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Conference Papers Year : 2016

An improved method for accurate computation of coastal upwelling index using Sea Surface Temperature Images

Abstract

In this paper we aim to present a new methodology to derive rigorous SST-based coastal upwelling index for the purpose of conducting a saisonal variablity of upwelling area along the Moroccan Atlantic coast. The method is based on the scientific knowledge of upwelling area and its spatial distribution provided by expert oceanographers.The latter consists in automatically identify and extract the region covered by the upwelling waters in the costal ocean of Morocco using the Fuzzy c-means algorithm and finding regions of homogeneous pixels. Then Region Growing process is used to filter out the remaining noisy structures in the offshort waters. The methodology is used to provide a satistical view of the spatial and temporal variability of the Moroccan upwelling activity. The relevance of the proposed Coastal Upwelling Index (CUI) is evaluated by an oceanographer using 86 8-days sea surface temperature images and it is shown to be superior to that of the standard upwelling index.
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Dates and versions

hal-01424036 , version 1 (01-01-2017)

Identifiers

  • HAL Id : hal-01424036 , version 1

Cite

Anass El Aouni, Khalid Minaoui, Ayoub Tamim, Khalid Daoudi, Hussein Yahia, et al.. An improved method for accurate computation of coastal upwelling index using Sea Surface Temperature Images. 13th ACS/IEEE International Conference on Computer Systems and Applications, ACS/IEEE, Nov 2016, Agadir, Morocco. ⟨hal-01424036⟩

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