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| Imaging spectroscopy for coastal biogeochemistry of estuaries and plumes Shimoni, M.; Acheroy, M. (2006). Imaging spectroscopy for coastal biogeochemistry of estuaries and plumes, in: Bostater, C.R. et al. (Ed.) Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2006. Stockholm, Sweden, September 11-13, 2006. Proceedings of SPIE, the International Society for Optical Engineering, 6360: pp. U46-U55. https://dx.doi.org/10.1117/12.689992
In: Bostater, C.R. et al. (Ed.) (2006). Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2006. Stockholm, Sweden, September 11-13, 2006. Proceedings of SPIE, the International Society for Optical Engineering, 6360. SPIE: Bellingham. ISBN 0-8194-6455-4. 244 pp., meer
In: Proceedings of SPIE, the International Society for Optical Engineering. SPIE: Bellingham, WA. ISSN 0277-786X; e-ISSN 1996-756X, meer
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| Abstract |
On September 2002, an airborne campaign using CASI sensor covered part of the Scheldt estuary (BelgiumNetherlands coastal zone). A 13 sampling stations field survey was realised in order to cover as quickly as possible the wide range of water quality encountered from the mouth of the estuary to the outer limit of the plume. Correlation was searched between classical ground truth measurements and the rich information provided by numerous CASI-SWIR spectral bands carefully chosen. These relations were not sufficient enough to derive synoptic view of the spatial distribution of many biogeochemical parameters in the Scheldt estuary and plume. In this research we found that some biogeochernical parameters of interest in estuaries and plumes that were retrieved using imaging spectroscopy techniques as the MF (Matched filtering) and the MTMF (Mixture Tuned Matched Filtering) are very encouraging. We showed that using those spectra based processing techniques we could accurately obtained the concentration distribution of suspended particulate matter (SPM) and particulate organic matter (POM), that we could not retrieved using the classical statistical techniques. Moreover, using the imaging spectroscopy techniques we significantly improved the coloured dissolved organic matter (CDOM) concentration classification, relatively to the results derived using the multiple regression technique. |
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