| one publication added to basket [217321] | Harmonization of ocean color products
Peeters, S.W.M.; CoBiOS team (2012). Harmonization of ocean color products, in: 44th international Liège colloquium on ocean dynamics "Remote sensing of colour, temperature and salinity – new challenges and opportunities" - May 7-11, 2012. pp. 1
In: (2012). 44th international Liège colloquium on ocean dynamics "Remote sensing of colour, temperature and salinity – new challenges and opportunities" - May 7-11, 2012. GHER, Université de Liège: Liège. 126 pp., meer
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| Auteurs | | Top |
- Peeters, S.W.M.
- CoBiOS team
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| Abstract |
The Coastal Biomass Observatory Services (FP7 project CoBiOS) aims to integrate satellite products and ecological models into a really operational and user-relevant information service on high biomass blooms in Europe’s coastal waters. The focus of the project is on the North Sea and Baltic Sea and Danish Waters. CoBiOS will produce a harmonized and validated water transparency product based on satellite images for a large variety of coastal water types which will be used to force ecological models. The process of harmonization requires several steps, including consolidation and documentation of algorithms, comparison and validation of results and a method to use the information from several sources/algorithms together in order to get to an understanding of the variability (uncertainty) of the prediction of biomass. By adopting an ensemble approach we will be able to study the spatial variability of the per pixel statistics derived from ensembles of CHL or Kd maps. E.g. the spatial distribution of the standard deviation will be analyzed to determine areas where algorithms deviate because of a different handling of SIOPs, spectral band sets etc. Spatial similarities may point to areas where the atmospheric correction is forcing the solutions. Comparison of the per pixel ensemble mean to in situ observations will provide insight in the quality of satellite based maps, and further along the line, also in the quality of in-situ observations. We will present the method and early results. |
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