Objective
The global aim of the present study is to develop the necessary tools for exploiting the new potential of the ocean colour technique brought by the launching of improved sensors, over European coasts. The specific objectives are:
Objective 1: To produce a large data set of the inherent optical properties of the main classes of optically active substances in European coastal waters. This objective should lead to the advancement of knowledge in two ways. Firstly, very significant improvements have recently been obtained in marine optics instrumentation and in methods for deconvoluting the individual contributions of optically active substance to bulk inherent and apparent optical properties of seawater. These recent improvements have not been yet fully exploited in the frame of algorithm development for ocean colour remote sensing, applied to coastal waters. Secondly, the present study proposes the first concerted effort for acquiring a complete set of marine optics data over European coasts which, moreover, would account for the most recent technical advancements in marine optics. To this day, all marine optics data set i) are either incomplete in regards to the number of measured variables, ii) cover limited areas or iii) do not take advantage of the most recent instrumentation now available. The present study aims to fill all these gaps. Objective 2: To determine quantitatively the effect of red tides on ocean colour. In addition to a new channel around 410-420 nm, the forthcoming ocean colour sensors will include another new one around 490 nm. The availability of such a channel should open the way to new applications, especially in coastal waters. For instance, it may allow the remote detection of red tides. Objective 3: To produce optimised algorithms using the new acquired optical data set, which will allow to produce maps of the main optically active seawater components (including red tides) using the future ocean colour sensors (new spectral bands). In addition to providing new algorithms, the true possibilities and limitations of ocean colour remote sensing in coastal waters will be assessed. The effect of sea bottom, sun glint, white caps, ... on the radiance signal will be determined.
Objective 4: To provide operational ocean colour algorithms for specific ocean colour sensors. This objective will be fulfilled by using a numerical "end-to-end" simulator that integrates the whole processing chain of a given sensor (navigation related corrections, radiometric corrections, classification of land, cloud and ocean pixels, atmospheric corrections, determination of seawater component concentrations based on algorithms developed in previous operations). The simulator will also allow to test different approaches used for algorithms.
Objective 5: To implement ocean colour analysis into a video server frame, allowing a wide field of users to exploit this information for economically and socially important applications. As suggested by the applications of ocean colour described above, the main users of ending products are often non-experts of remote sensing data processing. These users are rather found in environmental and engineering sciences, or even in the civil sector. Considering the recent progresses, developments and implementations in the field of electronic links (e.g. Internet) and computer video servers (e.g. WWW), ocean colour products should become easily accessible to users at any time and locations.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet
- engineering and technology materials engineering colors
- engineering and technology environmental engineering remote sensing
- natural sciences physical sciences optics
- natural sciences computer and information sciences data science data processing
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
06904 SOPHIA ANTIPOLIS
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.