projects
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Publication date: 1 de June, 2021Eddy detection
This project is an approach to develop fuzzy clustering methods and their extension to dynamic versions, for the automatic identification, analysis and tracking of oceanic mesoscale phenomena in the Iberian Coastal Ocean. Knowledge aware neural networks will also be studied for classification and prediction of these phenomena by incorporating domain knowledge. Specifically, we are going to study the application of these methodologies to the presence of eddies, coastal upwelling and a coastal counter-current off Iberia, including their spatio-temporal evolution, from satellite remote sensing images.
Reference | PTDC/EIA/68183/2006 |
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Funding Total | 160.000,00 Euros |
Results | Identifying mesoscale eddy-related structures from remote sensing (RS) images of the sea surface temperature (SST) off the Portugal coast is a complex task due to the Ocean dynamics of this region. Here, upwelling currents and bathymetry effects produce countless and highly heterogeneous SST patterns, features of interest may have smooth boundaries, as well as edges associated to strong temperature gradients may not correspond to any eddy. All this limits the effectiveness of an image processing based on edge-features (which can be successfully applied to automatically detect eddies in other oceanographic areas, for instance close to the Gulf Stream). The scope of the present report is documenting the work progress performed in 2008 (LSTOP project under Grant PTDC/EIA/68183/2006) to implement a new Model for identifying Eddy-Related Structure from Iso-SST pattern (MERSI). The novelty of the MERSI scheme is the exploitation of iso-SST patterns associated to the eddy-related structure to code with a rule-based definition the process that allows for their visual identification (knowledge-based approach). In practice, this enables revealing various morphological parameters of the eddy-related structure (i.e., the location, scale, symmetry and rotation). A software application called SEAEDDY has been build on top of the MERSI scheme to enable interactive functionalities. SEAEDDY provides access to reference information valuable to improve the exploitation of SST data allowing for annotating the RS image and benchmarking the subjectivity of the visual survey. |
URL | http://www.fct.mctes.pt/projectos/pub/2006/Painel_Result/vglobal_projecto.asp?idProjecto=68183&idElemConcurso=895 |
State | Concluded |
Startdate | 01/01/2008 |
Enddate | 01/12/2011 |