A.
- Monbaliu, J.
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- De Wever, A.
- Sabbe, K., more
- Forster, R.
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| Abstract |
Remote sensing offers opportunities to efficiently acquire data of intertidal flats and characterize intertidal sediments. Each type of imagery with a different spatial resolution offers a distinctive perception. The objective of this research is to investigate the impact of these properties on sediment characterization. A hyperspectral airborne image of 4 m pixel size accompanied by field data is used. The study consists of a geostatistical analysis of spatial correlations for the hyperspectral image and imagery depicting specific sediment properties (moisture content and chlorophyll a content). The results show that there is information lost when the pixel size of the image increases to 24 m pixel size. To characterize relative moisture content, a maximum pixel size of 12m can be used. While for chlorophyll a content characterization, increasing the pixel size (investigated up to 72 m) does not degrade the information significantly . The research presented in this paper is funded by the Belgian Science Policy Office in the frame of the STEREO II programme (ALGASED project). |
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