Optimal Detection and Estimation of Marine Oil Spills Through Coherent Pluralism

Optimal Detection and Estimation of Marine Oil Spills Through Coherent Pluralism

Kufre Bassey (Statistics Department, Central Bank of Nigeria, Corporate Head Office, Abuja, Nigeria) and Polycarp Chigbu (School of Postgraduate Studies, University of Nigeria, Nsukka, Nigeria)
DOI: 10.4018/joris.2013010105
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Abstract

An important area of environmental science involves the combination of information from diverse sources relating to a similar endpoint. Majority of optical remote sensing techniques used for marine oil spills detection have been reported lately of having high number of false alarms (oil slick look-a-likes) phenomena which give rise to signals which appear to be oil but are not. Suggestions for radar image as an operational tool has also been made. However, due to the inherent risk in these tools, this paper presents the possible research directions of combining statistical techniques with remote sensing in marine oil spill detection and estimation.
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The Concepts Of Coherent Pluralism

An important area of environmental science involves the combination of information from diverse sources relating to a similar endpoint. A common rubric for combining the results of independent studies is to apply a meta-analysis (Piegorsch & Bailer, 2005). The term suggests a move past an analysis of standalone data or of a single analysis of pooled, multisource data, to one incorporating and synthesizing information from many associated sources. It was first coined by Glass (1976) in an application combining results in multiple social science studies and is now quite common in many social and biomedical applications (Wang & Wall, 2003; Piegorsch & Cox, 1996).

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